ModelPrésentéExterne

HunyuanVideo GGUF

tencent-hunyuan-community

Sourcehuggingface.co/city96/HunyuanVideo-gguf/tree/6869e07d25cffdff09f7c10a79887ac24217b67b

TypeModèleModèle de basetencent/HunyuanVideoVersionHunyuan video t2v 720p BF16

Source du modèle

Type: Modèle
Taille du fichier: 5,67–23,9 GB
Modèle de base: tencent/HunyuanVideo
Version: vHunyuan video t2v 720p BF16
Mis à jour: 15 oct. 2026
Source: Hugging Face

Description de la source

This is a direct GGUF conversion of tencent/HunyuanVideo

It is intended to be used with the native, built-in ComfyUI HunyuanVideo nodes

As this is a quantized model not a finetune, all the same restrictions/original license terms still apply.

The model files can be used with the ComfyUI-GGUF custom node.

Place model files in - see the GitHub readme for further install instructions.

Sources

1 source

Hugging FacePrincipalVersion 6869e07d25cffdff09f7c10a79887ac24217b67b

huggingface.co/city96/HunyuanVideo-gguf/tree/6869e07d25cffdff09f7c10a79887ac24217b67b

Vérifié 15 oct.

Artefacts du modèle

13 artefacts

hunyuan-video-t2v-720p-BF16.gguf

gguf · 23,9 GB · SHA-256 8e7e662e495f…e2ac · Hugging Face

Télécharger

hunyuan-video-t2v-720p-Q3_K_M.gguf

gguf · 5,81 GB · SHA-256 4074e7f982fa…d3f4 · Hugging Face

Télécharger

Extraits de sources

2 extraits

Readme15 oct.huggingface.co/city96/HunyuanVideo-gguf

--- base_model: tencent/HunyuanVideo library_name: gguf quantized_by: city96 tags: - text-to-video license: other license_name: tencent-hunyuan-community license_link: LICENSE.md --- This is a direct GGUF conversion of [tencent/HunyuanVideo](https://huggingface.co/tencent/HunyuanVideo) **It is intended to be used with the native, built-in ComfyUI HunyuanVideo nodes** As this is a quantized model not a finetune, all the same restrictions/original license terms still apply. The model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions. The VAE can be downloaded from [this repository by Kijai](https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hunyuan_video_vae_bf16.safetensors) Please refer to [this chart](https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard) for a basic overview of quantization types.