guoyww/animatediff-motion-adapter-v1-5-2
text-to-video model by guoyww
From the publisher
Model card & documentation
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AnimateDiff is a method that allows you to create videos using pre-existing Stable Diffusion Text to Image models. It achieves this by inserting motion module layers into a frozen text to image model and training it on video clips to extract a motion prior. These motion modules are applied after the ResNet and Attention blocks in the Stable Diffusion UNet. Their purpose is to introduce coherent motion across image frames. To support these modules we introduce the concepts of a MotionAdapter and UNetMotionModel. These serve as a convenient way to use these motion modules with existing Stable…
Read the full model card ↗ · Preview checked 2026-10-29T00:33:46.695Z
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Model overview
guoyww/animatediff-motion-adapter-v1-5-2 is a text-to-video model repository published by guoyww on Hugging Face. The source reports the diffusers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-video
- Library
- diffusers
- Recent downloads (30 days)
- 27,150
- Cumulative likes
- 30
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 453,813,440
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2023-11-01T19:54:40.000Z
- Last modified
- 2023-11-03T13:17:16.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.159Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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