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Update README.md
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README.md
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license: openrail
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---
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---
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license: openrail
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pipeline_tag: text-to-image
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widget:
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- text: 'beautiful 18yo blonde Swiss girl, wearing a fuzzy sweater, snuggled and warm in front of a winter fire in a cozy living room in a chalet, high res, best quality, 8k, hyper-detailed, intricate, Cannon 85mm, face up, perfecteyes'
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output:
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url: ComfyUI_00629_.png
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- text: '((hello!)text:1)'
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output:
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url: ComfyUI_00641_.png
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- text: 'roman soldier, high res, best quality, 8k, hyper-detailed, intricate, Cannon 85mm, face up'
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output:
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url: ComfyUI_00637_.png
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- text: 'panther head coming out of smoke, dark, moody, detailed, shadows'
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output:
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url: ComfyUI_00623_.png
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- text: 'cinematic film still of Kodak Motion Picture Film: (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy'
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output:
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url: ComfyUI_00617_.png
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- text: 'Super Closeup Portrait, action shot, Profoundly dark whiteish meadow, glass flowers, Stains, space grunge style, Jeanne d\Arc wearing White Olive green used styled Cotton frock, Wielding thin silver sword, Sci-fi vibe, dirty, noisy, Vintage monk style, very detailed, hd'
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output:
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url: ComfyUI_00615_.png
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- text: 'Super Closeup Portrait, action shot, Profoundly dark whiteish meadow, glass flowers, Stains, space grunge style, Jeanne d\Arc wearing White Olive green used styled Cotton frock, Wielding thin silver sword, Sci-fi vibe, dirty, noisy, Vintage monk style, very detailed, hd'
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parameters:
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negative_prompt: >
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bad quality, bad anatomy, worst quality, low quality, low resolution,
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extra fingers, blur, blurry, ugly, wrong proportions, watermark, image
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artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image,
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output:
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url: ComfyUI_00614_.png
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---
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<Gallery />
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Miniaturus Potentia is my sd 1.5 family of models using my main acheivements discovered and first implemented within SDXL/Proteus.
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trained on 220k GPTV captioned images and than dpo tuned on 3k hand picked stylistic images. the same methodoligy used for Proteus.
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