Instructions to use LiconStudio/Ltx2.3-VBVR-lora-I2V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiconStudio/Ltx2.3-VBVR-lora-I2V with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LiconStudio/Ltx2.3-VBVR-lora-I2V") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
LoRA strength?
#7
by javawock7618 - opened
Thanks for the great work. In 240K ver, what strength do you recommend? In my case, 0.85-1.0 gives good results. For reference, I'm using distilled 1.1.
Thanks for the great work. In 240K ver, what strength do you recommend? In my case, 0.85-1.0 gives good results. For reference, I'm using distilled 1.1.
Similar to me, 0.8-1.0 will show better results, and you may need some other lora to help you improving.