Instructions to use philgram/LTX-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use philgram/LTX-Video with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("philgram/LTX-Video", 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
- Xet hash:
- 120dccac10db0044c5d90f607fa220c5d33cf2b9150beb795962ee554d1f59e3
- Size of remote file:
- 1.68 GB
- SHA256:
- 265ca87cb5dff5e37f924286e957324e282fe7710a952a7dafc0df43883e2010
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