Instructions to use Lightricks/LTX-Video-ICLoRA-canny-13b-0.9.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-Video-ICLoRA-canny-13b-0.9.7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video-ICLoRA-canny-13b-0.9.7", 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:
- 3dabb7fe5a144396aa013244c79a84478bb2a550d00b42bd70aa39c12115bae3
- Size of remote file:
- 37.1 MB
- SHA256:
- a70c182ecf7477a8e291f89559b9ddd6bd1cb87aa41fc286c0d5fa853fbf64d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.