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 Settings
- Draw Things
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README.md
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| Max Grad Norm | 1.0 |
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| Target Modules | `to_q`, `to_k`, `to_v`, `to_out.0`, `ff.net.0.proj`, `ff.net.2` |
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### Stage 3: General + Hard Reasoning (
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| Config | Value |
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| Dataset | 240K general videos + 150K high-difficulty reasoning videos |
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| Max Grad Norm | 1.0 |
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| Target Modules | `to_q`, `to_k`, `to_v`, `to_out.0`, `ff.net.0.proj`, `ff.net.2` |
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### Stage 3: General + Hard Reasoning (390K)
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| Dataset | 240K general videos + 150K high-difficulty reasoning videos |
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