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  library_name: diffsynth
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  license: cc-by-4.0
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  pipeline_tag: image-to-video
 
 
 
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  tags:
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  - video-generation
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  - world-model
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  - memory
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  - action-conditioned
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  - wan
 
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  ---
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  # Echo-Memory — Wan 2.1 1.3B memory checkpoints
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  Validated **30,000-step** fine-tunes for [Echo-Memory](https://github.com/Echo-Team-Joy-Future-Academy-JD/Echo-Memory), built on [Wan-AI/Wan2.1-T2V-1.3B](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B).
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- [Paper](https://huggingface.co/papers/2606.09803) | [Project page](https://echo-team-joy-future-academy-jd.github.io/Echo-Memory/) | [Training and inference code](https://github.com/Echo-Team-Joy-Future-Academy-JD/Echo-Memory)
 
 
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  ## Available checkpoints
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  library_name: diffsynth
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  license: cc-by-4.0
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  pipeline_tag: image-to-video
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+ base_model:
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+ - Wan-AI/Wan2.1-T2V-1.3B
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+ arxiv: 2606.09803
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  tags:
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  - video-generation
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  - world-model
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  - memory
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  - action-conditioned
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  - wan
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+ - image-to-video
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  ---
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  # Echo-Memory — Wan 2.1 1.3B memory checkpoints
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  Validated **30,000-step** fine-tunes for [Echo-Memory](https://github.com/Echo-Team-Joy-Future-Academy-JD/Echo-Memory), built on [Wan-AI/Wan2.1-T2V-1.3B](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B).
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+ [Paper](https://huggingface.co/papers/2606.09803) · [Project page](https://echo-team-joy-future-academy-jd.github.io/Echo-Memory/) · [Code](https://github.com/Echo-Team-Joy-Future-Academy-JD/Echo-Memory) · [**Interactive demo**](https://huggingface.co/spaces/hugging-apps/echo-memory) · [Dataset](https://huggingface.co/datasets/Echo-Team/Echo-Memory-Data)
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+ Try the model in the browser (ZeroGPU, no local GPU): **[hugging-apps/echo-memory](https://huggingface.co/spaces/hugging-apps/echo-memory)**
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  ## Available checkpoints
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