gguf quantized version of vauxz3d (test pack)

Prompt
masterpiece, best quality, vibrant, very aesthetic, high contrast, semrealistic, highly detailed, absurdres, masterful composition, cinematic lighting, score_9, score_8_up, score_7_up, score_6_up, score_5_up, rating_questionable, source_anime, 1girl, portrait, multicolored hair, fringe, bare shoulders, upper body, cosmic
Negative Prompt
femboy, low quality, 2koma, 4koma, bad anatomy, jpeg artifacts, signature, watermark, lowres, bad hands
Prompt
drag it to browser <metadata> same descriptor as the 1st one
Prompt
drag it to browser <metadata> same descriptor as the 1st one

setup (in general)

  • drag gguf file(s) to diffusion_models folder (./ComfyUI/models/diffusion_models)
  • drag clip or encoder(s), i.e., 3d_g-clip and 3d_l-clip, to text_encoders folder (./ComfyUI/models/text_encoders)
  • drag vae decoder(s), i.e., 3d_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

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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