| --- |
| language: en |
| license: apache-2.0 |
| tags: |
| - text-to-video |
| - image-to-video |
| - wan-2.2 |
| - character-consistency |
| - bf16 |
| - diffusion-model |
| - comfyui |
| --- |
| |
| # Wan 2.2 Animate 14B BF16 — character-ID-preserving weights mirror |
|
|
| **Organization:** [WindstormLabs](https://huggingface.co/WindstormLabs) |
| **Used by:** [SceneMachine](https://huggingface.co/SceneMachine) |
|
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| SceneMachine is a sub-project of Windstorm Labs. This repo hosts shared AI/ML infrastructure used by SceneMachine and reusable by future Windstorm Labs sub-projects. |
|
|
| ## What this is |
|
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| Mirror of the Wan 2.2 Animate 14B BF16 weights. SceneMachine's character-consistency mode: reference image of a character + text prompt produces video preserving the character's identity. Validated 1.7 min/shot on a 32 GB-VRAM card with the Lightx2v 4-step LoRA from `wan22-loras` (8.3× speedup over baseline). REQUIRES `clip_vision_h.safetensors` from `wan22-encoders` (SigLIP won't work — LayerNorm shape mismatch). |
|
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| ## Upstream source |
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| Primary distribution: https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged |
| |
| This repo is a **mirror**. License terms of the upstream apply unchanged. |
| |
| **Primary license owner(s):** Alibaba (Wan 2.2 release) |
| |
| ## Files |
| |
| | Filename | Size | |
| |---|---| |
| | `wan2.2_animate_14B_bf16.safetensors` | 34.55 GB | |
|
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| **Total: 34.55 GB** |
|
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| ## Related repos |
|
|
| - The full SceneMachine model stack: search the [SceneMachine HF collection](https://huggingface.co/SceneMachine). |
| - Shared encoders and Wan VAE: [`WindstormLabs/wan22-encoders`](https://huggingface.co/WindstormLabs/wan22-encoders). |
| - Speed LoRAs: [`WindstormLabs/wan22-loras`](https://huggingface.co/WindstormLabs/wan22-loras). |
|
|
| ## Provenance |
|
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| Mirror created 2026-05-13 from local working copy on the SceneMachine development rig. Hashes preserved via HF's content-addressed storage. |
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| 🤖 Repo and README generated by [Claude Code](https://claude.com/claude-code) during a SceneMachine CTO session. |
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|
