Version: v6.0
Input
Output
This example was created by evevalentine2017
Finished in 160.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo of a young woman of exquisite feminine beauty as a ballet dancer, standing in a ballet practice room, wearing a ballet outfit, slim figure, [consistent facial and body proportions, aesthetic design and intricate composition, refined body details, natural beauty, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity]
Full negative prompt: (Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.7ms
Speed: 2.9ms preprocess, 7.7ms inference, 23.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 6.7ms
Speed: 2.8ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 faces, 7.2ms
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0: 640x640 4 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms 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 2 faces, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 160.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo of a young woman of exquisite feminine beauty as a ballet dancer, standing in a ballet practice room, wearing a ballet outfit, slim figure, [consistent facial and body proportions, aesthetic design and intricate composition, refined body details, natural beauty, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity]
Full negative prompt: (Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.7ms
Speed: 2.9ms preprocess, 7.7ms inference, 23.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 6.7ms
Speed: 2.8ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 faces, 7.2ms
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0: 640x640 4 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms 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 2 faces, 7.2ms
Speed: 2.6ms preprocess, 7.2ms 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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0: 640x640 4 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms 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...
done in 0.0s
Uploading outputs...
Finished.