ModelPrésentéExterne

Wan 2.2 I2V A14B HighNoise Q4 K M

This GGUF file is a direct conversion of Wan-AI/Wan2.2-I2V-A14B

Sourcehuggingface.co/wanabmeya/Wan2.2-I2V-A14B-HighNoise-Q4_K_M/tree/a6b3fc9dcb4d63fdbdbd65d2cce879e606a31d80

TypeOtherModèle de baseWan-AI/Wan2.2-I2V-A14BVersiona6b3fc9dcb4d63fdbdbd65d2cce879e606a31d80BClasse

Source du modèle

Type: Other
Taille du fichier: 242 MB–14,3 GB
Modèle de base: Wan-AI/Wan2.2-I2V-A14B
Version: va6b3fc9dcb4d63fdbdbd65d2cce879e606a31d80
Mis à jour: 30 juil. 2026
Source: Hugging Face

Description de la source

This GGUF file is a direct conversion of Wan-AI/Wan2.2-I2V-A14B

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

Ressources connexes

2 connexions

Utilisé parWan 2.2 Long video via multi-step actions — v1.1 Utilisé parWan2.2_I2V_infinity_video_part_by_part(PPP)_max_consistency_FaceReactor_1.0 — v1.4

Sources

1 source

Hugging FacePrincipalVersion a6b3fc9dcb4d63fdbdbd65d2cce879e606a31d80

huggingface.co/wanabmeya/Wan2.2-I2V-A14B-HighNoise-Q4_K_M/tree/a6b3fc9dcb4d63fdbdbd65d2cce879e606a31d80

Vérifié 30 juil.

Artefacts du modèle

25 artefacts

HighNoise/Wan2.2-I2V-A14B-HighNoise-Q2_K.gguf

gguf · 4,94 GB · SHA-256 8426c0c02a28…a8c1 · Hugging Face

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HighNoise/Wan2.2-I2V-A14B-HighNoise-Q3_K_M.gguf

gguf · 6,68 GB · SHA-256 ac3a72d74330…d940 · Hugging Face

Télécharger

Extraits de sources

2 extraits

Readme30 juil.huggingface.co/wanabmeya/Wan2.2-I2V-A14B-HighNoise-Q4_K_M

--- license: apache-2.0 base_model: - Wan-AI/Wan2.2-I2V-A14B library_name: gguf pipeline_tag: image-to-video language: - en - zh --- This GGUF file is a direct conversion of [Wan-AI/Wan2.2-I2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B) 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.