---
title: Wan2.1-I2V-14B-480P-gguf
canonical_url: "https://www.modelscope.cn/models/city96/Wan2.1-I2V-14B-480P-gguf"
md_url: "https://www.modelscope.cn/models/city96/Wan2.1-I2V-14B-480P-gguf.md"
repository: city96/Wan2.1-I2V-14B-480P-gguf
last_updated: 2025-02-27
license: apache-2.0
pipeline_tag: image-to-video
tasks:
  - image-to-video
base_model:
  - Wan-AI/Wan2.1-I2V-14B-480P
base_model_relation: quantized
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - zh
downloads: 18177
stars: 25
tags:
  - video
  - video-generation
  - gguf
---

# Wan2.1-I2V-14B-480P-gguf

> Wan2.1-I2V-14B-480P-gguf - city96 在 ModelScope 开源的模型。This is a direct GGUF conversion of Wan-AI/Wan2.1-I2V-14B-480P

city96/Wan2.1-I2V-14B-480P-gguf 是 ModelScope 魔搭社区上的image-to-video模型，采用 apache-2.0 许可，基于 Wan-AI/Wan2.1-I2V-14B-480P 构建。

- **Repository**: city96/Wan2.1-I2V-14B-480P-gguf
- **License**: apache-2.0
- **Tasks**: image-to-video
- **Base model**: Wan-AI/Wan2.1-I2V-14B-480P
- **Tags**: video, video-generation, gguf
- **Downloads**: 18177
- **Stars**: 25
- **Last updated**: 2025-02-27

Source: https://www.modelscope.cn/models/city96/Wan2.1-I2V-14B-480P-gguf

---

This is a direct GGUF conversion of [Wan-AI/Wan2.1-I2V-14B-480P](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P)

All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF.

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 other files required can be downloaded from [this repository by Comfy-Org](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files)

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.