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:
- a81bddc8313afc74200ac1237d7067bf5240f6c5ac283ee3a37a0e977791504a
- Size of remote file:
- 1.83 MB
- SHA256:
- 18c5619bb430e23451980515d237d0ebf5ca25adb01eba18bbe7d2d9f463ca82
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