forked from extern/easydiffusion
Face Correction (GFPGAN) and Upscaling (RealESRGAN)
GFPGAN and RealESRGAN
This commit is contained in:
cmdr2
GitHub
commit
813e65e586
40
CONTRIBUTING.md
Normal file
40
CONTRIBUTING.md
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@ -0,0 +1,40 @@
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Hi there, these instructions are meant for the developers of this project.
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If you only want to use the Stable Diffusion UI, you've downloaded the wrong file. In that case, please download and follow the instructions at https://github.com/cmdr2/stable-diffusion-ui#installation
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Thanks
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# For developers:
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If you would like to contribute to this project, there is a discord for dicussion:
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[](https://discord.com/invite/u9yhsFmEkB)
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## Development environment for UI (frontend and server) changes
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This is in-flux, but one way to get a development environment running for editing the UI of this project is:
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(swap `.sh` or `.bat` in instructions depending on your environment, and be sure to adjust any paths to match where you're working)
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1) `git clone` the repository, e.g. to `/projects/stable-diffusion-ui-repo`
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2) Download the pre-built end user archive from the link on github, and extract it, e.g. to `/projects/stable-diffusion-ui-archive`
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3) `cd /projects/stable-diffusion-ui-archive` and run the script to set up and start the project, e.g. `start.sh`
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4) Check you can view and generate images on `localhost:9000`
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5) Close the server, and edit `/projects/stable-diffusion-ui-archive/scripts/on_env_start.sh`
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6) Comment out the line near the bottom that copies the `files/ui` folder, e.g. `cp -Rf sd-ui-files/ui ui` for `.sh` or `@xcopy sd-ui-files\ui ui /s /i /Y` for `.bat`
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7) Delete the current `ui` folder at `/projects/stable-diffusion-ui-archive/ui`
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8) Now make a symlink between the repository clone (where you will be making changes) and this archive (where you will be running stable diffusion):
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`ln -s /projects/stable-diffusion-ui-repo/ui /projects/stable-diffusion-ui-archive/ui`
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or for Windows
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`mklink /D \projects\stable-diffusion-ui-archive\ui \projects\stable-diffusion-ui-repo\ui` (link name first, source repo dir second)
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9) Run the archive again `start.sh` and ensure you can still use the UI.
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10) Congrats, now any changes you make in your repo `ui` folder are linked to this running archive of the app and can be previewed in the browser.
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Check the `ui/frontend/build/README.md` for instructions on running and building the React code.
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## Development environment for Installer changes
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Build the Windows installer using Windows, and the Linux installer using Linux. Don't mix the two, and don't use WSL. An Ubuntu VM is fine for building the Linux installer on a Windows host.
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1. Install Miniconda 3 or Anaconda.
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2. Install `conda install -c conda-forge -y conda-pack`
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3. Open the Anaconda Prompt. Do not use WSL if you're building for Windows.
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4. Run `build.bat` or `./build.sh` depending on whether you're in Windows or Linux.
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5. Compress the `stable-diffusion-ui` folder created inside the `dist` folder. Make a `zip` for Windows, and `tar.xz` for Linux (smaller files, and Linux users already have tar).
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6. Make a new GitHub release and upload the Windows and Linux installer builds.
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@ -1,3 +1,5 @@
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#!/bin/bash
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printf "\n\nStable Diffusion UI\n\n"
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if [ -f "scripts/config.sh" ]; then
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@ -2,6 +2,9 @@
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@copy sd-ui-files\scripts\on_env_start.bat scripts\ /Y
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@REM Caution, this file will make your eyes and brain bleed. It's such an unholy mess.
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@REM Note to self: Please rewrite this in Python. For the sake of your own sanity.
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@call python -c "import os; import shutil; frm = 'sd-ui-files\\ui\\hotfix\\9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'; dst = os.path.join(os.path.expanduser('~'), '.cache', 'huggingface', 'transformers', '9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'); shutil.copyfile(frm, dst); print('Hotfixed broken JSON file from OpenAI');"
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@>nul grep -c "sd_git_cloned" scripts\install_status.txt
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@ -60,6 +63,48 @@
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@echo conda_sd_env_created >> ..\scripts\install_status.txt
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)
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@>nul grep -c "conda_sd_gfpgan_deps_installed" ..\scripts\install_status.txt
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@if "%ERRORLEVEL%" EQU "0" (
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@echo "Packages necessary for GFPGAN (Face Correction) were already installed"
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) else (
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@echo. & echo "Downloading packages necessary for GFPGAN (Face Correction).." & echo.
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@call pip install -e git+https://github.com/TencentARC/GFPGAN#egg=GFPGAN || (
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@echo. & echo "Error installing the packages necessary for GFPGAN (Face Correction). 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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
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for /f "tokens=*" %%a in ('python -c "from gfpgan import GFPGANer; print(42)"') do if "%%a" NEQ "42" (
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@echo. & echo "Dependency test failed! Error installing the packages necessary for GFPGAN (Face Correction). 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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
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@echo conda_sd_gfpgan_deps_installed >> ..\scripts\install_status.txt
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)
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@>nul grep -c "conda_sd_esrgan_deps_installed" ..\scripts\install_status.txt
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@if "%ERRORLEVEL%" EQU "0" (
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@echo "Packages necessary for ESRGAN (Resolution Upscaling) were already installed"
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) else (
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@echo. & echo "Downloading packages necessary for ESRGAN (Resolution Upscaling).." & echo.
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@call pip install -e git+https://github.com/xinntao/Real-ESRGAN#egg=realesrgan || (
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@echo. & echo "Error installing the packages necessary for ESRGAN (Resolution Upscaling). 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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
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for /f "tokens=*" %%a in ('python -c "from basicsr.archs.rrdbnet_arch import RRDBNet; from realesrgan import RealESRGANer; print(42)"') do if "%%a" NEQ "42" (
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@echo. & echo "Dependency test failed! Error installing the packages necessary for ESRGAN (Resolution Upscaling). 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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
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@echo conda_sd_esrgan_deps_installed >> ..\scripts\install_status.txt
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)
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@>nul grep -c "conda_sd_ui_deps_installed" ..\scripts\install_status.txt
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@if "%ERRORLEVEL%" EQU "0" (
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echo "Packages necessary for Stable Diffusion UI were already installed"
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@ -86,6 +131,8 @@ call WHERE uvicorn > .tmp
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@echo conda_sd_ui_deps_installed >> ..\scripts\install_status.txt
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)
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@if exist "sd-v1-4.ckpt" (
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for %%I in ("sd-v1-4.ckpt") do if "%%~zI" EQU "4265380512" (
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echo "Data files (weights) necessary for Stable Diffusion were already downloaded"
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@ -114,6 +161,98 @@ call WHERE uvicorn > .tmp
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)
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)
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@if exist "GFPGANv1.3.pth" (
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for %%I in ("GFPGANv1.3.pth") do if "%%~zI" EQU "348632874" (
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echo "Data files (weights) necessary for GFPGAN (Face Correction) were already downloaded"
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) else (
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echo. & echo "The GFPGAN model file present at %cd%\GFPGANv1.3.pth is invalid. It is only %%~zI bytes in size. Re-downloading.." & echo.
