Comfy-Topaz

Comfy-Topaz
★ 209

图像增强超分辨率去噪/锐化Topaz Photo AI 集成
将 Topaz Photo AI(需已授权)功能如超分、锐化、去噪等,作为 ComfyUI 节点集成,使传统异步后处理可并入工作流。
💡 在 ComfyUI 流程中直接调用 Topaz 进行图像增强。
🍴 11 Forks💻 Python🔄 2024-09-28
📦
网盘下载
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https://pan.quark.cn/s/c1eafc754fbb
simple demo showing the auto-pilot settings
demo showing the upscale settings override
📄 README

What is Comfy-Topaz?

Comfy-Topaz is a custom node for ComfyUI, which integrates with Topaz Photo AI to enhance (upscale, sharpen, denoise, etc.) images, allowing this traditionally asynchronous step to become a part of ComfyUI workflows.

Requirements

  • Licensed installation of Topaz Photo AI: This provides tpai.exe, the path to which should be set for the Topaz Photo AI (tpai.exe) setting in ComfyUI.
  • Installation

    Clone this repo into ComfyUI/custom_nodes and restart ComfyUI.

    Usage

    Auto-Pilot Settings

    This is the simplest use case, which relies on Topaz Photo AI to auto-detect and apply those settings. This is done by omitting the upscale and sharpen settings as inputs:

    Sometimes auto-pilot settings don’t yield the best results, which warrants manual tuning.

    On the output side, autopilot_settings shows what the auto-pilot settings were, and settings shows all the features used and knobs turned to generate the final image.

    Manual Settings

    Override auto-pilot settings by providing manual settings:

    A good starting point is by copying over params from auto-pilot from which to iterate. I copied over the denoise, deblur, and detail values and changed the model from Standard V2 to High Fidelity.

    TODO

  • Output *Settings nodes rather than json, to eliminate the manual steps of copying values when overriding settings.
  • Add a button to run auto-pilot analysis without applying the settings on the image.
  • Map param1, param2, param3, … to the actual param name (e.g., denoise, deblur, and detail for Upscale Settings)
  • Expose more settings (denoise, face recovery, text recovery, WB/exposure adjustment).