Text-to-Video
Diffusers
Safetensors
English
LTX2Pipeline
fp8
int8
unsloth
quantized
ltx-2.5
image-to-video
video-generation
Instructions to use unsloth/LTX-2.5-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use unsloth/LTX-2.5-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("unsloth/LTX-2.5-FP8", dtype=torch.bfloat16, device_map="cuda") prompt = "A blue humanoid robot with a glowing yellow ring for a face stands in a bright warehouse aisle (INT8-ConvRot)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Ctrl+K