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del "GFPGANv1.3.pth"
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)
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)
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@if not exist "GFPGANv1.3.pth" (
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@echo. & echo "Downloading data files (weights) for GFPGAN (Face Correction).." & echo.
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@call curl -L -k https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth > GFPGANv1.3.pth
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@if exist "GFPGANv1.3.pth" (
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for %%I in ("GFPGANv1.3.pth") do if "%%~zI" NEQ "348632874" (
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echo. & echo "Error: The downloaded GFPGAN model file was invalid! Bytes downloaded: %%~zI" & echo.
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echo. & echo "Error downloading the data files (weights) for GFPGAN (Face Correction). 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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
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) else (
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@echo. & echo "Error downloading the data files (weights) for GFPGAN (Face Correction). 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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
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)
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@if exist "RealESRGAN_x4plus.pth" (
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for %%I in ("RealESRGAN_x4plus.pth") do if "%%~zI" EQU "67040989" (
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echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus were already downloaded"
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) else (
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echo. & echo "The GFPGAN model file present at %cd%\RealESRGAN_x4plus.pth is invalid. It is only %%~zI bytes in size. Re-downloading.." & echo.
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del "RealESRGAN_x4plus.pth"
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)
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)
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@if not exist "RealESRGAN_x4plus.pth" (
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@echo. & echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus.." & echo.
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@call curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth > RealESRGAN_x4plus.pth
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@if exist "RealESRGAN_x4plus.pth" (
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for %%I in ("RealESRGAN_x4plus.pth") do if "%%~zI" NEQ "67040989" (
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echo. & echo "Error: The downloaded ESRGAN x4plus model file was invalid! Bytes downloaded: %%~zI" & echo.
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echo. & echo "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus. 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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
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) else (
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@echo. & echo "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus. 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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
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)
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@if exist "RealESRGAN_x4plus_anime_6B.pth" (
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for %%I in ("RealESRGAN_x4plus_anime_6B.pth") do if "%%~zI" EQU "17938799" (
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echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus_anime were already downloaded"
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) else (
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echo. & echo "The GFPGAN model file present at %cd%\RealESRGAN_x4plus_anime_6B.pth is invalid. It is only %%~zI bytes in size. Re-downloading.." & echo.
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del "RealESRGAN_x4plus_anime_6B.pth"
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)
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)
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@if not exist "RealESRGAN_x4plus_anime_6B.pth" (
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@echo. & echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime.." & echo.
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@call curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth > RealESRGAN_x4plus_anime_6B.pth
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@if exist "RealESRGAN_x4plus_anime_6B.pth" (
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for %%I in ("RealESRGAN_x4plus_anime_6B.pth") do if "%%~zI" NEQ "17938799" (
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echo. & echo "Error: The downloaded ESRGAN x4plus_anime model file was invalid! Bytes downloaded: %%~zI" & echo.
|
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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/blob/main/Troubleshooting.md" & 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.
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pause
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exit /b
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)
|
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) else (
|
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@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/blob/main/Troubleshooting.md" & 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.
|
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pause
|
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exit /b
|
||||
)
|
||||
)
|
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|
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|
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|
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@>nul grep -c "sd_install_complete" ..\scripts\install_status.txt
|
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@if "%ERRORLEVEL%" NEQ "0" (
|
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@echo sd_weights_downloaded >> ..\scripts\install_status.txt
|
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@ -1,9 +1,14 @@
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#!/bin/bash
|
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|
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cp sd-ui-files/scripts/on_env_start.sh scripts/
|
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|
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source installer/etc/profile.d/conda.sh
|
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|
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python -c "import os; import shutil; frm = 'sd-ui-files/ui/hotfix/9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'; dst = os.path.join(os.path.expanduser('~'), '.cache', 'huggingface', 'transformers', '9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'); shutil.copyfile(frm, dst); print('Hotfixed broken JSON file from OpenAI');"
|
||||
|
||||
# Caution, this file will make your eyes and brain bleed. It's such an unholy mess.
|
||||
# Note to self: Please rewrite this in Python. For the sake of your own sanity.
|
||||
|
||||
if [ -e "scripts/install_status.txt" ] && [ `grep -c sd_git_cloned scripts/install_status.txt` -gt "0" ]; then
|
||||
echo "Stable Diffusion's git repository was already installed. Updating.."
|
||||
|
||||
@ -60,6 +65,52 @@ else
|
||||
echo conda_sd_env_created >> ../scripts/install_status.txt
|
||||
fi
|
||||
|
||||
if [ `grep -c conda_sd_gfpgan_deps_installed ../scripts/install_status.txt` -gt "0" ]; then
|
||||
echo "Packages necessary for GFPGAN (Face Correction) were already installed"
|
||||
else
|
||||
printf "\n\nDownloading packages necessary for GFPGAN (Face Correction)..\n"
|
||||
|
||||
if pip install -e git+https://github.com/TencentARC/GFPGAN#egg=GFPGAN ; then
|
||||
echo "Installed. Testing.."
|
||||
else
|
||||
printf "\n\nError installing the packages necessary for GFPGAN (Face Correction). Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
|
||||
out_test=`python -c "from gfpgan import GFPGANer; print(42)"`
|
||||
if [ "$out_test" != "42" ]; then
|
||||
printf "\n\nDependency test failed! Error installing the packages necessary for GFPGAN (Face Correction). Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
|
||||
echo conda_sd_gfpgan_deps_installed >> ../scripts/install_status.txt
|
||||
fi
|
||||
|
||||
if [ `grep -c conda_sd_esrgan_deps_installed ../scripts/install_status.txt` -gt "0" ]; then
|
||||
echo "Packages necessary for ESRGAN (Resolution Upscaling) were already installed"
|
||||
else
|
||||
printf "\n\nDownloading packages necessary for ESRGAN (Resolution Upscaling)..\n"
|
||||
|
||||
if pip install -e git+https://github.com/xinntao/Real-ESRGAN#egg=realesrgan ; then
|
||||
echo "Installed. Testing.."
