Video-to-Video
Diffusers
English
ltx-video
ltx-2.3
ic-lora
low-light
shadow-reconstruction
generative-video
vfx
lighting
Instructions to use FuzzPuppy/LTX-2.3-Black-Magic-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FuzzPuppy/LTX-2.3-Black-Magic-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FuzzPuppy/LTX-2.3-Black-Magic-LoRA", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Restore this underexposed video to a natural, well-exposed version with realistic colors and recovered shadow detail. A woman performs poi fire dancing. She has her back to the camera and is facing an audience." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Optimize example videos for progressive playback
Browse files- examples/back-poi.mp4 +2 -2
- examples/dance-couple.mp4 +2 -2
- examples/firepit-house.mp4 +2 -2
- examples/men-snow.mp4 +2 -2
- examples/monkey.mp4 +2 -2
- examples/owl.mp4 +2 -2
- examples/poi-festival.mp4 +2 -2
- examples/porcupine.mp4 +2 -2
- examples/tiger.mp4 +2 -2
examples/back-poi.mp4
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examples/dance-couple.mp4
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examples/firepit-house.mp4
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examples/men-snow.mp4
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examples/monkey.mp4
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examples/owl.mp4
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examples/poi-festival.mp4
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examples/porcupine.mp4
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examples/tiger.mp4
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