Instructions to use optimum-intel-internal-testing/tiny-random-ltx-video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-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("optimum-intel-internal-testing/tiny-random-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:
- 7cf9d740cef662aa49dbdb2d4b04f75950c7c999f46a828e8d2b1959db21e9ea
- Size of remote file:
- 290 kB
- SHA256:
- 78228b208251b6a2d776770dcc69889ff932203ef63768ef684180c1adf0ed79
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