README.md

---
license: other
license_name: other
license_link: LICENSE
language:
- en
base_model:
- Lightricks/LTX-Video
pipeline_tag: text-to-video
tags:
- text-to-video
- image-to-video
- video-to-video
- ltx-video
- ltxv
- gguf-comfy
- gguf-node
widget:
- text: >-
    The turquoise waves crash against the dark, jagged rocks of the shore,
    sending white foam spraying into the air. The scene is dominated by the
    stark contrast between the bright blue water and the dark, almost black
    rocks. The water is a clear, turquoise color, and the waves are capped with
    white foam. The rocks are dark and jagged, and they are covered in patches
    of green moss. The shore is lined with lush green vegetation, including
    trees and bushes. In the background, there are rolling hills covered in
    dense forest. The sky is cloudy, and the light is dim.
  output:
    url: samples\ComfyUI_00003_.webp
- text: >-
    The camera pans across a cityscape of tall buildings with a circular
    building in the center. The camera moves from left to right, showing the
    tops of the buildings and the circular building in the center. The buildings
    are various shades of gray and white, and the circular building has a green
    roof. The camera angle is high, looking down at the city. The lighting is
    bright, with the sun shining from the upper left, casting shadows from the
    buildings. The scene is computer-generated imagery.
  output:
    url: samples\ComfyUI_00002_.webp
- text: >-
    Drone view of waves crashing against the rugged cliffs along Big Sur’s garay
    point beach. The crashing blue waters create white-tipped waves, while the
    golden light of the setting sun illuminates the rocky shore. A small island
    with a lighthouse sits in the distance, and green shrubbery covers the
    cliff’s edge. The steep drop from the road down to the beach is a dramatic
    feat, with the cliff’s edges jutting out over the sea. This is a view that
    captures the raw beauty of the coast and the rugged landscape of the Pacific
    Coast Highway.
  output:
    url: samples\ComfyUI_00001_.webp
- text: >-
    The new r2 seems giving a different result <<metadata>> q4
  output:
    url: samples\ComfyUI_00004_.webp
- text: >-
    The new r2 seems giving a different result <<metadata>> q4
  output:
    url: samples\ComfyUI_00005_.webp
- text: >-
    The new r2 seems giving a different result <<metadata>> f16
  output:
    url: samples\ComfyUI_00006_.webp
---

# **GGUF quantized and fp8 scaled versions of LTX-Video**

![screenshot](https://raw.githubusercontent.com/calcuis/comfy/master/ltxv.gif)

## **setup (once)**
- drag ltx-video-2b-v0.9.1-revised-q4_0.gguf ([1.08GB](https://huggingface.co/calcuis/ltxv-gguf/blob/main/ltx-video-2b-v0.9.1-revised-q4_0.gguf)) to > ./ComfyUI/models/diffusion_models
- drag t5xxl_fp16-q4_0.gguf ([2.9GB](https://huggingface.co/calcuis/ltxv-gguf/blob/main/t5xxl_fp16-q4_0.gguf)) to > ./ComfyUI/models/text_encoders
- drag ltx-video-vae.safetensors ([838MB](https://huggingface.co/calcuis/ltxv-gguf/blob/main/ltx-video-vae.safetensors)) to > ./ComfyUI/models/vae

## **run it straight (no installation needed way)**
- run the .bat file in the main directory (assuming you are using the gguf-node [pack](https://github.com/calcuis/gguf/releases) below)
- drag the workflow json file (below) to > your browser

### **workflow**
- example workflow for [gguf](https://huggingface.co/calcuis/ltxv-gguf/blob/main/workflow-ltxv-gguf.json) (see demo above)
- example workflow for the original [safetensors](https://huggingface.co/calcuis/ltxv-gguf/blob/main/workflow-ltxv-safetensors.json)

### **review**
- `q2_k` gguf is super fast but not usable; keep it for testing only
- surprisingly `0.9_fp8_e4m3fn` and `0.9-vae_fp8_e4m3fn` are working pretty good
- mix-and-match possible; you could mix up using the vae(s) available with different model file(s) here; test which combination works best
- you could opt to use the t5xxl scaled safetensors or t5xxl gguf (more quantized versions of t5xxl can be found [here](https://huggingface.co/chatpig/t5xxl/tree/main)) as text encoder
- **gguf-node** is available (see details [here](https://github.com/calcuis/gguf)) for running the new features (the point below might not be directly related to the model)
- you are able to make your own `fp8_e4m3fn` scaled safetensors and/or convert it to **gguf** with the new node via comfyui

### **reference**
- base model from [lightricks](https://huggingface.co/Lightricks/LTX-Video)
- comfyui from [comfyanonymous](https://github.com/comfyanonymous/ComfyUI)
- comfyui-gguf [city96](https://github.com/city96/ComfyUI-GGUF)
- gguf-comfy [pack](https://github.com/calcuis/gguf-comfy/releases)
- gguf-node ([pypi](https://pypi.org/project/gguf-node)|[repo](https://github.com/calcuis/gguf)|[pack](https://github.com/calcuis/gguf/releases))

<Gallery />