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Top 23 Python stable-diffusion Projects
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For those interested in this innovative tool, accessing the GitHub repository at https://github.com/AUTOMATIC1111/stable-diffusion-webui provides further details and instructions on how to utilize its features effectively. Embrace the future of creativity and unlock new possibilities with this enhanced web interface for Stable Diffusion.
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Judoscale
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ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Method 1 (Basic API): websockets_api_example.py
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diffusers
đ¤ Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
!pip install torch torchvision torchaudio einops timm pillow !pip install git+https://github.com/huggingface/transformers !pip install git+https://github.com/huggingface/accelerate !pip install git+https://github.com/huggingface/diffusers !pip install huggingface_hub !pip install sentencepiece bitsandbytes protobuf decord ffmpeg-python imageio opencv-python
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IOPaint
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
Project mention: A free and open-source inpainting and outpainting tool | news.ycombinator.com | 2025-03-10 -
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krita-ai-diffusion
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
The reason that Adobe can do AI gen "out of the box" is because you're paying for it (Firefly).
If GIMP were to implement it, they'd probably have to go the same route as Krita and either spin up or call out to a running instance of Automatic1111 or ComfyUI.
https://github.com/Acly/krita-ai-diffusion
MCP would be cool, but it would be significantly harder than Blender which can represent the "world" as a formal set of expressions. MCP for GIMP would be dealing with layers of rasterized data which would mean integrating with YOLO/LLava/etc. in order to make sense of it. It would be neat, but it'd be a daunting integration and potentially VERY VERY slow.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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Been running Linux on the A770 for about 2 years now. Very happy with the driver situation. Was a bit rough very early on, but it's nice and stable now. Recommend at least Linux 6.4, but preferably newer. I use a rolling release distro(Artix) to get up to date kernels.
ML stuff can be a pain sometimes because support in pytorch and various other libraries is not as prioritised as CUDA. But I've been able to get llama.cpp working via ollama, which has experimental intel gpu support. Worked fine when I tested it, though I haven't actually used it very much, so don't quote me on it.
For image gen, your best bet is to use sdnext(https://github.com/vladmandic/sdnext), which supports Intel on linux officially, and will automagically install the right pytorch version, and do a bunch of trickery to get libraries that insist on CUDA to work in many of the cases. Though some things are still unsupported due to various libraries still not supporting intel on Linux. Some types of quantization are unavailable for instance. But at least if you have the A770, quantisation for image gen is not as important due to plentyful VRAM, unless you're trying to use the flux models.
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courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI) (by SkalskiP)
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SUPIR
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Project mention: Supir: Revolutionizing image restoration with cutting-edge large-scale AI | news.ycombinator.com | 2024-10-07 -
multidiffusion-upscaler-for-automatic1111
Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
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stable-diffusion-videos
Create đĨ videos with Stable Diffusion by exploring the latent space and morphing between text prompts
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nexa-sdk
Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.
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Project mention: Benn Jordan's AI poison pill and the weird world of adversarial noise | news.ycombinator.com | 2025-04-15
https://github.com/riffusion/riffusion-hobby
The more advanced music generators out now I believe have more of a 'stems' approach and a larger processing pipeline to increase fidelity and add tracking vocal capability but the underlying idea is the same.
Any adversarial attack to hide information in the spectrograph to fool the model into categorizing the track as something it is not isn't different than the image adversarial attacks which have been found to have ways to be mitigated.
Various forms of filtering for inaudible spectral information coupled with methods that destroy and re-synthesize/randomize phase information would likely break this poisoning attack.
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LyCORIS
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python stable-diffusion discussion
Python stable-diffusion related posts
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UniK3D: Universal Camera Monocular 3D Estimation â Luigi Piccinelli
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Gimp 3.0 Released
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InstantStyle: Free Lunch Towards Style-Preserving in Text-to-Image Generation
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How to Use ComfyUI API with Python: A Complete Guide
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How to Use WAN 2.1 with Comfy UI on Mac, Windows, and Linux: A Comprehensive Guide
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Setup ComfyUI from Scratch to Run Flux diffusion model on RunPod â Step by Step Tutorial!
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RTX 5090 Tested Against FLUX DEV, SD 3.5 Large, SD 3.5 Medium, SDXL, SD 1.5 with AMD 9950X CPU
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A note from our sponsor - Judoscale
judoscale.com | 24 Apr 2025
Index
What are some of the best open-source stable-diffusion projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | stable-diffusion-webui | 151,591 |
| 2 | ComfyUI | 74,692 |
| 3 | diffusers | 28,632 |
| 4 | IOPaint | 20,952 |
| 5 | stable-dreamfusion | 8,511 |
| 6 | krita-ai-diffusion | 8,411 |
| 7 | dream-textures | 7,978 |
| 8 | fast-stable-diffusion | 7,708 |
| 9 | sdnext | 6,217 |
| 10 | courses | 5,968 |
| 11 | SUPIR | 5,010 |
| 12 | multidiffusion-upscaler-for-automatic1111 | 4,892 |
| 13 | stable-diffusion-videos | 4,570 |
| 14 | nexa-sdk | 4,504 |
| 15 | stablediffusion-infinity | 3,867 |
| 16 | discoart | 3,846 |
| 17 | riffusion-hobby | 3,648 |
| 18 | sd-webui-segment-anything | 3,489 |
| 19 | sd-webui-roop | 3,472 |
| 20 | zero123 | 2,824 |
| 21 | sd-webui-deforum | 2,795 |
| 22 | StableSR | 2,410 |
| 23 | LyCORIS | 2,317 |
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