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@ -4,24 +4,711 @@ https://craftpip.github.io/jquery-confirm/
jquery-confirm is licensed under the MIT license:
The MIT License (MIT)
The MIT License (MIT)
Copyright (c) 2019 Boniface Pereira
Copyright (c) 2019 Boniface Pereira
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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furnished to do so, subject to the following conditions:
Permission is hereby granted, free of charge, to any person obtaining a copy
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in the Software without restriction, including without limitation the rights
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The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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SOFTWARE.
jszip
=====
https://stuk.github.io/jszip/
JSZip is dual licensed. At your choice you may use it under the MIT license *or* the GPLv3
license.
The MIT License
===============
Copyright (c) 2009-2016 Stuart Knightley, David Duponchel, Franz Buchinger, António Afonso
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
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The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
GPL version 3
=============
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THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
FileSaver.js
============
https://github.com/eligrey/FileSaver.js
FileSaver.js is licensed under the MIT license:
The MIT License
Copyright © 2016 [Eli Grey][1].
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished
to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
[1]: http://eligrey.com

32
CHANGES.md
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## v2.5
### Major Changes
- **Nearly twice as fast** - significantly faster speed of image generation. We're now pretty close to automatic1111's speed. Code contributions are welcome to make our project even faster: https://github.com/easydiffusion/sdkit/#is-it-fast
- **Mac M1/M2 support** - Experimental support for Mac M1/M2. Thanks @michaelgallacher, @JeLuf and vishae.
- **Full support for Stable Diffusion 2.1 (including CPU)** - supports loading v1.4 or v2.0 or v2.1 models seamlessly. No need to enable "Test SD2", and no need to add `sd2_` to your SD 2.0 model file names. Works on CPU as well.
- **Memory optimized Stable Diffusion 2.1** - you can now use Stable Diffusion 2.1 models, with the same low VRAM optimizations that we've always had for SD 1.4. Please note, the SD 2.0 and 2.1 models require more GPU and System RAM, as compared to the SD 1.4 and 1.5 models.
- **11 new samplers!** - explore the new samplers, some of which can generate great images in less than 10 inference steps! We've added the Karras and UniPC samplers.
- **Model Merging** - You can now merge two models (`.ckpt` or `.safetensors`) and output `.ckpt` or `.safetensors` models, optionally in `fp16` precision. Details: https://github.com/cmdr2/stable-diffusion-ui/wiki/Model-Merging
- **11 new samplers!** - explore the new samplers, some of which can generate great images in less than 10 inference steps! We've added the Karras and UniPC samplers. Thanks @Schorny for the UniPC samplers.
- **Model Merging** - You can now merge two models (`.ckpt` or `.safetensors`) and output `.ckpt` or `.safetensors` models, optionally in `fp16` precision. Details: https://github.com/cmdr2/stable-diffusion-ui/wiki/Model-Merging . Thanks @JeLuf.
- **Fast loading/unloading of VAEs** - No longer needs to reload the entire Stable Diffusion model, each time you change the VAE
- **Database of known models** - automatically picks the right configuration for known models. E.g. we automatically detect and apply "v" parameterization (required for some SD 2.0 models), and "fp32" attention precision (required for some SD 2.1 models).
- **Color correction for img2img** - an option to preserve the color profile (histogram) of the initial image. This is especially useful if you're getting red-tinted images after inpainting/masking.
- **Three GPU Memory Usage Settings** - `High` (fastest, maximum VRAM usage), `Balanced` (default - almost as fast, significantly lower VRAM usage), `Low` (slowest, very low VRAM usage). The `Low` setting is applied automatically for GPUs with less than 4 GB of VRAM.
- **Find models in sub-folders** - This allows you to organize your models into sub-folders inside `models/stable-diffusion`, instead of keeping them all in a single folder.
- **Save metadata as JSON** - You can now save the metadata files as either text or json files (choose in the Settings tab).
- **Find models in sub-folders** - This allows you to organize your models into sub-folders inside `models/stable-diffusion`, instead of keeping them all in a single folder. Thanks @patriceac and @ogmaresca.
- **Custom Modifier Categories** - Ability to create custom modifiers with thumbnails, and custom categories (and hierarchy of categories). Details: https://github.com/cmdr2/stable-diffusion-ui/wiki/Custom-Modifiers . Thanks @ogmaresca.
- **Embed metadata, or save as TXT/JSON** - You can now embed the metadata directly into the images, or save them as text or json files (choose in the Settings tab). Thanks @patriceac.
- **Major rewrite of the code** - Most of the codebase has been reorganized and rewritten, to make it more manageable and easier for new developers to contribute features. We've separated our core engine into a new project called `sdkit`, which allows anyone to easily integrate Stable Diffusion (and related modules like GFPGAN etc) into their programming projects (via a simple `pip install sdkit`): https://github.com/easydiffusion/sdkit/
- **Name change** - Last, and probably the least, the UI is now called "Easy Diffusion". It indicates the focus of this project - an easy way for people to play with Stable Diffusion.
Our focus continues to remain on an easy installation experience, and an easy user-interface. While still remaining pretty powerful, in terms of features and speed.
### Detailed changelog
* 2.5.20 - 18 Feb 2023 - Upgrade the version of transformers used.
* 2.5.30 - 28 Mar 2023 - Allow the user to undo the deletion of tasks or images, instead of showing a pop-up each time. The new `Undo` button will be present at the top of the UI. Thanks @JeLuf.
* 2.5.30 - 28 Mar 2023 - Support saving lossless WEBP images. Thanks @ogmaresca.
* 2.5.30 - 28 Mar 2023 - Lots of bug fixes for the UI (Read LoRA flag in metadata files, new prompt weight format with scrollwheel, fix overflow with lots of tabs, clear button in image editor, shorter filenames in download). Thanks @patriceac, @JeLuf and @ogmaresca.
* 2.5.29 - 27 Mar 2023 - Fix a bug where some non-square images would fail while inpainting with a `The size of tensor a must match size of tensor b` error.
* 2.5.29 - 27 Mar 2023 - Fix the `incorrect number of channels` error, when given a PNG image with an alpha channel in `Test Diffusers`.
* 2.5.29 - 27 Mar 2023 - Fix broken inpainting in `Test Diffusers` (beta).
* 2.5.28 - 24 Mar 2023 - Support for weighted prompts and long prompt lengths (not limited to 77 tokens). This change requires enabling the `Test Diffusers` setting in beta (in the Settings tab), and restarting the program.
* 2.5.27 - 21 Mar 2023 - LoRA support, accessible by enabling the `Test Diffusers` setting (in the Settings tab in the UI). This change switches the internal engine to diffusers (if the `Test Diffusers` setting is enabled). If the `Test Diffusers` flag is disabled, it'll have no impact for the user.
* 2.5.26 - 15 Mar 2023 - Allow styling the buttons displayed on an image. Update the API to allow multiple buttons and text labels in a single row. Thanks @ogmaresca.
* 2.5.26 - 15 Mar 2023 - View images in full-screen, by either clicking on the image, or clicking the "Full screen" icon next to the Seed number on the image. Thanks @ogmaresca for the internal API.
* 2.5.25 - 14 Mar 2023 - Button to download all the images, and all the metadata as a zip file. This is available at the top of the UI, as well as on each image. Thanks @JeLuf.
* 2.5.25 - 14 Mar 2023 - Lots of UI tweaks and bug fixes. Thanks @patriceac and @JeLuf.
* 2.5.24 - 11 Mar 2023 - Button to load an image mask from a file.
* 2.5.24 - 10 Mar 2023 - Logo change. Image credit: @lazlo_vii.
* 2.5.23 - 8 Mar 2023 - Experimental support for Mac M1/M2. Thanks @michaelgallacher, @JeLuf and vishae!
* 2.5.23 - 8 Mar 2023 - Ability to create custom modifiers with thumbnails, and custom categories (and hierarchy of categories). More details - https://github.com/cmdr2/stable-diffusion-ui/wiki/Custom-Modifiers . Thanks @ogmaresca.
* 2.5.22 - 28 Feb 2023 - Minor styling changes to UI buttons, and the models dropdown.
* 2.5.22 - 28 Feb 2023 - Lots of UI-related bug fixes. Thanks @patriceac.
* 2.5.21 - 22 Feb 2023 - An option to control the size of the image thumbnails. You can use the `Display options` in the top-right corner to change this. Thanks @JeLuf.
* 2.5.20 - 20 Feb 2023 - Support saving images in WEBP format (which consumes less disk space, with similar quality). Thanks @ogmaresca.
* 2.5.20 - 18 Feb 2023 - A setting to block NSFW images from being generated. You can enable this setting in the Settings tab.
* 2.5.19 - 17 Feb 2023 - Initial support for server-side plugins. Currently supports overriding the `get_cond_and_uncond()` function.
* 2.5.18 - 17 Feb 2023 - 5 new samplers! UniPC samplers, some of which produce images in less than 15 steps. Thanks @Schorny.
* 2.5.16 - 13 Feb 2023 - Searchable dropdown for models. This is useful if you have a LOT of models. You can type part of the model name, to auto-search through your models. Thanks @patriceac for the feature, and @AssassinJN for help in UI tweaks!

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!define EXISTING_INSTALLATION_DIR "D:\path\to\installed\easy-diffusion"

78
NSIS/sdui.nsi
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@ -1,20 +1,24 @@
; Script generated by the HM NIS Edit Script Wizard.
Target x86-unicode
Target amd64-unicode
Unicode True
!AddPluginDir /x86-unicode "."
SetCompressor /FINAL lzma
RequestExecutionLevel user
!AddPluginDir /amd64-unicode "."
; HM NIS Edit Wizard helper defines
!define PRODUCT_NAME "Stable Diffusion UI"
!define PRODUCT_VERSION "Installer 2.35"
!define PRODUCT_NAME "Easy Diffusion"
!define PRODUCT_VERSION "2.5"
!define PRODUCT_PUBLISHER "cmdr2 and contributors"
!define PRODUCT_WEB_SITE "https://stable-diffusion-ui.github.io"
!define PRODUCT_DIR_REGKEY "Software\Microsoft\Cmdr2\App Paths\installer.exe"
!define PRODUCT_DIR_REGKEY "Software\Microsoft\Easy Diffusion\App Paths\installer.exe"
; MUI 1.67 compatible ------
!include "MUI.nsh"
!include "LogicLib.nsh"
!include "nsDialogs.nsh"
!include "nsisconf.nsh"
Var Dialog
Var Label
Var Button
@ -106,7 +110,7 @@ Function DirectoryLeave
StrCpy $5 $INSTDIR 3
System::Call 'Kernel32::GetVolumeInformation(t "$5",t,i ${NSIS_MAX_STRLEN},*i,*i,*i,t.r1,i ${NSIS_MAX_STRLEN})i.r0'
${If} $0 <> 0
${AndIf} $1 == "NTFS"
${AndIf} $1 != "NTFS"
MessageBox mb_ok "$5 has filesystem type '$1'.$\nOnly NTFS filesystems are supported.$\nPlease choose a different drive."
Abort
${EndIf}
@ -140,7 +144,7 @@ Function MediaPackDialog
Abort
${EndIf}
${NSD_CreateLabel} 0 0 100% 48u "The Windows Media Feature Pack is missing on this computer. It is required for the Stable Diffusion UI.$\nYou can continue the installation after installing the Windows Media Feature Pack."
${NSD_CreateLabel} 0 0 100% 48u "The Windows Media Feature Pack is missing on this computer. It is required for Easy Diffusion.$\nYou can continue the installation after installing the Windows Media Feature Pack."
Pop $Label
${NSD_CreateButton} 10% 49u 80% 12u "Download Meda Feature Pack from Microsoft"
@ -153,16 +157,20 @@ Function MediaPackDialog
nsDialogs::Show
FunctionEnd
Function FinishPageAction
CreateShortCut "$DESKTOP\Easy Diffusion.lnk" "$INSTDIR\Start Stable Diffusion UI.cmd" "" "$INSTDIR\installer_files\cyborg_flower_girl.ico"
FunctionEnd
;---------------------------------------------------------------------------------------------------------
; MUI Settings
;---------------------------------------------------------------------------------------------------------
!define MUI_ABORTWARNING
!define MUI_ICON "sd.ico"
!define MUI_ICON "cyborg_flower_girl.ico"
!define MUI_WELCOMEFINISHPAGE_BITMAP "astro.bmp"
!define MUI_WELCOMEFINISHPAGE_BITMAP "cyborg_flower_girl.bmp"
; Welcome page
!define MUI_WELCOMEPAGE_TEXT "This installer will guide you through the installation of Stable Diffusion UI.$\n$\n\
!define MUI_WELCOMEPAGE_TEXT "This installer will guide you through the installation of Easy Diffusion.$\n$\n\
Click Next to continue."
!insertmacro MUI_PAGE_WELCOME
Page custom MediaPackDialog
@ -178,6 +186,11 @@ Page custom MediaPackDialog
!insertmacro MUI_PAGE_INSTFILES
; Finish page
!define MUI_FINISHPAGE_SHOWREADME ""
!define MUI_FINISHPAGE_SHOWREADME_NOTCHECKED
!define MUI_FINISHPAGE_SHOWREADME_TEXT "Create Desktop Shortcut"
!define MUI_FINISHPAGE_SHOWREADME_FUNCTION FinishPageAction
!define MUI_FINISHPAGE_RUN "$INSTDIR\Start Stable Diffusion UI.cmd"
!insertmacro MUI_PAGE_FINISH
@ -188,8 +201,8 @@ Page custom MediaPackDialog
;---------------------------------------------------------------------------------------------------------
Name "${PRODUCT_NAME} ${PRODUCT_VERSION}"
OutFile "Install Stable Diffusion UI.exe"
InstallDir "C:\Stable-Diffusion-UI\"
OutFile "Install Easy Diffusion.exe"
InstallDir "C:\EasyDiffusion\"
InstallDirRegKey HKLM "${PRODUCT_DIR_REGKEY}" ""
ShowInstDetails show
@ -200,15 +213,42 @@ Section "MainSection" SEC01
File "..\CreativeML Open RAIL-M License"
File "..\How to install and run.txt"
File "..\LICENSE"
File "..\Start Stable Diffusion UI.cmd"
File "..\scripts\Start Stable Diffusion UI.cmd"
File /r "${EXISTING_INSTALLATION_DIR}\installer_files"
File /r "${EXISTING_INSTALLATION_DIR}\profile"
File /r "${EXISTING_INSTALLATION_DIR}\sd-ui-files"
SetOutPath "$INSTDIR\installer_files"
File "cyborg_flower_girl.ico"
SetOutPath "$INSTDIR\scripts"
File "..\scripts\bootstrap.bat"
File "..\scripts\install_status.txt"
File "${EXISTING_INSTALLATION_DIR}\scripts\install_status.txt"
File "..\scripts\on_env_start.bat"
File "C:\windows\system32\curl.exe"
CreateDirectory "$INSTDIR\profile"
CreateDirectory "$SMPROGRAMS\Stable Diffusion UI"
CreateShortCut "$SMPROGRAMS\Stable Diffusion UI\Start Stable Diffusion UI.lnk" "$INSTDIR\Start Stable Diffusion UI.cmd"
CreateDirectory "$INSTDIR\models"
CreateDirectory "$INSTDIR\models\stable-diffusion"
CreateDirectory "$INSTDIR\models\gfpgan"
CreateDirectory "$INSTDIR\models\realesrgan"
CreateDirectory "$INSTDIR\models\vae"
CreateDirectory "$SMPROGRAMS\Easy Diffusion"
CreateShortCut "$SMPROGRAMS\Easy Diffusion\Easy Diffusion.lnk" "$INSTDIR\Start Stable Diffusion UI.cmd" "" "$INSTDIR\installer_files\cyborg_flower_girl.ico"
DetailPrint 'Downloading the Stable Diffusion 1.4 model...'
NScurl::http get "https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt" "$INSTDIR\models\stable-diffusion\sd-v1-4.ckpt" /CANCEL /INSIST /END
DetailPrint 'Downloading the GFPGAN model...'
NScurl::http get "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth" "$INSTDIR\models\gfpgan\GFPGANv1.3.pth" /CANCEL /INSIST /END
DetailPrint 'Downloading the RealESRGAN_x4plus model...'
NScurl::http get "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth" "$INSTDIR\models\realesrgan\RealESRGAN_x4plus.pth" /CANCEL /INSIST /END
DetailPrint 'Downloading the RealESRGAN_x4plus_anime model...'
NScurl::http get "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth" "$INSTDIR\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth" /CANCEL /INSIST /END
DetailPrint 'Downloading the default VAE (sd-vae-ft-mse-original) model...'
NScurl::http get "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt" "$INSTDIR\models\vae\vae-ft-mse-840000-ema-pruned.ckpt" /CANCEL /INSIST /END
DetailPrint 'Downloading the CLIP model (clip-vit-large-patch14)...'
NScurl::http get "https://huggingface.co/openai/clip-vit-large-patch14/resolve/8d052a0f05efbaefbc9e8786ba291cfdf93e5bff/pytorch_model.bin" "$INSTDIR\profile\.cache\huggingface\hub\models--openai--clip-vit-large-patch14\snapshots\8d052a0f05efbaefbc9e8786ba291cfdf93e5bff\pytorch_model.bin" /CANCEL /INSIST /END
SectionEnd
;---------------------------------------------------------------------------------------------------------
@ -254,7 +294,7 @@ Function .onInit
${If} $4 < "8000"
MessageBox MB_OK|MB_ICONEXCLAMATION "Warning!$\n$\nYour system has less than 8GB of memory (RAM).$\n$\n\
You can still try to install Stable Diffusion UI,$\nbut it might have problems to start, or run$\nvery slowly."
You can still try to install Easy Diffusion,$\nbut it might have problems to start, or run$\nvery slowly."
${EndIf}
FunctionEnd

