Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 97.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: (best quality), ((masterpiece)), (highres), anime, original, extremely detailed, 1girl, teddy bear, baseball cap, hat, solo, stuffed animal, stuffed toy, smile, long hair, hood down, jacket, hood, headphones, closed mouth, purple hair, long sleeves, fingernails, nail polish, sleeves past wrists, looking at viewer, multicolored eyes, bangs, hooded jacket, yellow nails, red jacket, multicolored nails, hair ornament, object hug, blush, red nails, white headwear, upper body, purple eyes, claw pose, heart, black headwear, hand up, bow, hoodie, hairclip, nail art, button badge, very long hair, hair between eyes, orange nails, puffy long sleeves, puffy sleeves, black bow, badge, holding, drawstring, red eyes, pink nails, star (symbol), multicolored hair, blue nails, holding stuffed toy, lightning bolt symbol, colorful, looking to the side
Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
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Decoding latents in cuda:0...
done in 2.36s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 8.2ms
Speed: 3.6ms preprocess, 8.2ms inference, 30.4ms 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 1 hand, 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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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, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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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, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 1.5ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 97.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: (best quality), ((masterpiece)), (highres), anime, original, extremely detailed, 1girl, teddy bear, baseball cap, hat, solo, stuffed animal, stuffed toy, smile, long hair, hood down, jacket, hood, headphones, closed mouth, purple hair, long sleeves, fingernails, nail polish, sleeves past wrists, looking at viewer, multicolored eyes, bangs, hooded jacket, yellow nails, red jacket, multicolored nails, hair ornament, object hug, blush, red nails, white headwear, upper body, purple eyes, claw pose, heart, black headwear, hand up, bow, hoodie, hairclip, nail art, button badge, very long hair, hair between eyes, orange nails, puffy long sleeves, puffy sleeves, black bow, badge, holding, drawstring, red eyes, pink nails, star (symbol), multicolored hair, blue nails, holding stuffed toy, lightning bolt symbol, colorful, looking to the side
Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
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Decoding latents in cuda:0...
done in 2.36s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 8.2ms
Speed: 3.6ms preprocess, 8.2ms inference, 30.4ms 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 1 hand, 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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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, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
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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, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 1.5ms 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
Uploading outputs...
Finished.