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
IC-LoRA-Ingredients the new competitor!!
its the new competitor!
https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-Ingredients
So,how its feeling, I didnt test yet
I think, first of all, there’s no limit on the number of references, because everything is defined within a single sheet.
That makes it easier to control, more compliant with the instructions, and ultimately increases the chances of getting a better output.
I think, first of all, there’s no limit on the number of references, because everything is defined within a single sheet.
That makes it easier to control, more compliant with the instructions, and ultimately increases the chances of getting a better output.
Well, sounds better than MSR
as ingredients pack everything into one sheet, it loses details. MSR wins in many ways