openai/guided-diffusion

Health v2 · maintenance only

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7419 stars · 914 forks observed · 2026-08-28

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

OpenAI's codebase for guided diffusion models from the paper 'Diffusion Models Beat GANs on Image Synthesis', including classifier conditioning and architecture improvements. It provides training code and pre-trained checkpoints for class-conditional and unconditional image generation at multiple resolutions.

Use cases

• generate images with diffusion models
• train a class-conditional diffusion model
• sample from pretrained ImageNet diffusion checkpoints
• upsample low-resolution images with a diffusion upsampler
• reproduce results from the guided diffusion paper
• experiment with classifier-guided image synthesis

When to choose

• you want to train or fine-tune diffusion models for image synthesis
• you need classifier-guided generation with OpenAI's pretrained checkpoints
• you're doing research on diffusion model architectures

When to avoid

• you need actively maintained code with recent dependency support
• you want a general-purpose image generation tool with a simple API
• you need text-to-image generation rather than class-conditional synthesis

Facets

library · maturity maintenance

machine-learning deep-learning image-processing deep-learning machine-learning image-processing python diffusion-models image-synthesis generative-models pretrained-models research-code gpu

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markdown · JSON · MCP: product_card(name="openai/guided-diffusion")