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metadata
license: apache-2.0
language:
  - en
pipeline_tag: text-to-image
tags:
  - koji
  - gguf-node
widget:
  - text: >-
      masterpiece, best quality, 1girl, yellow eyes, medium hair, stairs, cherry
      blossoms, temple, fox girl, detached sleeves, animal ears, happy, arms
      behind back, tail,
    parameters:
      negative_prompt: (worst quality, low quality:1.4),
    output:
      url: samples\ComfyUI_00001_.png
  - text: >-
      masterpiece, best quality, 1girl, architecture, garden, city, looking at
      viewer,  upper body,
    parameters:
      negative_prompt: (worst quality, low quality:1.4),
    output:
      url: samples\ComfyUI_00002_.png

gguf quantized version of koji (mini test pack)

Prompt
masterpiece, best quality, 1girl, yellow eyes, medium hair, stairs, cherry blossoms, temple, fox girl, detached sleeves, animal ears, happy, arms behind back, tail,
Negative Prompt
(worst quality, low quality:1.4),
Prompt
masterpiece, best quality, 1girl, architecture, garden, city, looking at viewer, upper body,
Negative Prompt
(worst quality, low quality:1.4),

setup (in general)

  • drag gguf file(s) to diffusion_models folder (./ComfyUI/models/diffusion_models)
  • drag l-clip, to text_encoders folder (./ComfyUI/models/text_encoders)
  • drag vae decoder to vae folder (./ComfyUI/models/vae)

run it straight (no installation needed way)

  • get the comfy pack with the new gguf-node here
  • run the .bat file in the main directory

workflow

  • drag any workflow json file to the activated browser; or
  • drag any generated output file (i.e., picture, video, etc.; which contains the workflow metadata) to the activated browser

reference