46
README.md
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@ -3,37 +3,36 @@
Does not require technical knowledge, does not require pre-installed software. 1-click install, powerful features, friendly community.
[Installation guide](#step-1-download-and-extract-the-installer) | [Troubleshooting guide](https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting) | <sub>[![Discord Server](https://img.shields.io/discord/1014774730907209781?label=Discord)](https://discord.com/invite/u9yhsFmEkB)</sub> <sup>(for support queries, and development discussions)</sup>
[Installation guide](#installation) | [Troubleshooting guide](https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting) | <sub>[![Discord Server](https://img.shields.io/discord/1014774730907209781?label=Discord)](https://discord.com/invite/u9yhsFmEkB)</sub> <sup>(for support queries, and development discussions)</sup>
![t2i](https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/assets/stable-samples/txt2img/768/merged-0006.png)
# Step 1: Download and extract the installer
# Installation
Click the download button for your operating system:
<p float="left">
<a href="https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.4.13/stable-diffusion-ui-windows.zip"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/main/media/download-win.png" width="200" /></a>
<a href="https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.4.13/stable-diffusion-ui-linux.zip"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/main/media/download-linux.png" width="200" /></a>
<a href="https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.5.24/Easy-Diffusion-Windows.exe"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/main/media/download-win.png" width="200" /></a>
<a href="https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.5.24/Easy-Diffusion-Linux.zip"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/main/media/download-linux.png" width="200" /></a>
<a href="https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.5.24/Easy-Diffusion-Mac.zip"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/main/media/download-mac.png" width="200" /></a>
</p>
## On Windows:
1. Unzip/extract the folder `stable-diffusion-ui` which should be in your downloads folder, unless you changed your default downloads destination.
2. Move the `stable-diffusion-ui` folder to your `C:` drive (or any other drive like `D:`, at the top root level). `C:\stable-diffusion-ui` or `D:\stable-diffusion-ui` as examples. This will avoid a common problem with Windows (file path length limits).
## On Linux:
1. Unzip/extract the folder `stable-diffusion-ui` which should be in your downloads folder, unless you changed your default downloads destination.
2. Open a terminal window, and navigate to the `stable-diffusion-ui` directory.
# Step 2: Run the program
## On Windows:
Double-click `Start Stable Diffusion UI.cmd`.
If Windows SmartScreen prevents you from running the program click `More info` and then `Run anyway`.
## On Linux:
Run `./start.sh` (or `bash start.sh`) in a terminal.
The installer will take care of whatever is needed. If you face any problems, you can join the friendly [Discord community](https://discord.com/invite/u9yhsFmEkB) and ask for assistance.
# Step 3: There is no Step 3. It's that simple!
## On Windows:
1. Run the downloaded `Easy-Diffusion-Windows.exe` file.
2. Run `Easy Diffusion` once the installation finishes. You can also start from your Start Menu, or from your desktop (if you created a shortcut).
**To Uninstall:** Just delete the `stable-diffusion-ui` folder to uninstall all the downloaded packages.
If Windows SmartScreen prevents you from running the program click `More info` and then `Run anyway`.
**Tip:** On Windows 10, please install at the top level in your drive, e.g. `C:\EasyDiffusion` or `D:\EasyDiffusion`. This will avoid a common problem with Windows 10 (file path length limits).
## On Linux/Mac:
1. Unzip/extract the folder `easy-diffusion` which should be in your downloads folder, unless you changed your default downloads destination.
2. Open a terminal window, and navigate to the `easy-diffusion` directory.
3. Run `./start.sh` (or `bash start.sh`) in a terminal.
# To remove/uninstall:
Just delete the `EasyDiffusion` folder to uninstall all the downloaded packages.
----
@ -50,11 +49,11 @@ The installer will take care of whatever is needed. If you face any problems, yo
- **Multiple Prompts File**: Queue multiple prompts by entering one prompt per line, or by running a text file.
- **Save generated images to disk**: Save your images to your PC!
- **UI Themes**: Customize the program to your liking.
- **Organize your models into sub-folders**
- **Searchable models dropdown**: organize your models into sub-folders, and search through them in the UI.
### Image generation
- **Supports**: "*Text to Image*" and "*Image to Image*".
- **14 Samplers**: `ddim`, `plms`, `heun`, `euler`, `euler_a`, `dpm2`, `dpm2_a`, `lms`, `dpm_solver_stability`, `dpmpp_2s_a`, `dpmpp_2m`, `dpmpp_sde`, `dpm_fast`, `dpm_adaptive`
- **19 Samplers**: `ddim`, `plms`, `heun`, `euler`, `euler_a`, `dpm2`, `dpm2_a`, `lms`, `dpm_solver_stability`, `dpmpp_2s_a`, `dpmpp_2m`, `dpmpp_sde`, `dpm_fast`, `dpm_adaptive`, `unipc_snr`, `unipc_tu`, `unipc_tq`, `unipc_snr_2`, `unipc_tu_2`.
- **In-Painting**: Specify areas of your image to paint into.
- **Simple Drawing Tool**: Draw basic images to guide the AI, without needing an external drawing program.
- **Face Correction (GFPGAN)**
@ -67,7 +66,7 @@ The installer will take care of whatever is needed. If you face any problems, yo
- **1-click Upscale/Face Correction**: Upscale or correct an image after it has been generated.
- **Make Similar Images**: Click to generate multiple variations of a generated image.
- **NSFW Setting**: A setting in the UI to control *NSFW content*.
- **JPEG/PNG output**: Multiple file formats.
- **JPEG/PNG/WEBP output**: Multiple file formats.
### Advanced features
- **Custom Models**: Use your own `.ckpt` or `.safetensors` file, by placing it inside the `models/stable-diffusion` folder!
@ -75,6 +74,7 @@ The installer will take care of whatever is needed. If you face any problems, yo
- **Merge Models**
- **Use custom VAE models**
- **Use pre-trained Hypernetworks**
- **Use custom GFPGAN models**
- **UI Plugins**: Choose from a growing list of [community-generated UI plugins](https://github.com/cmdr2/stable-diffusion-ui/wiki/UI-Plugins), or write your own plugin to add features to the project!
### Performance and security

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@ -25,15 +25,12 @@ if exist "on_sd_start.bat" (
@rem set legacy installer's PATH, if it exists
if exist "installer" set PATH=%cd%\installer;%cd%\installer\Library\bin;%cd%\installer\Scripts;%cd%\installer\Library\usr\bin;%PATH%
@rem Setup the packages required for the installer
call scripts\bootstrap.bat
@rem set new installer's PATH, if it downloaded any packages
if exist "installer_files\env" set PATH=%cd%\installer_files\env;%cd%\installer_files\env\Library\bin;%cd%\installer_files\env\Scripts;%cd%\installer_files\Library\usr\bin;%PATH%
set PYTHONPATH=%cd%\installer;%cd%\installer_files\env
@rem Test the bootstrap
@rem Test the core requirements
call where git
call git --version

7
scripts/bootstrap.bat
View File

@ -1,4 +1,5 @@
@echo off
setlocal enabledelayedexpansion
@rem This script will install git and conda (if not found on the PATH variable)
@rem using micromamba (an 8mb static-linked single-file binary, conda replacement).
@ -28,10 +29,10 @@ if not exist "%LEGACY_INSTALL_ENV_DIR%\etc\profile.d\conda.sh" (
)
call git --version >.tmp1 2>.tmp2
if "%ERRORLEVEL%" NEQ "0" set PACKAGES_TO_INSTALL=%PACKAGES_TO_INSTALL% git
if "!ERRORLEVEL!" NEQ "0" set PACKAGES_TO_INSTALL=%PACKAGES_TO_INSTALL% git
call "%MAMBA_ROOT_PREFIX%\micromamba.exe" --version >.tmp1 2>.tmp2
if "%ERRORLEVEL%" EQU "0" set umamba_exists=T
if "!ERRORLEVEL!" EQU "0" set umamba_exists=T
@rem (if necessary) install git and conda into a contained environment
if "%PACKAGES_TO_INSTALL%" NEQ "" (
@ -42,7 +43,7 @@ if "%PACKAGES_TO_INSTALL%" NEQ "" (
mkdir "%MAMBA_ROOT_PREFIX%"
call curl -Lk "%MICROMAMBA_DOWNLOAD_URL%" > "%MAMBA_ROOT_PREFIX%\micromamba.exe"
if "%ERRORLEVEL%" NEQ "0" (
if "!ERRORLEVEL!" NEQ "0" (
echo "There was a problem downloading micromamba. Cannot continue."
pause
exit /b

4
scripts/bootstrap.sh
View File

@ -21,6 +21,7 @@ OS_ARCH=$(uname -m)
case "${OS_ARCH}" in
x86_64*) OS_ARCH="64";;
arm64*) OS_ARCH="arm64";;
aarch64*) OS_ARCH="arm64";;
*) echo "Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64" && exit
esac
@ -29,9 +30,6 @@ if ! which tar; then fail "'tar' not found. Please install tar."; fi
if ! which bzip2; then fail "'bzip2' not found. Please install bzip2."; fi
if pwd | grep ' '; then fail "The installation directory's path contains a space character. Conda will fail to install. Please change the directory."; fi
if [ -f /proc/cpuinfo ]; then
if ! cat /proc/cpuinfo | grep avx | uniq; then fail "Your CPU doesn't support AVX."; fi
fi
# https://mamba.readthedocs.io/en/latest/installation.html
if [ "$OS_NAME" == "linux" ] && [ "$OS_ARCH" == "arm64" ]; then OS_ARCH="aarch64"; fi

0
scripts/install_status.txt Normal file
View File

1
scripts/on_env_start.bat
View File

@ -52,7 +52,6 @@ if "%update_branch%"=="" (
@xcopy sd-ui-files\ui ui /s /i /Y /q
@copy sd-ui-files\scripts\on_sd_start.bat scripts\ /Y
@copy sd-ui-files\scripts\bootstrap.bat scripts\ /Y
@copy sd-ui-files\scripts\check_modules.py scripts\ /Y
@copy "sd-ui-files\scripts\Start Stable Diffusion UI.cmd" . /Y
@copy "sd-ui-files\scripts\Developer Console.cmd" . /Y

13
scripts/on_sd_start.bat
View File

@ -61,6 +61,9 @@ if exist "GFPGANv1.3.pth" move GFPGANv1.3.pth ..\models\gfpgan\
if exist "RealESRGAN_x4plus.pth" move RealESRGAN_x4plus.pth ..\models\realesrgan\
if exist "RealESRGAN_x4plus_anime_6B.pth" move RealESRGAN_x4plus_anime_6B.pth ..\models\realesrgan\
if not exist "%INSTALL_ENV_DIR%\DLLs\libssl-1_1-x64.dll" copy "%INSTALL_ENV_DIR%\Library\bin\libssl-1_1-x64.dll" "%INSTALL_ENV_DIR%\DLLs\"
if not exist "%INSTALL_ENV_DIR%\DLLs\libcrypto-1_1-x64.dll" copy "%INSTALL_ENV_DIR%\Library\bin\libcrypto-1_1-x64.dll" "%INSTALL_ENV_DIR%\DLLs\"
@rem install torch and torchvision
call python ..\scripts\check_modules.py torch torchvision
if "%ERRORLEVEL%" EQU "0" (
@ -72,7 +75,7 @@ if "%ERRORLEVEL%" EQU "0" (
set PYTHONNOUSERSITE=1
set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
call python -m pip install --upgrade torch torchvision --extra-index-url https://download.pytorch.org/whl/cu116 || (
call python -m pip install --upgrade torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116 || (
echo "Error installing torch. Sorry about that, please try to:" & echo " 1. Run this installer again." & echo " 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting" & echo " 3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB" & echo " 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
pause
exit /b
@ -92,7 +95,7 @@ if "%ERRORLEVEL%" EQU "0" (
set PYTHONNOUSERSITE=1
set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
call python -m pip install --upgrade sdkit==1.0.40 -q || (
call python -m pip install --upgrade sdkit==1.0.60 -q || (
echo "Error updating sdkit"
)
)
@ -103,7 +106,7 @@ if "%ERRORLEVEL%" EQU "0" (
set PYTHONNOUSERSITE=1
set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
call python -m pip install sdkit || (
call python -m pip install sdkit==1.0.60 || (
echo "Error installing sdkit. Sorry about that, please try to:" & echo " 1. Run this installer again." & echo " 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting" & echo " 3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB" & echo " 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
pause
exit /b
@ -113,7 +116,7 @@ if "%ERRORLEVEL%" EQU "0" (
call python -c "from importlib.metadata import version; print('sdkit version:', version('sdkit'))"
@rem upgrade stable-diffusion-sdkit
call python -m pip install --upgrade stable-diffusion-sdkit==2.1.3 -q || (
call python -m pip install --upgrade stable-diffusion-sdkit==2.1.4 -q || (
echo "Error updating stable-diffusion-sdkit"
)
call python -c "from importlib.metadata import version; print('stable-diffusion version:', version('stable-diffusion-sdkit'))"
@ -296,7 +299,7 @@ call WHERE uvicorn > .tmp
@call curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth > ..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth
@if exist "..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth" (
for %%I in ("RealESRGAN_x4plus_anime_6B.pth") do if "%%~zI" NEQ "17938799" (
for %%I in ("..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth") do if "%%~zI" NEQ "17938799" (
echo. & echo "Error: The downloaded ESRGAN x4plus_anime model file was invalid! Bytes downloaded: %%~zI" & echo.
echo. & echo "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime. Sorry about that, please try to:" & echo " 1. Run this installer again." & echo " 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting" & echo " 3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB" & echo " 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
pause

37
scripts/on_sd_start.sh
View File

@ -56,8 +56,22 @@ if [ -e "GFPGANv1.3.pth" ]; then mv GFPGANv1.3.pth ../models/gfpgan/; fi
if [ -e "RealESRGAN_x4plus.pth" ]; then mv RealESRGAN_x4plus.pth ../models/realesrgan/; fi
if [ -e "RealESRGAN_x4plus_anime_6B.pth" ]; then mv RealESRGAN_x4plus_anime_6B.pth ../models/realesrgan/; fi
OS_NAME=$(uname -s)
case "${OS_NAME}" in
Linux*) OS_NAME="linux";;
Darwin*) OS_NAME="macos";;
*) echo "Unknown OS: $OS_NAME! This script runs only on Linux or Mac" && exit
esac
# install torch and torchvision
if python ../scripts/check_modules.py torch torchvision; then
# temp fix for installations that installed torch 2.0 by mistake
if [ "$OS_NAME" == "linux" ]; then
python -m pip install --upgrade torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116 -q
elif [ "$OS_NAME" == "macos" ]; then
python -m pip install --upgrade torch==1.13.1 torchvision==0.14.1 -q
fi
echo "torch and torchvision have already been installed."
else
echo "Installing torch and torchvision.."
@ -65,10 +79,18 @@ else
export PYTHONNOUSERSITE=1
export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
if python -m pip install --upgrade torch torchvision --extra-index-url https://download.pytorch.org/whl/cu116 ; then
echo "Installed."
else
fail "torch install failed"
if [ "$OS_NAME" == "linux" ]; then
if python -m pip install --upgrade torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116 ; then
echo "Installed."
else
fail "torch install failed"
fi
elif [ "$OS_NAME" == "macos" ]; then
if python -m pip install --upgrade torch==1.13.1 torchvision==0.14.1 ; then
echo "Installed."
else
fail "torch install failed"
fi
fi
fi
@ -81,7 +103,7 @@ if python ../scripts/check_modules.py sdkit sdkit.models ldm transformers numpy
export PYTHONNOUSERSITE=1
export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
python -m pip install --upgrade sdkit==1.0.40 -q
python -m pip install --upgrade sdkit==1.0.60 -q
fi
else
echo "Installing sdkit: https://pypi.org/project/sdkit/"
@ -89,7 +111,7 @@ else
export PYTHONNOUSERSITE=1
export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
if python -m pip install sdkit ; then
if python -m pip install sdkit==1.0.60 ; then
echo "Installed."
else
fail "sdkit install failed"
@ -99,7 +121,7 @@ fi
python -c "from importlib.metadata import version; print('sdkit version:', version('sdkit'))"
# upgrade stable-diffusion-sdkit
python -m pip install --upgrade stable-diffusion-sdkit==2.1.3 -q
python -m pip install --upgrade stable-diffusion-sdkit==2.1.4 -q
python -c "from importlib.metadata import version; print('stable-diffusion version:', version('stable-diffusion-sdkit'))"
# install rich
@ -301,6 +323,7 @@ printf "\n\nEasy Diffusion installation complete, starting the server!\n\n"
SD_PATH=`pwd`
export PYTORCH_ENABLE_MPS_FALLBACK=1
export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
echo "PYTHONPATH=$PYTHONPATH"

92
ui/easydiffusion/app.py
View File

@ -8,6 +8,7 @@ import shlex
from ruamel.yaml import YAML
yaml = YAML()
import urllib
from rich.logging import RichHandler
from sdkit.utils import log as sdkit_log # hack, so we can overwrite the log config
@ -57,6 +58,10 @@ APP_CONFIG_DEFAULTS = {
},
}
IMAGE_EXTENSIONS = [".png", ".apng", ".jpg", ".jpeg", ".jfif", ".pjpeg", ".pjp", ".jxl", ".gif", ".webp", ".avif", ".svg"]
CUSTOM_MODIFIERS_DIR = os.path.abspath(os.path.join(SD_DIR, "..", "modifiers"))
CUSTOM_MODIFIERS_PORTRAIT_EXTENSIONS=[".portrait", "_portrait", " portrait", "-portrait"]
CUSTOM_MODIFIERS_LANDSCAPE_EXTENSIONS=[".landscape", "_landscape", " landscape", "-landscape"]
def init():
os.makedirs(USER_UI_PLUGINS_DIR, exist_ok=True)
@ -254,3 +259,90 @@ def open_browser():
import webbrowser
webbrowser.open(f"http://localhost:{port}")
def get_image_modifiers():
modifiers_json_path = os.path.join(SD_UI_DIR, "modifiers.json")
modifier_categories = {}
original_category_order=[]
with open(modifiers_json_path, "r", encoding="utf-8") as f:
modifiers_file = json.load(f)
# The trailing slash is needed to support symlinks
if not os.path.isdir(f"{CUSTOM_MODIFIERS_DIR}/"):
return modifiers_file
# convert modifiers from a list of objects to a dict of dicts
for category_item in modifiers_file:
category_name = category_item['category']
original_category_order.append(category_name)
category = {}
for modifier_item in category_item['modifiers']:
modifier = {}
for preview_item in modifier_item['previews']:
modifier[preview_item['name']] = preview_item['path']
category[modifier_item['modifier']] = modifier
modifier_categories[category_name] = category
def scan_directory(directory_path: str, category_name="Modifiers"):
for entry in os.scandir(directory_path):
if entry.is_file():
file_extension = list(filter(lambda e: entry.name.endswith(e), IMAGE_EXTENSIONS))
if len(file_extension) == 0:
continue
modifier_name = entry.name[: -len(file_extension[0])]
modifier_path = f"custom/{entry.path[len(CUSTOM_MODIFIERS_DIR) + 1:]}"
# URL encode path segments
modifier_path = "/".join(map(lambda segment: urllib.parse.quote(segment), modifier_path.split("/")))
is_portrait = True
is_landscape = True
portrait_extension = list(filter(lambda e: modifier_name.lower().endswith(e), CUSTOM_MODIFIERS_PORTRAIT_EXTENSIONS))
landscape_extension = list(filter(lambda e: modifier_name.lower().endswith(e), CUSTOM_MODIFIERS_LANDSCAPE_EXTENSIONS))
if len(portrait_extension) > 0:
is_landscape = False
modifier_name = modifier_name[: -len(portrait_extension[0])]
elif len(landscape_extension) > 0:
is_portrait = False
modifier_name = modifier_name[: -len(landscape_extension[0])]
if (category_name not in modifier_categories):
modifier_categories[category_name] = {}
category = modifier_categories[category_name]
if (modifier_name not in category):
category[modifier_name] = {}
if (is_portrait or "portrait" not in category[modifier_name]):
category[modifier_name]["portrait"] = modifier_path
if (is_landscape or "landscape" not in category[modifier_name]):
category[modifier_name]["landscape"] = modifier_path
elif entry.is_dir():
scan_directory(
entry.path,
entry.name if directory_path==CUSTOM_MODIFIERS_DIR else f"{category_name}/{entry.name}",
)
scan_directory(CUSTOM_MODIFIERS_DIR)
custom_categories = sorted(
[cn for cn in modifier_categories.keys() if cn not in original_category_order],
key=str.casefold,
)
# convert the modifiers back into a list of objects
modifier_categories_list = []
for category_name in [*original_category_order, *custom_categories]:
category = { 'category': category_name, 'modifiers': [] }
for modifier_name in sorted(modifier_categories[category_name].keys(), key=str.casefold):
modifier = { 'modifier': modifier_name, 'previews': [] }
for preview_name, preview_path in modifier_categories[category_name][modifier_name].items():
modifier['previews'].append({ 'name': preview_name, 'path': preview_path })
category['modifiers'].append(modifier)
modifier_categories_list.append(category)
return modifier_categories_list

