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:
- e644905acfb7845f2339e2664becc0a56860c1d21ae09cb135f6ff137213ae60
- Size of remote file:
- 1.35 MB
- SHA256:
- 867675cd513c4d4a14e90b583c1a1c9a401b2a00fb0b67695da86513afbf31be
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