Instructions to use matanby/ltxv-13b-slime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matanby/ltxv-13b-slime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matanby/ltxv-13b-slime", 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:
- 03360782596ec12009489b04918569c982c5e5444bba3932a7fe3abb38c38613
- Size of remote file:
- 12.7 MB
- SHA256:
- b775c10ecc1e727d12ba13f9741609cc3e7516d62b8486c18e90c8b6c9f9d15e
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