84
ui/easydiffusion/device_manager.py
View File

@ -1,4 +1,5 @@
import os
import platform
import torch
import traceback
import re
@ -21,20 +22,20 @@ mem_free_threshold = 0
def get_device_delta(render_devices, active_devices):
"""
render_devices: 'cpu', or 'auto' or ['cuda:N'...]
active_devices: ['cpu', 'cuda:N'...]
render_devices: 'cpu', or 'auto', or 'mps' or ['cuda:N'...]
active_devices: ['cpu', 'mps', 'cuda:N'...]
"""
if render_devices in ("cpu", "auto"):
if render_devices in ("cpu", "auto", "mps"):
render_devices = [render_devices]
elif render_devices is not None:
if isinstance(render_devices, str):
render_devices = [render_devices]
if isinstance(render_devices, list) and len(render_devices) > 0:
render_devices = list(filter(lambda x: x.startswith("cuda:"), render_devices))
render_devices = list(filter(lambda x: x.startswith("cuda:") or x == "mps", render_devices))
if len(render_devices) == 0:
raise Exception(
'Invalid render_devices value in config.json. Valid: {"render_devices": ["cuda:0", "cuda:1"...]}, or {"render_devices": "cpu"} or {"render_devices": "auto"}'
'Invalid render_devices value in config.json. Valid: {"render_devices": ["cuda:0", "cuda:1"...]}, or {"render_devices": "cpu"} or {"render_devices": "mps"} or {"render_devices": "auto"}'
)
render_devices = list(filter(lambda x: is_device_compatible(x), render_devices))
@ -63,10 +64,26 @@ def get_device_delta(render_devices, active_devices):
return devices_to_start, devices_to_stop
def is_mps_available():
return (
platform.system() == "Darwin"
and hasattr(torch.backends, "mps")
and torch.backends.mps.is_available()
and torch.backends.mps.is_built()
)
def is_cuda_available():
return torch.cuda.is_available()
def auto_pick_devices(currently_active_devices):
global mem_free_threshold
if not torch.cuda.is_available():
if is_mps_available():
return ["mps"]
if not is_cuda_available():
return ["cpu"]
device_count = torch.cuda.device_count()
@ -115,11 +132,11 @@ def device_init(context, device):
validate_device_id(device, log_prefix="device_init")
if device == "cpu":
context.device = "cpu"
if "cuda" not in device:
context.device = device
context.device_name = get_processor_name()
context.half_precision = False
log.debug(f"Render device CPU available as {context.device_name}")
log.debug(f"Render device available as {context.device_name}")
return
context.device_name = torch.cuda.get_device_name(device)
@ -134,35 +151,38 @@ def device_init(context, device):
log.info(f'Setting {device} as active, with precision: {"half" if context.half_precision else "full"}')
torch.cuda.device(device)
return
def needs_to_force_full_precision(context):
if "FORCE_FULL_PRECISION" in os.environ:
return True
device_name = context.device_name.lower()
return ("nvidia" in device_name or "geforce" in device_name or "quadro" in device_name) and (
" 1660" in device_name
or " 1650" in device_name
or " t400" in device_name
or " t550" in device_name
or " t600" in device_name
or " t1000" in device_name
or " t1200" in device_name
or " t2000" in device_name
)
return (
("nvidia" in device_name or "geforce" in device_name or "quadro" in device_name)
and (
" 1660" in device_name
or " 1650" in device_name
or " t400" in device_name
or " t550" in device_name
or " t600" in device_name
or " t1000" in device_name
or " t1200" in device_name
or " t2000" in device_name
)
) or ("tesla k40m" in device_name)
def get_max_vram_usage_level(device):
if device != "cpu":
if "cuda" in device:
_, mem_total = torch.cuda.mem_get_info(device)
mem_total /= float(10**9)
else:
return "high"
if mem_total < 4.5:
return "low"
elif mem_total < 6.5:
return "balanced"
mem_total /= float(10**9)
if mem_total < 4.5:
return "low"
elif mem_total < 6.5:
return "balanced"
return "high"
@ -171,7 +191,7 @@ def validate_device_id(device, log_prefix=""):
def is_valid():
if not isinstance(device, str):
return False
if device == "cpu":
if device == "cpu" or device == "mps":
return True
if not device.startswith("cuda:") or not device[5:].isnumeric():
return False
@ -179,7 +199,7 @@ def validate_device_id(device, log_prefix=""):
if not is_valid():
raise EnvironmentError(
f"{log_prefix}: device id should be 'cpu', or 'cuda:N' (where N is an integer index for the GPU). Got: {device}"
f"{log_prefix}: device id should be 'cpu', 'mps', or 'cuda:N' (where N is an integer index for the GPU). Got: {device}"
)
@ -195,7 +215,7 @@ def is_device_compatible(device):
log.error(str(e))
return False
if device == "cpu":
if device in ("cpu", "mps"):
return True
# Memory check
try:
@ -214,14 +234,14 @@ def is_device_compatible(device):
def get_processor_name():
try:
import platform, subprocess
import subprocess
if platform.system() == "Windows":
return platform.processor()
elif platform.system() == "Darwin":
os.environ["PATH"] = os.environ["PATH"] + os.pathsep + "/usr/sbin"
command = "sysctl -n machdep.cpu.brand_string"
return subprocess.check_output(command).strip()
return subprocess.check_output(command, shell=True).decode().strip()
elif platform.system() == "Linux":
command = "cat /proc/cpuinfo"
all_info = subprocess.check_output(command, shell=True).decode().strip()

18
ui/easydiffusion/model_manager.py
View File

@ -1,20 +1,20 @@
import os
from easydiffusion import app, device_manager
from easydiffusion import app
from easydiffusion.types import TaskData
from easydiffusion.utils import log
from sdkit import Context
from sdkit.models import load_model, unload_model, get_model_info_from_db, scan_model
from sdkit.utils import hash_file_quick
from sdkit.models import load_model, unload_model, scan_model
KNOWN_MODEL_TYPES = ["stable-diffusion", "vae", "hypernetwork", "gfpgan", "realesrgan"]
KNOWN_MODEL_TYPES = ["stable-diffusion", "vae", "hypernetwork", "gfpgan", "realesrgan", "lora"]
MODEL_EXTENSIONS = {
"stable-diffusion": [".ckpt", ".safetensors"],
"vae": [".vae.pt", ".ckpt", ".safetensors"],
"hypernetwork": [".pt", ".safetensors"],
"gfpgan": [".pth"],
"realesrgan": [".pth"],
"lora": [".ckpt", ".safetensors"],
}
DEFAULT_MODELS = {
"stable-diffusion": [ # needed to support the legacy installations
@ -24,7 +24,7 @@ DEFAULT_MODELS = {
"gfpgan": ["GFPGANv1.3"],
"realesrgan": ["RealESRGAN_x4plus"],
}
MODELS_TO_LOAD_ON_START = ["stable-diffusion", "vae", "hypernetwork"]
MODELS_TO_LOAD_ON_START = ["stable-diffusion", "vae", "hypernetwork", "lora"]
known_models = {}
@ -102,6 +102,8 @@ def reload_models_if_necessary(context: Context, task_data: TaskData):
"hypernetwork": task_data.use_hypernetwork_model,
"gfpgan": task_data.use_face_correction,
"realesrgan": task_data.use_upscale,
"nsfw_checker": True if task_data.block_nsfw else None,
"lora": task_data.use_lora_model,
}
models_to_reload = {
model_type: path
@ -125,6 +127,7 @@ def resolve_model_paths(task_data: TaskData):
)
task_data.use_vae_model = resolve_model_to_use(task_data.use_vae_model, model_type="vae")
task_data.use_hypernetwork_model = resolve_model_to_use(task_data.use_hypernetwork_model, model_type="hypernetwork")
task_data.use_lora_model = resolve_model_to_use(task_data.use_lora_model, model_type="lora")
if task_data.use_face_correction:
task_data.use_face_correction = resolve_model_to_use(task_data.use_face_correction, "gfpgan")
@ -158,6 +161,8 @@ def make_model_folders():
def is_malicious_model(file_path):
try:
if file_path.endswith(".safetensors"):
return False
scan_result = scan_model(file_path)
if scan_result.issues_count > 0 or scan_result.infected_files > 0:
log.warn(
@ -182,11 +187,13 @@ def getModels():
"stable-diffusion": "sd-v1-4",
"vae": "",
"hypernetwork": "",
"lora": "",
},
"options": {
"stable-diffusion": ["sd-v1-4"],
"vae": [],
"hypernetwork": [],
"lora": [],
},
}
@ -241,6 +248,7 @@ def getModels():
listModels(model_type="vae")
listModels(model_type="hypernetwork")
listModels(model_type="gfpgan")
listModels(model_type="lora")
if models_scanned > 0:
log.info(f"[green]Scanned {models_scanned} models. Nothing infected[/]")

69
ui/easydiffusion/renderer.py
View File

@ -10,7 +10,7 @@ from easydiffusion.utils import get_printable_request, save_images_to_disk, log
from sdkit import Context
from sdkit.generate import generate_images
from sdkit.filter import apply_filters
from sdkit.utils import img_to_buffer, img_to_base64_str, latent_samples_to_images, gc
from sdkit.utils import img_to_buffer, img_to_base64_str, latent_samples_to_images, diffusers_latent_samples_to_images
context = Context() # thread-local
"""
@ -26,6 +26,11 @@ def init(device):
context.temp_images = {}
context.partial_x_samples = None
from easydiffusion import app
app_config = app.getConfig()
context.test_diffusers = app_config.get("test_diffusers", False)
device_manager.device_init(context, device)
@ -55,8 +60,15 @@ def print_task_info(req: GenerateImageRequest, task_data: TaskData):
def make_images_internal(
req: GenerateImageRequest, task_data: TaskData, data_queue: queue.Queue, task_temp_images: list, step_callback
):
images, user_stopped = generate_images_internal(
req, task_data, data_queue, task_temp_images, step_callback, task_data.stream_image_progress
req,
task_data,
data_queue,
task_temp_images,
step_callback,
task_data.stream_image_progress,
task_data.stream_image_progress_interval,
)
filtered_images = filter_images(task_data, images, user_stopped)
@ -77,13 +89,22 @@ def generate_images_internal(
task_temp_images: list,
step_callback,
stream_image_progress: bool,
stream_image_progress_interval: int,
):
context.temp_images.clear()
callback = make_step_callback(req, task_data, data_queue, task_temp_images, step_callback, stream_image_progress)
callback = make_step_callback(
req,
task_data,
data_queue,
task_temp_images,
step_callback,
stream_image_progress,
stream_image_progress_interval,
)
try:
if req.init_image is not None:
if req.init_image is not None and not context.test_diffusers:
req.sampler_name = "ddim"
images = generate_images(context, callback=callback, **req.dict())
@ -92,32 +113,41 @@ def generate_images_internal(
images = []
user_stopped = True
if context.partial_x_samples is not None:
images = latent_samples_to_images(context, context.partial_x_samples)
if context.test_diffusers:
images = diffusers_latent_samples_to_images(context, context.partial_x_samples)
else:
images = latent_samples_to_images(context, context.partial_x_samples)
finally:
if hasattr(context, "partial_x_samples") and context.partial_x_samples is not None:
del context.partial_x_samples
if not context.test_diffusers:
del context.partial_x_samples
context.partial_x_samples = None
return images, user_stopped
def filter_images(task_data: TaskData, images: list, user_stopped):
if user_stopped or (task_data.use_face_correction is None and task_data.use_upscale is None):
if user_stopped:
return images
filters_to_apply = []
if task_data.block_nsfw:
filters_to_apply.append("nsfw_checker")
if task_data.use_face_correction and "gfpgan" in task_data.use_face_correction.lower():
filters_to_apply.append("gfpgan")
if task_data.use_upscale and "realesrgan" in task_data.use_upscale.lower():
filters_to_apply.append("realesrgan")
if len(filters_to_apply) == 0:
return images
return apply_filters(context, filters_to_apply, images, scale=task_data.upscale_amount)
def construct_response(images: list, seeds: list, task_data: TaskData, base_seed: int):
return [
ResponseImage(
data=img_to_base64_str(img, task_data.output_format, task_data.output_quality),
data=img_to_base64_str(img, task_data.output_format, task_data.output_quality, task_data.output_lossless),
seed=seed,
)
for img, seed in zip(images, seeds)
@ -131,13 +161,22 @@ def make_step_callback(
task_temp_images: list,
step_callback,
stream_image_progress: bool,
stream_image_progress_interval: int,
):
n_steps = req.num_inference_steps if req.init_image is None else int(req.num_inference_steps * req.prompt_strength)
last_callback_time = -1
def update_temp_img(x_samples, task_temp_images: list):
partial_images = []
images = latent_samples_to_images(context, x_samples)
if context.test_diffusers:
images = diffusers_latent_samples_to_images(context, x_samples)
else:
images = latent_samples_to_images(context, x_samples)
if task_data.block_nsfw:
images = apply_filters(context, "nsfw_checker", images)
for i, img in enumerate(images):
buf = img_to_buffer(img, output_format="JPEG")
@ -147,17 +186,21 @@ def make_step_callback(
del images
return partial_images
def on_image_step(x_samples, i):
def on_image_step(x_samples, i, *args):
nonlocal last_callback_time
context.partial_x_samples = x_samples
if context.test_diffusers:
context.partial_x_samples = (x_samples, args[0])
else:
context.partial_x_samples = x_samples
step_time = time.time() - last_callback_time if last_callback_time != -1 else -1
last_callback_time = time.time()
progress = {"step": i, "step_time": step_time, "total_steps": n_steps}
if stream_image_progress and i % 5 == 0:
progress["output"] = update_temp_img(x_samples, task_temp_images)
if stream_image_progress and stream_image_progress_interval > 0 and i % stream_image_progress_interval == 0:
progress["output"] = update_temp_img(context.partial_x_samples, task_temp_images)
data_queue.put(json.dumps(progress))

25
ui/easydiffusion/server.py
View File

@ -16,6 +16,8 @@ from easydiffusion import app, model_manager, task_manager
from easydiffusion.types import TaskData, GenerateImageRequest, MergeRequest
from easydiffusion.utils import log
import mimetypes
log.info(f"started in {app.SD_DIR}")
log.info(f"started at {datetime.datetime.now():%x %X}")
@ -25,6 +27,13 @@ NOCACHE_HEADERS = {"Cache-Control": "no-cache, no-store, must-revalidate", "Prag
class NoCacheStaticFiles(StaticFiles):
def __init__(self, directory: str):
# follow_symlink is only available on fastapi >= 0.92.0
if os.path.islink(directory):
super().__init__(directory=os.path.realpath(directory))
else:
super().__init__(directory=directory)
def is_not_modified(self, response_headers, request_headers) -> bool:
if "content-type" in response_headers and (
"javascript" in response_headers["content-type"] or "css" in response_headers["content-type"]
@ -42,9 +51,20 @@ class SetAppConfigRequest(BaseModel):
ui_open_browser_on_start: bool = None
listen_to_network: bool = None
listen_port: int = None
test_diffusers: bool = False
def init():
mimetypes.init()
mimetypes.add_type("text/css", ".css")
if os.path.isdir(app.CUSTOM_MODIFIERS_DIR):
server_api.mount(
"/media/modifier-thumbnails/custom",
NoCacheStaticFiles(directory=app.CUSTOM_MODIFIERS_DIR),
name="custom-thumbnails",
)
server_api.mount("/media", NoCacheStaticFiles(directory=os.path.join(app.SD_UI_DIR, "media")), name="media")
for plugins_dir, dir_prefix in app.UI_PLUGINS_SOURCES:
@ -113,6 +133,9 @@ def set_app_config_internal(req: SetAppConfigRequest):
if "net" not in config:
config["net"] = {}
config["net"]["listen_port"] = int(req.listen_port)
config["test_diffusers"] = req.test_diffusers
try:
app.setConfig(config)
@ -156,7 +179,7 @@ def read_web_data_internal(key: str = None):
elif key == "models":
return JSONResponse(model_manager.getModels(), headers=NOCACHE_HEADERS)
elif key == "modifiers":
return FileResponse(os.path.join(app.SD_UI_DIR, "modifiers.json"), headers=NOCACHE_HEADERS)
return JSONResponse(app.get_image_modifiers(), headers=NOCACHE_HEADERS)
elif key == "ui_plugins":
return JSONResponse(app.getUIPlugins(), headers=NOCACHE_HEADERS)
else:

9
ui/easydiffusion/task_manager.py
View File

@ -385,7 +385,7 @@ def get_devices():
}
def get_device_info(device):
if device == "cpu":
if device in ("cpu", "mps"):
return {"name": device_manager.get_processor_name()}
mem_free, mem_total = torch.cuda.mem_get_info(device)
@ -400,14 +400,17 @@ def get_devices():
}
# list the compatible devices
gpu_count = torch.cuda.device_count()
for device in range(gpu_count):
cuda_count = torch.cuda.device_count()
for device in range(cuda_count):
device = f"cuda:{device}"
if not device_manager.is_device_compatible(device):
continue
devices["all"].update({device: get_device_info(device)})
if device_manager.is_mps_available():
devices["all"].update({"mps": get_device_info("mps")})
devices["all"].update({"cpu": get_device_info("cpu")})
# list the activated devices

7
ui/easydiffusion/types.py
View File

@ -21,6 +21,7 @@ class GenerateImageRequest(BaseModel):
sampler_name: str = None # "ddim", "plms", "heun", "euler", "euler_a", "dpm2", "dpm2_a", "lms"
hypernetwork_strength: float = 0
lora_alpha: float = 0
class TaskData(BaseModel):
@ -36,12 +37,16 @@ class TaskData(BaseModel):
# use_stable_diffusion_config: str = "v1-inference"
use_vae_model: str = None
use_hypernetwork_model: str = None
use_lora_model: str = None
show_only_filtered_image: bool = False
output_format: str = "jpeg" # or "png"
block_nsfw: bool = False
output_format: str = "jpeg" # or "png" or "webp"
output_quality: int = 75
output_lossless: bool = False
metadata_output_format: str = "txt" # or "json"
stream_image_progress: bool = False
stream_image_progress_interval: int = 5
class MergeRequest(BaseModel):

20
ui/easydiffusion/utils/save_utils.py
View File

@ -1,11 +1,11 @@
import os
import time
import base64
import re
from easydiffusion.types import TaskData, GenerateImageRequest
from sdkit.utils import save_images, save_dicts
from numpy import base_repr
filename_regex = re.compile("[^a-zA-Z0-9._-]")
@ -27,6 +27,8 @@ TASK_TEXT_MAPPING = {
"use_vae_model": "VAE model",
"use_hypernetwork_model": "Hypernetwork model",
"hypernetwork_strength": "Hypernetwork Strength",
"use_lora_model": "LoRA model",
# "lora_alpha": "LoRA Strength",
}
@ -43,6 +45,7 @@ def save_images_to_disk(images: list, filtered_images: list, req: GenerateImageR
file_name=make_filename,
output_format=task_data.output_format,
output_quality=task_data.output_quality,
output_lossless=task_data.output_lossless,
)
if task_data.metadata_output_format.lower() in ["json", "txt", "embed"]:
save_dicts(
@ -61,6 +64,7 @@ def save_images_to_disk(images: list, filtered_images: list, req: GenerateImageR
file_name=make_filename,
output_format=task_data.output_format,
output_quality=task_data.output_quality,
output_lossless=task_data.output_lossless,
)
save_images(
filtered_images,
@ -68,6 +72,7 @@ def save_images_to_disk(images: list, filtered_images: list, req: GenerateImageR
file_name=make_filter_filename,
output_format=task_data.output_format,
output_quality=task_data.output_quality,
output_lossless=task_data.output_lossless,
)
if task_data.metadata_output_format.lower() in ["json", "txt", "embed"]:
save_dicts(
@ -86,6 +91,7 @@ def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskD
"use_stable_diffusion_model": task_data.use_stable_diffusion_model,
"use_vae_model": task_data.use_vae_model,
"use_hypernetwork_model": task_data.use_hypernetwork_model,
"use_lora_model": task_data.use_lora_model,
"use_face_correction": task_data.use_face_correction,
"use_upscale": task_data.use_upscale,
}
@ -94,6 +100,15 @@ def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskD
metadata["upscale_amount"] = task_data.upscale_amount
if task_data.use_hypernetwork_model is None:
del metadata["hypernetwork_strength"]
if task_data.use_lora_model is None:
if "lora_alpha" in metadata:
del metadata["lora_alpha"]
from easydiffusion import app
app_config = app.getConfig()
if not app_config.get("test_diffusers", False) and "use_lora_model" in metadata:
del metadata["use_lora_model"]
# if text, format it in the text format expected by the UI
is_txt_format = task_data.metadata_output_format.lower() == "txt"
@ -121,8 +136,7 @@ def make_filename_callback(req: GenerateImageRequest, suffix=None, now=None):
now = time.time()
def make_filename(i):
img_id = base64.b64encode(int(now + i).to_bytes(8, "big")).decode() # Generate unique ID based on time.
img_id = img_id.translate({43: None, 47: None, 61: None})[-8:] # Remove + / = and keep last 8 chars.
img_id = base_repr(int(now * 10000), 36)[-7:] + base_repr(int(i),36) # Base 36 conversion, 0-9, A-Z
prompt_flattened = filename_regex.sub("_", req.prompt)[:50]
name = f"{prompt_flattened}_{img_id}"

