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:
- a3a163c99f4acb2e1c80f0003acd0dcf86a93661e74370d4f6b3907aabfc98d9
- Size of remote file:
- 6.34 GB
- SHA256:
- 76aa8c4786af752fa6f951947129d5290c3c6c0b2fadcadea6b5e114ae2cad8f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.