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
- Xet hash:
- a617d08bd8b3e194b89384ac6e346e2c19259c12485b5a8b84f81855ada6e57c
- Size of remote file:
- 327 MB
- SHA256:
- 7929b4e4c3af4a0c5691be1be01554e79b18c45eff680210044d1d59ea61c0aa
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