metadata
license: apache-2.0
language:
- en
base_model:
- KBlueLeaf/kohaku-xl-beta5
pipeline_tag: text-to-image
tags:
- gguf-node
widget:
- text: >-
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
parameters:
negative_prompt: >-
femboy, low quality, 2koma, 4koma, bad anatomy, jpeg artifacts,
signature, watermark, lowres, bad hands
output:
url: samples\ComfyUI_00001_.png
- text: drag it to browser <metadata> same descriptor as the 1st one
output:
url: samples\ComfyUI_00002_.png
- text: drag it to browser <metadata> same descriptor as the 1st one
output:
url: samples\ComfyUI_00003_.png
gguf quantized version of vauxz3d (test pack)
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
- vauxz creator
- comfyui comfyanonymous
- gguf-node beta