complete merge

2026-09-18 16:54:33 +02:00 · 2023-01-22 10:21:12 -05:00
parent 9e0b2d8dcb
commit 4269e8c155
5 changed files with 47 additions and 152 deletions
@@ -1,160 +1,55 @@
-# Stable Diffusion web UI
-A browser interface based on Gradio library for Stable Diffusion.
+# Stable Diffusion - Automatic

-![](screenshot.png)
+*Heavily opinionated custom fork of* <https://github.com/AUTOMATIC1111/stable-diffusion-webui>  

-## Features
-[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
- Original txt2img and img2img modes
- One click install and run script (but you still must install python and git)
- Outpainting
- Inpainting
- Color Sketch
- Prompt Matrix
- Stable Diffusion Upscale
- Attention, specify parts of text that the model should pay more attention to
-    - a man in a ((tuxedo)) - will pay more attention to tuxedo
-    - a man in a (tuxedo:1.21) - alternative syntax
-    - select text and press ctrl+up or ctrl+down to automatically adjust attention to selected text (code contributed by anonymous user)
- Loopback, run img2img processing multiple times
- X/Y plot, a way to draw a 2 dimensional plot of images with different parameters
- Textual Inversion
-    - have as many embeddings as you want and use any names you like for them
-    - use multiple embeddings with different numbers of vectors per token
-    - works with half precision floating point numbers
-    - train embeddings on 8GB (also reports of 6GB working)
- Extras tab with:
-    - GFPGAN, neural network that fixes faces
-    - CodeFormer, face restoration tool as an alternative to GFPGAN
-    - RealESRGAN, neural network upscaler
-    - ESRGAN, neural network upscaler with a lot of third party models
-    - SwinIR and Swin2SR([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
-    - LDSR, Latent diffusion super resolution upscaling
- Resizing aspect ratio options
- Sampling method selection
-    - Adjust sampler eta values (noise multiplier)
-    - More advanced noise setting options
- Interrupt processing at any time
- 4GB video card support (also reports of 2GB working)
- Correct seeds for batches
- Live prompt token length validation
- Generation parameters
-     - parameters you used to generate images are saved with that image
-     - in PNG chunks for PNG, in EXIF for JPEG
-     - can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
-     - can be disabled in settings
-     - drag and drop an image/text-parameters to promptbox
- Read Generation Parameters Button, loads parameters in promptbox to UI
- Settings page
- Running arbitrary python code from UI (must run with --allow-code to enable)
- Mouseover hints for most UI elements
- Possible to change defaults/mix/max/step values for UI elements via text config
- Tiling support, a checkbox to create images that can be tiled like textures
- Progress bar and live image generation preview
-    - Can use a separate neural network to produce previews with almost none VRAM or compute requirement
- Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
- Styles, a way to save part of prompt and easily apply them via dropdown later
- Variations, a way to generate same image but with tiny differences
- Seed resizing, a way to generate same image but at slightly different resolution
- CLIP interrogator, a button that tries to guess prompt from an image
- Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
- Batch Processing, process a group of files using img2img
- Img2img Alternative, reverse Euler method of cross attention control
- Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
- Reloading checkpoints on the fly
- Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one
- [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
- [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once
-     - separate prompts using uppercase `AND`
-     - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`
- No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
- DeepDanbooru integration, creates danbooru style tags for anime prompts
- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add --xformers to commandline args)
- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
- Generate forever option
- Training tab
-     - hypernetworks and embeddings options
-     - Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)
- Clip skip
- Hypernetworks
- Loras (same as Hypernetworks but more pretty)
- A sparate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt. 
- Can select to load a different VAE from settings screen
- Estimated completion time in progress bar
- API
- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML.
- via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
- [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
- Now without any bad letters!
- Load checkpoints in safetensors format
- Eased resolution restriction: generated image's domension must be a multiple of 8 rather than 64
- Now with a license!
- Reorder elements in the UI from settings screen
- 
+![](ui-screenshot.jpg)

-## Installation and Running
-Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
+<br>

-Alternatively, use online services (like Google Colab):
+## Notes

- [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
+Fork is as close as up-to-date with origin as time allows  
+All code changes are merged upstream whenever possible  

-### Automatic Installation on Windows
-1. Install [Python 3.10.6](https://www.python.org/downloads/windows/), checking "Add Python to PATH"
-2. Install [git](https://git-scm.com/download/win).
-3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
-4. Place stable diffusion checkpoint (`model.ckpt`) in the `models/Stable-diffusion` directory (see [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) for where to get it).
-5. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
+Fork adds extra functionality:
+- Ships with additional **extensions**  
+  e.g. `System Info`, `Steps Animation`, etc.  
+- Ships with set of **CLI** tools that rely on *SD API* for execution:  
+  e.g. `generate`, `train`, `bench`, etc.  
+  [Full list](<cli/>)

