siliconflow/ComfyUI-DiffBIR

siliconflow/ComfyUI-DiffBIR

Language: Python

License: NOASSERTION

Stars: 0

Forks: 0

Open issues: 0

Created: 2026-01-06T08:36:08Z

Pushed: 2026-01-06T10:53:10Z

Default branch: main

Fork: yes

Parent repository: jtscmw01/ComfyUI-DiffBIR

Archived: no

README:

ComfyUI DiffBIR

Comfyui-DiffBIR is a comfyui implementation of offical DiffBIR. DiffBIR v2 is an awesome super-resolution algorithm. If you find this repo helpful, please don't hesitate to give it a star. Thank you! ❤️❤️❤️

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TODO:

• 2024.05.10 ✅ repo create
• 2024.05.11 ✅ sampler implement
• 2024.05.11 ✅ stage2 load implement
• 2024.05.12 ✅ stage1 load implement
• 2024.05.12 ✅ stage1 tile implement
• 2024.05.12 ✅ simple load implement
• 2024.05.12 ✅ sampler update
• 2024.05.12 ✅ sampler advanced
• 2024.05.14 ✅ readme update
• 2024.05.14 ✅ bsr workflow
• 2024.05.16 ✅ bfr support
• 2024.05.16 ✅ bid support
• 2024.05.16 ✅ bfr and bid workflow
• 2024.05.21 ✅ support fp16 inference, now it can run on an 8GB GPU
• [ ] multi images support
• [ ] stage1 and stage2 sampler split

Visual Results

Blind Image Super-Resolution

| low resolution image | super resolution image | |:---------------------------------:|:---------------------------------:| |  | | |  | |

Blind Face Restoration

| low resolution image | super resolution image | |:---------------------------------:|:---------------------------------:| |  | | |  | |

Blind Image Denoising

| low resolution image | super resolution image | |:---------------------------------:|:---------------------------------:| |  | | |  | |

Installing

Step 1: clone the repo and install the dependencies

To install ComfyUI-DiffBIR in addition to an existing installation of ComfyUI, you can follow the following steps: 1. cd custom_nodes 2. git clone https://github.com/ComfyUI/ComfyUI-DiffBIR 3. pip install -r requirements.txt 4. Restart ComfyUI

Step 2: download the pretrained model

put the models into ComfyUI/models/diffbir/ | model | download link | Baidu Netdisk | |:--------------:|:------------------------------------------------------------------------------------------------------------------------------:|---------------| | bsrnet | BSRNet.pth | | | swinir_face | face_swinir_v1.ckpt | | | scunet_psnr | scunet_color_real_psnr.pth | | | swinir_general | general_swinir_v1.ckpt | | | v2 | v2.pth | | | sd_v21 | v2-1_512-ema-pruned.ckpt | |

Workflows

| task | workflow | |:------------------------:|:----------------------------------------------------------------------:| | Blind Super Resolution | [ bsr_workflow.json ]( example_workflows/bsr_workflow_fp32.json ) | | Blind Face Restoration | [ bfr_workflow.json ]( example_workflows/bfr_workflow_fp32.json ) | | Blind Image Denoising | [ bid_workflow.json ]( example_workflows/bid_workflow_fp32.json ) |