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") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload UniversalUpscaler_0a965894-ce10-49e7-b15f-2f29c5bc648a.jpg
An endless horde of Gog and Magog spreads across mountains, forests, and fields. They are humanoid, tall, but strangely humanoid, with jagged teeth, human features, red-eyed eyes, black hair, and animalistic movements. Billions in number, they climb on top of each other, unstoppable and chaotic.
• Cinematic Elements:
• Lighting: The flickering firelight from the villages they destroy contrasts with the dark shadows of the swarm.
• Sound Design: The ground shakes with their billion-foot steps, accompanied by their unearthly screams and the sounds of destruction.
• Camera Movement: Aerial shots capture the enormity of the horde, while close-ups show their horrific details.
• Action:
Villages are trampled and consumed. Humans flee in terror but are soon overwhelmed. The camera focuses on a fallen child's toy as the swarm devours the scene.