Instructions to use Lightricks/LTX-Video-ICLoRA-depth-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-depth-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-depth-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
Usable in diffusers?
#5
by TheBigBlockPC - opened
are thise LoRAs usable in duffesers, if yes can someone please provide example code to show how to use them and with the video input beccause the image/video conditioning in the implementation just uses the latent space which woudn't work for adding extra conditioning like depth