Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 45.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: vulgarity, (pantyshot: 1.1), 1 girl, threesome, v-neck, brown sweater vest, 2 boys, white shirt, buttons, low ponytail, facial hair, long hair, simple background, blue jacket, open collar, sweater vest, looking at another, jacket, bag, book, hair over one eye, holding bag, classroom background, black sweater vest, necktie, long bangs, unbuttoned, open mouth, black necktie, one eye covered, short hair, long sleeves, paper bag, blue eyes, multiple boys, teacher, holding book, food, teacher and student, :d, smile, short ponytail, brown eyes, holding, open jacket, black hair, blue hair, open clothes, apple, bread, male focus, looking at viewer, fruit, collared shirt, looking to the side, lights & shadows, volumetric light, shiny skin, glossy skin, bhands, <lora:more_details:0.7>, , <lora:add_detail:-0.1>, <lora:add_brightness:0.2>, <lora:add_saturation:-0.52>
Full negative prompt: ((more than 2 legs)). ((nipples:1.5)), nsfw, topless, ((more than 1 girl:1.5)), ((side view:1.5)), ((front view:1.5)), above view, (more than 2 arms), ((more than 2 legs:1.5)), (more than 2 hands:1.5), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts)
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Decoding latents in cuda:0...
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0: 640x640 3 faces, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 32.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 5 faces, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 45.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: vulgarity, (pantyshot: 1.1), 1 girl, threesome, v-neck, brown sweater vest, 2 boys, white shirt, buttons, low ponytail, facial hair, long hair, simple background, blue jacket, open collar, sweater vest, looking at another, jacket, bag, book, hair over one eye, holding bag, classroom background, black sweater vest, necktie, long bangs, unbuttoned, open mouth, black necktie, one eye covered, short hair, long sleeves, paper bag, blue eyes, multiple boys, teacher, holding book, food, teacher and student, :d, smile, short ponytail, brown eyes, holding, open jacket, black hair, blue hair, open clothes, apple, bread, male focus, looking at viewer, fruit, collared shirt, looking to the side, lights & shadows, volumetric light, shiny skin, glossy skin, bhands, <lora:more_details:0.7>, , <lora:add_detail:-0.1>, <lora:add_brightness:0.2>, <lora:add_saturation:-0.52>
Full negative prompt: ((more than 2 legs)). ((nipples:1.5)), nsfw, topless, ((more than 1 girl:1.5)), ((side view:1.5)), ((front view:1.5)), above view, (more than 2 arms), ((more than 2 legs:1.5)), (more than 2 hands:1.5), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts)
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 3 faces, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 32.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 5 faces, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.