Version: v3.3
Input
Output
This example was created by evevalentine2017
Finished in 391.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: [object Object], photo of Hyperrealistic art Wonderful, intricate, (solo), (colorful), (a superb Art Brut Decollage art, Lycanthropic Phoenix), ethereal neural network organism, divine cyborg dragon:2 girl:0.3, ginger:0.5 biomorph, glass skeleton, skinless:3, anatomical face, biomechanical details, (white and iridescent colors:1.1) bright colors, alchemist, alt_style, cinematic, 35mm film, 35mm photography, film, photo realism, DSLR, 8k uhd, hdr, ultra-detailed, high quality, high contrast
Full negative prompt: [object Object], naked, nude, NSFW, skull, open mouth, (red eyes:1.4), cropped, off-center,worst quality, bad quality, low quality, poor quality, poor composition, simple composition, bad composition, boring, anime, drawing, cartoon, text, watermark, signature,painting, digital arts, drawing, cartoon, anime, illustration, ugly, deformed, blurry
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.8ms
Speed: 3.4ms preprocess, 7.8ms inference, 23.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.3ms
Speed: 3.8ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 hand, 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 8.1ms
Speed: 3.0ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 391.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: [object Object], photo of Hyperrealistic art Wonderful, intricate, (solo), (colorful), (a superb Art Brut Decollage art, Lycanthropic Phoenix), ethereal neural network organism, divine cyborg dragon:2 girl:0.3, ginger:0.5 biomorph, glass skeleton, skinless:3, anatomical face, biomechanical details, (white and iridescent colors:1.1) bright colors, alchemist, alt_style, cinematic, 35mm film, 35mm photography, film, photo realism, DSLR, 8k uhd, hdr, ultra-detailed, high quality, high contrast
Full negative prompt: [object Object], naked, nude, NSFW, skull, open mouth, (red eyes:1.4), cropped, off-center,worst quality, bad quality, low quality, poor quality, poor composition, simple composition, bad composition, boring, anime, drawing, cartoon, text, watermark, signature,painting, digital arts, drawing, cartoon, anime, illustration, ugly, deformed, blurry
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0: 640x640 1 face, 7.8ms
Speed: 3.4ms preprocess, 7.8ms inference, 23.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.3ms
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.1ms
Speed: 3.0ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.