|
||||
else
|
||||
printf "\n\nError installing the packages necessary for ESRGAN (Resolution Upscaling). Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
|
||||
out_test=`python -c "from basicsr.archs.rrdbnet_arch import RRDBNet; from realesrgan import RealESRGANer; print(42)"`
|
||||
if [ "$out_test" != "42" ]; then
|
||||
printf "\n\nDependency test failed! Error installing the packages necessary for ESRGAN (Resolution Upscaling). Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
|
||||
echo conda_sd_esrgan_deps_installed >> ../scripts/install_status.txt
|
||||
fi
|
||||
|
||||
if [ `grep -c conda_sd_ui_deps_installed ../scripts/install_status.txt` -gt "0" ]; then
|
||||
echo "Packages necessary for Stable Diffusion UI were already installed"
|
||||
else
|
||||
@ -82,6 +133,8 @@ else
|
||||
echo conda_sd_ui_deps_installed >> ../scripts/install_status.txt
|
||||
fi
|
||||
|
||||
|
||||
|
||||
if [ -f "sd-v1-4.ckpt" ]; then
|
||||
model_size=`ls -l sd-v1-4.ckpt | awk '{print $5}'`
|
||||
|
||||
@ -111,7 +164,106 @@ if [ ! -f "sd-v1-4.ckpt" ]; then
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
fi
|
||||
|
||||
|
||||
if [ -f "GFPGANv1.3.pth" ]; then
|
||||
model_size=`ls -l GFPGANv1.3.pth | awk '{print $5}'`
|
||||
|
||||
if [ "$model_size" -eq "348632874" ]; then
|
||||
echo "Data files (weights) necessary for GFPGAN (Face Correction) were already downloaded"
|
||||
else
|
||||
printf "\n\nThe model file present at $PWD/GFPGANv1.3.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
|
||||
rm GFPGANv1.3.pth
|
||||
fi
|
||||
fi
|
||||
|
||||
if [ ! -f "GFPGANv1.3.pth" ]; then
|
||||
echo "Downloading data files (weights) for GFPGAN (Face Correction).."
|
||||
|
||||
curl -L -k https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth > GFPGANv1.3.pth
|
||||
|
||||
if [ -f "GFPGANv1.3.pth" ]; then
|
||||
model_size=`ls -l GFPGANv1.3.pth | awk '{print $5}'`
|
||||
if [ ! "$model_size" -eq "348632874" ]; then
|
||||
printf "\n\nError: The downloaded GFPGAN model file was invalid! Bytes downloaded: $model_size\n\n"
|
||||
printf "\n\nError downloading the data files (weights) for GFPGAN (Face Correction). Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
else
|
||||
printf "\n\nError downloading the data files (weights) for GFPGAN (Face Correction). Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
fi
|
||||
|
||||
|
||||
if [ -f "RealESRGAN_x4plus.pth" ]; then
|
||||
model_size=`ls -l RealESRGAN_x4plus.pth | awk '{print $5}'`
|
||||
|
||||
if [ "$model_size" -eq "67040989" ]; then
|
||||
echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus were already downloaded"
|
||||
else
|
||||
printf "\n\nThe model file present at $PWD/RealESRGAN_x4plus.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
|
||||
rm RealESRGAN_x4plus.pth
|
||||
fi
|
||||
fi
|
||||
|
||||
if [ ! -f "RealESRGAN_x4plus.pth" ]; then
|
||||
echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus.."
|
||||
|
||||
curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth > RealESRGAN_x4plus.pth
|
||||
|
||||
if [ -f "RealESRGAN_x4plus.pth" ]; then
|
||||
model_size=`ls -l RealESRGAN_x4plus.pth | awk '{print $5}'`
|
||||
if [ ! "$model_size" -eq "67040989" ]; then
|
||||
printf "\n\nError: The downloaded ESRGAN x4plus model file was invalid! Bytes downloaded: $model_size\n\n"
|
||||
printf "\n\nError downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus. Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
else
|
||||
printf "\n\nError downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus. Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
fi
|
||||
|
||||
|
||||
if [ -f "RealESRGAN_x4plus_anime_6B.pth" ]; then
|
||||
model_size=`ls -l RealESRGAN_x4plus_anime_6B.pth | awk '{print $5}'`
|
||||
|
||||
if [ "$model_size" -eq "17938799" ]; then
|
||||
echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus_anime were already downloaded"
|
||||
else
|
||||
printf "\n\nThe model file present at $PWD/RealESRGAN_x4plus_anime_6B.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
|
||||
rm RealESRGAN_x4plus_anime_6B.pth
|
||||
fi
|
||||
fi
|
||||
|
||||
if [ ! -f "RealESRGAN_x4plus_anime_6B.pth" ]; then
|
||||
echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime.."
