Instructions to use jongking/LTX-2.3-Multiple-Subject-Reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jongking/LTX-2.3-Multiple-Subject-Reference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jongking/LTX-2.3-Multiple-Subject-Reference", 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:
- 50f868018ff7f002cd7e0308a3376dcae3fd1992f572fe823c69c00ac8180369
- Size of remote file:
- 2.87 MB
- SHA256:
- 9fc431aed31d2e0b4d7c6bccca7f4f0dde0edbe88dac04f1e72a01750a85709e
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