Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 103.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: hyperrealistic photo of man, a steampunk factory during the victorian era, complete with intricate machinery and smokestacks, workers in protective gear, surreal landscape, enchanted forest below, trees reaching up, garden suspended by ethereal, rainbow waterfall cascades down tendrils from high mountains, birds fly through floral, Serene pond reflects vibrant colors, extremely detailed skin texture, Extremely high-resolution details, natural skin texture, Extremely high-resolution details face, Extremely high-resolution details breasts, Extremely high-resolution details body, Extremely high-resolution details clothes, photographic, realism pushed to extreme, fine texture, incredibly lifelike, , (ultra detailed:1.5), (masterpiece:1.5), (award winning:1.5), (best quality:1.5)
Full negative prompt: nsfw, nipples, realistic, photographic, figurative, concrete, (worst quality, low quality, normal quality:2)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 43.5ms 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 hand, 7.8ms
Speed: 3.0ms preprocess, 7.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.3ms
Speed: 2.8ms 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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0: 640x640 2 hands, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 6.8ms
Speed: 2.7ms preprocess, 6.8ms 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: 2.8ms 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 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms 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.
This example was created by evevalentine2017
Finished in 103.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: hyperrealistic photo of man, a steampunk factory during the victorian era, complete with intricate machinery and smokestacks, workers in protective gear, surreal landscape, enchanted forest below, trees reaching up, garden suspended by ethereal, rainbow waterfall cascades down tendrils from high mountains, birds fly through floral, Serene pond reflects vibrant colors, extremely detailed skin texture, Extremely high-resolution details, natural skin texture, Extremely high-resolution details face, Extremely high-resolution details breasts, Extremely high-resolution details body, Extremely high-resolution details clothes, photographic, realism pushed to extreme, fine texture, incredibly lifelike, , (ultra detailed:1.5), (masterpiece:1.5), (award winning:1.5), (best quality:1.5)
Full negative prompt: nsfw, nipples, realistic, photographic, figurative, concrete, (worst quality, low quality, normal quality:2)
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 43.5ms 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, 7.8ms
Speed: 3.0ms preprocess, 7.8ms inference, 1.7ms 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, 7.3ms
Speed: 2.8ms 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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0: 640x640 2 hands, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 2.0ms 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
0: 640x640 1 face, 7.3ms
Speed: 2.7ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.8ms
Speed: 2.7ms preprocess, 6.8ms 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...
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32%|███▏ | 8/25 [00:01<00:04, 4.22it/s]
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40%|████ | 10/25 [00:02<00:03, 4.44it/s]
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60%|██████ | 15/25 [00:03<00:02, 4.29it/s]
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80%|████████ | 20/25 [00:04<00:01, 4.17it/s]
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88%|████████▊ | 22/25 [00:05<00:00, 3.78it/s]
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100%|██████████| 25/25 [00:05<00:00, 4.56it/s]
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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, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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28%|██▊ | 7/25 [00:01<00:03, 5.06it/s]
32%|███▏ | 8/25 [00:01<00:03, 5.08it/s]
36%|███▌ | 9/25 [00:01<00:03, 5.10it/s]
40%|████ | 10/25 [00:01<00:02, 5.10it/s]
44%|████▍ | 11/25 [00:02<00:02, 5.12it/s]
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52%|█████▏ | 13/25 [00:02<00:02, 5.12it/s]
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68%|██████▊ | 17/25 [00:03<00:01, 5.13it/s]
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80%|████████ | 20/25 [00:03<00:01, 4.71it/s]
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88%|████████▊ | 22/25 [00:04<00:00, 4.93it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms 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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28%|██▊ | 7/25 [00:01<00:03, 4.90it/s]
32%|███▏ | 8/25 [00:01<00:03, 4.96it/s]
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68%|██████▊ | 17/25 [00:03<00:01, 4.88it/s]
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100%|██████████| 25/25 [00:05<00:00, 5.08it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.