Version: v6.0
Input
Output
This example was created by evevalentine2017
Finished in 115.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: upper body photo of a 18 years old British girl with exquisite feminine beauty, she has wide hips and slim waist, she is standing on a street of Victorian London, the city is softly illuminated by the sunset, she is wearing an elegant (black) goth dress, she is looking at the viewer, it is a cold winter evening, snow, (Style-Renaissance:0.6) <lora:more_details:0.5>, [hourglass body 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: 3.0ms preprocess, 7.7ms inference, 24.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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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0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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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0: 640x640 1 hand, 6.9ms
Speed: 2.7ms 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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0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms 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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0: 640x640 2 hands, 7.0ms
Speed: 2.9ms preprocess, 7.0ms 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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0: 640x640 1 face, 7.2ms
Speed: 2.6ms preprocess, 7.2ms 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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done in 0.0s
0: 640x640 2 hands, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 115.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: upper body photo of a 18 years old British girl with exquisite feminine beauty, she has wide hips and slim waist, she is standing on a street of Victorian London, the city is softly illuminated by the sunset, she is wearing an elegant (black) goth dress, she is looking at the viewer, it is a cold winter evening, snow, (Style-Renaissance:0.6) <lora:more_details:0.5>, [hourglass body 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...
done in 0.95s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 24.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.01s
0: 640x640 1 hand, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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69%|██████▉ | 9/13 [00:03<00:01, 2.36it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.41it/s]
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100%|██████████| 13/13 [00:05<00:00, 2.51it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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62%|██████▏ | 8/13 [00:03<00:02, 2.27it/s]
69%|██████▉ | 9/13 [00:03<00:01, 2.34it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.37it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.37it/s]
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100%|██████████| 13/13 [00:05<00:00, 3.06it/s]
100%|██████████| 13/13 [00:05<00:00, 2.51it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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31%|███ | 4/13 [00:01<00:03, 2.34it/s]
38%|███▊ | 5/13 [00:02<00:03, 2.36it/s]
46%|████▌ | 6/13 [00:02<00:03, 2.28it/s]
54%|█████▍ | 7/13 [00:03<00:02, 2.31it/s]
62%|██████▏ | 8/13 [00:03<00:02, 2.26it/s]
69%|██████▉ | 9/13 [00:03<00:01, 2.36it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.41it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.41it/s]
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100%|██████████| 13/13 [00:05<00:00, 3.03it/s]
100%|██████████| 13/13 [00:05<00:00, 2.50it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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31%|███ | 4/13 [00:01<00:03, 2.35it/s]
38%|███▊ | 5/13 [00:02<00:03, 2.37it/s]
46%|████▌ | 6/13 [00:02<00:03, 2.26it/s]
54%|█████▍ | 7/13 [00:03<00:02, 2.28it/s]
62%|██████▏ | 8/13 [00:03<00:02, 2.25it/s]
69%|██████▉ | 9/13 [00:03<00:01, 2.35it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.40it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.39it/s]
92%|█████████▏| 12/13 [00:04<00:00, 2.64it/s]
100%|██████████| 13/13 [00:05<00:00, 3.09it/s]
100%|██████████| 13/13 [00:05<00:00, 2.51it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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31%|███ | 4/13 [00:01<00:03, 2.40it/s]
38%|███▊ | 5/13 [00:02<00:03, 2.40it/s]
46%|████▌ | 6/13 [00:02<00:03, 2.30it/s]
54%|█████▍ | 7/13 [00:02<00:02, 2.33it/s]
62%|██████▏ | 8/13 [00:03<00:02, 2.28it/s]
69%|██████▉ | 9/13 [00:03<00:01, 2.38it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.42it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.40it/s]
92%|█████████▏| 12/13 [00:04<00:00, 2.66it/s]
100%|██████████| 13/13 [00:05<00:00, 3.12it/s]
100%|██████████| 13/13 [00:05<00:00, 2.55it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:05, 2.19it/s]
15%|█▌ | 2/13 [00:00<00:04, 2.41it/s]
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31%|███ | 4/13 [00:01<00:03, 2.38it/s]
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46%|████▌ | 6/13 [00:02<00:03, 2.31it/s]
54%|█████▍ | 7/13 [00:02<00:02, 2.36it/s]
62%|██████▏ | 8/13 [00:03<00:02, 2.29it/s]
69%|██████▉ | 9/13 [00:03<00:01, 2.39it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.41it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.38it/s]
92%|█████████▏| 12/13 [00:04<00:00, 2.63it/s]
100%|██████████| 13/13 [00:05<00:00, 3.10it/s]
100%|██████████| 13/13 [00:05<00:00, 2.53it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
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15%|█▌ | 2/13 [00:00<00:04, 2.47it/s]
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31%|███ | 4/13 [00:01<00:03, 2.37it/s]
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46%|████▌ | 6/13 [00:02<00:03, 2.30it/s]
54%|█████▍ | 7/13 [00:02<00:02, 2.33it/s]
62%|██████▏ | 8/13 [00:03<00:02, 2.25it/s]
69%|██████▉ | 9/13 [00:03<00:01, 2.36it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.41it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.38it/s]
92%|█████████▏| 12/13 [00:04<00:00, 2.59it/s]
100%|██████████| 13/13 [00:05<00:00, 3.03it/s]
100%|██████████| 13/13 [00:05<00:00, 2.52it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:05, 2.16it/s]
15%|█▌ | 2/13 [00:00<00:04, 2.37it/s]
23%|██▎ | 3/13 [00:01<00:04, 2.31it/s]
31%|███ | 4/13 [00:01<00:03, 2.27it/s]
38%|███▊ | 5/13 [00:02<00:03, 2.30it/s]
46%|████▌ | 6/13 [00:02<00:03, 2.22it/s]
54%|█████▍ | 7/13 [00:03<00:02, 2.27it/s]
62%|██████▏ | 8/13 [00:03<00:02, 2.23it/s]
69%|██████▉ | 9/13 [00:03<00:01, 2.33it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.37it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.35it/s]
92%|█████████▏| 12/13 [00:05<00:00, 2.57it/s]
100%|██████████| 13/13 [00:05<00:00, 3.04it/s]
100%|██████████| 13/13 [00:05<00:00, 2.47it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:05, 2.26it/s]
15%|█▌ | 2/13 [00:00<00:04, 2.44it/s]
23%|██▎ | 3/13 [00:01<00:04, 2.40it/s]
31%|███ | 4/13 [00:01<00:03, 2.38it/s]
38%|███▊ | 5/13 [00:02<00:03, 2.29it/s]
46%|████▌ | 6/13 [00:02<00:03, 2.23it/s]
54%|█████▍ | 7/13 [00:03<00:02, 2.28it/s]
62%|██████▏ | 8/13 [00:03<00:02, 2.16it/s]
69%|██████▉ | 9/13 [00:03<00:01, 2.27it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.33it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.34it/s]
92%|█████████▏| 12/13 [00:05<00:00, 2.58it/s]
100%|██████████| 13/13 [00:05<00:00, 3.04it/s]
100%|██████████| 13/13 [00:05<00:00, 2.47it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.