|
||||
|
||||
curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth > RealESRGAN_x4plus_anime_6B.pth
|
||||
|
||||
if [ -f "RealESRGAN_x4plus_anime_6B.pth" ]; then
|
||||
model_size=`ls -l RealESRGAN_x4plus_anime_6B.pth | awk '{print $5}'`
|
||||
if [ ! "$model_size" -eq "17938799" ]; then
|
||||
printf "\n\nError: The downloaded ESRGAN x4plus_anime model file was invalid! Bytes downloaded: $model_size\n\n"
|
||||
printf "\n\nError downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime. Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
else
|
||||
printf "\n\nError downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime. Sorry about that, please try to:\n 1. Run this installer again.\n 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/blob/main/Troubleshooting.md\n 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\n 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
|
||||
read -p "Press any key to continue"
|
||||
exit
|
||||
fi
|
||||
fi
|
||||
|
||||
|
||||
if [ `grep -c sd_install_complete ../scripts/install_status.txt` -gt "0" ]; then
|
||||
echo sd_weights_downloaded >> ../scripts/install_status.txt
|
||||
echo sd_install_complete >> ../scripts/install_status.txt
|
||||
fi
|
||||
|
||||
@ -1,3 +1,5 @@
|
||||
#!/bin/bash
|
||||
|
||||
conda-unpack
|
||||
|
||||
source $CONDA_PREFIX/etc/profile.d/conda.sh
|
||||
|
||||
@ -1,3 +1,5 @@
|
||||
#!/bin/bash
|
||||
|
||||
source installer/bin/activate
|
||||
|
||||
conda-unpack
|
||||
|
||||
@ -269,7 +269,7 @@
|
||||
<div id="server-status-color"> </div>
|
||||
<span id="server-status-msg">Stable Diffusion is starting..</span>
|
||||
</div>
|
||||
<h1>Stable Diffusion UI <small>v2.09</small></h1>
|
||||
<h1>Stable Diffusion UI <small>v2.1 <span id="updateBranchLabel"></span></small></h1>
|
||||
</div>
|
||||
<div id="editor-inputs">
|
||||
<div id="editor-inputs-prompt" class="row">
|
||||
@ -299,6 +299,16 @@
|
||||
<div id="editor-settings" class="panel-box">
|
||||
<h4 class="collapsible">Advanced Settings</h4>
|
||||
<ul id="editor-settings-entries" class="collapsible-content">
|
||||
<li><input id="use_face_correction" name="use_face_correction" type="checkbox" checked> <label for="use_face_correction">Fix incorrect faces and eyes (uses GFPGAN)</label></li>
|
||||
<li>
|
||||
<input id="use_upscale" name="use_upscale" type="checkbox"> <label for="use_upscale">Upscale the image to 4x resolution using </label>
|
||||
<select id="upscale_model" name="upscale_model">
|
||||
<option value="RealESRGAN_x4plus" selected>RealESRGAN_x4plus</option>
|
||||
<option value="RealESRGAN_x4plus_anime_6B">RealESRGAN_x4plus_anime_6B</option>
|
||||
</select>
|
||||
</li>
|
||||
<li><input id="show_only_filtered_image" name="show_only_filtered_image" type="checkbox" checked> <label for="show_only_filtered_image">Show only the corrected/upscaled image</label></li>
|
||||
<br/>
|
||||
<li><label for="seed">Seed:</label> <input id="seed" name="seed" size="10" value="30000"> <input id="random_seed" name="random_seed" type="checkbox" checked> <label for="random_seed">Random Image</label></li>
|
||||
<li><label for="num_outputs_total">Number of images to make:</label> <input id="num_outputs_total" name="num_outputs_total" value="1" size="4"> <label for="num_outputs_parallel">Generate in parallel:</label> <input id="num_outputs_parallel" name="num_outputs_parallel" value="1" size="4"> (images at once)</li>
|
||||
<li><label for="width">Width:</label>
|
||||
@ -393,6 +403,9 @@ const USE_TURBO_MODE_KEY = "useTurboMode"
|
||||
const DISK_PATH_KEY = "diskPath"
|
||||
const ADVANCED_PANEL_OPEN_KEY = "advancedPanelOpen"
|
||||
const MODIFIERS_PANEL_OPEN_KEY = "modifiersPanelOpen"
|
||||
const USE_FACE_CORRECTION_KEY = "useFaceCorrection"
|
||||
const USE_UPSCALING_KEY = "useUpscaling"
|
||||
const SHOW_ONLY_FILTERED_IMAGE_KEY = "showOnlyFilteredImage"
|
||||
const HEALTH_PING_INTERVAL = 5 // seconds
|
||||
const MAX_INIT_IMAGE_DIMENSION = 768
|
||||
|
||||
@ -421,6 +434,11 @@ let diskPathField = document.querySelector('#diskPath')
|
||||
let useBetaChannelField = document.querySelector("#use_beta_channel")
|
||||
let promptStrengthField = document.querySelector('#prompt_strength')
|
||||
let promptStrengthValueLabel = document.querySelector('#prompt_strength_value')
|
||||
let useFaceCorrectionField = document.querySelector("#use_face_correction")
|
||||
let useUpscalingField = document.querySelector("#use_upscale")
|
||||
let upscaleModelField = document.querySelector("#upscale_model")
|
||||
let showOnlyFilteredImageField = document.querySelector("#show_only_filtered_image")
|
||||
let updateBranchLabel = document.querySelector("#updateBranchLabel")
|
||||
|
||||
let makeImageBtn = document.querySelector('#makeImage')
|
||||
|
||||
@ -489,6 +507,18 @@ function isSoundEnabled() {
|
||||
return getLocalStorageBoolItem(SOUND_ENABLED_KEY, true)
|
||||
}
|
||||
|
||||
function isFaceCorrectionEnabled() {
|
||||
return getLocalStorageBoolItem(USE_FACE_CORRECTION_KEY, false)
|
||||
}
|
||||
|
||||
function isUpscalingEnabled() {
|
||||
return getLocalStorageBoolItem(USE_UPSCALING_KEY, false)
|
||||
}
|
||||
|
||||
function isShowOnlyFilteredImageEnabled() {
|
||||
return getLocalStorageBoolItem(SHOW_ONLY_FILTERED_IMAGE_KEY, true)
|
||||
}
|
||||
|
||||
function isSaveToDiskEnabled() {
|
||||
return getLocalStorageBoolItem(SAVE_TO_DISK_KEY, false)
|
||||
}
|
||||
@ -744,7 +774,7 @@ async function makeImage() {
|
||||
makeImageBtn.innerHTML = 'Processing..'
