ComfyUI-Flowty-LDSR

ComfyUI-Flowty-LDSR
★ 269

图像超分辨率LDSRComfyUI节点模型集成
在ComfyUI中集成Latent Diffusion Super Resolution (LDSR)，便捷调用外部LDSR模型对图像进行高质量超分辨率放大与增强。
💡 在ComfyUI流程中对生成图片进行高质量超分辨率放大。
🍴 20 Forks💻 Python🔄 2024-06-14
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https://pan.quark.cn/s/2df45d172dc1
📦 requirements.txt
torchvision
torch
einops
omegaconf
tqdm
pytorch-lightning
torchmetrics==0.11.4
example
example
example
example2
📄 README

ComfyUI-Flowty-LDSR

This is a custom node that lets you take advantage of Latent Diffusion Super Resolution (LDSR) models inside ComfyUI.

LDSR models have been known to produce significantly better results then other upscalers, but they tend to be much slower and require more sampling steps. Results may also vary based on the input image.

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I’ve created this node for experimentation, feel free to submit PRs for performance improvements etc.

Installation:

  • Install ComfyUI
  • Clone this repo into “custom_nodes“:

    • “`shell

    $ cd ComfyUI/custom_nodes

    $ git clone https://github.com/flowtyone/ComfyUI-Flowty-LDSR.git

    “`

  • Install dependencies:

    • “`shell

    $ cd ComfyUI-Flowty-LDSR

    $ pip install -r requirements.txt

    “`

  • Download LDSR and place it in “ComfyUI/models/upscale_models“
  • Start ComfyUI (or restart)

    • Workflow:

    This is a community project from flowt.ai. If you like it, check us out!