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v2.5.48
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v2.5.48-fi
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2
.github/FUNDING.yml
vendored
2
.github/FUNDING.yml
vendored
@@ -1,3 +1,3 @@
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# These are supported funding model platforms
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ko_fi: cmdr2_stablediffusion_ui
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ko_fi: easydiffusion
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@@ -5,10 +5,10 @@ If you haven't downloaded Stable Diffusion UI yet, please download from https://
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After downloading, to install please follow these instructions:
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For Windows:
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- Please double-click the "Start Stable Diffusion UI.cmd" file inside the "stable-diffusion-ui" folder.
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- Please double-click the "Easy-Diffusion-Windows.exe" file and follow the instructions.
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For Linux:
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- Please open a terminal, and go to the "stable-diffusion-ui" directory. Then run ./start.sh
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- Please open a terminal, unzip the Easy-Diffusion-Linux.zip file and go to the "easy-diffusion" directory. Then run ./start.sh
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That file will automatically install everything. After that it will start the Stable Diffusion interface in a web browser.
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23
README.md
23
README.md
@@ -11,18 +11,22 @@ Does not require technical knowledge, does not require pre-installed software. 1
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Click the download button for your operating system:
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<p float="left">
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<a href="https://github.com/easydiffusion/easydiffusion/releases/download/v2.5.24/Easy-Diffusion-Windows.exe"><img src="https://github.com/easydiffusion/easydiffusion/raw/main/media/download-win.png" width="200" /></a>
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<a href="https://github.com/easydiffusion/easydiffusion/releases/download/v2.5.24/Easy-Diffusion-Linux.zip"><img src="https://github.com/easydiffusion/easydiffusion/raw/main/media/download-linux.png" width="200" /></a>
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<a href="https://github.com/easydiffusion/easydiffusion/releases/download/v2.5.24/Easy-Diffusion-Mac.zip"><img src="https://github.com/easydiffusion/easydiffusion/raw/main/media/download-mac.png" width="200" /></a>
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<a href="https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.5.41a/Easy-Diffusion-Windows.exe"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/main/media/download-win.png" width="200" /></a>
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<a href="https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.5.41a/Easy-Diffusion-Linux.zip"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/main/media/download-linux.png" width="200" /></a>
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<a href="https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.5.41a/Easy-Diffusion-Mac.zip"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/main/media/download-mac.png" width="200" /></a>
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</p>
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**Hardware requirements:**
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- **Windows:** NVIDIA graphics card (minimum 2 GB RAM), or run on your CPU.
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- **Linux:** NVIDIA or AMD graphics card (minimum 2 GB RAM), or run on your CPU.
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- **Windows:** NVIDIA graphics card¹ (minimum 2 GB RAM), or run on your CPU.
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- **Linux:** NVIDIA¹ or AMD² graphics card (minimum 2 GB RAM), or run on your CPU.
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- **Mac:** M1 or M2, or run on your CPU.
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- Minimum 8 GB of system RAM.
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- Atleast 25 GB of space on the hard disk.
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¹) [CUDA Compute capability](https://en.wikipedia.org/wiki/CUDA#GPUs_supported) level of 3.7 or higher required.
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²) ROCm 5.2 support required.
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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.
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## On Windows:
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@@ -132,6 +136,15 @@ We could really use help on these aspects (click to view tasks that need your he
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If you have any code contributions in mind, please feel free to say Hi to us on the [discord server](https://discord.com/invite/u9yhsFmEkB). We use the Discord server for development-related discussions, and for helping users.
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# Credits
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* Stable Diffusion: https://github.com/Stability-AI/stablediffusion
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* CodeFormer: https://github.com/sczhou/CodeFormer (license: https://github.com/sczhou/CodeFormer/blob/master/LICENSE)
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* GFPGAN: https://github.com/TencentARC/GFPGAN
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* RealESRGAN: https://github.com/xinntao/Real-ESRGAN
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* k-diffusion: https://github.com/crowsonkb/k-diffusion
|
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* Code contributors and artists on the cmdr2 UI: https://github.com/cmdr2/stable-diffusion-ui and Discord (https://discord.com/invite/u9yhsFmEkB)
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* Lots of contributors on the internet
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# Disclaimer
|
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The authors of this project are not responsible for any content generated using this interface.
