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Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-GGUF
QuantStack/Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-GGUF
Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-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 an addon of lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill and Wan-AI/Wan2.1-VACE-14B scopes.
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.gguf195 GB · 100%
At a glance
- Task
- Image-to-Video
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Jun 16, 2025
- Updated
- Jun 17, 2025
- SHA
- a4b2f6f6
Base models
Model card
From the Hugging Face model README
This is a GGUF conversion of an addon of lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill and Wan-AI/Wan2.1-VACE-14B scopes.
The process involved extracting VACE scopes and injecting into the target models, using scripts provided by wsbagnsv1.
All quantized versions were created from the 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_T2V_14B_LightX2V_Step_Cfg_Distill_VACE-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 16, 2025
- Updated
- Jun 17, 2025