113
ui/index.html
View File

@ -15,9 +15,12 @@
<link rel="stylesheet" href="/media/css/fontawesome-all.min.css">
<link rel="stylesheet" href="/media/css/image-editor.css">
<link rel="stylesheet" href="/media/css/searchable-models.css">
<link rel="stylesheet" href="/media/css/image-modal.css">
<link rel="manifest" href="/media/manifest.webmanifest">
<script src="/media/js/jquery-3.6.1.min.js"></script>
<script src="/media/js/jquery-confirm.min.js"></script>
<script src="/media/js/jszip.min.js"></script>
<script src="/media/js/FileSaver.min.js"></script>
<script src="/media/js/marked.min.js"></script>
</head>
<body>
@ -25,8 +28,9 @@
<div id="top-nav">
<div id="logo">
<h1>
<img id="logo_img" src="/media/images/icon-512x512.png" >
Easy Diffusion
<small>v2.5.20 <span id="updateBranchLabel"></span></small>
<small>v2.5.30 <span id="updateBranchLabel"></span></small>
</h1>
</div>
<div id="server-status">
@ -51,7 +55,7 @@
<div id="editor">
<div id="editor-inputs">
<div id="editor-inputs-prompt" class="row">
<label for="prompt"><b>Enter Prompt</b></label> <small>or</small> <button id="promptsFromFileBtn">Load from a file</button>
<label for="prompt"><b>Enter Prompt</b></label> <small>or</small> <button id="promptsFromFileBtn" class="tertiaryButton">Load from a file</button>
<textarea id="prompt" class="col-free">a photograph of an astronaut riding a horse</textarea>
<input id="prompt_from_file" name="prompt_from_file" type="file" /> <!-- hidden -->
<label for="negative_prompt" class="collapsible" id="negative_prompt_handle">
@ -70,7 +74,7 @@
<div id="init_image_preview_container" class="image_preview_container">
<div id="init_image_wrapper">
<img id="init_image_preview" src="" />
<span id="init_image_size_box"></span>
<span id="init_image_size_box" class="img_bottom_label"></span>
<button class="init_image_clear image_clear_btn"><i class="fa-solid fa-xmark"></i></button>
</div>
<div id="init_image_buttons">
@ -98,7 +102,7 @@
</div>
<div id="editor-inputs-tags-container" class="row">
<label>Image Modifiers <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip right">click an Image Modifier to remove it, right-click to temporarily disable it, use Ctrl+Mouse Wheel to adjust its weight</span></i>:</label>
<label>Image Modifiers <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip right">click an Image Modifier to remove it, right-click to temporarily disable it, use Ctrl+Mouse Wheel to adjust its weight</span></i></label>
<div id="editor-inputs-tags-list"></div>
</div>
@ -150,15 +154,15 @@
<option value="dpm2_a">DPM2 Ancestral</option>
<option value="lms">LMS</option>
<option value="dpm_solver_stability">DPM Solver (Stability AI)</option>
<option value="dpmpp_2s_a">DPM++ 2s Ancestral</option>
<option value="dpmpp_2m">DPM++ 2m</option>
<option value="dpmpp_sde">DPM++ SDE</option>
<option value="dpm_fast">DPM Fast</option>
<option value="dpm_adaptive">DPM Adaptive</option>
<option value="dpmpp_2s_a">DPM++ 2s Ancestral (Karras)</option>
<option value="dpmpp_2m">DPM++ 2m (Karras)</option>
<option value="dpmpp_sde">DPM++ SDE (Karras)</option>
<option value="dpm_fast">DPM Fast (Karras)</option>
<option value="dpm_adaptive">DPM Adaptive (Karras)</option>
<option value="unipc_snr">UniPC SNR</option>
<option value="unipc_tu">UniPC TU</option>
<option value="unipc_snr_2">UniPC SNR 2</option>
<option value="unipc_tu_2">UniPC TC 2</option>
<option value="unipc_tu_2">UniPC TU 2</option>
<option value="unipc_tq">UniPC TQ</option>
</select>
<a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/How-to-Use#samplers" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about samplers</span></i></a>
@ -208,10 +212,18 @@
<option value="2048">2048</option>
</select>
<label for="height"><small>(height)</small></label>
<div id="small_image_warning" class="displayNone">Small image sizes can cause bad image quality</div>
</td></tr>
<tr class="pl-5"><td><label for="num_inference_steps">Inference Steps:</label></td><td> <input id="num_inference_steps" name="num_inference_steps" size="4" value="25" onkeypress="preventNonNumericalInput(event)"></td></tr>
<tr class="pl-5"><td><label for="guidance_scale_slider">Guidance Scale:</label></td><td> <input id="guidance_scale_slider" name="guidance_scale_slider" class="editor-slider" value="75" type="range" min="11" max="500"> <input id="guidance_scale" name="guidance_scale" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"></td></tr>
<tr id="prompt_strength_container" class="pl-5"><td><label for="prompt_strength_slider">Prompt Strength:</label></td><td> <input id="prompt_strength_slider" name="prompt_strength_slider" class="editor-slider" value="80" type="range" min="0" max="99"> <input id="prompt_strength" name="prompt_strength" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"><br/></td></tr>
<tr id="lora_model_container" class="pl-5"><td><label for="lora_model">LoRA:</i></label></td><td>
<input id="lora_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
</td></tr>
<tr id="lora_alpha_container" class="pl-5">
<td><label for="lora_alpha_slider">LoRA strength:</label></td>
<td> <input id="lora_alpha_slider" name="lora_alpha_slider" class="editor-slider" value="100" type="range" min="0" max="100"> <input id="lora_alpha" name="lora_alpha" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"><br/></td>
</tr>
<tr class="pl-5"><td><label for="hypernetwork_model">Hypernetwork:</i></label></td><td>
<input id="hypernetwork_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
</td></tr>
@ -223,9 +235,13 @@
<select id="output_format" name="output_format">
<option value="jpeg" selected>jpeg</option>
<option value="png">png</option>
<option value="webp">webp</option>
</select>
<span id="output_lossless_container">
<input id="output_lossless" name="output_lossless" type="checkbox"><label for="output_lossless">Lossless</label></td></tr>
</span>
</td></tr>
<tr class="pl-5" id="output_quality_row"><td><label for="output_quality">JPEG Quality:</label></td><td>
<tr class="pl-5" id="output_quality_row"><td><label for="output_quality">Image Quality:</label></td><td>
<input id="output_quality_slider" name="output_quality" class="editor-slider" value="75" type="range" min="10" max="95"> <input id="output_quality" name="output_quality" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)">
</td></tr>
</table></div>
@ -276,19 +292,46 @@
</div>
<div id="preview" class="col-free">
<div id="preview-content">
<div id="preview-tools" class="displayNone">
<button id="clear-all-previews" class="secondaryButton"><i class="fa-solid fa-trash-can icon"></i> Clear All</button>
<button class="tertiaryButton" id="show-download-popup"><i class="fa-solid fa-download"></i> Download images</button>
<div class="display-settings">
<button id="undo" class="displayNone primaryButton">
Undo <i class="fa-solid fa-rotate-left icon"></i>
<span class="simple-tooltip left">Undo last remove</span>
</button>
<span class="auto-scroll"></span> <!-- hack for Rabbit Hole update -->
<button id="auto_scroll_btn" class="tertiaryButton">
<i class="fa-solid fa-arrows-up-to-line icon"></i>
<input id="auto_scroll" name="auto_scroll" type="checkbox" style="display: none">
<span class="simple-tooltip left">
Scroll to generated image (<span class="state">OFF</span>)
</span>
</button>
<button class="dropdown tertiaryButton">
<i class="fa-solid fa-magnifying-glass-plus icon dropbtn"></i>
<span class="simple-tooltip left">
Image Size
</span>
</button>
<div class="dropdown-content">
<div class="dropdown-item">
<input id="thumbnail_size" name="thumbnail_size" class="editor-slider" type="range" value="70" min="5" max="200" oninput="sliderUpdate(event)">
<input id="thumbnail_size-input" name="thumbnail_size-input" size="3" value="70" pattern="^[0-9.]+$" onkeypress="preventNonNumericalInput(event)" oninput="sliderUpdate(event)">&nbsp;%
</div>
</div>
</div>
<div class="clearfix" style="clear: both;"></div>
</div>
</div>
<div id="initial-text">
Type a prompt and press the "Make Image" button.<br/><br/>You can set an "Initial Image" if you want to guide the AI.<br/><br/>
You can also add modifiers like "Realistic", "Pencil Sketch", "ArtStation" etc by browsing through the "Image Modifiers" section
and selecting the desired modifiers.<br/><br/>
Click "Image Settings" for additional settings like seed, image size, number of images to generate etc.<br/><br/>Enjoy! :)
</div>
<div id="preview-content">
<div id="preview-tools">
<button id="clear-all-previews" class="secondaryButton"><i class="fa-solid fa-trash-can"></i> Clear All</button>
<button id="save-all-images" class="primaryButton"><i class="fa-solid fa-download"></i> Download All Images</button>
</div>
</div>
</div>
</div>
@ -357,6 +400,31 @@
</div>
<div class="popup" id="download-images-popup">
<div>
<i class="close-button fa-solid fa-xmark"></i>
<h1>Download all images</h1>
<div class="parameters-table">
<div>
<div><i class="fa fa-file-zipper"></i></div>
<div><label for="theme">Download as a ZIP file</label><small>Instead of downloading individual files, generate one zip file with all images</small></div>
<div><div class="input-toggle"><input id="zip_toggle" name="zip_toggle" checked="" type="checkbox"><label for="zip_toggle"></label></div></div>
</div>
<div id="download-add-folders">
<div><i class="fa fa-folder-tree"></i></div>
<div><label for="theme">Add per-job folders</label><small>Place images into job folders</small></div>
<div><div class="input-toggle"><input id="tree_toggle" name="tree_toggle" checked="" type="checkbox"><label for="tree_toggle"></label></div></div>
</div>
<div>
<div><i class="fa fa-sliders"></i></div>
<div><label for="theme">Add metadata files</label><small>For each image, also download a JSON file with all the settings used to generate the image</small></div>
<div><div class="input-toggle"><input id="json_toggle" name="json_toggle" checked="" type="checkbox"><label for="json_toggle"></label></div></div>
</div>
</div>
<br/>
<button id="save-all-images" class="primaryButton"><i class="fa-solid fa-images"></i> Start download</button>
</div>
</div>
<div id="save-settings-config" class="popup">
<div>
<i class="close-button fa-solid fa-xmark"></i>
@ -367,12 +435,12 @@
</div>
</div>
<div id="modifier-settings-config" class="popup">
<div id="modifier-settings-config" class="popup" tabindex="0">
<div>
<i class="close-button fa-solid fa-xmark"></i>
<h1>Modifier Settings</h1>
<p>Set your custom modifiers (one per line)</p>
<textarea id="custom-modifiers-input" placeholder="Enter your custom modifiers, one-per-line"></textarea>
<textarea id="custom-modifiers-input" placeholder="Enter your custom modifiers, one-per-line" spellcheck="false"></textarea>
<p><small><b>Tip:</b> You can include special characters like {} () [] and |. You can also put multiple comma-separated phrases in a single line, to make a single modifier that combines all of those.</small></p>
</div>
</div>
@ -435,6 +503,7 @@
<script src="media/js/themes.js"></script>
<script src="media/js/dnd.js"></script>
<script src="media/js/image-editor.js"></script>
<script src="media/js/image-modal.js"></script>
<script>
async function init() {
await initSettings()
@ -446,8 +515,8 @@ async function init() {
SD.init({
events: {
statusChange: setServerStatus
, idle: onIdle
statusChange: setServerStatus,
idle: onIdle
}
})

20
ui/media/css/image-editor.css
View File

@ -31,7 +31,7 @@
}
.editor-options-container > * > *.active {
border: 2px solid #3584e4;
border: 1px solid #3584e4;
}
.image_editor_opacity .editor-options-container > * > *:not(.active) {
@ -149,16 +149,21 @@
pointer-events: none;
}
.image-editor-popup {
--popup-margin: 16px;
--popup-padding: 24px;
}
@media screen and (min-width: 700px) {
.image-editor-popup {
overflow-y: auto;
}
}
.image-editor-popup > div {
margin: var(--popup-margin);
padding: var(--popup-padding);
min-height: calc(100vh - (2 * var(--popup-margin)));
min-height: calc(99h - (2 * var(--popup-margin)));
max-width: none;
min-width: fit-content;
}
@ -186,7 +191,7 @@
.image-editor-popup > div > div {
min-height: calc(100vh - (2 * var(--popup-margin)) - (2 * var(--popup-padding)));
min-height: calc(99vh - (2 * var(--popup-margin)) - (2 * var(--popup-padding)));
}
.inpainter .image_editor_color {
@ -214,3 +219,10 @@
.image-editor-popup h4 {
text-align: left;
}
.image-editor-popup .load_mask {
display: none;
}
.inpainter .load_mask {
display: flex;
}

88
ui/media/css/image-modal.css Normal file
View File

@ -0,0 +1,88 @@
#viewFullSizeImgModal {
--popup-padding: 24px;
position: sticky;
padding: var(--popup-padding);
pointer-events: none;
width: 100vw;
height: 100vh;
box-sizing: border-box;
display: flex;
justify-content: center;
align-items: center;
overflow: hidden;
z-index: 1001;
}
#viewFullSizeImgModal:not(.active) {
display: none;
}
#viewFullSizeImgModal > * {
pointer-events: auto;
margin: 0;
padding: 0;
box-sizing: border-box;
}
#viewFullSizeImgModal .backdrop {
max-width: unset;
width: 100%;
max-height: unset;
height: 100%;
inset: 0;
position: absolute;
top: 0;
left: 0;
z-index: 1001;
opacity: .5;
border: none;
box-shadow: none;
overflow: hidden;
}
#viewFullSizeImgModal .content {
min-height: initial;
max-height: calc(100vh - (var(--popup-padding) * 2));
height: fit-content;
min-width: initial;
max-width: calc(100vw - (var(--popup-padding) * 2));
width: fit-content;
z-index: 1003;
overflow: visible;
}
#viewFullSizeImgModal .image-wrapper {
min-height: initial;
max-height: calc(100vh - (var(--popup-padding) * 2));
height: fit-content;
min-width: initial;
max-width: calc(100vw - (var(--popup-padding) * 2));
width: fit-content;
box-sizing: border-box;
pointer-events: auto;
margin: 0;
padding: 0;
overflow: auto;
}
#viewFullSizeImgModal img.natural-zoom {
max-width: calc(100vh - (var(--popup-padding) * 2) - 4px);
max-height: calc(100vh - (var(--popup-padding) * 2) - 4px);
}
#viewFullSizeImgModal .content > div::-webkit-scrollbar-track, #viewFullSizeImgModal .content > div::-webkit-scrollbar-corner {
background: rgba(0, 0, 0, .5)
}
#viewFullSizeImgModal .menu-bar {
position: absolute;
top: 0;
right: 0;
padding-right: var(--scrollbar-width);
}
#viewFullSizeImgModal .menu-bar .tertiaryButton {
font-size: 1.2em;
margin: 12px 12px 0 0;
cursor: pointer;
}

