Instructions to use Lightricks/LTX-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-Video with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Add link to Replicate demo
#29
by fofr - opened
We've added LTX to Replicate here:
https://replicate.com/fofr/ltx-video
I'd love to move this to your organization, so the URL would be:
https://replicate.com/lightricks/ltx-video β please let me know if you're ok with that.
fofr changed pull request status to closed
Your version on replicate is old one . kindly update to new version of LTX - Video . which is 0.9.1