---
title: LTX-Video-gguf
canonical_url: "https://www.modelscope.cn/models/city96/LTX-Video-gguf"
md_url: "https://www.modelscope.cn/models/city96/LTX-Video-gguf.md"
repository: city96/LTX-Video-gguf
last_updated: 2024-12-18
license: other
pipeline_tag: image-to-video
tasks:
  - image-to-video
base_model:
  - Lightricks/LTX-Video
base_model_relation: quantized
parameters: 419.2M
tensor_type:
  - BF16
library_name:
  - gguf
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 2247
stars: 0
tags:
  - ltx-video
  - text-to-video
  - image-to-video
  - gguf
---

# LTX-Video-gguf

> LTX-Video-gguf - city96 在 ModelScope 开源的模型。This is a direct GGUF conversion of Lightricks/LTX-Video

city96/LTX-Video-gguf 是 ModelScope 魔搭社区上的 419.2M 参数image-to-video模型，采用 other 许可，基于 Lightricks/LTX-Video 构建。

- **Repository**: city96/LTX-Video-gguf
- **License**: other
- **Tasks**: image-to-video
- **Parameters**: 419.2M
- **Base model**: Lightricks/LTX-Video
- **Tags**: ltx-video, text-to-video, image-to-video, gguf
- **Downloads**: 2247
- **Stars**: 0
- **Last updated**: 2024-12-18

Source: https://www.modelscope.cn/models/city96/LTX-Video-gguf

---

This is a direct GGUF conversion of [Lightricks/LTX-Video](https://huggingface.co/Lightricks/LTX-Video)

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.

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.