|
||||
makeImageBtn.disabled = true
|
||||
|
||||
let seed = (randomSeedField.checked ? Math.floor(Math.random() * 10000) : parseInt(seedField.value))
|
||||
let seed = (randomSeedField.checked ? Math.floor(Math.random() * 10000000) : parseInt(seedField.value))
|
||||
let numOutputsTotal = parseInt(numOutputsTotalField.value)
|
||||
let numOutputsParallel = parseInt(numOutputsParallelField.value)
|
||||
let batchCount = Math.ceil(numOutputsTotal / numOutputsParallel)
|
||||
@ -784,13 +814,25 @@ async function makeImage() {
|
||||
reqBody['save_to_disk_path'] = diskPathField.value.trim()
|
||||
}
|
||||
|
||||
if (useFaceCorrectionField.checked) {
|
||||
reqBody['use_face_correction'] = 'GFPGANv1.3'
|
||||
}
|
||||
|
||||
if (useUpscalingField.checked) {
|
||||
reqBody['use_upscale'] = upscaleModelField.value
|
||||
}
|
||||
|
||||
if (showOnlyFilteredImageField.checked && (useUpscalingField.checked || useFaceCorrectionField.checked)) {
|
||||
reqBody['show_only_filtered_image'] = showOnlyFilteredImageField.checked
|
||||
}
|
||||
|
||||
let time = new Date().getTime()
|
||||
imagesContainer.innerHTML = ''
|
||||
|
||||
let successCount = 0
|
||||
|
||||
for (let i = 0; i < batchCount; i++) {
|
||||
reqBody['seed'] = seed + i
|
||||
reqBody['seed'] = seed + (i * batchSize)
|
||||
|
||||
let success = await doMakeImage(reqBody)
|
||||
|
||||
@ -826,13 +868,14 @@ async function makeImage() {
|
||||
function createFileName() {
|
||||
|
||||
// Most important information is the prompt
|
||||
const underscoreName = lastPromptUsed.replace(/[^a-zA-Z0-9]/g, '_');
|
||||
let underscoreName = lastPromptUsed.replace(/[^a-zA-Z0-9]/g, '_')
|
||||
underscoreName = underscoreName.substring(0, 100)
|
||||
const seed = seedField.value;
|
||||
const steps = numInferenceStepsField.value;
|
||||
const guidance = guidanceScaleField.value;
|
||||
|
||||
// name and the top level metadata
|
||||
let fileName = `sd_${underscoreName}_Seed-${seed}_Steps-${steps}_Guidance-${guidance}`;
|
||||
let fileName = `${underscoreName}_Seed-${seed}_Steps-${steps}_Guidance-${guidance}`
|
||||
|
||||
// add the tags
|
||||
// let tags = [];
|
||||
@ -851,9 +894,9 @@ function createFileName() {
|
||||
// fileName += `${tagString}`;
|
||||
|
||||
// add the file extension
|
||||
fileName += `.png`;
|
||||
fileName += `.png`
|
||||
|
||||
return fileName;
|
||||
return fileName
|
||||
}
|
||||
|
||||
|
||||
@ -863,6 +906,15 @@ soundToggle.checked = isSoundEnabled()
|
||||
saveToDiskField.checked = isSaveToDiskEnabled()
|
||||
diskPathField.disabled = !saveToDiskField.checked
|
||||
|
||||
useFaceCorrectionField.addEventListener('click', handleBoolSettingChange(USE_FACE_CORRECTION_KEY))
|
||||
useFaceCorrectionField.checked = isFaceCorrectionEnabled()
|
||||
|
||||
useUpscalingField.checked = isUpscalingEnabled()
|
||||
upscaleModelField.disabled = !useUpscalingField.checked
|
||||
|
||||
showOnlyFilteredImageField.addEventListener('click', handleBoolSettingChange(SHOW_ONLY_FILTERED_IMAGE_KEY))
|
||||
showOnlyFilteredImageField.checked = isShowOnlyFilteredImageEnabled()
|
||||
|
||||
useCPUField.addEventListener('click', handleBoolSettingChange(USE_CPU_KEY))
|
||||
useCPUField.checked = isUseCPUEnabled()
|
||||
|
||||
@ -879,6 +931,11 @@ saveToDiskField.addEventListener('click', function(e) {
|
||||
handleBoolSettingChange(SAVE_TO_DISK_KEY)(e)
|
||||
})
|
||||
|
||||
useUpscalingField.addEventListener('click', function(e) {
|
||||
upscaleModelField.disabled = !this.checked
|
||||
handleBoolSettingChange(USE_UPSCALING_KEY)(e)
|
||||
})
|
||||
|
||||
function setPanelOpen(panelHandle) {
|
||||
let panelContents = panelHandle.nextElementSibling
|
||||
panelHandle.classList.add('active')
|
||||
@ -945,6 +1002,7 @@ async function getAppConfig() {
|
||||
|
||||
if (config.update_branch === 'beta') {
|
||||
useBetaChannelField.checked = true
|
||||
updateBranchLabel.innerHTML = "(beta)"
|
||||
}
|
||||
|
||||
console.log('get config status response', config)
|
||||
@ -956,7 +1014,7 @@ async function getAppConfig() {
|
||||
function checkRandomSeed() {
|
||||
if (randomSeedField.checked) {
|
||||
seedField.disabled = true
|
||||
seedField.value = "random"
|
||||
seedField.value = "0"
|
||||
} else {
|
||||
seedField.disabled = false
|
||||
}
|
||||
@ -1184,6 +1242,8 @@ async function init() {
|
||||
|
||||
setInterval(healthCheck, HEALTH_PING_INTERVAL * 1000)
|
||||
healthCheck()
|
||||
|
||||
playSound()
|
||||
}
|
||||
|
||||
init()
|
||||
|
||||
@ -152,50 +152,74 @@
|
||||
"trending on Artstation",
|
||||
"by Agnes Lawrence Pelton",
|
||||
"by Akihito Yoshida",
|
||||
"by Alex Grey",
|
||||
"by Alexander Jansson",
|
||||
"by Alphonse Mucha",
|
||||
"by Andy Warhol",
|
||||
"by Artgerm",
|
||||
"by Asaf Hanuka",
|
||||
"by Aubrey Beardsley",
|
||||
"by Banksy",
|
||||
"by Beeple",
|
||||
"by Ben Enwonwu",
|
||||
"by Bob Eggleton",
|
||||
"by Caravaggio Michelangelo Merisi",
|
||||
"by Caspar David Friedrich",
|
||||
"by Chris Foss",
|
||||
"by Claude Monet",
|
||||
"by Dan Mumford",
|
||||
"by David Mann",
|
||||
"by Diego Velázquez",
|
||||
"by Disney Animation Studios",
|
||||
"by Édouard Manet",
|
||||
"by Esao Andrews",
|
||||
"by Frida Kahlo",
|
||||
"by Gediminas Pranckevicius",
|
||||
"by Georgia O'Keeffe",
