Text-to-Video
Diffusers
LTX2VideoPipeline
custom_ltx2
video-generation
image-to-video
audio-to-video
quantized
4-bit precision
int4
svdquant
ltx-2
ltx-2.5
quantfunc
Instructions to use QuantFunc/LTX-2.5-QuantFunc-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QuantFunc/LTX-2.5-QuantFunc-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("QuantFunc/LTX-2.5-QuantFunc-4bit", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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