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:
- 27891c09fc9729c7c9239f7470b9f9f6e1cb5b83598c82766614f8e5fff697eb
- Size of remote file:
- 264 MB
- SHA256:
- ec25a78ead2d6da001dee231a046a8f39ddc435e4fc5190dbb77005099db7286
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