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@@ -57,6 +57,12 @@ def install(module_name: str, module_version: str):
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module_version = "0.14.1"
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install_cmd = f"python -m pip install --upgrade {module_name}=={module_version}"
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# hack for safetensors, until v3 gets released to the main branch
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if module_name == "sdkit":
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install_cmd += " safetensors==0.3.2"
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# /hack
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if index_url:
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install_cmd += f" --index-url {index_url}"
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if module_name == "sdkit" and version("sdkit") is not None:
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113
ui/index.html
113
ui/index.html
@@ -161,60 +161,63 @@
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<a href="https://github.com/easydiffusion/easydiffusion/wiki/Clip-Skip" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about Clip Skip</span></i></a>
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</td>
|
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</tr>
|
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<tr id="controlnet_model_container" class="pl-5"><td><label for="controlnet_model">ControlNet Image:</label></td><td>
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<div id="control_image_wrapper" class="preview_image_wrapper">
|
||||
<img id="control_image_preview" class="image_preview" src="" crossorigin="anonymous" />
|
||||
<span id="control_image_size_box" class="img_bottom_label"></span>
|
||||
<button class="control_image_clear image_clear_btn"><i class="fa-solid fa-xmark"></i></button>
|
||||
</div>
|
||||
<input id="control_image" name="control_image" type="file" />
|
||||
<a href="https://github.com/easydiffusion/easydiffusion/wiki/ControlNet" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about ControlNets</span></i></a>
|
||||
<div id="controlnet_config" class="displayNone">
|
||||
<label><small>Filter to apply:</small></label>
|
||||
<select id="control_image_filter">
|
||||
<option value="">None</option>
|
||||
<optgroup label="Pose">
|
||||
<option value="openpose">OpenPose (*)</option>
|
||||
<option value="openpose_face">OpenPose face</option>
|
||||
<option value="openpose_faceonly">OpenPose face-only</option>
|
||||
<option value="openpose_hand">OpenPose hand</option>
|
||||
<option value="openpose_full">OpenPose full</option>
|
||||
</optgroup>
|
||||
<optgroup label="Outline">
|
||||
<option value="canny">Canny (*)</option>
|
||||
<option value="mlsd">Straight lines</option>
|
||||
<option value="scribble_hed">Scribble hed (*)</option>
|
||||
<option value="scribble_hedsafe">Scribble hedsafe</option>
|
||||
<option value="scribble_pidinet">Scribble pidinet</option>
|
||||
<option value="scribble_pidsafe">Scribble pidsafe</option>
|
||||
<option value="softedge_hed">Softedge hed</option>
|
||||
<option value="softedge_hedsafe">Softedge hedsafe</option>
|
||||
<option value="softedge_pidinet">Softedge pidinet</option>
|
||||
<option value="softedge_pidsafe">Softedge pidsafe</option>
|
||||
</optgroup>
|
||||
<optgroup label="Depth">
|
||||
<option value="normal_bae">Normal bae (*)</option>
|
||||
<option value="depth_midas">Depth midas</option>
|
||||
<option value="depth_zoe">Depth zoe</option>
|
||||
<option value="depth_leres">Depth leres</option>
|
||||
<option value="depth_leres++">Depth leres++</option>
|
||||
</optgroup>
|
||||
<optgroup label="Line art">
|
||||
<option value="lineart_coarse">Lineart coarse</option>
|
||||
<option value="lineart_realistic">Lineart realistic</option>
|
||||
<option value="lineart_anime">Lineart anime</option>
|
||||
</optgroup>
|
||||
<optgroup label="Misc">
|
||||
<option value="shuffle">Shuffle</option>
|
||||
<option value="segment">Segment</option>
|
||||
</optgroup>
|
||||
</select>
|
||||
<br/>
|
||||
<label for="controlnet_model"><small>Model:</small></label> <input id="controlnet_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
