Instructions to use isfs/ltxv-2B-0.9.8-f16-Colab-Optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use isfs/ltxv-2B-0.9.8-f16-Colab-Optimized with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("isfs/ltxv-2B-0.9.8-f16-Colab-Optimized", 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:
- 7048c65782a64f0a2b4eda98063be7a0a0769323165b9b8cd7a848a0ad42beb9
- Size of remote file:
- 11.5 GB
- SHA256:
- f247511d8203727e31b69752ebe91de49e89ee9635d5d29c35de23ad18be2751
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