145
ui/media/css/main.css
View File

@ -27,6 +27,11 @@ code {
padding: 2px 4px;
border-radius: 4px;
}
#logo_img {
width: 32px;
height: 32px;
transform: translateY(4px);
}
#prompt {
width: 100%;
height: 65pt;
@ -93,11 +98,23 @@ code {
#footer-spacer {
flex: 0.7
}
.imgSeedLabel {
.imgInfoLabel {
font-size: 0.8em;
background-color: var(--background-color2);
border-radius: 3px;
}
.imgSeedLabel {
padding: 5px;
border-radius: 0px 3px 3px 0px;
}
.imgExpandBtn {
border-radius: 3px 0px 0px 3px;
border-right: 1px solid var(--tertiary-border-color);
padding: 5px 5px 5px;
padding-left: 7px;
cursor: pointer;
}
.imgExpandBtn:hover {
background-color: var(--accent-color);
}
.imgItem {
display: inline-block;
@ -123,6 +140,9 @@ code {
.imgPreviewItemClearBtn {
opacity: 0;
}
.imgContainer .img_bottom_label {
opacity: 0;
}
.imgPreviewItemClearBtn:hover {
background: rgb(177, 27, 0);
}
@ -132,9 +152,15 @@ code {
.imgContainer:hover > .imgPreviewItemClearBtn {
opacity: 1;
}
.imgItemInfo * {
.imgContainer:hover > .img_bottom_label {
opacity: 60%;
}
.imgItemInfo > * {
margin-bottom: 7px;
}
.imgItemInfo .tasksBtns {
margin-left: 5pt;
}
.imgItem .image_clear_btn {
transform: translate(40%, -50%);
}
@ -193,7 +219,7 @@ code {
flex: 0 0 70px;
background: var(--accent-color);
border: var(--primary-button-border);
color: rgb(255, 221, 255);
color: var(--accent-text-color);
width: 100%;
height: 30pt;
}
@ -269,6 +295,7 @@ div.img-preview img {
width:100%;
height: 100%;
max-height: 70vh;
cursor: pointer;
}
.line-separator {
background: var(--background-color3);
@ -282,8 +309,7 @@ div.img-preview img {
#server-status {
position: absolute;
right: 16px;
top: 50%;
transform: translateY(-50%);
top: 4px;
text-align: right;
}
#server-status-color {
@ -309,6 +335,7 @@ div.img-preview img {
position: relative;
background: var(--background-color4);
display: flex;
padding: 12px 0 0;
}
.tab .icon {
padding-right: 4pt;
@ -317,7 +344,7 @@ div.img-preview img {
}
#logo {
display: inline;
padding: 12px;
padding: 0 12px 12px;
white-space: nowrap;
}
#logo h1 {
@ -402,17 +429,44 @@ div.img-preview img {
display: none;
position: absolute;
z-index: 2;
background: var(--background-color4);
border: 2px solid var(--background-color2);
border-radius: 7px;
padding: 5px;
padding: 0px;
margin-bottom: 15px;
box-shadow: 0 20px 28px 0 rgba(0, 0, 0, 0.15), 0 6px 20px 0 rgba(0, 0, 0, 0.15);
box-shadow: 0 20px 28px 0 rgba(0, 0, 0, 0.75), 0 6px 20px 0 rgba(0, 0, 0, 0.75);
}
.dropdown:hover .dropdown-content {
display: block;
}
.dropdown:hover + .dropdown-content {
display: block;
}
.dropdown-content:hover {
display: block;
}
.display-settings {
float: right;
position: relative;
}
.display-settings .dropdown-content {
right: 0px;
top: 12pt;
}
.dropdown-item {
padding: 4px;
background: var(--background-color1);
border: 2px solid var(--background-color4);
}
.dropdown-item:first-child {
border-radius: 7px 7px 0px 0px;
}
.dropdown-item:last-child {
border-radius: 0px 0px 7px 7px;
}
.imageTaskContainer {
border: 1px solid var(--background-color2);
@ -480,24 +534,38 @@ div.img-preview img {
.secondaryButton:hover {
background: rgb(177, 27, 0);
}
.useSettings {
background: var(--accent-color);
border: 1px solid var(--accent-color);
color: rgb(255, 221, 255);
.tertiaryButton {
background: var(--tertiary-background-color);
color: var(--tertiary-color);
border: 1px solid var(--tertiary-border-color);
padding: 3pt 6pt;
border-radius: 5px;
}
.tertiaryButton:hover {
background: hsl(var(--accent-hue), 100%, calc(var(--accent-lightness) + 6%));
color: var(--accent-text-color);
}
.tertiaryButton.pressed {
border-style: inset;
background: hsl(var(--accent-hue), 100%, calc(var(--accent-lightness) + 6%));
color: var(--accent-text-color);
}
.useSettings {
margin-right: 6pt;
float: right;
}
.useSettings:hover {
background: hsl(var(--accent-hue), 100%, calc(var(--accent-lightness) + 6%));
}
.stopTask {
float: right;
}
#preview-tools {
display: none;
padding: 4pt;
}
#preview-tools .display-settings .dropdown-content {
right: -6px;
top: 20px;
box-shadow: none;
width: max-content;
}
.taskConfig {
font-size: 10pt;
color: #aaa;
@ -578,6 +646,9 @@ div.img-preview img {
} */
#init_image_size_box {
border-radius: 6px 0px;
}
.img_bottom_label {
position: absolute;
right: 0px;
bottom: 0px;
@ -587,7 +658,6 @@ div.img-preview img {
text-shadow: 0px 0px 4px black;
opacity: 60%;
font-size: 12px;
border-radius: 6px 0px;
}
#editor-settings {
@ -604,7 +674,6 @@ div.img-preview img {
}
#editor-settings-entries ul {
margin: 0px;
padding: 0px;
}
@ -752,7 +821,7 @@ input::file-selector-button {
opacity: 1;
}
.model-filter {
width: calc(100% - 20px);
width: 90%;
padding-right: 20px;
white-space: nowrap;
overflow: hidden;
@ -760,7 +829,7 @@ input::file-selector-button {
}
/* Small screens */
@media screen and (max-width: 1265px) {
@media screen and (max-width: 1365px) {
#top-nav {
flex-direction: column;
}
@ -795,12 +864,6 @@ input::file-selector-button {
width: 100%;
object-fit: contain;
}
.dropdown-content {
width: auto !important;
transform: none !important;
left: 0px;
right: 0px;
}
#editor {
padding: 16px 8px;
}
@ -816,9 +879,6 @@ input::file-selector-button {
.tab .icon {
padding-right: 0px;
}
#server-status {
top: 75%;
}
.popup > div {
padding-left: 5px !important;
padding-right: 5px !important;
@ -833,6 +893,12 @@ input::file-selector-button {
.simple-tooltip {
display: none;
}
#preview-tools button {
font-size: 0px;
}
#preview-tools button .icon {
font-size: 12pt;
}
}
@media screen and (max-width: 500px) {
@ -865,7 +931,7 @@ input::file-selector-button {
#promptsFromFileBtn {
font-size: 9pt;
display: inline;
background-color: var(--accent-color);
padding: 2pt;
}
.section-button {
@ -1055,6 +1121,8 @@ input::file-selector-button {
.tab-container {
display: flex;
align-items: flex-end;
overflow-x: auto;
overflow-y: hidden;
}
.tab {
@ -1149,6 +1217,11 @@ div.top-right {
right: 8px;
}
#small_image_warning {
font-size: smaller;
color: var(--status-orange);
}
button#save-system-settings-btn {
padding: 4pt 8pt;
}
@ -1159,6 +1232,10 @@ button#save-system-settings-btn {
line-height: 200%;
}
#download-images-popup .parameters-table > div {
background: var(--background-color1);
}
/* SCROLLBARS */
:root {
--scrollbar-width: 14px;

14
ui/media/css/searchable-models.css
View File

@ -16,11 +16,16 @@
.model-list ul {
padding-right: 20px;
padding-inline-start: 0;
padding-bottom: 0px;
margin-top: 3pt;
}
.model-list li {
padding-bottom: 0px;
padding-top: 3px;
padding-bottom: 3px;
}
.model-list .icon {
padding-right: 3pt;
}
.model-result {
@ -31,7 +36,7 @@
color: var(--text-color);
list-style: none;
padding: 3px 6px 3px 6px;
font-size: 10pt;
font-size: 9pt;
font-style: italic;
display: none;
}
@ -42,6 +47,7 @@
padding: 6px 6px 6px 6px;
font-size: 9pt;
font-weight: bold;
border-top: 1px solid var(--background-color1);
}
.model-list li.model-file {
@ -49,7 +55,7 @@
list-style: none;
padding-left: 12px;
padding-right:20px;
font-size: 9pt;
font-size: 10pt;
font-weight: normal;
transition: none;
transition:property: none;

26
ui/media/css/themes.css
View File

@ -27,12 +27,19 @@
--input-border-size: 1px;
--accent-color: hsl(var(--accent-hue), 100%, var(--accent-lightness));
--accent-color-hover: hsl(var(--accent-hue), 100%, var(--accent-lightness-hover));
--accent-text-color: rgb(255, 221, 255);
--primary-button-border: none;
--input-switch-padding: 1px;
--input-height: 18px;
--tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (2 * var(--value-step))));
--tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (3 * var(--value-step))));
--tertiary-color: var(--input-text-color)
/* Main theme color, hex color fallback. */
--theme-color-fallback: #673AB6;
--status-orange: rgb(200, 139, 0);
--status-green: green;
--status-red: red;
}
.theme-light {
@ -48,6 +55,11 @@
--input-border-color: grey;
--theme-color-fallback: #aaaaaa;
--tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (16.8 * var(--value-step))));
--tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (12 * var(--value-step))));
--accent-text-color: white;
}
.theme-discord {
@ -64,6 +76,10 @@
--input-border-color: var(--input-background-color);
--theme-color-fallback: #202225;
--tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (3.5 * var(--value-step))));
--tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (4.5 * var(--value-step))));
--accent-text-color: white;
}
.theme-cool-blue {
@ -81,6 +97,10 @@
--accent-hue: 212;
--theme-color-fallback: #0056b8;
--tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (3.5 * var(--value-step))));
--tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (4.5 * var(--value-step))));
--accent-text-color: #f7fbff;
}
@ -97,6 +117,9 @@
--input-background-color: var(--background-color3);
--theme-color-fallback: #5300b8;
--tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (3.5 * var(--value-step))));
--tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (4.5 * var(--value-step))));
}
.theme-super-dark {
@ -131,6 +154,9 @@
--input-background-color: hsl(222, var(--main-saturation), calc(var(--value-base) - (2 * var(--value-step))));
--input-text-color: #FF0000;
--input-border-color: #005E05;
--tertiary-color: white;
--accent-text-color: #f7fbff;
}

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2
ui/media/js/FileSaver.min.js vendored Normal file
View File

@ -0,0 +1,2 @@
(function(a,b){if("function"==typeof define&&define.amd)define([],b);else if("undefined"!=typeof exports)b();else{b(),a.FileSaver={exports:{}}.exports}})(this,function(){"use strict";function b(a,b){return"undefined"==typeof b?b={autoBom:!1}:"object"!=typeof b&&(console.warn("Deprecated: Expected third argument to be a object"),b={autoBom:!b}),b.autoBom&&/^\s*(?:text\/\S*|application\/xml|\S*\/\S*\+xml)\s*;.*charset\s*=\s*utf-8/i.test(a.type)?new Blob(["\uFEFF",a],{type:a.type}):a}function c(a,b,c){var d=new XMLHttpRequest;d.open("GET",a),d.responseType="blob",d.onload=function(){g(d.response,b,c)},d.onerror=function(){console.error("could not download file")},d.send()}function d(a){var b=new XMLHttpRequest;b.open("HEAD",a,!1);try{b.send()}catch(a){}return 200<=b.status&&299>=b.status}function e(a){try{a.dispatchEvent(new MouseEvent("click"))}catch(c){var b=document.createEvent("MouseEvents");b.initMouseEvent("click",!0,!0,window,0,0,0,80,20,!1,!1,!1,!1,0,null),a.dispatchEvent(b)}}var f="object"==typeof window&&window.window===window?window:"object"==typeof self&&self.self===self?self:"object"==typeof global&&global.global===global?global:void 0,a=/Macintosh/.test(navigator.userAgent)&&/AppleWebKit/.test(navigator.userAgent)&&!/Safari/.test(navigator.userAgent),g=f.saveAs||("object"!=typeof window||window!==f?function(){}:"download"in HTMLAnchorElement.prototype&&!a?function(b,g,h){var i=f.URL||f.webkitURL,j=document.createElement("a");g=g||b.name||"download",j.download=g,j.rel="noopener","string"==typeof b?(j.href=b,j.origin===location.origin?e(j):d(j.href)?c(b,g,h):e(j,j.target="_blank")):(j.href=i.createObjectURL(b),setTimeout(function(){i.revokeObjectURL(j.href)},4E4),setTimeout(function(){e(j)},0))}:"msSaveOrOpenBlob"in navigator?function(f,g,h){if(g=g||f.name||"download","string"!=typeof f)navigator.msSaveOrOpenBlob(b(f,h),g);else if(d(f))c(f,g,h);else{var i=document.createElement("a");i.href=f,i.target="_blank",setTimeout(function(){e(i)})}}:function(b,d,e,g){if(g=g||open("","_blank"),g&&(g.document.title=g.document.body.innerText="downloading..."),"string"==typeof b)return c(b,d,e);var h="application/octet-stream"===b.type,i=/constructor/i.test(f.HTMLElement)||f.safari,j=/CriOS\/[\d]+/.test(navigator.userAgent);if((j||h&&i||a)&&"undefined"!=typeof FileReader){var k=new FileReader;k.onloadend=function(){var a=k.result;a=j?a:a.replace(/^data:[^;]*;/,"data:attachment/file;"),g?g.location.href=a:location=a,g=null},k.readAsDataURL(b)}else{var l=f.URL||f.webkitURL,m=l.createObjectURL(b);g?g.location=m:location.href=m,g=null,setTimeout(function(){l.revokeObjectURL(m)},4E4)}});f.saveAs=g.saveAs=g,"undefined"!=typeof module&&(module.exports=g)});

11
ui/media/js/auto-save.js
View File

@ -15,6 +15,7 @@ const SETTINGS_IDS_LIST = [
"stable_diffusion_model",
"vae_model",
"hypernetwork_model",
"lora_model",
"sampler_name",
"width",
"height",
@ -22,14 +23,17 @@ const SETTINGS_IDS_LIST = [
"guidance_scale",
"prompt_strength",
"hypernetwork_strength",
"lora_alpha",
"output_format",
"output_quality",
"output_lossless",
"negative_prompt",
"stream_image_progress",
"use_face_correction",
"gfpgan_model",
"use_upscale",
"upscale_amount",
"block_nsfw",
"show_only_filtered_image",
"upscale_model",
"preview-image",
@ -43,7 +47,12 @@ const SETTINGS_IDS_LIST = [
"metadata_output_format",
"auto_save_settings",
"apply_color_correction",
"process_order_toggle"
"process_order_toggle",
"thumbnail_size",
"auto_scroll",
"zip_toggle",
"tree_toggle",
"json_toggle"
]
const IGNORE_BY_DEFAULT = [

21
ui/media/js/dnd.js
View File

@ -2,7 +2,7 @@
const EXT_REGEX = /(?:\.([^.]+))?$/
const TEXT_EXTENSIONS = ['txt', 'json']
const IMAGE_EXTENSIONS = ['jpg', 'jpeg', 'png', 'bmp', 'tiff', 'tif', 'tga']
const IMAGE_EXTENSIONS = ['jpg', 'jpeg', 'png', 'bmp', 'tiff', 'tif', 'tga', 'webp']
function parseBoolean(stringValue) {
if (typeof stringValue === 'boolean') {
@ -97,6 +97,7 @@ const TASK_MAPPING = {
return
}
randomSeedField.checked = false
randomSeedField.dispatchEvent(new Event('change')) // let plugins know that the state of the random seed toggle changed
seedField.disabled = false
seedField.value = seed
},
@ -230,6 +231,20 @@ const TASK_MAPPING = {
readUI: () => vaeModelField.value,
parse: (val) => val
},
use_lora_model: { name: 'LoRA model',
setUI: (use_lora_model) => {
const oldVal = loraModelField.value
use_lora_model = (use_lora_model === undefined || use_lora_model === null || use_lora_model === 'None' ? '' : use_lora_model)
if (use_lora_model !== '') {
use_lora_model = getModelPath(use_lora_model, ['.ckpt', '.safetensors'])
use_lora_model = use_lora_model !== '' ? use_lora_model : oldVal
}
loraModelField.value = use_lora_model
},
readUI: () => loraModelField.value,
parse: (val) => val
},
use_hypernetwork_model: { name: 'Hypernetwork model',
setUI: (use_hypernetwork_model) => {
const oldVal = hypernetworkModelField.value
@ -357,6 +372,7 @@ function restoreTaskToUI(task, fieldsToSkip) {
initImagePreview.addEventListener('load', function() {
if (Boolean(task.reqBody.mask)) {
imageInpainter.setImg(task.reqBody.mask)
maskSetting.checked = true
}
}, { once: true })
initImagePreview.src = task.reqBody.init_image
@ -375,7 +391,7 @@ function readUI() {
}
function getModelPath(filename, extensions)
{
if (filename === null) {
if (typeof filename !== "string") {
return
}
@ -489,6 +505,7 @@ async function parseContent(text) {
return true
} else {
console.warn(`Raw text content couldn't be parsed.`)
promptField.value = text
return false
}
}

3
ui/media/js/engine.js
View File

@ -741,8 +741,10 @@
"stream_progress_updates": true,
"stream_image_progress": true,
"show_only_filtered_image": true,
"block_nsfw": false,
"output_format": "png",
"output_quality": 75,
"output_lossless": false,
}
const TASK_OPTIONAL = {
"device": 'string',
@ -754,6 +756,7 @@
"use_vae_model": 'string',
"use_hypernetwork_model": 'string',
"hypernetwork_strength": 'number',
"output_lossless": 'boolean',
}
// Higer values will result in...

44
ui/media/js/image-editor.js
View File

@ -117,6 +117,42 @@ const IMAGE_EDITOR_TOOLS = [
]
const IMAGE_EDITOR_ACTIONS = [
{
id: "load_mask",
name: "Load mask from file",
className: "load_mask",
icon: "fa-regular fa-folder-open",
handler: (editor) => {
let el = document.createElement('input')
el.setAttribute("type", "file")
el.addEventListener("change", function() {
if (this.files.length === 0) {
return
}
let reader = new FileReader()
let file = this.files[0]
reader.addEventListener('load', function(event) {
let maskData = reader.result
editor.layers.drawing.ctx.clearRect(0, 0, editor.width, editor.height)
var image = new Image()
image.onload = () => {
editor.layers.drawing.ctx.drawImage(image, 0, 0, editor.width, editor.height)
}
image.src = maskData
})
if (file) {
reader.readAsDataURL(file)
}
})
el.click()
},
trackHistory: true
},
{
id: "fill_all",
name: "Fill all",
@ -135,6 +171,7 @@ const IMAGE_EDITOR_ACTIONS = [
icon: "fa-solid fa-xmark",
handler: (editor) => {
editor.ctx_current.clearRect(0, 0, editor.width, editor.height)
imageEditor.setImage(null, editor.width, editor.height) // properly reset the drawing canvas
},
trackHistory: true
},
@ -244,8 +281,8 @@ var IMAGE_EDITOR_SECTIONS = [
var sub_element = document.createElement("div")
sub_element.style.background = `var(--background-color3)`
sub_element.style.filter = `blur(${blur_amount}px)`
sub_element.style.width = `${size - 4}px`
sub_element.style.height = `${size - 4}px`
sub_element.style.width = `${size - 2}px`
sub_element.style.height = `${size - 2}px`
sub_element.style['border-radius'] = `${size}px`
element.style.background = "none"
element.appendChild(sub_element)
@ -457,6 +494,9 @@ class ImageEditor {
var element = document.createElement("div")
var icon = document.createElement("i")
element.className = "image-editor-button button"
if (action.className) {
element.className += " " + action.className
}
icon.className = action.icon
element.appendChild(icon)
element.append(action.name)

100
ui/media/js/image-modal.js Normal file
View File

@ -0,0 +1,100 @@
"use strict"
const imageModal = (function() {
const zoomElem = createElement(
'i',
undefined,
['fa-solid', 'tertiaryButton'],
)
const closeElem = createElement(
'i',
undefined,
['fa-solid', 'fa-xmark', 'tertiaryButton'],
)
const menuBarElem = createElement('div', undefined, 'menu-bar', [zoomElem, closeElem])
const imageContainer = createElement('div', undefined, 'image-wrapper')
const backdrop = createElement('div', undefined, 'backdrop')
const modalContainer = createElement('div', undefined, 'content', [menuBarElem, imageContainer])
const modalElem = createElement(
'div',
{ id: 'viewFullSizeImgModal' },
['popup'],
[backdrop, modalContainer],
)
document.body.appendChild(modalElem)
const setZoomLevel = (value) => {
const img = imageContainer.querySelector('img')
if (value) {
zoomElem.classList.remove('fa-magnifying-glass-plus')
zoomElem.classList.add('fa-magnifying-glass-minus')
if (img) {
img.classList.remove('natural-zoom')
let zoomLevel = typeof value === 'number' ? value : img.dataset.zoomLevel
if (!zoomLevel) {
zoomLevel = 100
}
img.dataset.zoomLevel = zoomLevel
img.width = img.naturalWidth * (+zoomLevel / 100)
img.height = img.naturalHeight * (+zoomLevel / 100)
}
} else {
zoomElem.classList.remove('fa-magnifying-glass-minus')
zoomElem.classList.add('fa-magnifying-glass-plus')
if (img) {
img.classList.add('natural-zoom')
img.removeAttribute('width')
img.removeAttribute('height')
}
}
}
zoomElem.addEventListener(
'click',
() => setZoomLevel(imageContainer.querySelector('img')?.classList?.contains('natural-zoom')),
)
const close = () => {
imageContainer.innerHTML = ''
modalElem.classList.remove('active')
document.body.style.overflow = 'initial'
}
window.addEventListener('keydown', (e) => {
if (e.key === 'Escape' && modalElem.classList.contains('active')) {
close()
}
})
window.addEventListener('click', (e) => {
if (modalElem.classList.contains('active')) {
if (e.target === backdrop || e.target === closeElem) {
close()
}
e.stopPropagation()
e.stopImmediatePropagation()
e.preventDefault()
}
})
return (optionsFactory) => {
const options = typeof optionsFactory === 'function' ? optionsFactory() : optionsFactory
const src = typeof options === 'string' ? options : options.src
// TODO center it if < window size
const imgElem = createElement('img', { src }, 'natural-zoom')
imageContainer.appendChild(imgElem)
modalElem.classList.add('active')
document.body.style.overflow = 'hidden'
setZoomLevel(false)
}
})()

