Instructions to use LiconStudio/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 LiconStudio/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("LiconStudio/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
Will Chinese prompts work better than English?
#21
by Karpedm - opened
Thank you for making this great solution, which has great potential I think.
I just wonder: if I write prompts in Chinese, would it work better?
Thank you for making this great solution, which has great potential I think.
I just wonder: if I write prompts in Chinese, would it work better?
I trained in Chinese, but the tests still show better results in Eng