CompVis/stable-diffusion

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

73487 stars · 10565 forks observed · 2026-10-11

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The original reference implementation of Stable Diffusion, a latent text-to-image diffusion model trained on LAION-5B data with a CLIP text encoder and 860M UNet. It provides code for generating images from text prompts, plus inpainting and other image synthesis tasks, runnable on a GPU with ~10GB VRAM.

Use cases

• generate images from text prompts
• run stable diffusion locally on my gpu
• inpaint or edit parts of an image with a diffusion model
• experiment with latent diffusion model code
• download and use stable diffusion v1 model weights
• do research on text-to-image diffusion models

When to choose

• you want the original reference implementation and model weights for Stable Diffusion v1
• you need a relatively lightweight text-to-image model that fits in ~10GB VRAM
• you are doing academic research on latent diffusion models

When to avoid

• you want a production-ready or actively maintained inference stack - use diffusers or newer Stable Diffusion releases instead
• you need the latest model versions like SDXL or SD3
• you have no GPU available
• your use case conflicts with the model's CreativeML OpenRAIL license restrictions

Facets

library · maturity maintenance

machine-learning image-processing deep-learning machine-learning image-processing artificial-intelligence python windows stable-diffusion text-to-image diffusion-models latent-diffusion generative-ai image-generation research-code gpu linux macos

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markdown · JSON · MCP: product_card(name="CompVis/stable-diffusion")