|
||||
"by Greg Rutkowski",
|
||||
"by Gustave Doré",
|
||||
"by Gustave Klimt",
|
||||
"by H.R. Giger",
|
||||
"by Hayao Miyazaki",
|
||||
"by Henri Matisse",
|
||||
"by HP Lovecraft",
|
||||
"by Ivan Shishkin",
|
||||
"by Jack Kirby",
|
||||
"by Jackson Pollock",
|
||||
"by James Jean",
|
||||
"by Jim Burns",
|
||||
"by Johannes Vermeer",
|
||||
"by John William Waterhouse",
|
||||
"by Katsushika Hokusai",
|
||||
"by Ko Young Hoon",
|
||||
"by Leonardo da Vinci",
|
||||
"by Lisa Frank",
|
||||
"by M.C. Escher",
|
||||
"by Mahmoud Saïd",
|
||||
"by Makoto Shinkai",
|
||||
"by Marc Simonetti",
|
||||
"by Mark Brooks",
|
||||
"by Michelangelo",
|
||||
"by Paul Klee",
|
||||
"by Pablo Picasso",
|
||||
"by Paul Klee",
|
||||
"by Peter Mohrbacher",
|
||||
"by Pierre-Auguste Renoir",
|
||||
"by Pixar Animation Studios",
|
||||
"by Rembrandt",
|
||||
"by Richard Dadd",
|
||||
"by Rossdraws",
|
||||
"by Salvador Dalí",
|
||||
"by Sam Does Arts",
|
||||
"by Sandro Botticelli",
|
||||
"by Salvador Dalí",
|
||||
"by Tivadar Csontváry Kosztka",
|
||||
"by Ted Nasmith",
|
||||
"by Thomas Kinkade",
|
||||
"by Yoshitaka Amano",
|
||||
"by Tivadar Csontváry Kosztka",
|
||||
"by Victo Ngai",
|
||||
"by Vincent Di Fate",
|
||||
"by Vincent van Gogh",
|
||||
"by wlop"
|
||||
"by Wes Anderson",
|
||||
"by wlop",
|
||||
"by Yoshitaka Amano"
|
||||
]
|
||||
],
|
||||
[
|
||||
|
||||
@ -17,6 +17,9 @@ class Request:
|
||||
turbo: bool = True
|
||||
use_cpu: bool = False
|
||||
use_full_precision: bool = False
|
||||
use_face_correction: str = None # or "GFPGANv1.3"
|
||||
use_upscale: str = None # or "RealESRGAN_x4plus" or "RealESRGAN_x4plus_anime_6B"
|
||||
show_only_filtered_image: bool = False
|
||||
|
||||
def to_string(self):
|
||||
return f'''
|
||||
@ -30,7 +33,10 @@ class Request:
|
||||
save_to_disk_path: {self.save_to_disk_path}
|
||||
turbo: {self.turbo}
|
||||
use_cpu: {self.use_cpu}
|
||||
use_full_precision: {self.use_full_precision}'''
|
||||
use_full_precision: {self.use_full_precision}
|
||||
use_face_correction: {self.use_face_correction}
|
||||
use_upscale: {self.use_upscale}
|
||||
show_only_filtered_image: {self.show_only_filtered_image}'''
|
||||
|
||||
class Image:
|
||||
data: str # base64
|
||||
|
||||
@ -16,12 +16,17 @@ from ldm.util import instantiate_from_config
|
||||
from optimizedSD.optimUtils import split_weighted_subprompts
|
||||
from transformers import logging
|
||||
|
||||
from gfpgan import GFPGANer
|
||||
from basicsr.archs.rrdbnet_arch import RRDBNet
|
||||
from realesrgan import RealESRGANer
|
||||
|
||||
import uuid
|
||||
|
||||
logging.set_verbosity_error()
|
||||
|
||||
# consts
|
||||
config_yaml = "optimizedSD/v1-inference.yaml"
|
||||
filename_regex = re.compile('[^a-zA-Z0-9]')
|
||||
|
||||
# api stuff
|
||||
from . import Request, Response, Image as ResponseImage
|
||||
@ -31,10 +36,16 @@ from io import BytesIO
|
||||
# local
|
||||
session_id = str(uuid.uuid4())[-8:]
|
||||
|
||||
ckpt = None
|
||||
ckpt_file = None
|
||||
gfpgan_file = None
|
||||
real_esrgan_file = None
|
||||
|
||||
model = None
|
||||
modelCS = None
|
||||
modelFS = None
|
||||
model_gfpgan = None
|
||||
model_real_esrgan = None
|
||||
|
||||
model_is_half = False
|
||||
model_fs_is_half = False
|
||||
device = None
|
||||
@ -43,25 +54,30 @@ precision = 'autocast'
|
||||
sampler_plms = None
|
||||
sampler_ddim = None
|
||||
|
||||
has_valid_gpu = False
|
||||
force_full_precision = False
|
||||
try:
|
||||
gpu_name = torch.cuda.get_device_name(torch.cuda.current_device())
|
||||
force_full_precision = ('nvidia' in gpu_name.lower()) and (' 1660' in gpu_name or ' 1650' in gpu_name) # otherwise these NVIDIA cards create green images
|
||||
has_valid_gpu = True
|
||||
force_full_precision = ('nvidia' in gpu_name.lower()) and ('1660' in gpu_name or ' 1650' in gpu_name) # otherwise these NVIDIA cards create green images
|
||||
if force_full_precision:
|
||||
print('forcing full precision on NVIDIA 16xx cards, to avoid green images')
|
||||
print('forcing full precision on NVIDIA 16xx cards, to avoid green images. GPU detected: ', gpu_name)
|
||||
except:
|
||||
print('WARNING: No compatible GPU found. Using the CPU, but this will be very slow!')
|
||||
pass
|
||||
|
||||
# api
|
||||
def load_model(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_use=1, precision_to_use='autocast', half_model_fs=False):
|
||||
global ckpt, model, modelCS, modelFS, model_is_half, device, unet_bs, precision, model_fs_is_half
|
||||
def load_model_ckpt(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_use=1, precision_to_use='autocast', half_model_fs=False):
|
||||
global ckpt_file, model, modelCS, modelFS, model_is_half, device, unet_bs, precision, model_fs_is_half
|
||||
|
||||
ckpt = ckpt_to_use
|
||||
device = device_to_use
|
||||
ckpt_file = ckpt_to_use
|
||||
device = device_to_use if has_valid_gpu else 'cpu'
|
||||
precision = precision_to_use if not force_full_precision else 'full'
|
||||
unet_bs = unet_bs_to_use
|
||||
|
||||
sd = load_model_from_config(f"{ckpt}")
|
||||
if device == 'cpu':
|
||||
precision = 'full'
|
||||
|
||||
sd = load_model_from_config(f"{ckpt_file}.ckpt")
|
||||
li, lo = [], []
|
||||
for key, value in sd.items():
|
||||
sp = key.split(".")