63
ui/media/js/image-modifiers.js
View File

@ -1,6 +1,7 @@
let activeTags = []
let modifiers = []
let customModifiersGroupElement = undefined
let customModifiersInitialContent
let editorModifierEntries = document.querySelector('#editor-modifiers-entries')
let editorModifierTagsList = document.querySelector('#editor-inputs-tags-list')
@ -18,6 +19,9 @@ const CUSTOM_MODIFIERS_KEY = "customModifiers"
function createModifierCard(name, previews, removeBy) {
const modifierCard = document.createElement('div')
let style = previewImageField.value
let styleIndex = (style=='portrait') ? 0 : 1
modifierCard.className = 'modifier-card'
modifierCard.innerHTML = `
<div class="modifier-card-overlay"></div>
@ -37,8 +41,8 @@ function createModifierCard(name, previews, removeBy) {
errorText.innerText = 'No Image'
if (typeof previews == 'object') {
image.src = previews[0]; // portrait
image.setAttribute('preview-type', 'portrait')
image.src = previews[styleIndex]; // portrait
image.setAttribute('preview-type', style)
} else {
image.remove()
}
@ -48,7 +52,6 @@ function createModifierCard(name, previews, removeBy) {
if(cardLabel.length <= maxLabelLength) {
label.querySelector('p').innerText = cardLabel
label.querySelector('p').dataset.fullName = name // preserve the full name
} else {
const tooltipText = document.createElement('span')
tooltipText.className = 'tooltip-text'
@ -59,6 +62,7 @@ function createModifierCard(name, previews, removeBy) {
label.querySelector('p').innerText = cardLabel.substring(0, maxLabelLength) + '...'
}
label.querySelector('p').dataset.fullName = name // preserve the full name
return modifierCard
}
@ -80,7 +84,7 @@ function createModifierGroup(modifierGroup, initiallyExpanded, removeBy) {
modifiers.forEach(modObj => {
const modifierName = modObj.modifier
const modifierPreviews = modObj?.previews?.map(preview => `${modifierThumbnailPath}/${preview.path}`)
const modifierPreviews = modObj?.previews?.map(preview => `${IMAGE_REGEX.test(preview.image) ? preview.image : modifierThumbnailPath + '/' + preview.path}`)
const modifierCard = createModifierCard(modifierName, modifierPreviews, removeBy)
@ -115,6 +119,7 @@ function createModifierGroup(modifierGroup, initiallyExpanded, removeBy) {
modifiersEl.appendChild(brk)
let e = document.createElement('div')
e.className = 'modifier-category'
e.appendChild(titleEl)
e.appendChild(modifiersEl)
@ -124,7 +129,10 @@ function createModifierGroup(modifierGroup, initiallyExpanded, removeBy) {
}
function trimModifiers(tag) {
return tag.replace(/^\(+|\)+$/g, '').replace(/^\[+|\]+$/g, '')
// Remove trailing '-' and/or '+'
tag = tag.replace(/[-+]+$/, '');
// Remove parentheses at beginning and end
return tag.replace(/^[(]+|[\s)]+$/g, '');
}
async function loadModifiers() {
@ -144,17 +152,18 @@ async function loadModifiers() {
createCollapsibles(editorModifierEntries)
}
} catch (e) {
console.log('error fetching modifiers', e)
console.error('error fetching modifiers', e)
}
loadCustomModifiers()
resizeModifierCards(modifierCardSizeSlider.value)
document.dispatchEvent(new Event('loadImageModifiers'))
}
function refreshModifiersState(newTags) {
function refreshModifiersState(newTags, inactiveTags) {
// clear existing modifiers
document.querySelector('#editor-modifiers').querySelectorAll('.modifier-card').forEach(modifierCard => {
const modifierName = modifierCard.querySelector('.modifier-card-label').innerText
const modifierName = modifierCard.querySelector('.modifier-card-label p').dataset.fullName // pick the full modifier name
if (activeTags.map(x => x.name).includes(modifierName)) {
modifierCard.classList.remove(activeCardClass)
modifierCard.querySelector('.modifier-card-image-overlay').innerText = '+'
@ -166,13 +175,16 @@ function refreshModifiersState(newTags) {
newTags.forEach(tag => {
let found = false
document.querySelector('#editor-modifiers').querySelectorAll('.modifier-card').forEach(modifierCard => {
const modifierName = modifierCard.querySelector('.modifier-card-label').innerText
if (tag == modifierName) {
const modifierName = modifierCard.querySelector('.modifier-card-label p').dataset.fullName
const shortModifierName = modifierCard.querySelector('.modifier-card-label p').innerText
if (trimModifiers(tag) == trimModifiers(modifierName)) {
// add modifier to active array
if (!activeTags.map(x => x.name).includes(tag)) { // only add each tag once even if several custom modifier cards share the same tag
const imageModifierCard = modifierCard.cloneNode(true)
imageModifierCard.querySelector('.modifier-card-label p').innerText = tag.replace(modifierName, shortModifierName)
activeTags.push({
'name': modifierName,
'element': modifierCard.cloneNode(true),
'name': tag,
'element': imageModifierCard,
'originElement': modifierCard
})
}
@ -202,7 +214,7 @@ function refreshModifiersState(newTags) {
})
}
})
refreshTagsList()
refreshTagsList(inactiveTags)
}
function refreshInactiveTags(inactiveTags) {
@ -219,13 +231,13 @@ function refreshInactiveTags(inactiveTags) {
let overlays = document.querySelector('#editor-inputs-tags-list').querySelectorAll('.modifier-card-overlay')
overlays.forEach (i => {
let modifierName = i.parentElement.getElementsByClassName('modifier-card-label')[0].getElementsByTagName("p")[0].innerText
if (inactiveTags.find(element => element === modifierName) !== undefined) {
if (inactiveTags?.find(element => element === modifierName) !== undefined) {
i.parentElement.classList.add('modifier-toggle-inactive')
}
})
}
function refreshTagsList() {
function refreshTagsList(inactiveTags) {
editorModifierTagsList.innerHTML = ''
if (activeTags.length == 0) {
@ -257,6 +269,8 @@ function refreshTagsList() {
let brk = document.createElement('br')
brk.style.clear = 'both'
editorModifierTagsList.appendChild(brk)
refreshInactiveTags(inactiveTags)
document.dispatchEvent(new Event('refreshImageModifiers')) // notify plugins that the image tags have been refreshed
}
function toggleCardState(modifierName, makeActive) {
@ -340,9 +354,28 @@ previewImageField.onchange = () => changePreviewImages(previewImageField.value)
modifierSettingsBtn.addEventListener('click', function(e) {
modifierSettingsOverlay.classList.add("active")
customModifiersTextBox.setSelectionRange(0, 0)
customModifiersTextBox.focus()
customModifiersInitialContent = customModifiersTextBox.value // preserve the initial content
e.stopPropagation()
})
modifierSettingsOverlay.addEventListener('keydown', function(e) {
switch (e.key) {
case "Escape": // Escape to cancel
customModifiersTextBox.value = customModifiersInitialContent // undo the changes
modifierSettingsOverlay.classList.remove("active")
e.stopPropagation()
break
case "Enter":
if (e.ctrlKey) { // Ctrl+Enter to confirm
modifierSettingsOverlay.classList.remove("active")
e.stopPropagation()
break
}
}
})
function saveCustomModifiers() {
localStorage.setItem(CUSTOM_MODIFIERS_KEY, customModifiersTextBox.value.trim())

