mirror of
https://github.com/vladmandic/automatic
synced 2026-09-18 08:44:33 +02:00
Vladimir Mandic
124 lines
4.7 KiB
Markdown
124 lines
4.7 KiB
Markdown
# Stable Diffusion - Automatic
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*Heavily opinionated custom fork of* <https://github.com/AUTOMATIC1111/stable-diffusion-webui>
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<br>
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## Notes
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Fork is as close as up-to-date with origin as time allows
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All code changes are merged upstream whenever possible
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Fork adds extra functionality:
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- New skin and UI layout
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- Ships with additional **extensions**
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e.g. `System Info`, `Steps Animation`, etc.
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- Ships with set of **CLI** tools that rely on *SD API* for execution:
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e.g. `generate`, `train`, `bench`, etc.
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[Full list](<cli/>)
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Simplified start script: `automatic.sh`
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*Existing `webui.sh`/`webui.bat` still exist for backward compatibility, fresh installs to auto-install dependencies, etc.*
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> ./automatic.sh
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- Start in default mode with optimizations enabled
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Additionally print environment info during startup
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Example:
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Version: b0b326f3 Wed Feb 15 09:07:04 2023 -0500
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Repository: https://github.com/vladmandic/automatic
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Last Merge: Sun Feb 5 07:03:27 2023 -0500 Merge pull request #35 from AUTOMATIC1111/master
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Platform: Ubuntu 22.04.1 LTS 5.15.83.1-microsoft-standard-WSL2 x86_64
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nVIDIA: NVIDIA GeForce RTX 3060, 528.49
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Python: 3.10.6 Torch: 2.0.0.dev20230211+cu118 CUDA: 11.8 cuDNN: 8700 GPU: NVIDIA GeForce RTX 3060 Arch: (8, 6)
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> ./automatic.sh public
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- Start with listen on public IP with authentication enabled
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> ./automatic.sh clean
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- Start with all optimizations disabled
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Use this for troubleshooting
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> ./automatic.sh install
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- Installs and refreshes:
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dependencies, submodules, extensions
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<br>
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## Install
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1. Install `PyTorch` first
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2. Clone and initialize repository
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> git clone --depth 1 https://github.com/vladmandic/automatic
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> cd automatic
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> ./automatic.sh install
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SD server: install
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Installing general requirements
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Installing versioned requirements
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Updating submodules
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Modules:
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- 6c76a48 Mon Feb 13 00:03:00 2023 -0800 https://github.com/mcmonkeyprojects/sd-dynamic-thresholding
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- a528cd5 Tue Jan 31 07:57:07 2023 -0500 https://github.com/vladmandic/sd-extension-aesthetic-scorer
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- 7cf0e3a Tue Feb 7 07:39:40 2023 -0500 https://github.com/vladmandic/sd-extension-steps-animation
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- b5d8e6a Thu Feb 9 15:25:18 2023 -0500 https://github.com/vladmandic/sd-extension-system-info
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- 7a998ed Wed Feb 8 07:21:52 2023 -0500 https://github.com/Akegarasu/sd-webui-model-converter
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- 0a5c897 Thu Feb 16 11:08:00 2023 +0100 https://github.com/yownas/seed_travel
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- c8efd35 Mon Feb 13 21:51:25 2023 +0100 https://github.com/AlUlkesh/stable-diffusion-webui-images-browser
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- 14d7b24 Thu Feb 16 22:35:47 2023 +0900 https://github.com/kohya-ss/sd-scripts
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- b351828 Tue Feb 14 11:47:19 2023 -0500 https://github.com/vladmandic/automatic.wiki
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Updating extensions
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Extensions:
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- e5b773a Sat Feb 11 19:38:18 2023 +0500 https://github.com/klimaleksus/stable-diffusion-webui-embedding-merge
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- 0f3f699 Fri Dec 9 11:50:47 2022 +0800 https://github.com/yfszzx/stable-diffusion-webui-inspiration
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<br>
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## Differences
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Fork does differ in few things:
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- Drops compatibility with `python` **3.7** and requires **3.9**
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- Updated **Python** libraries to latest known compatible versions
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e.g. `accelerate`, `transformers`, `numpy`, etc.
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- Includes opinionated **System** and **Options** configuration
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e.g. `samplers`, `upscalers`, etc.
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- Includes reskinned **UI**
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Black and orange dark theme with fixed width options panels and larger previews
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- Includes **SD2** configuration files
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- Uses simplified folder structure
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e.g. `/train`, `/outputs/*`
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- Modified training templates
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- Built-in `LoRA` training
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- Built-in `Custom Diffusion` training
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Only Python library which is not auto-updated is `PyTorch` itself as that is very system specific
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For some Torch optimizations notes, see Wiki
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Fork is compatible with regular **PyTorch 1.13** as well as pre-release of **PyTorch 2.0**
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See [Wiki](https://github.com/vladmandic/automatic/wiki) for **Torch** optimization notes
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<br>
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## Scripts
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This repository comes with a large collection of scripts that can be used to process inputs, train, generate, and benchmark models
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As well as number of auxiliary scripts that do not rely on **WebUI**, but can be used for end-to-end solutions such as extract frames from videos, etc.
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For full details see [Docs](cli/README.md)
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<br>
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## Docs
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- Scripts are in [Scripts](cli/README.md)
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- Everything else is in [Wiki](https://github.com/vladmandic/automatic/wiki)
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- Except my current [TODO](TODO.md)
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