64 lines
2.5 KiB
Markdown
64 lines
2.5 KiB
Markdown
# FM_nodes
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A collection of ComfyUI nodes.
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Click name to jump to workflow
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1. [**WFEN Face Restore**](#wfen). Paper: [Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network](https://github.com/PRIS-CV/WFEN)
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2. [**RealViformer**](#realviformer) - Paper: [Investigating Attention for Real-World Video Super-Resolution](https://github.com/Yuehan717/RealViformer)
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3. [**ProPIH**](#propih). Paper: [Progressive Painterly Image Harmonization from Low-level Styles to High-level Styles](https://github.com/bcmi/ProPIH-Painterly-Image-Harmonization)
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4. [**CoLIE**](#colie). Paper: [Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations](https://github.com/ctom2/colie)
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5. [**AnySR**](#anysr). Paper: [Realizing Image Super-Resolution as Any-Scale, Any-Resource](https://github.com/CrispyFeSo4/AnySR)
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## Workflows
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### WFEN
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Download the model [here](https://github.com/PRIS-CV/WFEN?tab=readme-ov-file#getting-started) and place it in `models/wfen/WFEN.pth`.
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[workflow_wfen_facecrop.json](workflow/workflow_wfen_facecrop.json)
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### RealViformer
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Download the model [here](https://github.com/Yuehan717/RealViformer?tab=readme-ov-file#usage) and place it in `models/realviformer/weights.pth`.
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[workflow_realviformer.json](workflow/workflow_realviformer.json)
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(Not a workflow-embedded image)
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https://github.com/user-attachments/assets/e89003c0-7be5-4263-b281-fd609807cea1
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RealViFormer upscale example
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### ProPIH
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Download the `vgg_normalised.pth` model in the [Installation section](https://github.com/bcmi/ProPIH-Painterly-Image-Harmonization?tab=readme-ov-file#installation) and `latest_net_G.pth` in the [Train/Test section](https://github.com/bcmi/ProPIH-Painterly-Image-Harmonization?tab=readme-ov-file#propih-traintest)
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```
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models/propih/vgg_normalised.pth
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models/propih/latest_net_G.pth
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```
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[workflow_propih.json](workflow/workflow_realviformer.json)
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### CoLIE
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No model needed to be downloaded. Lower `loss_mean` seems to result in brighter images. Node works with image and batched/video.
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[workflow_colie_lowlight.json](workflow/workflow_colie_lowlight.json)
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### AnySR
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Download `anysr_edsr_500.pth(updated)` and `anysr_rdn_500.pth(updated)` from [Checkpoints](https://github.com/CrispyFeSo4/AnySR?tab=readme-ov-file#checkpoints)
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```
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models/anysr/anysr_edsr_500.pth
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models/anysr/anysr_rdn_500.pth
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``` |