CompVis/latent-diffusion

Health v2 · maintenance only

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14133 stars · 1733 forks observed · 2026-08-28

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

The official research code and pretrained model zoo for Latent Diffusion Models (LDM), the paper behind Stable Diffusion, enabling high-resolution image synthesis in a compressed latent space. It provides Jupyter notebooks, scripts, and checkpoints for text-to-image, class-conditional, and retrieval-augmented diffusion generation.

Use cases

• generate images from text prompts
• run pretrained latent diffusion models locally
• reproduce high-resolution image synthesis research
• experiment with retrieval-augmented diffusion models
• train or fine-tune diffusion models on custom datasets
• class-conditional ImageNet image generation

When to choose

• you want the original reference implementation of latent diffusion models
• you need pretrained checkpoints from the LDM paper for research
• you want to study or extend the codebase behind Stable Diffusion

When to avoid

• you want a production-ready or user-friendly Stable Diffusion tool - use diffusers or Automatic1111 instead
• you need actively maintained code with recent dependency support
• you lack a GPU or want CPU-only inference

Facets

library · maturity maintenance

machine-learning deep-learning image-processing stable-diffusion data-science deep-learning machine-learning artificial-intelligence image-processing computer-vision python cross-platform diffusion-models text-to-image generative-models research-code pytorch image-synthesis gpu linux

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