13
ui/media/js/jszip.min.js vendored Executable file
View File

File diff suppressed because one or more lines are too long

480
ui/media/js/main.js
View File

@ -5,6 +5,9 @@ const MIN_GPUS_TO_SHOW_SELECTION = 2
const IMAGE_REGEX = new RegExp('data:image/[A-Za-z]+;base64')
const htmlTaskMap = new WeakMap()
let imageCounter = 0
let imageRequest = []
let promptField = document.querySelector('#prompt')
let promptsFromFileSelector = document.querySelector('#prompt_from_file')
let promptsFromFileBtn = document.querySelector('#promptsFromFileBtn')
@ -21,6 +24,7 @@ let randomSeedField = document.querySelector("#random_seed")
let seedField = document.querySelector('#seed')
let widthField = document.querySelector('#width')
let heightField = document.querySelector('#height')
let smallImageWarning = document.querySelector('#small_image_warning')
let initImageSelector = document.querySelector("#init_image")
let initImagePreview = document.querySelector("#init_image_preview")
let initImageSizeBox = document.querySelector("#init_image_size_box")
@ -42,10 +46,19 @@ let vaeModelField = new ModelDropdown(document.querySelector('#vae_model'), 'vae
let hypernetworkModelField = new ModelDropdown(document.querySelector('#hypernetwork_model'), 'hypernetwork', 'None')
let hypernetworkStrengthSlider = document.querySelector('#hypernetwork_strength_slider')
let hypernetworkStrengthField = document.querySelector('#hypernetwork_strength')
let loraModelField = new ModelDropdown(document.querySelector('#lora_model'), 'lora', 'None')
let loraAlphaSlider = document.querySelector('#lora_alpha_slider')
let loraAlphaField = document.querySelector('#lora_alpha')
let outputFormatField = document.querySelector('#output_format')
let outputLosslessField = document.querySelector('#output_lossless')
let outputLosslessContainer = document.querySelector('#output_lossless_container')
let blockNSFWField = document.querySelector('#block_nsfw')
let showOnlyFilteredImageField = document.querySelector("#show_only_filtered_image")
let updateBranchLabel = document.querySelector("#updateBranchLabel")
let streamImageProgressField = document.querySelector("#stream_image_progress")
let thumbnailSizeField = document.querySelector("#thumbnail_size-input")
let autoscrollBtn = document.querySelector("#auto_scroll_btn")
let autoScroll = document.querySelector("#auto_scroll")
let makeImageBtn = document.querySelector('#makeImage')
let stopImageBtn = document.querySelector('#stopImage')
@ -61,7 +74,13 @@ let promptStrengthContainer = document.querySelector('#prompt_strength_container
let initialText = document.querySelector("#initial-text")
let previewTools = document.querySelector("#preview-tools")
let clearAllPreviewsBtn = document.querySelector("#clear-all-previews")
let showDownloadPopupBtn = document.querySelector("#show-download-popup")
let saveAllImagesPopup = document.querySelector("#download-images-popup")
let saveAllImagesBtn = document.querySelector("#save-all-images")
let saveAllZipToggle = document.querySelector("#zip_toggle")
let saveAllTreeToggle = document.querySelector("#tree_toggle")
let saveAllJSONToggle = document.querySelector("#json_toggle")
let saveAllFoldersOption = document.querySelector("#download-add-folders")
let maskSetting = document.querySelector('#enable_mask')
@ -69,6 +88,11 @@ const processOrder = document.querySelector('#process_order_toggle')
let imagePreview = document.querySelector("#preview")
let imagePreviewContent = document.querySelector("#preview-content")
let undoButton = document.querySelector("#undo")
let undoBuffer = []
const UNDO_LIMIT = 20
imagePreview.addEventListener('drop', function(ev) {
const data = ev.dataTransfer?.getData("text/plain");
if (!data) {
@ -156,18 +180,18 @@ function setStatus(statusType, msg, msgType) {
function setServerStatus(event) {
switch(event.type) {
case 'online':
serverStatusColor.style.color = 'green'
serverStatusMsg.style.color = 'green'
serverStatusColor.style.color = 'var(--status-green)'
serverStatusMsg.style.color = 'var(--status-green)'
serverStatusMsg.innerText = 'Stable Diffusion is ' + event.message
break
case 'busy':
serverStatusColor.style.color = 'rgb(200, 139, 0)'
serverStatusMsg.style.color = 'rgb(200, 139, 0)'
serverStatusColor.style.color = 'var(--status-orange)'
serverStatusMsg.style.color = 'var(--status-orange)'
serverStatusMsg.innerText = 'Stable Diffusion is ' + event.message
break
case 'error':
serverStatusColor.style.color = 'red'
serverStatusMsg.style.color = 'red'
serverStatusColor.style.color = 'var(--status-red)'
serverStatusMsg.style.color = 'var(--status-red)'
serverStatusMsg.innerText = 'Stable Diffusion has stopped'
break
}
@ -237,6 +261,48 @@ function playSound() {
}
}
function undoableRemove(element, doubleUndo=false) {
let data = { 'element': element, 'parent': element.parentNode, 'prev': element.previousSibling, 'next': element.nextSibling, 'doubleUndo': doubleUndo }
undoBuffer.push(data)
if (undoBuffer.length > UNDO_LIMIT) {
// Remove item from memory and also remove it from the data structures
let item = undoBuffer.shift()
htmlTaskMap.delete(item.element)
item.element.querySelectorAll('[data-imagecounter]').forEach( (img) => { delete imageRequest[img.dataset['imagecounter']] })
}
element.remove()
if (undoBuffer.length != 0) {
undoButton.classList.remove('displayNone')
}
}
function undoRemove() {
let data = undoBuffer.pop()
if (!data) {
return
}
if (data.next == null) {
data.parent.appendChild(data.element)
} else {
data.parent.insertBefore(data.element, data.next)
}
if (data.doubleUndo) {
undoRemove()
}
if (undoBuffer.length == 0) {
undoButton.classList.add('displayNone')
}
updateInitialText()
}
undoButton.addEventListener('click', () => { undoRemove() })
document.addEventListener('keydown', function(e) {
if ((e.ctrlKey || e.metaKey) && e.key === 'z' && e.target == document.body) {
undoRemove()
}
})
function showImages(reqBody, res, outputContainer, livePreview) {
let imageItemElements = outputContainer.querySelectorAll('.imgItem')
if(typeof res != 'object') return
@ -264,27 +330,31 @@ function showImages(reqBody, res, outputContainer, livePreview) {
<div class="imgContainer">
<img/>
<div class="imgItemInfo">
<span class="imgSeedLabel"></span>
<div>
<span class="imgInfoLabel imgExpandBtn"><i class="fa-solid fa-expand"></i></span><span class="imgInfoLabel imgSeedLabel"></span>
</div>
</div>
<button class="imgPreviewItemClearBtn image_clear_btn"><i class="fa-solid fa-xmark"></i></button>
<span class="img_bottom_label"></span>
</div>
`
outputContainer.appendChild(imageItemElem)
const imageRemoveBtn = imageItemElem.querySelector('.imgPreviewItemClearBtn')
let parentTaskContainer = imageRemoveBtn.closest('.imageTaskContainer')
imageRemoveBtn.addEventListener('click', (e) => {
shiftOrConfirm(e, "Remove the image from the results?", () => {
imageItemElem.style.display = 'none'
let allHidden = true;
let children = parentTaskContainer.querySelectorAll('.imgItem');
for(let x = 0; x < children.length; x++) {
let child = children[x];
if(child.style.display != "none") {
allHidden = false;
}
undoableRemove(imageItemElem)
let allHidden = true;
let children = parentTaskContainer.querySelectorAll('.imgItem');
for(let x = 0; x < children.length; x++) {
let child = children[x];
if(child.style.display != "none") {
allHidden = false;
}
if(allHidden === true) {parentTaskContainer.classList.add("displayNone")}
})
}
if(allHidden === true) {
const req = htmlTaskMap.get(parentTaskContainer)
if(!req.isProcessing || req.batchesDone == req.batchCount) { undoableRemove(parentTaskContainer, true) }
}
})
}
const imageElem = imageItemElem.querySelector('img')
@ -295,25 +365,40 @@ function showImages(reqBody, res, outputContainer, livePreview) {
imageElem.setAttribute('data-steps', imageInferenceSteps)
imageElem.setAttribute('data-guidance', imageGuidanceScale)
imageElem.addEventListener('load', function() {
imageItemElem.querySelector('.img_bottom_label').innerText = `${this.naturalWidth} x ${this.naturalHeight}`
})
const imageInfo = imageItemElem.querySelector('.imgItemInfo')
imageInfo.style.visibility = (livePreview ? 'hidden' : 'visible')
if ('seed' in result && !imageElem.hasAttribute('data-seed')) {
const imageExpandBtn = imageItemElem.querySelector('.imgExpandBtn')
imageExpandBtn.addEventListener('click', function() {
imageModal(imageElem.src)
})
const req = Object.assign({}, reqBody, {
seed: result?.seed || reqBody.seed
})
imageElem.setAttribute('data-seed', req.seed)
imageElem.setAttribute('data-imagecounter', ++imageCounter)
imageRequest[imageCounter] = req
const imageSeedLabel = imageItemElem.querySelector('.imgSeedLabel')
imageSeedLabel.innerText = 'Seed: ' + req.seed
let buttons = [
{ text: 'Use as Input', on_click: onUseAsInputClick },
{ text: 'Download', on_click: onDownloadImageClick },
[
{ html: '<i class="fa-solid fa-download"></i> Download Image', on_click: onDownloadImageClick, class: "download-img" },
{ html: '<i class="fa-solid fa-download"></i> JSON', on_click: onDownloadJSONClick, class: "download-json" }
],
{ text: 'Make Similar Images', on_click: onMakeSimilarClick },
{ text: 'Draw another 25 steps', on_click: onContinueDrawingClick },
{ text: 'Upscale', on_click: onUpscaleClick, filter: (req, img) => !req.use_upscale },
{ text: 'Fix Faces', on_click: onFixFacesClick, filter: (req, img) => !req.use_face_correction }
[
{ text: 'Upscale', on_click: onUpscaleClick, filter: (req, img) => !req.use_upscale },
{ text: 'Fix Faces', on_click: onFixFacesClick, filter: (req, img) => !req.use_face_correction }
]
]
// include the plugins
@ -322,23 +407,60 @@ function showImages(reqBody, res, outputContainer, livePreview) {
const imgItemInfo = imageItemElem.querySelector('.imgItemInfo')
const img = imageItemElem.querySelector('img')
const createButton = function(btnInfo) {
const newButton = document.createElement('button')
newButton.classList.add('tasksBtns')
newButton.innerText = btnInfo.text
newButton.addEventListener('click', function(event) {
btnInfo.on_click(req, img, event)
})
if (btnInfo.class !== undefined) {
newButton.classList.add(btnInfo.class)
if (Array.isArray(btnInfo)) {
const wrapper = document.createElement('div');
btnInfo
.map(createButton)
.forEach(buttonElement => wrapper.appendChild(buttonElement))
return wrapper
}
imgItemInfo.appendChild(newButton)
const isLabel = btnInfo.type === 'label'
const newButton = document.createElement(isLabel ? 'span' : 'button')
newButton.classList.add('tasksBtns')
if (btnInfo.html) {
const html = typeof btnInfo.html === 'function' ? btnInfo.html() : btnInfo.html
if (html instanceof HTMLElement) {
newButton.appendChild(html)
} else {
newButton.innerHTML = html
}
} else {
newButton.innerText = typeof btnInfo.text === 'function' ? btnInfo.text() : btnInfo.text
}
if (btnInfo.on_click || !isLabel) {
newButton.addEventListener('click', function(event) {
btnInfo.on_click(req, img, event)
})
}
if (btnInfo.class !== undefined) {
if (Array.isArray(btnInfo.class)) {
newButton.classList.add(...btnInfo.class)
} else {
newButton.classList.add(btnInfo.class)
}
}
return newButton
}
buttons.forEach(btn => {
if (btn.filter && btn.filter(req, img) === false) {
if (Array.isArray(btn)) {
btn = btn.filter(btnInfo => !btnInfo.filter || btnInfo.filter(req, img) === true)
if (btn.length === 0) {
return
}
} else if (btn.filter && btn.filter(req, img) === false) {
return
}
createButton(btn)
try {
imgItemInfo.appendChild(createButton(btn))
} catch (err) {
console.error('Error creating image info button from plugin: ', btn, err)
}
})
}
})
@ -353,17 +475,25 @@ function onUseAsInputClick(req, img) {
maskSetting.checked = false
}
function onDownloadImageClick(req, img) {
const imgData = img.src
function getDownloadFilename(img, suffix) {
const imageSeed = img.getAttribute('data-seed')
const imagePrompt = img.getAttribute('data-prompt')
const imageInferenceSteps = img.getAttribute('data-steps')
const imageGuidanceScale = img.getAttribute('data-guidance')
const imgDownload = document.createElement('a')
imgDownload.download = createFileName(imagePrompt, imageSeed, imageInferenceSteps, imageGuidanceScale, req['output_format'])
imgDownload.href = imgData
imgDownload.click()
return createFileName(imagePrompt, imageSeed, imageInferenceSteps, imageGuidanceScale, suffix)
}
function onDownloadJSONClick(req, img) {
const name = getDownloadFilename(img, 'json')
const blob = new Blob([JSON.stringify(req, null, 2)], { type: 'text/plain' })
saveAs(blob, name)
}
function onDownloadImageClick(req, img) {
const name = getDownloadFilename(img, req['output_format'])
const blob = dataURItoBlob(img.src)
saveAs(blob, name)
}
function modifyCurrentRequest(...reqDiff) {
@ -486,7 +616,7 @@ function makeImage() {
}))
newTaskRequests.forEach(createTask)
initialText.style.display = 'none'
updateInitialText()
}
async function onIdle() {
@ -784,7 +914,7 @@ async function onTaskStart(task) {
setStatus('request', 'fetching..')
renderButtons.style.display = 'flex'
renameMakeImageButton()
previewTools.style.display = 'block'
updateInitialText()
}
/* Hover effect for the init image in the task list */
@ -851,6 +981,9 @@ function createTask(task) {
taskConfig += `, <b>Hypernetwork:</b> ${task.reqBody.use_hypernetwork_model}`
taskConfig += `, <b>Hypernetwork Strength:</b> ${task.reqBody.hypernetwork_strength}`
}
if (task.reqBody.use_lora_model) {
taskConfig += `, <b>LoRA:</b> ${task.reqBody.use_lora_model}`
}
if (task.reqBody.preserve_init_image_color_profile) {
taskConfig += `, <b>Preserve Color Profile:</b> true`
}
@ -862,7 +995,7 @@ function createTask(task) {
<i class="drag-handle fa-solid fa-grip"></i>
<div class="taskStatusLabel">Enqueued</div>
<button class="secondaryButton stopTask"><i class="fa-solid fa-trash-can"></i> Remove</button>
<button class="secondaryButton useSettings"><i class="fa-solid fa-redo"></i> Use these settings</button>
<button class="tertiaryButton useSettings"><i class="fa-solid fa-redo"></i> Use these settings</button>
<div class="preview-prompt"></div>
<div class="taskConfig">${taskConfig}</div>
<div class="outputMsg"></div>
@ -913,13 +1046,16 @@ function createTask(task) {
task['stopTask'].addEventListener('click', (e) => {
e.stopPropagation()
let question = (task['isProcessing'] ? "Stop this task?" : "Remove this task?")
shiftOrConfirm(e, question, async function(e) {
if (task.batchesDone <= 0 || !task.isProcessing) {
removeTask(taskEntry)
}
abortTask(task)
})
if (task['isProcessing']) {
shiftOrConfirm(e, "Stop this task?", async function(e) {
if (task.batchesDone <= 0 || !task.isProcessing) {
removeTask(taskEntry)
}
abortTask(task)
})
} else {
removeTask(taskEntry)
}
})
task['useSettings'] = taskEntry.querySelector('.useSettings')
@ -961,14 +1097,17 @@ function getCurrentUserRequest() {
height: parseInt(heightField.value),
// allow_nsfw: allowNSFWField.checked,
vram_usage_level: vramUsageLevelField.value,
sampler_name: samplerField.value,
//render_device: undefined, // Set device affinity. Prefer this device, but wont activate.
use_stable_diffusion_model: stableDiffusionModelField.value,
use_vae_model: vaeModelField.value,
stream_progress_updates: true,
stream_image_progress: (numOutputsTotal > 50 ? false : streamImageProgressField.checked),
show_only_filtered_image: showOnlyFilteredImageField.checked,
block_nsfw: blockNSFWField.checked,
output_format: outputFormatField.value,
output_quality: parseInt(outputQualityField.value),
output_lossless: outputLosslessField.checked,
metadata_output_format: metadataOutputFormatField.value,
original_prompt: promptField.value,
active_tags: (activeTags.map(x => x.name)),
@ -986,9 +1125,9 @@ function getCurrentUserRequest() {
newTask.reqBody.mask = imageInpainter.getImg()
}
newTask.reqBody.preserve_init_image_color_profile = applyColorCorrectionField.checked
newTask.reqBody.sampler_name = 'ddim'
} else {
newTask.reqBody.sampler_name = samplerField.value
if (!testDiffusers.checked) {
newTask.reqBody.sampler_name = 'ddim'
}
}
if (saveToDiskField.checked && diskPathField.value.trim() !== '') {
newTask.reqBody.save_to_disk_path = diskPathField.value.trim()
@ -1004,6 +1143,9 @@ function getCurrentUserRequest() {
newTask.reqBody.use_hypernetwork_model = hypernetworkModelField.value
newTask.reqBody.hypernetwork_strength = parseFloat(hypernetworkStrengthField.value)
}
if (testDiffusers.checked) {
newTask.reqBody.use_lora_model = loraModelField.value
}
return newTask
}
@ -1101,31 +1243,10 @@ function createFileName(prompt, seed, steps, guidance, outputFormat) {
// Most important information is the prompt
let underscoreName = prompt.replace(/[^a-zA-Z0-9]/g, '_')
underscoreName = underscoreName.substring(0, 100)
//const steps = numInferenceStepsField.value
//const guidance = guidanceScaleField.value
underscoreName = underscoreName.substring(0, 70)
// name and the top level metadata
let fileName = `${underscoreName}_Seed-${seed}_Steps-${steps}_Guidance-${guidance}`
// add the tags
// let tags = []
// let tagString = ''
// document.querySelectorAll(modifyTagsSelector).forEach(function(tag) {
// tags.push(tag.innerHTML)
// })
// join the tags with a pipe
// if (activeTags.length > 0) {
// tagString = '_Tags-'
// tagString += tags.join('|')
// }
// // append empty or populated tags
// fileName += `${tagString}`
// add the file extension
fileName += '.' + (outputFormat === 'png' ? 'png' : 'jpeg')
let fileName = `${underscoreName}_S${seed}_St${steps}_G${guidance}.${outputFormat}`
return fileName
}
@ -1144,15 +1265,23 @@ async function stopAllTasks() {
})
}
function removeTask(taskToRemove) {
taskToRemove.remove()
function updateInitialText() {
if (document.querySelector('.imageTaskContainer') === null) {
previewTools.style.display = 'none'
initialText.style.display = 'block'
if (undoBuffer.length == 0) {
previewTools.classList.add('displayNone')
}
initialText.classList.remove('displayNone')
} else {
initialText.classList.add('displayNone')
previewTools.classList.remove('displayNone')
}
}
function removeTask(taskToRemove) {
undoableRemove(taskToRemove)
updateInitialText()
}
clearAllPreviewsBtn.addEventListener('click', (e) => { shiftOrConfirm(e, "Clear all the results and tasks in this window?", async function() {
await stopAllTasks()
@ -1160,20 +1289,89 @@ clearAllPreviewsBtn.addEventListener('click', (e) => { shiftOrConfirm(e, "Clear
taskEntries.forEach(removeTask)
})})
saveAllImagesBtn.addEventListener('click', (e) => {
/* Download images popup */
showDownloadPopupBtn.addEventListener("click", (e) => { saveAllImagesPopup.classList.add("active") })
saveAllZipToggle.addEventListener('change', (e) => {
if (saveAllZipToggle.checked) {
saveAllFoldersOption.classList.remove('displayNone')
} else {
saveAllFoldersOption.classList.add('displayNone')
}
})
// convert base64 to raw binary data held in a string
function dataURItoBlob(dataURI) {
var byteString = atob(dataURI.split(',')[1])
// separate out the mime component
var mimeString = dataURI.split(',')[0].split(':')[1].split(';')[0]
// write the bytes of the string to an ArrayBuffer
var ab = new ArrayBuffer(byteString.length)
// create a view into the buffer
var ia = new Uint8Array(ab)
// set the bytes of the buffer to the correct values
for (var i = 0; i < byteString.length; i++) {
ia[i] = byteString.charCodeAt(i)
}
// write the ArrayBuffer to a blob, and you're done
return new Blob([ab], {type: mimeString})
}
function downloadAllImages() {
let i = 0
let optZIP = saveAllZipToggle.checked
let optTree = optZIP && saveAllTreeToggle.checked
let optJSON = saveAllJSONToggle.checked
let zip = new JSZip()
let folder = zip
document.querySelectorAll(".imageTaskContainer").forEach(container => {
let req = htmlTaskMap.get(container)
if (optTree) {
let name = ++i + '-' + container.querySelector('.preview-prompt').textContent.replace(/[^a-zA-Z0-9]/g, '_').substring(0,25)
folder = zip.folder(name)
}
container.querySelectorAll(".imgContainer img").forEach(img => {
if (img.closest('.imgItem').style.display === 'none') {
// console.log('skipping hidden image', img)
let imgItem = img.closest('.imgItem')
if (imgItem.style.display === 'none') {
return
}
onDownloadImageClick(req, img)
// console.log(req)
let req = imageRequest[img.dataset['imagecounter']]
if (optZIP) {
let suffix = img.dataset['imagecounter'] + '.' + req['output_format']
folder.file(getDownloadFilename(img, suffix), dataURItoBlob(img.src))
if (optJSON) {
suffix = img.dataset['imagecounter'] + '.json'
folder.file(getDownloadFilename(img, suffix), JSON.stringify(req, null, 2))
}
} else {
setTimeout(() => {imgItem.querySelector('.download-img').click()}, i*200)
i = i+1
if (optJSON) {
setTimeout(() => {imgItem.querySelector('.download-json').click()}, i*200)
i = i+1
}
}
})
})
})
if (optZIP) {
let now = Date.now().toString(36).toUpperCase()
zip.generateAsync({type:"blob"}).then(function (blob) {
saveAs(blob, `EasyDiffusion-Images-${now}.zip`);
})
}
}
saveAllImagesBtn.addEventListener('click', (e) => { downloadAllImages() })
stopImageBtn.addEventListener('click', (e) => { shiftOrConfirm(e, "Stop all the tasks?", async function(e) {
await stopAllTasks()
@ -1195,7 +1393,9 @@ function renameMakeImageButton() {
}
}
numOutputsTotalField.addEventListener('change', renameMakeImageButton)
numOutputsTotalField.addEventListener('keyup', debounce(renameMakeImageButton, 300))
numOutputsParallelField.addEventListener('change', renameMakeImageButton)
numOutputsParallelField.addEventListener('keyup', debounce(renameMakeImageButton, 300))
function onDimensionChange() {
let widthValue = parseInt(widthField.value)
@ -1206,6 +1406,11 @@ function onDimensionChange() {
else {
imageInpainter.setImage(initImagePreview.src, widthValue, heightValue)
}
if ( widthValue < 512 && heightValue < 512 ) {
smallImageWarning.classList.remove('displayNone')
} else {
smallImageWarning.classList.add('displayNone')
}
}
diskPathField.disabled = !saveToDiskField.checked
@ -1301,7 +1506,35 @@ function updateHypernetworkStrengthContainer() {
hypernetworkModelField.addEventListener('change', updateHypernetworkStrengthContainer)
updateHypernetworkStrengthContainer()
/********************* JPEG Quality **********************/
/********************* LoRA alpha **********************/
function updateLoraAlpha() {
loraAlphaField.value = loraAlphaSlider.value / 100
loraAlphaField.dispatchEvent(new Event("change"))
}
function updateLoraAlphaSlider() {
if (loraAlphaField.value < 0) {
loraAlphaField.value = 0
} else if (loraAlphaField.value > 0.99) {
loraAlphaField.value = 0.99
}
loraAlphaSlider.value = loraAlphaField.value * 100
loraAlphaSlider.dispatchEvent(new Event("change"))
}
loraAlphaSlider.addEventListener('input', updateLoraAlpha)
loraAlphaField.addEventListener('input', updateLoraAlphaSlider)
updateLoraAlpha()
// function updateLoraAlphaContainer() {
// document.querySelector("#lora_alpha_container").style.display = (loraModelField.value === "" ? 'none' : '')
// }
// loraModelField.addEventListener('change', updateLoraAlphaContainer)
// updateLoraAlphaContainer()
document.querySelector("#lora_alpha_container").style.display = 'none'
/********************* JPEG/WEBP Quality **********************/
function updateOutputQuality() {
outputQualityField.value = 0 | outputQualitySlider.value
outputQualityField.dispatchEvent(new Event("change"))
@ -1322,14 +1555,58 @@ outputQualitySlider.addEventListener('input', updateOutputQuality)
outputQualityField.addEventListener('input', debounce(updateOutputQualitySlider, 1500))
updateOutputQuality()
outputFormatField.addEventListener('change', e => {
if (outputFormatField.value == 'jpeg') {
outputQualityRow.style.display='table-row'
} else {
outputQualityRow.style.display='none'
function updateOutputQualityVisibility() {
if (outputFormatField.value === 'webp') {
outputLosslessContainer.style.display = 'unset'
if (outputLosslessField.checked) {
outputQualityRow.style.display='none'
} else {
outputQualityRow.style.display='table-row'
}
}
else if (outputFormatField.value === 'png') {
outputQualityRow.style.display='none'
outputLosslessContainer.style.display = 'none'
} else {
outputQualityRow.style.display='table-row'
outputLosslessContainer.style.display = 'none'
}
}
outputFormatField.addEventListener('change', updateOutputQualityVisibility)
outputLosslessField.addEventListener('change', updateOutputQualityVisibility)
/********************* Zoom Slider **********************/
thumbnailSizeField.addEventListener('change', () => {
(function (s) {
for (var j =0; j < document.styleSheets.length; j++) {
let cssSheet = document.styleSheets[j]
for (var i = 0; i < cssSheet.cssRules.length; i++) {
var rule = cssSheet.cssRules[i];
if (rule.selectorText == "div.img-preview img") {
rule.style['max-height'] = s+'vh';
rule.style['max-width'] = s+'vw';
return;
}
}
}
})(thumbnailSizeField.value)
})
function onAutoScrollUpdate() {
if (autoScroll.checked) {
autoscrollBtn.classList.add('pressed')
} else {
autoscrollBtn.classList.remove('pressed')
}
autoscrollBtn.querySelector(".state").innerHTML = (autoScroll.checked ? "ON" : "OFF")
}
autoscrollBtn.addEventListener('click', function() {
autoScroll.checked = !autoScroll.checked
autoScroll.dispatchEvent(new Event("change"))
onAutoScrollUpdate()
})
autoScroll.addEventListener('change', onAutoScrollUpdate)
function checkRandomSeed() {
if (randomSeedField.checked) {
seedField.disabled = true
@ -1362,7 +1639,9 @@ loadImg2ImgFromFile()
function img2imgLoad() {
promptStrengthContainer.style.display = 'table-row'
samplerSelectionContainer.style.display = "none"
if (!testDiffusers.checked) {
samplerSelectionContainer.style.display = "none"
}
initImagePreviewContainer.classList.add("has-image")
colorCorrectionSetting.style.display = ''
@ -1377,7 +1656,9 @@ function img2imgUnload() {
maskSetting.checked = false
promptStrengthContainer.style.display = "none"
samplerSelectionContainer.style.display = ""
if (!testDiffusers.checked) {
samplerSelectionContainer.style.display = ""
}
initImagePreviewContainer.classList.remove("has-image")
colorCorrectionSetting.style.display = 'none'
imageEditor.setImage(null, parseInt(widthField.value), parseInt(heightField.value))
@ -1394,7 +1675,7 @@ promptsFromFileBtn.addEventListener('click', function() {
promptsFromFileSelector.click()
})
promptsFromFileSelector.addEventListener('change', function() {
promptsFromFileSelector.addEventListener('change', async function() {
if (promptsFromFileSelector.files.length === 0) {
return
}
@ -1402,8 +1683,8 @@ promptsFromFileSelector.addEventListener('change', function() {
let reader = new FileReader()
let file = promptsFromFileSelector.files[0]
reader.addEventListener('load', function() {
promptField.value = reader.result
reader.addEventListener('load', async function() {
await parseContent(reader.result)
})
if (file) {
@ -1490,6 +1771,7 @@ resumeBtn.addEventListener("click", function () {
document.body.classList.remove('wait-pause')
})
/* Pause function */
document.querySelectorAll(".tab").forEach(linkTabContents)
window.addEventListener("beforeunload", function(e) {
@ -1507,3 +1789,7 @@ window.addEventListener("beforeunload", function(e) {
createCollapsibles()
prettifyInputs(document);
// set the textbox as focused on start
promptField.focus()
promptField.selectionStart = promptField.value.length

44
ui/media/js/parameters.js
View File

@ -7,6 +7,7 @@
checkbox: "checkbox",
select: "select",
select_multiple: "select_multiple",
slider: "slider",
custom: "custom",
};
@ -78,6 +79,14 @@ var PARAMETERS = [
}
],
},
{
id: "block_nsfw",
type: ParameterType.checkbox,
label: "Block NSFW images",
note: "blurs out NSFW images",
icon: "fa-land-mine-on",
default: false,
},
{
id: "sound_toggle",
type: ParameterType.checkbox,
@ -181,6 +190,14 @@ var PARAMETERS = [
icon: "fa-fire",
default: false,
},
{
id: "test_diffusers",
type: ParameterType.checkbox,
label: "Test Diffusers",
note: "<b>Experimental! Can have bugs!</b> Use upcoming features (like LoRA) in our new engine. Please press Save, then restart the program after changing this.",
icon: "fa-bolt",
default: false,
},
];
function getParameterSettingsEntry(id) {
@ -191,6 +208,18 @@ function getParameterSettingsEntry(id) {
return parameter[0].settingsEntry
}
function sliderUpdate(event) {
if (event.srcElement.id.endsWith('-input')) {
let slider = document.getElementById(event.srcElement.id.slice(0,-6))
slider.value = event.srcElement.value
slider.dispatchEvent(new Event("change"))
} else {
let field = document.getElementById(event.srcElement.id+'-input')
field.value = event.srcElement.value
field.dispatchEvent(new Event("change"))
}
}
function getParameterElement(parameter) {
switch (parameter.type) {
case ParameterType.checkbox:
@ -201,6 +230,8 @@ function getParameterElement(parameter) {
var options = (parameter.options || []).map(option => `<option value="${option.value}">${option.label}</option>`).join("")
var multiple = (parameter.type == ParameterType.select_multiple ? 'multiple' : '')
return `<select id="${parameter.id}" name="${parameter.id}" ${multiple}>${options}</select>`
case ParameterType.slider:
return `<input id="${parameter.id}" name="${parameter.id}" class="editor-slider" type="range" value="${parameter.default}" min="${parameter.slider_min}" max="${parameter.slider_max}" oninput="sliderUpdate(event)"> <input id="${parameter.id}-input" name="${parameter.id}-input" size="4" value="${parameter.default}" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)" oninput="sliderUpdate(event)">&nbsp;${parameter.slider_unit}`
case ParameterType.custom:
return parameter.render(parameter)
default:
@ -240,6 +271,7 @@ let listenPortField = document.querySelector("#listen_port")
let useBetaChannelField = document.querySelector("#use_beta_channel")
let uiOpenBrowserOnStartField = document.querySelector("#ui_open_browser_on_start")
let confirmDangerousActionsField = document.querySelector("#confirm_dangerous_actions")
let testDiffusers = document.querySelector("#test_diffusers")
let saveSettingsBtn = document.querySelector('#save-system-settings-btn')
@ -279,6 +311,10 @@ async function getAppConfig() {
if (config.net && config.net.listen_port !== undefined) {
listenPortField.value = config.net.listen_port
}
if (config.test_diffusers !== undefined) {
testDiffusers.checked = config.test_diffusers
document.querySelector("#lora_model_container").style.display = (testDiffusers.checked ? '' : 'none')
}
console.log('get config status response', config)
} catch (e) {
@ -420,6 +456,10 @@ async function getSystemInfo() {
let force = false
if (res['enforce_output_dir'] !== undefined) {
force = res['enforce_output_dir']
if (force == true) {
saveToDiskField.checked = true
metadataOutputFormatField.disabled = false
}
saveToDiskField.disabled = force
diskPathField.disabled = force
}
@ -444,8 +484,10 @@ saveSettingsBtn.addEventListener('click', function() {
'update_branch': updateBranch,
'ui_open_browser_on_start': uiOpenBrowserOnStartField.checked,
'listen_to_network': listenToNetworkField.checked,
'listen_port': listenPortField.value
'listen_port': listenPortField.value,
'test_diffusers': testDiffusers.checked
})
saveSettingsBtn.classList.add('active')
asyncDelay(300).then(() => saveSettingsBtn.classList.remove('active'))
})

