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
Commit ·
e733c0b
0
Parent(s):
Pre-trained checkpoints
Browse files- .gitattributes +35 -0
- README.md +53 -0
- fuse_blocks.bin +3 -0
- iter_016000/unet/config.json +73 -0
- iter_016000/unet/diffusion_pytorch_model.bin +3 -0
- lrm/iter_008000/aux_net.bin +3 -0
.gitattributes
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README.md
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---
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base_model:
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- stabilityai/stable-diffusion-2
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pipeline_tag: image-to-image
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library_name: diffusers
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tags:
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- reflection-removal
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- reflection-separation
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- image-restoration
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- diffusion
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- stable-diffusion
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- cvpr2026
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---
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# Reflection Separation from a Single Image via Joint Latent Diffusion
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Pre-trained checkpoints for the CVPR 2026 paper. Given a single photo taken
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through glass, the model jointly generates the **transmission** and
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**reflection** layers.
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- 🌐 Project page: https://brian90709.github.io/diff-reflection-separation/
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- 💻 Code: https://github.com/Brian90709/diff-reflection-separation-code
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- 📄 Paper: arXiv (coming soon)
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[Zheng-Hui Huang](https://github.com/Brian90709), [Zhixiang Wang](https://lightchaserx.github.io), [Yu-Lun Liu](https://yulunalexliu.github.io), [Yung-Yu Chuang](https://www.csie.ntu.edu.tw/~cyy/)
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## Files
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| File | Size | Description |
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| --- | --- | --- |
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| `iter_016000/unet/diffusion_pytorch_model.bin` | ~3.5 GB | Trained layer-separation UNet. |
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| `fuse_blocks.bin` | ~264 MB | CFW refiner for the VAE decoder. |
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| `lrm/iter_008000/aux_net.bin` | ~1.3 MB | Latent composition module (LRM), used by `--optimization`. |
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## Usage
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Download the weights into `./checkpoints`, then follow the
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[code repository](https://github.com/Brian90709/diff-reflection-separation-code):
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```bash
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huggingface-cli download Brian9999/diff-reflection-separation --repo-type model --local-dir ./checkpoints
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```
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## Citation
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```bibtex
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@inproceedings{huang2026reflection,
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title = {Reflection Separation from a Single Image via Joint Latent Diffusion},
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author = {Huang, Zheng-Hui and Wang, Zhixiang and Liu, Yu-Lun and Chuang, Yung-Yu},
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booktitle = {CVPR},
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year = {2026}
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}
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```
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fuse_blocks.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec25a78ead2d6da001dee231a046a8f39ddc435e4fc5190dbb77005099db7286
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size 264297122
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iter_016000/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.31.0.dev0",
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"_name_or_path": "/home/hhh/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2/snapshots/1e128c8891e52218b74cde8f26dbfc701cb99d79/unet",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim": [
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5,
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10,
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20,
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20
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],
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"attention_type": "default",
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 1024,
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"cross_attention_norm": null,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dropout": 0.0,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 8,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": null,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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"sample_size": 96,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": 1,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
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"upcast_attention": false,
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"use_linear_projection": true
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}
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iter_016000/unet/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b27f744b524588624b16ec7ced9b688b3518e9c74ef31eae8fd3c9b0d4910133
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size 3463944196
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lrm/iter_008000/aux_net.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b1a5549aa62c130e25bd89cfc6bdede1a3507564f8e395a379d861f17ac91c1
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size 1289162
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