-### Automatic Installation on Linux
-1. Install the dependencies:
-```bash
-# Debian-based:
-sudo apt install wget git python3 python3-venv
-# Red Hat-based:
-sudo dnf install wget git python3
-# Arch-based:
-sudo pacman -S wget git python3
-```
-2. To install in `/home/$(whoami)/stable-diffusion-webui/`, run:
-```bash
-bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh)
-```
+Fork does differ in few things:

-### Installation on Apple Silicon
+- Additional simplified start script  
+  > ./automatic.sh  
+  > ./secure.sh  
+  
+  Use `secure.sh` if you want to startup with username/password auth enabled and listen on global IP  
+  Existing `webui.sh` still exists for fresh installs to auto-install dependencies, etc.  
+- Additional simplified install script  
+  > ./install.sh  
+- Drops compatibility with `python` **3.7** and requires **3.10**  
+- Updated **Python** libraries to latest known compatible versions  
+  e.g. `accelerate`, `transformers`, `numpy`, etc.  
+- Includes opinionated **System** and **Options** configuration  
+  e.g. `samplers`, `upscalers`, etc.  
+- Includes reskinned **UI**  
+  Black and orange dark theme with fixed width options panels and larger previews  
+- Includes **SD2** configuration files  
+- Uses simplified folder structure  
+  e.g. `/train`, `/outputs/*`  
+- Modified training templates  

-Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
+Only Python library which is not auto-updated is `PyTorch` itself as that is very system specific  
+For some Torch optimizations notes, see Wiki

-## Contributing
-Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
+Fork is compatible with regular **PyTorch 1.13** as well as pre-release of **PyTorch 2.0**  
+See [Wiki](https://github.com/vladmandic/automatic/wiki) for **Torch** optimization notes

-## Documentation
-The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).

-## Credits
-Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
+<br>

- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
- GFPGAN - https://github.com/TencentARC/GFPGAN.git
- CodeFormer - https://github.com/sczhou/CodeFormer
- ESRGAN - https://github.com/xinntao/ESRGAN
- SwinIR - https://github.com/JingyunLiang/SwinIR
- Swin2SR - https://github.com/mv-lab/swin2sr
- LDSR - https://github.com/Hafiidz/latent-diffusion
- MiDaS - https://github.com/isl-org/MiDaS
- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
- Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
- Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention)
- Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
- Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
- Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
- xformers - https://github.com/facebookresearch/xformers
- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
- Security advice - RyotaK
- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
- (You)
+## Docs
+
+Everything is in [Wiki](https://github.com/vladmandic/automatic/wiki)  
+Except my current [TODO](TODO.md)  
@@ -60,7 +60,7 @@
    "training_enable_tensorboard": true,
    "training_tensorboard_save_images": false,
    "training_tensorboard_flush_every": 120,
-    "sd_model_checkpoint": "zeipher-f222.ckpt [9e2c6ceff3]",
+    "sd_model_checkpoint": "sd-v15-runwayml.ckpt [cc6cb27103]",
    "sd_checkpoint_cache": 0,
    "sd_vae_checkpoint_cache": 0,
    "sd_vae": "vae-ft-mse-840000-ema-pruned.ckpt",
@@ -144,7 +144,7 @@
        "ScuNET",
        "roll-artist"
    ],
-    "sd_checkpoint_hash": "9e2c6ceff3f6d6f65c6fb0e10d8e69d772871813be647fd2ea5d06e00db33c1f",
+    "sd_checkpoint_hash": "cc6cb27103417325ff94f52b7a5d2dde45a7515b25c255d8e396c90014281516",
    "ldsr_steps": 100,
    "ldsr_cached": false,
    "SWIN_tile": 192,
@@ -35,7 +35,7 @@ parser.add_argument("--no-half-vae", action='store_true', help="do not switch th
 parser.add_argument("--no-progressbar-hiding", action='store_true', help="do not hide progressbar in gradio UI (we hide it because it slows down ML if you have hardware acceleration in browser)")
 parser.add_argument("--max-batch-count", type=int, default=16, help="maximum batch count value for the UI")
 parser.add_argument("--embeddings-dir", type=str, default=os.path.join(script_path, 'embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
-parser.add_argument("--textual-inversion-templates-dir", type=str, default=os.path.join(script_path, 'textual_inversion_templates'), help="directory with textual inversion templates")
+parser.add_argument("--textual-inversion-templates-dir", type=str, default=os.path.join(script_path, 'train/templates'), help="directory with textual inversion templates")
 parser.add_argument("--hypernetwork-dir", type=str, default=os.path.join(models_path, 'hypernetworks'), help="hypernetwork directory")
 parser.add_argument("--localizations-dir", type=str, default=os.path.join(script_path, 'localizations'), help="localizations directory")
 parser.add_argument("--allow-code", action='store_true', help="allow custom script execution from webui")