gguf quantized legacy models for anime (additional test pack for gguf-node)

Prompt
score_9, score_8_up, score_7_up, film grain, photo by fuji-proplus-ii film, raw picture of 20 years old woman in lingerie, portrait, deep blue sky, cloudy sky, outdoor, high key light, soft shadow, Fiery clouds, colored hair,
Negative Prompt
score_6, score_5, score_4, source_pony, (worst quality:1.2), (low quality:1.2), (normal quality:1.2), lowres, bad anatomy, bad hands, signature, watermarks, ugly, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, extra limb, missing limbs, painting by bad-artist,
Prompt
drag it to browser <metadata> same descriptor to the 1st one; but different model (boleromix)
Prompt
drag it to browser <metadata> same descriptor to the 1st one; but different model (snow)

setup (in general)

  • drag gguf file(s) to diffusion_models folder (./ComfyUI/models/diffusion_models)
  • drag clip or encoder(s), i.e., g-clip and l-clip, to text_encoders folder (./ComfyUI/models/text_encoders)
  • drag vae decoder(s), i.e., legacy-vae, to vae folder (./ComfyUI/models/vae)

run it straight (no installation needed way)

  • get the comfy pack with the new gguf-node (beta)
  • 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
  • example workflow json for the safetensors
  • example workflow json for the gguf

review

  • use tag/word(s) as input for more accurate results for those legacy models; not very convenient (compare to the recent models) at the very beginning
  • credits should be given to those contributors from civitai platform
  • good to run on old machines, i.e., 9xx series or before (legacy mode [--disable-cuda-malloc --lowvram] supported); compatible with the new gguf-node

reference

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GGUF
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Inference Examples
Examples
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