Image
OneTrainer
OneTrainer is a one-stop solution for all your Diffusion training needs.
★ 3.2k starsAGPL-3.0
View guide →Stable Diffusion with Core ML on Apple Silicon
ml-stable-diffusion is an open-source image project by apple-aiml-research (apple-aiml-research/ml-stable-diffusion on GitHub). It has 17,968 GitHub stars and 1,081 forks, is released under the MIT license, and was last updated on GitHub on 11 September 2026.
Generation studio, upscaler, background remover, or photo library — match the tool to the task.
Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.
Generation tools need checkpoint files; utilities like upscalers usually bundle everything.
Generate, enhance, or import — then export, share, or keep building your library.
Bring any compatible open checkpoint; you are never locked to one vendor's style.
Your images stay on your machine — important for client work and privacy.
The defining trait of this whole category: professional results without monthly fees.
Edits stay reversible; originals are never touched.
Run whole folders through upscalers and converters unattended.
Extensions, scripts, and community presets extend the popular studios far beyond stock.
Download the source and move into the project folder.
git clone https://github.com/apple-aiml-research/ml-stable-diffusion.git
cd ml-stable-diffusionEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at apple-aiml-research/ml-stable-diffusion with 1,081 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Generation benefits hugely from one; upscalers and photo managers are far lighter.
For generation: a polished studio interface. For enhancement: a dedicated upscaler. For libraries: a photo manager.
With the right open checkpoints, absolutely — the interface matters less than the model you load.
OneTrainer is a one-stop solution for all your Diffusion training needs.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
kohya_ss — open-source image project on GitHub.
ControlNet — the original conditional control for diffusion models: steer Stable Diffusion with edges, depth, pose and scribbles instead of prompts alone, Apache-2.0
Easily modify and tune a Stable Diffusion VAE
Scriptable command-line image and animation generator for Stable Diffusion
The most-starred other Image projects in the LibreAI catalogue — the realistic shortlist if ml-stable-diffusion is not the right fit.
Stable Diffusion web UI
The node-graph powerhouse for precise, professional AI image and video generation.
High performance self-hosted photo and video management solution
Focus on prompting and generating
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
Free and open — grab the source, star the repo, and start creating.