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
Great LoRA! Interesting for training
Hi, thanks your great work! Currently I'm working on related research, and I'm interested on how you train this model, and what's the dataset?
Hi, thanks your great work! Currently I'm working on related research, and I'm interested on how you train this model, and what's the dataset?
I'll publish the training details with the next version, but the inference workflow may already give you some hints.
Hi, thanks your great work! Currently I'm working on related research, and I'm interested on how you train this model, and what's the dataset?
I'll publish the training details with the next version, but the inference workflow may already give you some hints.
大佬不是被收购了么,居然还拥有后续版本,期待啊!!!
Hi, thanks your great work! Currently I'm working on related research, and I'm interested on how you train this model, and what's the dataset?
I'll publish the training details with the next version, but the inference workflow may already give you some hints.
大佬不是被收购了么,居然还拥有后续版本,期待啊!!!
是被收购了,但是开源可以,不过有条件