|
||||
<br/>
|
||||
<label><small>Will download the necessary models, the first time.</small></label>
|
||||
</div>
|
||||
</td></tr>
|
||||
<tr id="controlnet_model_container" class="pl-5">
|
||||
<td><label for="controlnet_model">ControlNet Image:</label></td>
|
||||
<td class="diffusers-restart-needed">
|
||||
<div id="control_image_wrapper" class="preview_image_wrapper">
|
||||
<img id="control_image_preview" class="image_preview" src="" crossorigin="anonymous" />
|
||||
<span id="control_image_size_box" class="img_bottom_label"></span>
|
||||
<button class="control_image_clear image_clear_btn"><i class="fa-solid fa-xmark"></i></button>
|
||||
</div>
|
||||
<input id="control_image" name="control_image" type="file" />
|
||||
<a href="https://github.com/easydiffusion/easydiffusion/wiki/ControlNet" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about ControlNets</span></i></a>
|
||||
<div id="controlnet_config" class="displayNone">
|
||||
<label><small>Filter to apply:</small></label>
|
||||
<select id="control_image_filter">
|
||||
<option value="">None</option>
|
||||
<optgroup label="Pose">
|
||||
<option value="openpose">OpenPose (*)</option>
|
||||
<option value="openpose_face">OpenPose face</option>
|
||||
<option value="openpose_faceonly">OpenPose face-only</option>
|
||||
<option value="openpose_hand">OpenPose hand</option>
|
||||
<option value="openpose_full">OpenPose full</option>
|
||||
</optgroup>
|
||||
<optgroup label="Outline">
|
||||
<option value="canny">Canny (*)</option>
|
||||
<option value="mlsd">Straight lines</option>
|
||||
<option value="scribble_hed">Scribble hed (*)</option>
|
||||
<option value="scribble_hedsafe">Scribble hedsafe</option>
|
||||
<option value="scribble_pidinet">Scribble pidinet</option>
|
||||
<option value="scribble_pidsafe">Scribble pidsafe</option>
|
||||
<option value="softedge_hed">Softedge hed</option>
|
||||
<option value="softedge_hedsafe">Softedge hedsafe</option>
|
||||
<option value="softedge_pidinet">Softedge pidinet</option>
|
||||
<option value="softedge_pidsafe">Softedge pidsafe</option>
|
||||
</optgroup>
|
||||
<optgroup label="Depth">
|
||||
<option value="normal_bae">Normal bae (*)</option>
|
||||
<option value="depth_midas">Depth midas</option>
|
||||
<option value="depth_zoe">Depth zoe</option>
|
||||
<option value="depth_leres">Depth leres</option>
|
||||
<option value="depth_leres++">Depth leres++</option>
|
||||
</optgroup>
|
||||
<optgroup label="Line art">
|
||||
<option value="lineart_coarse">Lineart coarse</option>
|
||||
<option value="lineart_realistic">Lineart realistic</option>
|
||||
<option value="lineart_anime">Lineart anime</option>
|
||||
</optgroup>
|
||||
<optgroup label="Misc">
|
||||
<option value="shuffle">Shuffle</option>
|
||||
<option value="segment">Segment</option>
|
||||
</optgroup>
|
||||
</select>
|
||||
<br/>
|
||||
<label for="controlnet_model"><small>Model:</small></label> <input id="controlnet_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
|
||||
<br/>
|
||||
<label><small>Will download the necessary models, the first time.</small></label>
|
||||
</div>
|
||||
</td>
|
||||
</tr>
|
||||
<tr class="pl-5"><td><label for="vae_model">Custom VAE:</label></td><td>
|
||||
<input id="vae_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
|
||||
<a href="https://github.com/easydiffusion/easydiffusion/wiki/VAE-Variational-Auto-Encoder" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about VAEs</span></i></a>
|
||||
@@ -718,7 +721,7 @@
|
||||
<div id="footer-spacer"></div>
|
||||
<div id="footer">
|
||||
<div class="line-separator"> </div>
|
||||
<p>If you found this project useful and want to help keep it alive, please <a href="https://ko-fi.com/cmdr2_stablediffusion_ui" target="_blank"><img src="/media/images/kofi.png" id="coffeeButton"></a> to help cover the cost of development and maintenance! Thank you for your support!</p>
|
||||
<p>If you found this project useful and want to help keep it alive, please <a href="https://ko-fi.com/easydiffusion" target="_blank"><img src="/media/images/kofi.png" id="coffeeButton"></a> to help cover the cost of development and maintenance! Thank you for your support!</p>
|
||||
