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Wan2.1_I2V_14B_FusionX-GGUF
QuantStack/Wan2.1_I2V_14B_FusionX-GGUF
Wan2.1_I2V_14B_FusionX-GGUF is a image-to-video model from QuantStack. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
This is a GGUF conversion of Wan14Bi2vFusioniXfp16.safetensors by @vrgamedevgirl84.
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.gguf184 GB · 100%
At a glance
- Task
- Image-to-Video
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Jun 11, 2025
- Updated
- Jun 11, 2025
- SHA
- 01e5e5ab
Base models
Spaces
Model card
From the Hugging Face model README
This is a GGUF conversion of Wan14Bi2vFusioniX_fp16.safetensors by @vrgamedevgirl84.
All quantized versions were created from the base I2V FP16 model using the conversion scripts provided by city96, available at the ComfyUI-GGUF GitHub repository.
Usage
The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders:
| Type | Name | Location | Download |
|---|---|---|---|
| Main Model | Wan2.1_I2V_14B_FusionX-GGUF | ComfyUI/models/unet | GGUF (this repo) |
| Text Encoder | umt5-xxl-encoder | ComfyUI/models/text_encoders | Safetensors / GGUF |
| VAE | Wan2_1_VAE_bf16 | ComfyUI/models/vae | Safetensors |
Notes
All original licenses and restrictions from the base models still apply.
Reference
- For an overview of quantization types, please see the GGUF quantization types.
- Task
- Image-to-Video
- Library
- gguf
- License
- apache-2.0
- Languages
- en
- Created
- Jun 11, 2025
- Updated
- Jun 11, 2025