Version: v1.1
Input
Output
This example was created by evevalentine2017
Finished in 260.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: yamer style, otherworldly astral dark queen, intricate crown, sitting on throne, red royal dress, legs crossed, (full body:1.1), menacing, short blonde hair, scifi, Greg Tocchini, bold lines, hyper detailed, large breasts, cleavage, (intricate details, masterpiece, best quality:1.2), black and ivory hue, looking at viewer, dynamic pose, in the style of nicola samori
Full negative prompt: Lowres, bad anatomy, bad hand, paintings, sketches, worst quality, low quality, normal quality, lowres, monochrome, grayscale, skin spots, acnes, skin blemishes, age spot, glans, extra fingers, fewer fingers, watermark, white letters, multi nipples, bad anatomy, bad hands, text, error, missing fingers, missing arms, missing legs, extra digit, fewer digits, cropped, worst quality, jpeg artifacts, signature, watermark, username, bad feet, multiple people, blurry, poorly drawn hands, poorly drawn face, mutation, deformed, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, wrong feet bottom render, abdominal stretch, briefs, knickers, kecks, thong, fused fingers, bad body, bad proportion body to legs, wrong toes, extra toes, missing toes, weird toes, 2 body, 2 upper, 2 lower, 2 head, 3 hand, 3 feet, extra long leg, super long leg, mirrored image, mirrored noise, nsfw
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Decoding latents in cuda:0...
done in 2.33s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 25.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.9ms 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
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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, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.76s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
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done in 0.0s
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.3ms preprocess, 7.7ms inference, 1.9ms 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 0.77s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 260.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: yamer style, otherworldly astral dark queen, intricate crown, sitting on throne, red royal dress, legs crossed, (full body:1.1), menacing, short blonde hair, scifi, Greg Tocchini, bold lines, hyper detailed, large breasts, cleavage, (intricate details, masterpiece, best quality:1.2), black and ivory hue, looking at viewer, dynamic pose, in the style of nicola samori
Full negative prompt: Lowres, bad anatomy, bad hand, paintings, sketches, worst quality, low quality, normal quality, lowres, monochrome, grayscale, skin spots, acnes, skin blemishes, age spot, glans, extra fingers, fewer fingers, watermark, white letters, multi nipples, bad anatomy, bad hands, text, error, missing fingers, missing arms, missing legs, extra digit, fewer digits, cropped, worst quality, jpeg artifacts, signature, watermark, username, bad feet, multiple people, blurry, poorly drawn hands, poorly drawn face, mutation, deformed, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, wrong feet bottom render, abdominal stretch, briefs, knickers, kecks, thong, fused fingers, bad body, bad proportion body to legs, wrong toes, extra toes, missing toes, weird toes, 2 body, 2 upper, 2 lower, 2 head, 3 hand, 3 feet, extra long leg, super long leg, mirrored image, mirrored noise, nsfw
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Decoding latents in cuda:0...
done in 2.33s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 25.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:13<00:03, 1.26s/it]
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100%|██████████| 14/14 [00:16<00:00, 1.07s/it]
100%|██████████| 14/14 [00:16<00:00, 1.21s/it]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0%| | 0/14 [00:00<?, ?it/s]
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36%|███▌ | 5/14 [00:06<00:11, 1.24s/it]
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50%|█████ | 7/14 [00:08<00:08, 1.24s/it]
57%|█████▋ | 8/14 [00:09<00:07, 1.24s/it]
64%|██████▍ | 9/14 [00:11<00:06, 1.23s/it]
71%|███████▏ | 10/14 [00:12<00:04, 1.23s/it]
79%|███████▊ | 11/14 [00:13<00:03, 1.23s/it]
86%|████████▌ | 12/14 [00:14<00:02, 1.23s/it]
93%|█████████▎| 13/14 [00:16<00:01, 1.23s/it]
100%|██████████| 14/14 [00:16<00:00, 1.05s/it]
100%|██████████| 14/14 [00:16<00:00, 1.19s/it]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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21%|██▏ | 3/14 [00:03<00:13, 1.22s/it]
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36%|███▌ | 5/14 [00:06<00:11, 1.23s/it]
43%|████▎ | 6/14 [00:07<00:09, 1.24s/it]
50%|█████ | 7/14 [00:08<00:08, 1.26s/it]
57%|█████▋ | 8/14 [00:09<00:07, 1.27s/it]
64%|██████▍ | 9/14 [00:11<00:06, 1.26s/it]
71%|███████▏ | 10/14 [00:12<00:05, 1.25s/it]
79%|███████▊ | 11/14 [00:14<00:04, 1.56s/it]
86%|████████▌ | 12/14 [00:17<00:03, 1.93s/it]
93%|█████████▎| 13/14 [00:20<00:02, 2.17s/it]
100%|██████████| 14/14 [00:21<00:00, 1.80s/it]
100%|██████████| 14/14 [00:21<00:00, 1.51s/it]
Decoding latents in cuda:0...