1
ui/media/js/plugins.js
View File

@ -31,6 +31,7 @@ const PLUGINS = {
OUTPUTS_FORMATS: new ServiceContainer(
function png() { return (reqBody) => new SD.RenderTask(reqBody) }
, function jpeg() { return (reqBody) => new SD.RenderTask(reqBody) }
, function webp() { return (reqBody) => new SD.RenderTask(reqBody) }
),
}
PLUGINS.OUTPUTS_FORMATS.register = function(...args) {

177
ui/media/js/searchable-models.js
View File

@ -62,6 +62,9 @@ class ModelDropdown
this.modelFilterArrow.style.color = state ? 'dimgray' : ''
}
}
get modelElements() {
return this.modelList.querySelectorAll('.model-file')
}
addEventListener(type, listener, options) {
return this.modelFilter.addEventListener(type, listener, options)
}
@ -107,8 +110,9 @@ class ModelDropdown
processClick(e) {
e.preventDefault()
if (e.srcElement.classList.contains('model-file')) {
this.saveCurrentSelection(e.srcElement, e.srcElement.innerText, e.srcElement.dataset.path)
if (e.srcElement.classList.contains('model-file') || e.srcElement.classList.contains('fa-file')) {
const elem = e.srcElement.classList.contains('model-file') ? e.srcElement : e.srcElement.parentElement
this.saveCurrentSelection(elem, elem.innerText, elem.dataset.path)
this.hideModelList()
this.modelFilter.focus()
this.modelFilter.select()
@ -116,12 +120,13 @@ class ModelDropdown
}
getPreviousVisibleSibling(elem) {
let prevSibling = elem.previousElementSibling
while (prevSibling && prevSibling.classList.contains('model-file')) {
if (prevSibling.style.display == 'list-item') return prevSibling
prevSibling = prevSibling.previousElementSibling
const modelElements = Array.from(this.modelElements)
const index = modelElements.indexOf(elem)
if (index <= 0) {
return undefined
}
if (prevSibling && prevSibling.style.display == 'list-item') return prevSibling
return modelElements.slice(0, index).reverse().find(e => e.style.display === 'list-item')
}
getLastVisibleChild(elem) {
@ -130,35 +135,10 @@ class ModelDropdown
return this.getPreviousVisibleSibling(lastElementChild)
}
findPreviousSibling(elem) {
// is there an immediate sibling?
let prevSibling = this.getPreviousVisibleSibling(elem)
if (prevSibling) {
// if the previous sibling is a model file, just select it
if (prevSibling.classList.contains('model-file')) return prevSibling
// if the previous sibling is a model folder, select the last model file it contains
if (prevSibling.classList.contains('model-folder')) return prevSibling.firstElementChild.lastElementChild
}
// no sibling model file and no sibling model folder. look for siblings around the parent element.
prevSibling = this.getPreviousVisibleSibling(elem.parentElement.parentElement)
if (prevSibling) {
// if the previous entry is a model file, select it
if (prevSibling.classList.contains('model-file')) return prevSibling
// is there another model folder to jump to before the current one?
if (prevSibling.classList.contains('model-folder')) return this.getLastVisibleChild(prevSibling.firstElementChild)
}
}
getNextVisibleSibling(elem) {
let nextSibling = elem.nextElementSibling
while (nextSibling && nextSibling.classList.contains('model-file')) {
if (nextSibling.style.display == 'list-item') return nextSibling
nextSibling = nextSibling.nextElementSibling
}
if (nextSibling && nextSibling.style.display == 'list-item') return nextSibling
const modelElements = Array.from(this.modelElements)
const index = modelElements.indexOf(elem)
return modelElements.slice(index + 1).find(e => e.style.display === 'list-item')
}
getFirstVisibleChild(elem) {
@ -167,28 +147,6 @@ class ModelDropdown
return this.getNextVisibleSibling(firstElementChild)
}
findNextSibling(elem) {
// is there an immediate sibling?
let nextSibling = this.getNextVisibleSibling(elem)
if (nextSibling) {
// if the next sibling is a model file, just select it
if (nextSibling.classList.contains('model-file')) return nextSibling
// if the next sibling is a model folder, select the first model file it contains
if (nextSibling.classList.contains('model-folder')) return nextSibling.firstElementChild.firstElementChild
}
// no sibling model file and no sibling model folder. look for siblings around the parent element.
nextSibling = this.getNextVisibleSibling(elem.parentElement.parentElement)
if (nextSibling) {
// if the next entry is a model file, select it
if (nextSibling.classList.contains('model-file')) return nextSibling
// is there another model folder to jump to after the current one?
if (nextSibling.classList.contains('model-folder')) return this.getFirstVisibleChild(nextSibling.firstElementChild)
}
}
selectModelEntry(elem) {
if (elem) {
if (this.highlightedModelEntry !== undefined) {
@ -202,7 +160,7 @@ class ModelDropdown
}
selectPreviousFile() {
const elem = this.findPreviousSibling(this.highlightedModelEntry)
const elem = this.getPreviousVisibleSibling(this.highlightedModelEntry)
if (elem) {
this.selectModelEntry(elem)
}
@ -215,7 +173,7 @@ class ModelDropdown
}
selectNextFile() {
this.selectModelEntry(this.findNextSibling(this.highlightedModelEntry))
this.selectModelEntry(this.getNextVisibleSibling(this.highlightedModelEntry))
this.modelFilter.select()
}
@ -346,7 +304,8 @@ class ModelDropdown
this.modelList.style.display = 'block'
this.selectEntry()
this.showAllEntries()
this.modelFilter.value = ''
//this.modelFilter.value = ''
this.modelFilter.select() // preselect the entire string so user can just start typing.
this.modelFilter.focus()
this.modelFilter.style.cursor = 'auto'
}
@ -373,13 +332,13 @@ class ModelDropdown
selectEntry(path) {
if (path !== undefined) {
const entries = this.modelList.querySelectorAll('.model-file');
const entries = this.modelElements;
for (let i = 0; i < entries.length; i++) {
if (entries[i].dataset.path == path) {
this.saveCurrentSelection(entries[i], entries[i].innerText, entries[i].dataset.path)
this.highlightedModelEntry = entries[i]
entries[i].scrollIntoView({block: 'nearest'})
for (const elem of entries) {
if (elem.dataset.path == path) {
this.saveCurrentSelection(elem, elem.innerText, elem.dataset.path)
this.highlightedModelEntry = elem
elem.scrollIntoView({block: 'nearest'})
break
}
}
@ -453,7 +412,7 @@ class ModelDropdown
if (found) {
this.modelResult.style.display = 'list-item'
this.modelNoResult.style.display = 'none'
const elem = this.findNextSibling(this.modelList.querySelector('.model-file'))
const elem = this.getNextVisibleSibling(this.modelList.querySelector('.model-file'))
this.highlightModel(elem)
elem.scrollIntoView({block: 'nearest'})
}
@ -518,10 +477,11 @@ class ModelDropdown
createDropdown() {
// create dropdown entries
this.modelFilter.insertAdjacentElement('afterend', this.createRootModelList(this.inputModels))
let rootModelList = this.createRootModelList(this.inputModels)
this.modelFilter.insertAdjacentElement('afterend', rootModelList)
this.modelFilter.insertAdjacentElement(
'afterend',
this.createElement(
createElement(
'i',
{ id: `${this.modelFilter.id}-model-filter-arrow` },
['model-selector-arrow', 'fa-solid', 'fa-angle-down'],
@ -549,30 +509,13 @@ class ModelDropdown
this.modelList.addEventListener('mousemove', this.bind(this.highlightModelAtPosition, this))
this.modelList.addEventListener('mousedown', this.bind(this.processClick, this))
this.selectEntry(this.activeModel)
}
let mf = this.modelFilter
this.modelFilter.addEventListener('focus', function() {
let modelFilterStyle = window.getComputedStyle(mf)
rootModelList.style.minWidth = modelFilterStyle.width
})
/**
*
* @param {string} tag
* @param {object} attributes
* @param {Array<string>} classes
* @returns {HTMLElement}
*/
createElement(tagName, attributes, classes, text) {
const element = document.createElement(tagName)
if (attributes) {
Object.entries(attributes).forEach(([key, value]) => {
element.setAttribute(key, value)
})
}
if (classes) {
classes.forEach(className => element.classList.add(className))
}
if (text) {
element.appendChild(document.createTextNode(text))
}
return element
this.selectEntry(this.activeModel)
}
/**
@ -582,7 +525,7 @@ class ModelDropdown
* @returns {HTMLElement}
*/
createModelNodeList(folderName, modelTree, isRootFolder) {
const listElement = this.createElement('ul')
const listElement = createElement('ul')
const foldersMap = new Map()
const modelsMap = new Map()
@ -607,7 +550,15 @@ class ModelDropdown
const fullPath = folderName ? `${folderName.substring(1)}/${model}` : model
modelsMap.set(
model,
this.createElement('li', { 'data-path': fullPath }, classes, model),
createElement(
'li',
{ 'data-path': fullPath },
classes,
[
createElement('i', undefined, ['fa-regular', 'fa-file', 'icon']),
model,
],
),
)
}
})
@ -621,10 +572,21 @@ class ModelDropdown
const modelElements = modelNames.map(name => modelsMap.get(name))
if (modelElements.length && folderName) {
listElement.appendChild(this.createElement('li', undefined, ['model-folder'], folderName))
listElement.appendChild(
createElement(
'li',
undefined,
['model-folder'],
[
createElement('i', undefined, ['fa-regular', 'fa-folder-open', 'icon']),
folderName.substring(1),
],
)
)
}
const allModelElements = isRootFolder ? [...folderElements, ...modelElements] : [...modelElements, ...folderElements]
// const allModelElements = isRootFolder ? [...folderElements, ...modelElements] : [...modelElements, ...folderElements]
const allModelElements = [...modelElements, ...folderElements]
allModelElements.forEach(e => listElement.appendChild(e))
return listElement
}
@ -634,13 +596,13 @@ class ModelDropdown
* @returns {HTMLElement}
*/
createRootModelList(modelTree) {
const rootList = this.createElement(
const rootList = createElement(
'ul',
{ id: `${this.modelFilter.id}-model-list` },
['model-list'],
)
rootList.appendChild(
this.createElement(
createElement(
'li',
{ id: `${this.modelFilter.id}-model-no-result` },
['model-no-result'],
@ -650,7 +612,7 @@ class ModelDropdown
if (this.noneEntry) {
rootList.appendChild(
this.createElement(
createElement(
'li',
{ 'data-path': '' },
['model-file', 'in-root-folder'],
@ -659,13 +621,16 @@ class ModelDropdown
)
}
const containerListItem = this.createElement(
'li',
{ id: `${this.modelFilter.id}-model-result` },
['model-result'],
)
containerListItem.appendChild(this.createModelNodeList(undefined, modelTree, true))
rootList.appendChild(containerListItem)
if (modelTree.length > 0) {
const containerListItem = createElement(
'li',
{ id: `${this.modelFilter.id}-model-result` },
['model-result'],
)
//console.log(containerListItem)
containerListItem.appendChild(this.createModelNodeList(undefined, modelTree, true))
rootList.appendChild(containerListItem)
}
return rootList
}

34
ui/media/js/utils.js
View File

@ -509,6 +509,9 @@ function makeQuerablePromise(promise) {
/* inserts custom html to allow prettifying of inputs */
function prettifyInputs(root_element) {
root_element.querySelectorAll(`input[type="checkbox"]`).forEach(element => {
if (element.style.display === "none") {
return
}
var parent = element.parentNode;
if (!parent.classList.contains("input-toggle")) {
var wrapper = document.createElement("div");
@ -674,3 +677,34 @@ class ServiceContainer {
return typeof definition === 'function'
}
}
/**
*
* @param {string} tag
* @param {object} attributes
* @param {string | Array<string>} classes
* @param {string | HTMLElement | Array<string | HTMLElement>}
* @returns {HTMLElement}
*/
function createElement(tagName, attributes, classes, textOrElements) {
const element = document.createElement(tagName)
if (attributes) {
Object.entries(attributes).forEach(([key, value]) => {
element.setAttribute(key, value)
});
}
if (classes) {
(Array.isArray(classes) ? classes : [classes]).forEach(className => element.classList.add(className))
}
if (textOrElements) {
const children = Array.isArray(textOrElements) ? textOrElements : [textOrElements]
children.forEach(textOrElem => {
if (textOrElem instanceof HTMLElement) {
element.appendChild(textOrElem)
} else {
element.appendChild(document.createTextNode(textOrElem))
}
})
}
return element
}

25
ui/plugins/ui/Autoscroll.plugin.js
View File

@ -1,28 +1,8 @@
(function () {
"use strict"
var styleSheet = document.createElement("style");
styleSheet.textContent = `
.auto-scroll {
float: right;
}
`;
document.head.appendChild(styleSheet);
const autoScrollControl = document.createElement('div');
autoScrollControl.innerHTML = `<input id="auto_scroll" name="auto_scroll" type="checkbox">
<label for="auto_scroll">Scroll to generated image</label>`
autoScrollControl.className = "auto-scroll"
clearAllPreviewsBtn.parentNode.insertBefore(autoScrollControl, clearAllPreviewsBtn.nextSibling)
prettifyInputs(document);
let autoScroll = document.querySelector("#auto_scroll")
// save/restore the toggle state
autoScroll.addEventListener('click', (e) => {
localStorage.setItem('auto_scroll', autoScroll.checked)
})
autoScroll.checked = localStorage.getItem('auto_scroll') == "true"
// observe for changes in the preview pane
var observer = new MutationObserver(function (mutations) {
mutations.forEach(function (mutation) {
@ -39,7 +19,10 @@
function Autoscroll(target) {
if (autoScroll.checked && target !== null) {
target.parentElement.parentElement.parentElement.scrollIntoView();
const img = target.querySelector('img')
img.addEventListener('load', function() {
img.closest('.imageTaskContainer').scrollIntoView()
}, { once: true })
}
}
})()

0
ui/plugins/ui/Put UI plugins here (developer team only).txt → ui/plugins/ui/DO NOT PLACE USER PLUGINS HERE, unless you are a developer.txt
View File

44
ui/plugins/ui/Modifiers-wheel.plugin.js
View File

@ -1,4 +1,8 @@
(function () { "use strict"
(function () {
"use strict"
const MAX_WEIGHT = 5
if (typeof editorModifierTagsList !== 'object') {
console.error('editorModifierTagsList missing...')
return
@ -26,35 +30,55 @@
const delta = Math.sign(event.deltaY)
let s = i.parentElement.getElementsByClassName('modifier-card-label')[0].getElementsByTagName("p")[0].innerText
let t
// find the corresponding tag
for (let it = 0; it < overlays.length; it++) {
if (i == overlays[it]) {
t = activeTags[it].name
break
}
}
if (s.charAt(0) !== '(' && s.charAt(s.length - 1) !== ')' && s.trim().includes(' ')) {
s = '(' + s + ')'
t = '(' + t + ')'
}
if (delta < 0) {
// wheel scrolling up
if (s.substring(0, 1) == '[' && s.substring(s.length-1) == ']') {
s = s.substring(1, s.length - 1)
if (s.substring(s.length - 1) == '-') {
s = s.substring(0, s.length - 1)
t = t.substring(0, t.length - 1)
}
else
{
if (s.substring(0, 10) !== '('.repeat(10) && s.substring(s.length-10) !== ')'.repeat(10)) {
s = '(' + s + ')'
if (s.substring(s.length - MAX_WEIGHT) !== '+'.repeat(MAX_WEIGHT)) {
s = s + '+'
t = t + '+'
}
}
}
else{
// wheel scrolling down
if (s.substring(0, 1) == '(' && s.substring(s.length-1) == ')') {
s = s.substring(1, s.length - 1)
if (s.substring(s.length - 1) == '+') {
s = s.substring(0, s.length - 1)
t = t.substring(0, t.length - 1)
}
else
{
if (s.substring(0, 10) !== '['.repeat(10) && s.substring(s.length-10) !== ']'.repeat(10)) {
s = '[' + s + ']'
if (s.substring(s.length - MAX_WEIGHT) !== '-'.repeat(MAX_WEIGHT)) {
s = s + '-'
t = t + '-'
}
}
}
if (s.charAt(0) === '(' && s.charAt(s.length - 1) === ')') {
s = s.substring(1, s.length - 1)
t = t.substring(1, t.length - 1)
}
i.parentElement.getElementsByClassName('modifier-card-label')[0].getElementsByTagName("p")[0].innerText = s
// update activeTags
for (let it = 0; it < overlays.length; it++) {
if (i == overlays[it]) {
activeTags[it].name = s
activeTags[it].name = t
break
}
}

6
ui/plugins/ui/merge.plugin.js
View File

@ -134,7 +134,7 @@
/////////////////////// Tab implementation
document.querySelector('.tab-container')?.insertAdjacentHTML('beforeend', `
<span id="tab-merge" class="tab">
<span><i class="fa fa-code-merge icon"></i> Merge models <small>(beta)</small></span>
<span><i class="fa fa-code-merge icon"></i> Merge models</span>
</span>
`)
@ -367,8 +367,8 @@
document.querySelector('#merge-button').addEventListener('click', async function(e) {
// Build request template
let model0 = document.querySelector('#mergeModelA').value
let model1 = document.querySelector('#mergeModelB').value
let model0 = mergeModelAField.value
let model1 = mergeModelBField.value
let request = { model0: model0, model1: model1 }
request['use_fp16'] = document.querySelector('#merge-fp').value == 'fp16'
let iterations = document.querySelector('#merge-count').value>>0

2
ui/plugins/ui/modifiers-toggle.plugin.js
View File

@ -40,7 +40,7 @@
// refresh activeTags
let modifierName = i.parentElement.getElementsByClassName('modifier-card-label')[0].getElementsByTagName("p")[0].dataset.fullName
activeTags = activeTags.map(obj => {
if (obj.name === modifierName) {
if (trimModifiers(obj.name) === trimModifiers(modifierName)) {
return {...obj, inactive: (obj.element.classList.contains('modifier-toggle-inactive'))};
}