nateraw/stable-diffusion-videos

Health v2 · maintenance only

Adoption not part of the score

4705 stars · 444 forks observed · 2026-08-28

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

A Python library for generating videos with Stable Diffusion by walking the latent space and morphing between text prompts. It supports beat-synced music videos and is built on Hugging Face diffusers.

Use cases

• generate videos from stable diffusion prompts
• morph between two text prompts in latent space
• make ai art videos synced to music
• create smooth transitions between generated images
• walk the stable diffusion latent space
• make music videos with stable diffusion

When to choose

• you want prompt-to-prompt morph videos with stable diffusion
• you want audio-driven interpolation synced to a song
• you want a simple pip-installable API on top of diffusers

When to avoid

• you need text-to-video models like ModelScope or AnimateDiff
• you need real-time or production video generation at scale
• you have no GPU available

Facets

library · maturity maintenance

stable-diffusion video-processing image-processing machine-learning artificial-intelligence image-processing media python cross-platform stable-diffusion latent-space text-to-video diffusers ai-art music-videos huggingface video gpu

Member repositories

For agents

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