Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 403.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo of Black skin Japanese maid, a girl wearing sheer translucent gossamer, Beautiful and elegant, small breasts,(photo_(medium):1.1), realistic, reality, Coffee shop, wax candle, Dim light, sfw,
Full negative prompt: nsfw, nipples, text, watermark, undersaturated colors, washed out, static, still, instantaneous, unchanging, camera, blurry
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Decoding latents in cuda:0...
done in 2.38s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 18.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 8.7ms
Speed: 3.6ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.2ms
Speed: 3.5ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 8.4ms
Speed: 3.0ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 403.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo of Black skin Japanese maid, a girl wearing sheer translucent gossamer, Beautiful and elegant, small breasts,(photo_(medium):1.1), realistic, reality, Coffee shop, wax candle, Dim light, sfw,
Full negative prompt: nsfw, nipples, text, watermark, undersaturated colors, washed out, static, still, instantaneous, unchanging, camera, blurry
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Decoding latents in cuda:0...
done in 2.38s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 18.8ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 19/19 [00:25<00:00, 1.01it/s]
100%|██████████| 19/19 [00:25<00:00, 1.36s/it]
Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 8.7ms
Speed: 3.6ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:01<00:25, 1.39s/it]
11%|█ | 2/19 [00:03<00:26, 1.57s/it]
16%|█▌ | 3/19 [00:04<00:26, 1.65s/it]
21%|██ | 4/19 [00:06<00:23, 1.53s/it]
26%|██▋ | 5/19 [00:07<00:21, 1.53s/it]
32%|███▏ | 6/19 [00:09<00:20, 1.58s/it]
37%|███▋ | 7/19 [00:10<00:18, 1.55s/it]
42%|████▏ | 8/19 [00:12<00:17, 1.56s/it]
47%|████▋ | 9/19 [00:14<00:15, 1.59s/it]
53%|█████▎ | 10/19 [00:15<00:13, 1.51s/it]
58%|█████▊ | 11/19 [00:16<00:11, 1.42s/it]
63%|██████▎ | 12/19 [00:18<00:09, 1.41s/it]
68%|██████▊ | 13/19 [00:19<00:08, 1.35s/it]
74%|███████▎ | 14/19 [00:20<00:06, 1.35s/it]
79%|███████▉ | 15/19 [00:21<00:05, 1.30s/it]
84%|████████▍ | 16/19 [00:23<00:03, 1.31s/it]
89%|████████▉ | 17/19 [00:24<00:02, 1.30s/it]
95%|█████████▍| 18/19 [00:25<00:01, 1.24s/it]
100%|██████████| 19/19 [00:25<00:00, 1.01it/s]
100%|██████████| 19/19 [00:25<00:00, 1.36s/it]
Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.2ms
Speed: 3.5ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:01<00:24, 1.35s/it]
11%|█ | 2/19 [00:02<00:25, 1.51s/it]
16%|█▌ | 3/19 [00:04<00:25, 1.62s/it]
21%|██ | 4/19 [00:06<00:22, 1.51s/it]
26%|██▋ | 5/19 [00:07<00:21, 1.52s/it]
32%|███▏ | 6/19 [00:09<00:20, 1.55s/it]
37%|███▋ | 7/19 [00:10<00:18, 1.51s/it]
42%|████▏ | 8/19 [00:12<00:16, 1.52s/it]
47%|████▋ | 9/19 [00:13<00:15, 1.55s/it]
53%|█████▎ | 10/19 [00:15<00:13, 1.47s/it]
58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it]
63%|██████▎ | 12/19 [00:17<00:09, 1.38s/it]
68%|██████▊ | 13/19 [00:18<00:08, 1.34s/it]
74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it]
79%|███████▉ | 15/19 [00:21<00:05, 1.29s/it]
84%|████████▍ | 16/19 [00:22<00:03, 1.30s/it]
89%|████████▉ | 17/19 [00:23<00:02, 1.29s/it]
95%|█████████▍| 18/19 [00:25<00:01, 1.23s/it]
100%|██████████| 19/19 [00:25<00:00, 1.02it/s]
100%|██████████| 19/19 [00:25<00:00, 1.34s/it]
Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:01<00:24, 1.34s/it]
11%|█ | 2/19 [00:02<00:25, 1.49s/it]
16%|█▌ | 3/19 [00:04<00:25, 1.59s/it]
