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
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README.md
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- ic-lora
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base_model: Lightricks/LTX-2.3-22B-Dev
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# Multi-Reference Pseudo-Video Context IC-LoRA (Test Version)
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## Usage
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## Results Showcase
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- ic-lora
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- ltx-2
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base_model: Lightricks/LTX-2.3-22B-Dev
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github: https://github.com/liconstudio/ComfyUI-Licon-MSR
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# Multi-Reference Pseudo-Video Context IC-LoRA (Test Version)
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## Usage
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This LoRA requires the **[ComfyUI-Licon-MSR](https://github.com/liconstudio/ComfyUI-Licon-MSR)** plugin for ComfyUI. A sample workflow is included in the model files for easy testing and experimentation.
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## Results Showcase
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