Image-to-Image
Diffusers
reflection-removal
reflection-separation
image-restoration
diffusion
stable-diffusion
cvpr2026
Instructions to use Brian9999/diff-reflection-separation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Brian9999/diff-reflection-separation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Brian9999/diff-reflection-separation", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2236675101b62c0748b8b4602f44627487f009324f7923884d36aa9bdc42050f
- Size of remote file:
- 3.46 GB
- SHA256:
- b27f744b524588624b16ec7ced9b688b3518e9c74ef31eae8fd3c9b0d4910133
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