|
||||
@ -111,20 +127,71 @@ def load_model(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_use=1,
|
||||
else:
|
||||
model_fs_is_half = False
|
||||
|
||||
print('loaded ', ckpt_file, 'to', device, 'precision', precision)
|
||||
|
||||
def load_model_gfpgan(gfpgan_to_use):
|
||||
global gfpgan_file, model_gfpgan
|
||||
|
||||
if gfpgan_to_use is None:
|
||||
return
|
||||
|
||||
gfpgan_file = gfpgan_to_use
|
||||
model_path = gfpgan_to_use + ".pth"
|
||||
|
||||
if device == 'cpu':
|
||||
model_gfpgan = GFPGANer(model_path=model_path, upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None, device=torch.device('cpu'))
|
||||
else:
|
||||
model_gfpgan = GFPGANer(model_path=model_path, upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None, device=torch.device('cuda'))
|
||||
|
||||
print('loaded ', gfpgan_to_use, 'to', device, 'precision', precision)
|
||||
|
||||
def load_model_real_esrgan(real_esrgan_to_use):
|
||||
global real_esrgan_file, model_real_esrgan
|
||||
|
||||
if real_esrgan_to_use is None:
|
||||
return
|
||||
|
||||
real_esrgan_file = real_esrgan_to_use
|
||||
model_path = real_esrgan_to_use + ".pth"
|
||||
|
||||
RealESRGAN_models = {
|
||||
'RealESRGAN_x4plus': RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4),
|
||||
'RealESRGAN_x4plus_anime_6B': RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=6, num_grow_ch=32, scale=4)
|
||||
}
|
||||
|
||||
model_to_use = RealESRGAN_models[real_esrgan_to_use]
|
||||
|
||||
if device == 'cpu':
|
||||
model_real_esrgan = RealESRGANer(scale=2, model_path=model_path, model=model_to_use, pre_pad=0, half=False) # cpu does not support half
|
||||
model_real_esrgan.device = torch.device('cpu')
|
||||
model_real_esrgan.model.to('cpu')
|
||||
else:
|
||||
model_real_esrgan = RealESRGANer(scale=2, model_path=model_path, model=model_to_use, pre_pad=0, half=model_is_half)
|
||||
|
||||
model_real_esrgan.model.name = real_esrgan_to_use
|
||||
|
||||
print('loaded ', real_esrgan_to_use, 'to', device, 'precision', precision)
|
||||
|
||||
def mk_img(req: Request):
|
||||
global modelFS, device
|
||||
global model_gfpgan, model_real_esrgan
|
||||
|
||||
res = Response()
|
||||
res.images = []
|
||||
|
||||
model.turbo = req.turbo
|
||||
if req.use_cpu:
|
||||
if device != 'cpu':
|
||||
device = 'cpu'
|
||||
|
||||
if model_is_half:
|
||||
print('reloading model for cpu')
|
||||
load_model(ckpt, device)
|
||||
load_model_ckpt(ckpt_file, device)
|
||||
|
||||
load_model_gfpgan(gfpgan_file)
|
||||
load_model_real_esrgan(real_esrgan_file)
|
||||
else:
|
||||
if has_valid_gpu:
|
||||
prev_device = device
|
||||
device = 'cuda'
|
||||
|
||||
if (precision == 'autocast' and (req.use_full_precision or not model_is_half)) or \
|
||||
@ -132,8 +199,17 @@ def mk_img(req: Request):
|
||||
(req.init_image is None and model_fs_is_half) or \
|
||||
(req.init_image is not None and not model_fs_is_half and not force_full_precision):
|
||||
|
||||
print('reloading model for cuda')
|
||||
load_model(ckpt, device, model.turbo, unet_bs, ('full' if req.use_full_precision else 'autocast'), half_model_fs=(req.init_image is not None and not req.use_full_precision))
|
||||
load_model_ckpt(ckpt_file, device, model.turbo, unet_bs, ('full' if req.use_full_precision else 'autocast'), half_model_fs=(req.init_image is not None and not req.use_full_precision))
|
||||
|
||||
if prev_device != device:
|
||||
load_model_gfpgan(gfpgan_file)
|
||||
load_model_real_esrgan(real_esrgan_file)
|
||||
|
||||
if req.use_face_correction != gfpgan_file:
|
||||
load_model_gfpgan(req.use_face_correction)
|
||||
|
||||
if req.use_upscale != real_esrgan_file:
|
||||
load_model_real_esrgan(req.use_upscale)
|
||||
|
||||
model.cdevice = device
|
||||
modelCS.cond_stage_model.device = device
|
||||
@ -152,6 +228,9 @@ def mk_img(req: Request):
|
||||
opt_strength = req.prompt_strength
|
||||
opt_save_to_disk_path = req.save_to_disk_path
|
||||
opt_init_img = req.init_image
|
||||
opt_use_face_correction = req.use_face_correction
|
||||
opt_use_upscale = req.use_upscale
|
||||
opt_show_only_filtered = req.show_only_filtered_image
|
||||
opt_format = 'png'
|
||||
|
||||
print(req.to_string(), '\n device', device)
|
||||
@ -245,15 +324,11 @@ def mk_img(req: Request):
|
||||
x_samples_ddim = modelFS.decode_first_stage(x_samples[i].unsqueeze(0))
|
||||
x_sample = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
|
||||
x_sample = 255.0 * rearrange(x_sample[0].cpu().numpy(), "c h w -> h w c")
|
||||
img = Image.fromarray(x_sample.astype(np.uint8))
|
||||
|
||||
img_data = img_to_base64_str(img)
|
||||
res.images.append(ResponseImage(data=img_data, seed=opt_seed))
|
||||
x_sample = x_sample.astype(np.uint8)
|
||||
img = Image.fromarray(x_sample)
|
||||
|
||||
if opt_save_to_disk_path is not None:
|
||||
try:
|
||||
prompt_flattened = "_".join(re.split(":| ", prompts[0]))
|
||||
prompt_flattened = prompt_flattened.replace(',', '')
|
||||
prompt_flattened = filename_regex.sub('_', prompts[0])
|
||||
prompt_flattened = prompt_flattened[:50]
|
||||
|
||||
img_id = str(uuid.uuid4())[-8:]
|
||||
@ -262,12 +337,41 @@ def mk_img(req: Request):
|
||||
img_out_path = os.path.join(session_out_path, f"{file_path}.{opt_format}")
|
||||
meta_out_path = os.path.join(session_out_path, f"{file_path}.txt")
|
||||
|
||||
