Instructions to use Lightricks/LTX-2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-2.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
IC-LoRAs
The model card says:
"It's extremely easy to reproduce the LoRAs and IC-LoRAs we publish with the model by following the instructions on the LTX-2 Trainer Readme."
May I ask where can I find these IC-LoRAs? Thanks
For the LTX-2.3 model the new loras will come here i bet: https://huggingface.co/collections/Lightricks/ltx-23 (soon)
And the "old" loras still work : https://huggingface.co/collections/Lightricks/ltx-2
The previous ones doesn't work unfortunately, at least for the depth one, there is no errors but also no effects
The previous ones doesn't work unfortunately, at least for the depth one, there is no errors but also no effects
yes you are right. Thought they would, but not the pose or depth at least