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Top 23 Python stable-diffusion Projects
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Link (Github): https://github.com/AUTOMATIC1111/stable-diffusion-webui
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Project mention: Nvidia DGX Spark: great hardware, early days for the ecosystem | news.ycombinator.com | 2025-10-15It's very likely worth trying ComfyUI on it too: https://github.com/comfyanonymous/ComfyUI
Installation instructions: https://github.com/comfyanonymous/ComfyUI#nvidia
It's a webUI that'll let you try a bunch of different, super powerful things, including easily doing image and video generation in lots of different ways.
It was really useful to me when benching stuff at work on various gear. ie L4 vs A40 vs H100 vs 5th gen EPYC cpus, etc.
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Diffusers Documentation
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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.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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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.
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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 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
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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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FastDeploy
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
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AI-Youtube-Shorts-Generator
A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.
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Just use https://github.com/bghira/SimpleTuner
I was able to run this script to train a Lora myself without spending any time learning the underlying python libraries.
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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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Nvidia DGX Spark: great hardware, early days for the ecosystem
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Qwen-Image-Edit-2509 Complete Review Guide - Revolutionary Upgrade in AI Image Editing
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DevLog 20250710: ComfyUI API
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FLUX.1 Kontext [Dev] – Open Weights for Image Editing
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Open source software for the visual AI space
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Generative AI for Krita
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UniK3D: Universal Camera Monocular 3D Estimation – Luigi Piccinelli
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A note from our sponsor - SaaSHub
www.saashub.com | 16 Nov 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 | 158,141 |
| 2 | ComfyUI | 93,086 |
| 3 | diffusers | 31,604 |
| 4 | krita-ai-diffusion | 9,340 |
| 5 | stable-dreamfusion | 8,707 |
| 6 | dream-textures | 8,069 |
| 7 | fast-stable-diffusion | 7,864 |
| 8 | sdnext | 6,716 |
| 9 | courses | 6,209 |
| 10 | SUPIR | 5,329 |
| 11 | multidiffusion-upscaler-for-automatic1111 | 4,998 |
| 12 | stable-diffusion-videos | 4,627 |
| 13 | stablediffusion-infinity | 3,884 |
| 14 | discoart | 3,833 |
| 15 | riffusion-hobby | 3,807 |
| 16 | FastDeploy | 3,574 |
| 17 | sd-webui-segment-anything | 3,514 |
| 18 | sd-webui-roop | 3,510 |
| 19 | zero123 | 2,942 |
| 20 | sd-webui-deforum | 2,843 |
| 21 | AI-Youtube-Shorts-Generator | 2,704 |
| 22 | SimpleTuner | 2,598 |
| 23 | OneTrainer | 2,589 |
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