metadata = f"{prompts[0]}\nWidth: {opt_W}\nHeight: {opt_H}\nSeed: {opt_seed}\nSteps: {opt_ddim_steps}\nGuidance Scale: {opt_scale}"
|
||||
img.save(img_out_path)
|
||||
with open(meta_out_path, 'w') as f:
|
||||
f.write(metadata)
|
||||
except:
|
||||
print('could not save the file', traceback.format_exc())
|
||||
if not opt_show_only_filtered:
|
||||
save_image(img, img_out_path)
|
||||
|
||||
save_metadata(meta_out_path, prompts, opt_seed, opt_W, opt_H, opt_ddim_steps, opt_scale, opt_strength, opt_use_face_correction, opt_use_upscale)
|
||||
|
||||
if not opt_show_only_filtered:
|
||||
img_data = img_to_base64_str(img)
|
||||
res.images.append(ResponseImage(data=img_data, seed=opt_seed))
|
||||
|
||||
if (opt_use_face_correction is not None and opt_use_face_correction.startswith('GFPGAN')) or \
|
||||
(opt_use_upscale is not None and opt_use_upscale.startswith('RealESRGAN')):
|
||||
|
||||
gc()
|
||||
filters_applied = []
|
||||
|
||||
if opt_use_face_correction:
|
||||
_, _, output = model_gfpgan.enhance(x_sample[:,:,::-1], has_aligned=False, only_center_face=False, paste_back=True)
|
||||
x_sample = output[:,:,::-1]
|
||||
filters_applied.append(opt_use_face_correction)
|
||||
|
||||
if opt_use_upscale:
|
||||
output, _ = model_real_esrgan.enhance(x_sample[:,:,::-1])
|
||||
x_sample = output[:,:,::-1]
|
||||
filters_applied.append(opt_use_upscale)
|
||||
|
||||
filtered_image = Image.fromarray(x_sample)
|
||||
|
||||
filtered_img_data = img_to_base64_str(filtered_image)
|
||||
res.images.append(ResponseImage(data=filtered_img_data, seed=opt_seed))
|
||||
|
||||
filters_applied = "_".join(filters_applied)
|
||||
|
||||
if opt_save_to_disk_path is not None:
|
||||
filtered_img_out_path = os.path.join(session_out_path, f"{file_path}_{filters_applied}.{opt_format}")
|
||||
save_image(filtered_image, filtered_img_out_path)
|
||||
|
||||
seeds += str(opt_seed) + ","
|
||||
opt_seed += 1
|
||||
@ -282,6 +386,21 @@ def mk_img(req: Request):
|
||||
|
||||
return res
|
||||
|
||||
def save_image(img, img_out_path):
|
||||
try:
|
||||
img.save(img_out_path)
|
||||
except:
|
||||
print('could not save the file', traceback.format_exc())
|
||||
|
||||
def save_metadata(meta_out_path, prompts, opt_seed, opt_W, opt_H, opt_ddim_steps, opt_scale, opt_prompt_strength, opt_correct_face, opt_upscale):
|
||||
metadata = f"{prompts[0]}\nWidth: {opt_W}\nHeight: {opt_H}\nSeed: {opt_seed}\nSteps: {opt_ddim_steps}\nGuidance Scale: {opt_scale}\nPrompt Strength: {opt_prompt_strength}\nUse Face Correction: {opt_correct_face}\nUse Upscaling: {opt_upscale}"
|
||||
|
||||
try:
|
||||
with open(meta_out_path, 'w') as f:
|
||||
f.write(metadata)
|
||||
except:
|
||||
print('could not save the file', traceback.format_exc())
|
||||
|
||||
def _txt2img(opt_W, opt_H, opt_n_samples, opt_ddim_steps, opt_scale, start_code, opt_C, opt_f, opt_ddim_eta, c, uc, opt_seed):
|
||||
shape = [opt_n_samples, opt_C, opt_H // opt_f, opt_W // opt_f]
|
||||
|
||||
@ -327,6 +446,13 @@ def _img2img(init_latent, t_enc, batch_size, opt_scale, c, uc, opt_ddim_steps, o
|
||||
|
||||
return samples_ddim
|
||||
|
||||
def gc():
|
||||
if device == 'cpu':
|
||||
return
|
||||
|
||||
torch.cuda.empty_cache()
|
||||
torch.cuda.ipc_collect()
|
||||
|
||||
# internal
|
||||
|
||||
def chunk(it, size):
|
||||
|
||||
16
ui/server.py
16
ui/server.py
@ -17,6 +17,7 @@ OUTPUT_DIRNAME = "Stable Diffusion UI" # in the user's home folder
|
||||
from fastapi import FastAPI, HTTPException
|
||||
from starlette.responses import FileResponse
|
||||
from pydantic import BaseModel
|
||||
import logging
|
||||
|
||||
from sd_internal import Request, Response
|
||||
|
||||
@ -45,6 +46,9 @@ class ImageRequest(BaseModel):
|
||||
turbo: bool = True
|
||||
use_cpu: bool = False
|
||||
use_full_precision: bool = False
|
||||
use_face_correction: str = None # or "GFPGANv1.3"
|
||||
use_upscale: str = None # or "RealESRGAN_x4plus" or "RealESRGAN_x4plus_anime_6B"
|
||||
show_only_filtered_image: bool = False
|
||||
|
||||
class SetAppConfigRequest(BaseModel):
|
||||
update_branch: str = "main"
|
||||
@ -68,7 +72,7 @@ async def ping():
|
||||
model_is_loading = True
|
||||
|
||||
from sd_internal import runtime
|
||||
runtime.load_model(ckpt_to_use="sd-v1-4.ckpt")
|
||||
runtime.load_model_ckpt(ckpt_to_use="sd-v1-4")
|
||||
|
||||
model_loaded = True
|
||||
model_is_loading = False
|
||||
@ -98,6 +102,9 @@ async def image(req : ImageRequest):
|
||||
r.use_cpu = req.use_cpu
|
||||
r.use_full_precision = req.use_full_precision
|
||||
r.save_to_disk_path = req.save_to_disk_path
|
||||
r.use_upscale: str = req.use_upscale
|
||||
r.use_face_correction = req.use_face_correction
|
||||
r.show_only_filtered_image = req.show_only_filtered_image
|
||||
|
||||
try:
|
||||
res: Response = runtime.mk_img(r)
|
||||
@ -168,5 +175,12 @@ def read_modifiers():
|
||||
def read_home_dir():
|
||||
return {outpath}
|
||||
|
||||
# don't log /ping requests
|
||||
class HealthCheckLogFilter(logging.Filter):
|
||||
def filter(self, record: logging.LogRecord) -> bool:
|
||||
return record.getMessage().find('/ping') == -1
|
||||
|
||||
logging.getLogger('uvicorn.access').addFilter(HealthCheckLogFilter())
|
||||
|
||||
# start the browser ui
|
||||
import webbrowser; webbrowser.open('http://localhost:9000')
|
||||
|
||||
Loading…
Reference in New Issue
Block a user