Version: b2d0816
Input
Output
This example was created by evevalentine2017
Finished in 187.0 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (ultra realistic,32k, masterpiece:1.2),(high detailed skin:1.1), 8k uhd, dslr, high quality,(makeup, mascara:0.9), (thick\lips\),
twintails, serafuku, red neckerchief, blue skirt, polka dot legwear, huge breast, (looking at viewer, sitting:1.1), (bioluminiscent:1.1), blank background <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
Full negative prompt: 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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Move latents to cpu...
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0: 640x640 1 face, 8.1ms
Speed: 4.3ms preprocess, 8.1ms inference, 39.0ms 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, 7.4ms
Speed: 3.3ms preprocess, 7.4ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 2.5ms 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, 7.4ms
Speed: 3.2ms preprocess, 7.4ms inference, 2.7ms 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 face, 21.7ms
Speed: 2.9ms preprocess, 21.7ms inference, 2.4ms 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, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 2.0ms 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 face, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 2.3ms 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...
done in 0.0s
0: 640x640 2 hands, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Finished.
This example was created by evevalentine2017
Finished in 187.0 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (ultra realistic,32k, masterpiece:1.2),(high detailed skin:1.1), 8k uhd, dslr, high quality,(makeup, mascara:0.9), (thick\lips\),
twintails, serafuku, red neckerchief, blue skirt, polka dot legwear, huge breast, (looking at viewer, sitting:1.1), (bioluminiscent:1.1), blank background <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
Full negative prompt: 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...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.1ms
Speed: 4.3ms preprocess, 8.1ms inference, 39.0ms 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 0.01s
0: 640x640 2 hands, 7.4ms
Speed: 3.3ms preprocess, 7.4ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.49s
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.4ms
Speed: 3.2ms preprocess, 7.4ms inference, 2.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 21.7ms
Speed: 2.9ms preprocess, 21.7ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 9/23 [00:04<00:06, 2.12it/s]
43%|████▎ | 10/23 [00:04<00:06, 2.15it/s]
48%|████▊ | 11/23 [00:05<00:05, 2.15it/s]
52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s]
57%|█████▋ | 13/23 [00:05<00:04, 2.22it/s]
61%|██████ | 14/23 [00:06<00:04, 2.21it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s]
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74%|███████▍ | 17/23 [00:07<00:02, 2.32it/s]
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83%|████████▎ | 19/23 [00:08<00:01, 2.30it/s]
87%|████████▋ | 20/23 [00:09<00:01, 2.31it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.12it/s]
100%|██████████| 23/23 [00:09<00:00, 2.33it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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35%|███▍ | 8/23 [00:03<00:06, 2.21it/s]
39%|███▉ | 9/23 [00:04<00:06, 2.14it/s]
43%|████▎ | 10/23 [00:04<00:06, 2.14it/s]
48%|████▊ | 11/23 [00:05<00:05, 2.12it/s]
52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s]
57%|█████▋ | 13/23 [00:06<00:04, 2.18it/s]
61%|██████ | 14/23 [00:06<00:04, 2.17it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.25it/s]
70%|██████▉ | 16/23 [00:07<00:03, 2.24it/s]
74%|███████▍ | 17/23 [00:07<00:02, 2.33it/s]
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83%|████████▎ | 19/23 [00:08<00:01, 2.32it/s]
87%|████████▋ | 20/23 [00:09<00:01, 2.35it/s]
91%|█████████▏| 21/23 [00:09<00:00, 2.43it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.17it/s]
100%|██████████| 23/23 [00:09<00:00, 2.33it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 9/23 [00:04<00:06, 2.11it/s]
43%|████▎ | 10/23 [00:04<00:06, 2.11it/s]
48%|████▊ | 11/23 [00:05<00:05, 2.12it/s]
52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s]
57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s]
61%|██████ | 14/23 [00:06<00:04, 2.20it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.28it/s]
70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s]
74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s]
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83%|████████▎ | 19/23 [00:08<00:01, 2.33it/s]
87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s]
91%|█████████▏| 21/23 [00:09<00:00, 2.42it/s]
96%|█████████▌| 22/23 [00:09<00:00, 2.75it/s]
100%|██████████| 23/23 [00:09<00:00, 3.16it/s]
100%|██████████| 23/23 [00:09<00:00, 2.32it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0%| | 0/23 [00:00<?, ?it/s]
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17%|█▋ | 4/23 [00:01<00:08, 2.15it/s]
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26%|██▌ | 6/23 [00:02<00:08, 2.12it/s]
30%|███ | 7/23 [00:03<00:07, 2.16it/s]
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39%|███▉ | 9/23 [00:04<00:06, 2.11it/s]
43%|████▎ | 10/23 [00:04<00:06, 2.10it/s]
48%|████▊ | 11/23 [00:05<00:05, 2.11it/s]
52%|█████▏ | 12/23 [00:05<00:04, 2.22it/s]
57%|█████▋ | 13/23 [00:06<00:04, 2.21it/s]
61%|██████ | 14/23 [00:06<00:04, 2.21it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s]
70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s]
74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s]
78%|███████▊ | 18/23 [00:08<00:02, 2.26it/s]
83%|████████▎ | 19/23 [00:08<00:01, 2.33it/s]
87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s]
91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s]
96%|█████████▌| 22/23 [00:09<00:00, 2.77it/s]
100%|██████████| 23/23 [00:09<00:00, 3.20it/s]
100%|██████████| 23/23 [00:09<00:00, 2.33it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Finished.