Instructions to use qhillerich/LTX-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use qhillerich/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("qhillerich/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
Ctrl+K
- media
- scheduler
- text_encoder
- tokenizer
- transformer
- vae
- 3.41 kB
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- 16 kB
- 5.72 GB xet
- 16.1 kB
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- 16 kB
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- 15.7 GB xet
- 28.6 GB xet
- 15.7 GB xet
- 1.33 GB xet
- 28.6 GB xet
- 15.7 GB xet
- 28.6 GB xet
- 15.7 GB xet
- 28.6 GB xet
- 6.34 GB xet
- 6.34 GB xet
- 4.46 GB xet
- 6.34 GB xet
- 505 MB xet
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- 524 MB xet
- 412 Bytes
- 412 Bytes
- 4.79 kB