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
Has anyone successfully chained multiple MSR LORA V2 videos together?
#31
by mywrongtimeline - opened
Has anyone successfully chained shots together with the MSR LORA V2 in play?
When I use the last frame of the first shot and feed it in as the first frame of the next shot, there is a period of adjustment of about 24 frames where the lighting changes as well as small details. Would like to make the transition more seamless like simple image to video transitions.
Has anyone else run into this issue?