21%|██ | 4/19 [00:05<00:22, 1.48s/it]
26%|██▋ | 5/19 [00:07<00:21, 1.51s/it]
32%|███▏ | 6/19 [00:09<00:19, 1.53s/it]
37%|███▋ | 7/19 [00:10<00:17, 1.49s/it]
42%|████▏ | 8/19 [00:12<00:16, 1.50s/it]
47%|████▋ | 9/19 [00:13<00:15, 1.53s/it]
53%|█████▎ | 10/19 [00:14<00:13, 1.47s/it]
58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it]
63%|██████▎ | 12/19 [00:17<00:09, 1.37s/it]
68%|██████▊ | 13/19 [00:18<00:07, 1.32s/it]
74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it]
79%|███████▉ | 15/19 [00:21<00:05, 1.28s/it]
84%|████████▍ | 16/19 [00:22<00:03, 1.29s/it]
89%|████████▉ | 17/19 [00:23<00:02, 1.28s/it]
95%|█████████▍| 18/19 [00:24<00:01, 1.22s/it]
100%|██████████| 19/19 [00:25<00:00, 1.03it/s]
100%|██████████| 19/19 [00:25<00:00, 1.33s/it]
Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:01<00:24, 1.35s/it]
11%|█ | 2/19 [00:02<00:25, 1.50s/it]
16%|█▌ | 3/19 [00:04<00:25, 1.60s/it]
21%|██ | 4/19 [00:06<00:22, 1.50s/it]
26%|██▋ | 5/19 [00:07<00:21, 1.50s/it]
32%|███▏ | 6/19 [00:09<00:19, 1.53s/it]
37%|███▋ | 7/19 [00:10<00:17, 1.49s/it]
42%|████▏ | 8/19 [00:12<00:16, 1.51s/it]
47%|████▋ | 9/19 [00:13<00:15, 1.54s/it]
53%|█████▎ | 10/19 [00:14<00:13, 1.46s/it]
58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it]
63%|██████▎ | 12/19 [00:17<00:09, 1.37s/it]
68%|██████▊ | 13/19 [00:18<00:07, 1.33s/it]
74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it]
79%|███████▉ | 15/19 [00:21<00:05, 1.27s/it]
84%|████████▍ | 16/19 [00:22<00:03, 1.28s/it]
89%|████████▉ | 17/19 [00:23<00:02, 1.28s/it]
95%|█████████▍| 18/19 [00:24<00:01, 1.22s/it]
100%|██████████| 19/19 [00:25<00:00, 1.03it/s]
100%|██████████| 19/19 [00:25<00:00, 1.33s/it]
Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:01<00:23, 1.33s/it]
11%|█ | 2/19 [00:02<00:25, 1.47s/it]
16%|█▌ | 3/19 [00:04<00:25, 1.57s/it]
21%|██ | 4/19 [00:05<00:22, 1.48s/it]
26%|██▋ | 5/19 [00:07<00:20, 1.49s/it]
32%|███▏ | 6/19 [00:09<00:19, 1.52s/it]
37%|███▋ | 7/19 [00:10<00:17, 1.48s/it]
42%|████▏ | 8/19 [00:11<00:16, 1.50s/it]
47%|████▋ | 9/19 [00:13<00:15, 1.52s/it]
53%|█████▎ | 10/19 [00:14<00:13, 1.45s/it]
58%|█████▊ | 11/19 [00:15<00:10, 1.36s/it]
63%|██████▎ | 12/19 [00:17<00:09, 1.36s/it]
68%|██████▊ | 13/19 [00:18<00:07, 1.31s/it]
74%|███████▎ | 14/19 [00:19<00:06, 1.31s/it]
79%|███████▉ | 15/19 [00:21<00:05, 1.26s/it]
84%|████████▍ | 16/19 [00:22<00:03, 1.27s/it]
89%|████████▉ | 17/19 [00:23<00:02, 1.27s/it]
95%|█████████▍| 18/19 [00:24<00:01, 1.20s/it]
100%|██████████| 19/19 [00:25<00:00, 1.04it/s]
100%|██████████| 19/19 [00:25<00:00, 1.32s/it]
Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 8.4ms
Speed: 3.0ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:01<00:24, 1.35s/it]
11%|█ | 2/19 [00:03<00:26, 1.55s/it]
16%|█▌ | 3/19 [00:04<00:25, 1.62s/it]
21%|██ | 4/19 [00:06<00:22, 1.51s/it]
26%|██▋ | 5/19 [00:07<00:21, 1.53s/it]
32%|███▏ | 6/19 [00:09<00:20, 1.54s/it]
37%|███▋ | 7/19 [00:10<00:18, 1.50s/it]
42%|████▏ | 8/19 [00:12<00:16, 1.52s/it]
47%|████▋ | 9/19 [00:13<00:15, 1.55s/it]
53%|█████▎ | 10/19 [00:15<00:13, 1.47s/it]
58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it]
63%|██████▎ | 12/19 [00:17<00:09, 1.38s/it]
68%|██████▊ | 13/19 [00:18<00:07, 1.33s/it]
74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it]
79%|███████▉ | 15/19 [00:21<00:05, 1.28s/it]
84%|████████▍ | 16/19 [00:22<00:03, 1.29s/it]
89%|████████▉ | 17/19 [00:23<00:02, 1.29s/it]
95%|█████████▍| 18/19 [00:25<00:01, 1.23s/it]
100%|██████████| 19/19 [00:25<00:00, 1.02it/s]
100%|██████████| 19/19 [00:25<00:00, 1.34s/it]
Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.