done in 0.76s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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29%|██▊ | 4/14 [00:05<00:12, 1.27s/it]
36%|███▌ | 5/14 [00:06<00:11, 1.32s/it]
43%|████▎ | 6/14 [00:07<00:10, 1.36s/it]
50%|█████ | 7/14 [00:09<00:09, 1.36s/it]
57%|█████▋ | 8/14 [00:10<00:07, 1.31s/it]
64%|██████▍ | 9/14 [00:11<00:06, 1.29s/it]
71%|███████▏ | 10/14 [00:12<00:05, 1.27s/it]
79%|███████▊ | 11/14 [00:14<00:03, 1.26s/it]
86%|████████▌ | 12/14 [00:15<00:02, 1.26s/it]
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100%|██████████| 14/14 [00:17<00:00, 1.06s/it]
100%|██████████| 14/14 [00:17<00:00, 1.23s/it]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0%| | 0/14 [00:00<?, ?it/s]
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29%|██▊ | 4/14 [00:04<00:12, 1.25s/it]
36%|███▌ | 5/14 [00:06<00:11, 1.24s/it]
43%|████▎ | 6/14 [00:07<00:09, 1.24s/it]
50%|█████ | 7/14 [00:08<00:08, 1.24s/it]
57%|█████▋ | 8/14 [00:09<00:07, 1.24s/it]
64%|██████▍ | 9/14 [00:11<00:06, 1.24s/it]
71%|███████▏ | 10/14 [00:12<00:04, 1.24s/it]
79%|███████▊ | 11/14 [00:13<00:03, 1.26s/it]
86%|████████▌ | 12/14 [00:15<00:02, 1.26s/it]
93%|█████████▎| 13/14 [00:16<00:01, 1.27s/it]
100%|██████████| 14/14 [00:16<00:00, 1.08s/it]
100%|██████████| 14/14 [00:16<00:00, 1.21s/it]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.3ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:01<00:16, 1.29s/it]
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21%|██▏ | 3/14 [00:03<00:13, 1.27s/it]
29%|██▊ | 4/14 [00:05<00:12, 1.26s/it]
36%|███▌ | 5/14 [00:06<00:11, 1.25s/it]
43%|████▎ | 6/14 [00:07<00:10, 1.26s/it]
50%|█████ | 7/14 [00:08<00:08, 1.26s/it]
57%|█████▋ | 8/14 [00:10<00:07, 1.25s/it]
64%|██████▍ | 9/14 [00:11<00:06, 1.25s/it]
71%|███████▏ | 10/14 [00:12<00:04, 1.25s/it]
79%|███████▊ | 11/14 [00:13<00:03, 1.25s/it]
86%|████████▌ | 12/14 [00:15<00:02, 1.25s/it]
93%|█████████▎| 13/14 [00:16<00:01, 1.26s/it]
100%|██████████| 14/14 [00:17<00:00, 1.07s/it]
100%|██████████| 14/14 [00:17<00:00, 1.21s/it]
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)
0%| | 0/14 [00:00<?, ?it/s]
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14%|█▍ | 2/14 [00:02<00:14, 1.23s/it]
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29%|██▊ | 4/14 [00:04<00:12, 1.26s/it]
36%|███▌ | 5/14 [00:06<00:11, 1.26s/it]
43%|████▎ | 6/14 [00:07<00:10, 1.26s/it]
50%|█████ | 7/14 [00:08<00:08, 1.26s/it]
57%|█████▋ | 8/14 [00:10<00:07, 1.25s/it]
64%|██████▍ | 9/14 [00:11<00:06, 1.25s/it]
71%|███████▏ | 10/14 [00:12<00:04, 1.24s/it]
79%|███████▊ | 11/14 [00:13<00:03, 1.24s/it]
86%|████████▌ | 12/14 [00:14<00:02, 1.24s/it]
93%|█████████▎| 13/14 [00:16<00:01, 1.25s/it]
100%|██████████| 14/14 [00:16<00:00, 1.06s/it]
100%|██████████| 14/14 [00:16<00:00, 1.20s/it]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:01<00:16, 1.29s/it]
14%|█▍ | 2/14 [00:02<00:16, 1.34s/it]
21%|██▏ | 3/14 [00:04<00:14, 1.34s/it]
29%|██▊ | 4/14 [00:05<00:13, 1.33s/it]
36%|███▌ | 5/14 [00:06<00:11, 1.30s/it]
43%|████▎ | 6/14 [00:07<00:10, 1.29s/it]
50%|█████ | 7/14 [00:09<00:09, 1.29s/it]
57%|█████▋ | 8/14 [00:10<00:07, 1.27s/it]
64%|██████▍ | 9/14 [00:11<00:06, 1.26s/it]
71%|███████▏ | 10/14 [00:12<00:05, 1.27s/it]
79%|███████▊ | 11/14 [00:14<00:03, 1.31s/it]
86%|████████▌ | 12/14 [00:15<00:02, 1.30s/it]
93%|█████████▎| 13/14 [00:16<00:01, 1.30s/it]
100%|██████████| 14/14 [00:17<00:00, 1.10s/it]
100%|██████████| 14/14 [00:17<00:00, 1.25s/it]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.