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:
- d80a06b905889c1792dc4428929a24c1f3bf80053691bd79840b9678684bbe9c
- Size of remote file:
- 191 MB
- SHA256:
- 3d74deb41b38adc55f98bf93e6c098b638cb4a45d9e7ad49eff671d41fcc9f51
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