Instructions to use kabachuha/ltx23-paste with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kabachuha/ltx23-paste 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.load_lora_weights("kabachuha/ltx23-paste") prompt = "KABAPASTE The girl is squeezed from a tube like paste." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- b8185aa352df2496e7c321ff64aa3560f4b632c5e9b734a81196043dc3234583
- Size of remote file:
- 688 kB
- SHA256:
- 12ce39d91802891e343c82b19d907c0fecd68133636d3c14d098cd1808c209ca
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