| --- |
| license: apache-2.0 |
| base_model: Wan-AI/Wan2.1-T2V-1.3B |
| pipeline_tag: video-to-video |
| library_name: pytorch |
| tags: |
| - video-generation |
| - camera-control |
| - wan |
| - rerope |
| --- |
| |
| # ReRoPE V2V checkpoint |
|
|
| Inference-only V2V weights for **ReRoPE**, based on |
| [Wan2.1-T2V-1.3B](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B). |
|
|
| ## Files |
|
|
| | File | Parameters | Dtype | Size | SHA-256 | |
| | --- | ---: | --- | ---: | --- | |
| | `rerope_v2v_wan21_1.3b.safetensors` | 1,418,996,800 | bfloat16 | 2,838,077,456 bytes | `31f74e89840b9ff213a4adf22c0e31d69ec5e6edacf793b00c51c475767d6ee8` | |
|
|
| The file contains 825 tensors and only the inference state dictionary. Optimizer |
| state, trainer state, datasets, and local paths are not included. |
|
|
| ## Usage |
|
|
| Use these weights with the inference code at |
| [github.com/Sisyphe-lee/ReRoPE_](https://github.com/Sisyphe-lee/ReRoPE_). |
|
|
| The Wan2.1 base model is required separately. See the GitHub README for the |
| expected directory layout and V2V command. |
|
|
| ## Scope |
|
|
| This initial model release contains one V2V checkpoint. The repository includes |
| I2V inference code, but no I2V ReRoPE checkpoint is released. |
|
|
|
|
