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:
- db8ed338fb02434f6df203e11ec0cba00c3e9963f5dd21034fb7d4bb9c12aec4
- Size of remote file:
- 10.5 MB
- SHA256:
- a5ea4290fc3b892b322fa24f6b2081d469169e4d5a816b95cb21cbd2d618bae5
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