<p>Please feel free to join the <a href="https://discord.com/invite/u9yhsFmEkB" target="_blank">discord community</a> or <a href="https://github.com/easydiffusion/easydiffusion/issues" target="_blank">file an issue</a> if you have any problems or suggestions in using this interface.</p>
|
||||
<div id="footer-legal">
|
||||
<p><b>Disclaimer:</b> The authors of this project are not responsible for any content generated using this interface.</p>
|
||||
|
||||
@@ -1,11 +1,12 @@
|
||||
from easydiffusion import model_manager, app, server
|
||||
from easydiffusion.server import server_api # required for uvicorn
|
||||
|
||||
app.init()
|
||||
|
||||
server.init()
|
||||
|
||||
# Init the app
|
||||
model_manager.init()
|
||||
app.init()
|
||||
app.init_render_threads()
|
||||
|
||||
# start the browser ui
|
||||
|
||||
@@ -183,6 +183,8 @@ let undoBuffer = []
|
||||
const UNDO_LIMIT = 20
|
||||
const MAX_IMG_UNDO_ENTRIES = 5
|
||||
|
||||
let IMAGE_STEP_SIZE = 64
|
||||
|
||||
let loraModels = []
|
||||
|
||||
imagePreview.addEventListener("drop", function(ev) {
|
||||
@@ -1368,8 +1370,8 @@ function getCurrentUserRequest() {
|
||||
// clamp to multiple of 8
|
||||
let width = parseInt(widthField.value)
|
||||
let height = parseInt(heightField.value)
|
||||
width = width - (width % 8)
|
||||
height = height - (height % 8)
|
||||
width = width - (width % IMAGE_STEP_SIZE)
|
||||
height = height - (height % IMAGE_STEP_SIZE)
|
||||
|
||||
const newTask = {
|
||||
batchesDone: 0,
|
||||
@@ -2245,8 +2247,8 @@ controlImageSelector.addEventListener("change", loadControlnetImageFromFile)
|
||||
function controlImageLoad() {
|
||||
let w = controlImagePreview.naturalWidth
|
||||
let h = controlImagePreview.naturalHeight
|
||||
w = w - (w % 8)
|
||||
h = h - (h % 8)
|
||||
w = w - (w % IMAGE_STEP_SIZE)
|
||||
h = h - (h % IMAGE_STEP_SIZE)
|
||||
|
||||
addImageSizeOption(w)
|
||||
addImageSizeOption(h)
|
||||
|
||||
@@ -461,15 +461,20 @@ async function getAppConfig() {
|
||||
if (!testDiffusersEnabled) {
|
||||
document.querySelector("#lora_model_container").style.display = "none"
|
||||
document.querySelector("#tiling_container").style.display = "none"
|
||||
document.querySelector("#controlnet_model_container").style.display = "none"
|
||||
document.querySelector("#hypernetwork_strength_container").style.display = ""
|
||||
|
||||
document.querySelectorAll("#sampler_name option.diffusers-only").forEach((option) => {
|
||||
option.style.display = "none"
|
||||
})
|
||||
customWidthField.step = 64
|
||||
customHeightField.step = 64
|
||||
IMAGE_STEP_SIZE = 64
|
||||
customWidthField.step = IMAGE_STEP_SIZE
|
||||
customHeightField.step = IMAGE_STEP_SIZE
|
||||
} else {
|
||||
document.querySelector("#lora_model_container").style.display = ""
|
||||
document.querySelector("#tiling_container").style.display = ""
|
||||
document.querySelector("#controlnet_model_container").style.display = ""
|
||||
document.querySelector("#hypernetwork_strength_container").style.display = "none"
|
||||
|
||||
document.querySelectorAll("#sampler_name option.k_diffusion-only").forEach((option) => {
|
||||
option.style.display = "none"
|
||||
@@ -477,8 +482,9 @@ async function getAppConfig() {
|
||||
document.querySelector("#clip_skip_config").classList.remove("displayNone")
|
||||
document.querySelector("#embeddings-button").classList.remove("displayNone")
|
||||
document.querySelector("#negative-embeddings-button").classList.remove("displayNone")
|
||||
customWidthField.step = 8
|
||||
customHeightField.step = 8
|
||||
IMAGE_STEP_SIZE = 8
|
||||
customWidthField.step = IMAGE_STEP_SIZE
|
||||
customHeightField.step = IMAGE_STEP_SIZE
|
||||
}
|
||||
|
||||
console.log("get config status response", config)
|
||||
|
||||
@@ -124,8 +124,8 @@
|
||||
// Draw the image with centered coordinates
|
||||
context.drawImage(imageObj, x, y, this.width, this.height);
|
||||
|
||||
let bestWidth = maxCroppedWidth - maxCroppedWidth % 8
|
||||
let bestHeight = maxCroppedHeight - maxCroppedHeight % 8
|
||||
let bestWidth = maxCroppedWidth - maxCroppedWidth % IMAGE_STEP_SIZE
|
||||
let bestHeight = maxCroppedHeight - maxCroppedHeight % IMAGE_STEP_SIZE
|
||||
|
||||
addImageSizeOption(bestWidth)
|
||||
addImageSizeOption(bestHeight)
|
||||
|
||||
Reference in New Issue
Block a user