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This GGUF file is a direct conversion of alibaba-pai/Wan2.2-Fun-A14B-Control
Modellquelle
Quellenbeschreibung
This GGUF file is a direct conversion of alibaba-pai/Wan2.2-Fun-A14B-Control
Quellen
1 QuelleVerifiziert 2. Okt.
Modellartefakte
26 ArtefakteHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q2_K.gguf
gguf · 4,95 GB · SHA-256 360f66347a19…4ae9 · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q3_K_M.gguf
gguf · 6,69 GB · SHA-256 00eafe97512a…6a46 · Hugging Face
HerunterladenQuellenauszüge
2 Auszüge| Type | Name | Location | Download |
|---|
| Main Model | Wan2.2-Fun-A14B-Control | ComfyUI/models/unet | GGUF (this repo) |
| Text Encoder | Umt5-xxl | ComfyUI/models/text_encoders | Safetensors / GGUF |
| VAE | Wan2.1_VAE.safetensors | ComfyUI/models/vae | Safetensors |
Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.
Usage
The model can be used with the ComfyUI custom node ComfyUI-GGUF by city96
Place model files in ComfyUI/models/unet see the GitHub readme for further installation instructions.
HighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q3_K_S.gguf
gguf · 6,08 GB · SHA-256 b1af146d9221…2e45 · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q4_0.gguf
gguf · 7,98 GB · SHA-256 6ebdfc44628d…3825 · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q4_1.gguf
gguf · 8,63 GB · SHA-256 4dd6bfe6a573…76e7 · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q4_K_M.gguf
gguf · 9,00 GB · SHA-256 bb95cc5edbc8…1ff0 · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q4_K_S.gguf
gguf · 8,16 GB · SHA-256 d5da46469d0a…bcca · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q5_0.gguf
gguf · 9,62 GB · SHA-256 c4b6834e41bd…3c8f · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q5_1.gguf
gguf · 10,3 GB · SHA-256 e486a7372513…06ea · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q5_K_M.gguf
gguf · 10,1 GB · SHA-256 31d8be7bba67…23ff · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q5_K_S.gguf
gguf · 9,45 GB · SHA-256 993bf0c30cdc…4e6e · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q6_K.gguf
gguf · 11,2 GB · SHA-256 23b4499d883d…73b4 · Hugging Face
HerunterladenHighNoise/Wan2.2-Fun-A14B-Control_HighNoise-Q8_0.gguf
gguf · 14,4 GB · SHA-256 99b5cefd08e1…6a0b · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q2_K.gguf
gguf · 4,95 GB · SHA-256 c11e556d2d31…d4fc · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q3_K_M.gguf
gguf · 6,69 GB · SHA-256 738031cd1ae2…ad4c · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q3_K_S.gguf
gguf · 6,08 GB · SHA-256 7581d8e1f4d4…d4cf · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q4_0.gguf
gguf · 7,98 GB · SHA-256 82325535e6d1…b622 · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q4_1.gguf
gguf · 8,63 GB · SHA-256 2b6aff42b297…6556 · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q4_K_M.gguf
gguf · 9,00 GB · SHA-256 2cc00a7ecb5e…6894 · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q4_K_S.gguf
gguf · 8,16 GB · SHA-256 1a21458840ca…b4f6 · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q5_0.gguf
gguf · 9,62 GB · SHA-256 0b9775f227dc…cdef · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q5_1.gguf
gguf · 10,3 GB · SHA-256 6b35b3d4505b…3f71 · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q5_K_M.gguf
gguf · 10,1 GB · SHA-256 e6792bd412a3…5ed1 · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q5_K_S.gguf
gguf · 9,45 GB · SHA-256 4457e60f9d34…8b62 · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q6_K.gguf
gguf · 11,2 GB · SHA-256 df592bc12006…4c3b · Hugging Face
HerunterladenLowNoise/Wan2.2-Fun-A14B-Control_LowNoise-Q8_0.gguf
gguf · 14,4 GB · SHA-256 dc05a89bd99d…d199 · Hugging Face
Herunterladen--- language: - en - zh license: apache-2.0 base_model: - alibaba-pai/Wan2.2-Fun-A14B-Control library_name: gguf pipeline_tag: text-to-video --- This GGUF file is a direct conversion of [alibaba-pai/Wan2.2-Fun-A14B-Control](https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control) Type | Name | Location | Download | ------------ | -------------------------------------------------- | --------------------------------- | ------------------------- | Main Model | Wan2.2-Fun-A14B-Control | `ComfyUI/models/unet` | GGUF (this repo) | Text Encoder | Umt5-xxl | `ComfyUI/models/text_encoders` | [Safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders) / [GGUF](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main) | | VAE | Wan2.1_VAE.safetensors | `ComfyUI/models/vae` | [Safetensors](https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/VAE) | Since this is a quantized model, all original licensing terms and usage restrictions remain in effect. **Usage** The model can be used with the ComfyUI custom node [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) by [city96](https://huggingface.co/city96) Place model files in `ComfyUI/models/unet` see the GitHub readme for further installation instructions.
Source context: 9443 downloads · 40 likes · Pipeline text-to-video · Library gguf · Repo QuantStack/Wan2.2-Fun-A14B-Control-GGUF
