Version: b2d0816
Input
Output
This example was created by evevalentine2017
Finished in 174.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: spiky bald hairstyle, short hair, mexican skin, gloves, Fishnet tight, fishnet crop top military, 1girl, dark black hair, ((hair cut super short,)), soft Brown eyes, smile lips, hold a bomb botton, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
Full negative prompt: nipples, EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.8ms
Speed: 4.3ms preprocess, 7.8ms inference, 27.9ms 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: 2.9ms preprocess, 7.2ms 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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0: 640x640 2 faces, 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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0: 640x640 1 hand, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 2.1ms 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 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms 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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0: 640x640 1 hand, 7.0ms
Speed: 2.9ms preprocess, 7.0ms 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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0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 19.0ms 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
0: 640x640 1 hand, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 2.0ms 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
Finished.
This example was created by evevalentine2017
Finished in 174.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: spiky bald hairstyle, short hair, mexican skin, gloves, Fishnet tight, fishnet crop top military, 1girl, dark black hair, ((hair cut super short,)), soft Brown eyes, smile lips, hold a bomb botton, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
Full negative prompt: nipples, EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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100%|ββββββββββ| 40/40 [01:04<00:00, 1.61s/it]
Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 4.3ms preprocess, 7.8ms inference, 27.9ms 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
0: 640x640 1 hand, 7.2ms
Speed: 2.9ms 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 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 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...
done in 0.23s
Move latents to cpu...
done in 0.0s
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100%|ββββββββββ| 23/23 [00:09<00:00, 2.35it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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100%|ββββββββββ| 23/23 [00:09<00:00, 2.38it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.9ms 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
0: 640x640 1 hand, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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61%|ββββββ | 14/23 [00:06<00:03, 2.25it/s]
65%|βββββββ | 15/23 [00:06<00:03, 2.34it/s]
70%|βββββββ | 16/23 [00:07<00:03, 2.29it/s]
74%|ββββββββ | 17/23 [00:07<00:02, 2.37it/s]
78%|ββββββββ | 18/23 [00:07<00:02, 2.34it/s]
83%|βββββββββ | 19/23 [00:08<00:01, 2.38it/s]
87%|βββββββββ | 20/23 [00:08<00:01, 2.41it/s]
91%|ββββββββββ| 21/23 [00:09<00:00, 2.49it/s]
96%|ββββββββββ| 22/23 [00:09<00:00, 2.80it/s]
100%|ββββββββββ| 23/23 [00:09<00:00, 3.20it/s]
100%|ββββββββββ| 23/23 [00:09<00:00, 2.39it/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: 2.8ms preprocess, 7.2ms inference, 19.0ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/23 [00:00<?, ?it/s]
4%|β | 1/23 [00:00<00:10, 2.14it/s]
9%|β | 2/23 [00:00<00:09, 2.14it/s]
13%|ββ | 3/23 [00:01<00:09, 2.19it/s]
17%|ββ | 4/23 [00:01<00:08, 2.27it/s]
22%|βββ | 5/23 [00:02<00:08, 2.24it/s]
26%|βββ | 6/23 [00:02<00:07, 2.20it/s]
30%|βββ | 7/23 [00:03<00:07, 2.22it/s]
35%|ββββ | 8/23 [00:03<00:06, 2.27it/s]
39%|ββββ | 9/23 [00:04<00:06, 2.19it/s]
43%|βββββ | 10/23 [00:04<00:05, 2.21it/s]
48%|βββββ | 11/23 [00:04<00:05, 2.18it/s]
52%|ββββββ | 12/23 [00:05<00:04, 2.27it/s]
57%|ββββββ | 13/23 [00:05<00:04, 2.25it/s]
61%|ββββββ | 14/23 [00:06<00:04, 2.24it/s]
65%|βββββββ | 15/23 [00:06<00:03, 2.33it/s]
70%|βββββββ | 16/23 [00:07<00:03, 2.30it/s]
74%|ββββββββ | 17/23 [00:07<00:02, 2.39it/s]
78%|ββββββββ | 18/23 [00:07<00:02, 2.28it/s]
83%|βββββββββ | 19/23 [00:08<00:01, 2.36it/s]
87%|βββββββββ | 20/23 [00:08<00:01, 2.40it/s]
91%|ββββββββββ| 21/23 [00:09<00:00, 2.46it/s]
96%|ββββββββββ| 22/23 [00:09<00:00, 2.82it/s]
100%|ββββββββββ| 23/23 [00:09<00:00, 3.25it/s]
100%|ββββββββββ| 23/23 [00:09<00:00, 2.40it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/23 [00:00<?, ?it/s]
4%|β | 1/23 [00:00<00:10, 2.09it/s]
9%|β | 2/23 [00:00<00:09, 2.14it/s]
13%|ββ | 3/23 [00:01<00:09, 2.17it/s]
17%|ββ | 4/23 [00:01<00:08, 2.25it/s]
22%|βββ | 5/23 [00:02<00:08, 2.23it/s]
26%|βββ | 6/23 [00:02<00:07, 2.20it/s]
30%|βββ | 7/23 [00:03<00:07, 2.22it/s]
35%|ββββ | 8/23 [00:03<00:06, 2.27it/s]
39%|ββββ | 9/23 [00:04<00:06, 2.20it/s]
43%|βββββ | 10/23 [00:04<00:05, 2.18it/s]
48%|βββββ | 11/23 [00:05<00:05, 2.15it/s]
52%|ββββββ | 12/23 [00:05<00:04, 2.25it/s]
57%|ββββββ | 13/23 [00:05<00:04, 2.24it/s]
61%|ββββββ | 14/23 [00:06<00:03, 2.25it/s]
65%|βββββββ | 15/23 [00:06<00:03, 2.33it/s]
70%|βββββββ | 16/23 [00:07<00:03, 2.33it/s]
74%|ββββββββ | 17/23 [00:07<00:02, 2.42it/s]
78%|ββββββββ | 18/23 [00:07<00:02, 2.34it/s]
83%|βββββββββ | 19/23 [00:08<00:01, 2.40it/s]
87%|βββββββββ | 20/23 [00:08<00:01, 2.43it/s]
91%|ββββββββββ| 21/23 [00:09<00:00, 2.52it/s]
96%|ββββββββββ| 22/23 [00:09<00:00, 2.87it/s]
100%|ββββββββββ| 23/23 [00:09<00:00, 3.31it/s]
100%|ββββββββββ| 23/23 [00:09<00:00, 2.41it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Finished.