Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 202.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: ((realistic:1.5)), ((best quality)), ((masterpiece)), ((detailed)), a stunningly beautiful blonde princess, solo, (dark skin:1.3), vain and arrogant, headdress, wicked, jewels and jewelery, from a balcony of her elaborate room, ancient barbarian palace in the background, water, atmospheric fog, by Frank Frazetta, by Luis Royo, by boris vallejo, barbarian_woman, armor, <lora:edgBarbarian_MINI:1>, <lora:FaceBeauty_qinglong_V3:1>, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: nipples, nude, naked, topless, colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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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 1.79s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 21.2ms 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 2 hands, 7.4ms
Speed: 2.8ms preprocess, 7.4ms 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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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 10.6ms
Speed: 2.7ms preprocess, 10.6ms inference, 1.5ms 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
0: 640x640 2 hands, 6.8ms
Speed: 2.6ms 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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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 7.6ms preprocess, 7.3ms inference, 1.5ms 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
0: 640x640 2 hands, 6.6ms
Speed: 2.6ms preprocess, 6.6ms inference, 1.3ms 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, 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 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.7ms
Speed: 2.9ms preprocess, 6.7ms 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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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 202.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: ((realistic:1.5)), ((best quality)), ((masterpiece)), ((detailed)), a stunningly beautiful blonde princess, solo, (dark skin:1.3), vain and arrogant, headdress, wicked, jewels and jewelery, from a balcony of her elaborate room, ancient barbarian palace in the background, water, atmospheric fog, by Frank Frazetta, by Luis Royo, by boris vallejo, barbarian_woman, armor, <lora:edgBarbarian_MINI:1>, <lora:FaceBeauty_qinglong_V3:1>, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: nipples, nude, naked, topless, colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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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 1.79s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 21.2ms 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 2 hands, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 2.0ms 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...
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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, 10.6ms
Speed: 2.7ms preprocess, 10.6ms inference, 1.5ms 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
0: 640x640 2 hands, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 21/21 [00:08<00:00, 3.36it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
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43%|████▎ | 9/21 [00:03<00:04, 2.46it/s]
48%|████▊ | 10/21 [00:04<00:04, 2.36it/s]
52%|█████▏ | 11/21 [00:04<00:04, 2.39it/s]
57%|█████▋ | 12/21 [00:05<00:03, 2.30it/s]
62%|██████▏ | 13/21 [00:05<00:03, 2.38it/s]
67%|██████▋ | 14/21 [00:05<00:02, 2.42it/s]
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81%|████████ | 17/21 [00:07<00:01, 2.40it/s]
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100%|██████████| 21/21 [00:08<00:00, 3.31it/s]
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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, 7.3ms
Speed: 7.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 9/21 [00:03<00:04, 2.56it/s]
48%|████▊ | 10/21 [00:04<00:04, 2.45it/s]
52%|█████▏ | 11/21 [00:04<00:04, 2.48it/s]
57%|█████▋ | 12/21 [00:05<00:03, 2.37it/s]
62%|██████▏ | 13/21 [00:05<00:03, 2.43it/s]
67%|██████▋ | 14/21 [00:05<00:02, 2.46it/s]
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81%|████████ | 17/21 [00:07<00:01, 2.51it/s]
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100%|██████████| 21/21 [00:08<00:00, 3.38it/s]
100%|██████████| 21/21 [00:08<00:00, 2.57it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.6ms
Speed: 2.6ms preprocess, 6.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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33%|███▎ | 7/21 [00:02<00:05, 2.50it/s]
38%|███▊ | 8/21 [00:03<00:05, 2.58it/s]
43%|████▎ | 9/21 [00:03<00:04, 2.59it/s]
48%|████▊ | 10/21 [00:04<00:04, 2.48it/s]
52%|█████▏ | 11/21 [00:04<00:04, 2.50it/s]
57%|█████▋ | 12/21 [00:04<00:03, 2.38it/s]
62%|██████▏ | 13/21 [00:05<00:03, 2.44it/s]
67%|██████▋ | 14/21 [00:05<00:02, 2.48it/s]
71%|███████▏ | 15/21 [00:06<00:02, 2.39it/s]
76%|███████▌ | 16/21 [00:06<00:02, 2.41it/s]
81%|████████ | 17/21 [00:07<00:01, 2.48it/s]
86%|████████▌ | 18/21 [00:07<00:01, 2.58it/s]
90%|█████████ | 19/21 [00:07<00:00, 2.54it/s]
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100%|██████████| 21/21 [00:08<00:00, 3.24it/s]
100%|██████████| 21/21 [00:08<00:00, 2.55it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
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24%|██▍ | 5/21 [00:02<00:06, 2.33it/s]
29%|██▊ | 6/21 [00:02<00:06, 2.34it/s]
33%|███▎ | 7/21 [00:02<00:05, 2.47it/s]
38%|███▊ | 8/21 [00:03<00:05, 2.55it/s]
43%|████▎ | 9/21 [00:03<00:04, 2.59it/s]
48%|████▊ | 10/21 [00:04<00:04, 2.48it/s]
52%|█████▏ | 11/21 [00:04<00:03, 2.51it/s]
57%|█████▋ | 12/21 [00:04<00:03, 2.41it/s]
62%|██████▏ | 13/21 [00:05<00:03, 2.47it/s]
67%|██████▋ | 14/21 [00:05<00:02, 2.48it/s]
71%|███████▏ | 15/21 [00:06<00:02, 2.42it/s]
76%|███████▌ | 16/21 [00:06<00:02, 2.45it/s]
81%|████████ | 17/21 [00:06<00:01, 2.51it/s]
86%|████████▌ | 18/21 [00:07<00:01, 2.62it/s]
90%|█████████ | 19/21 [00:07<00:00, 2.62it/s]
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100%|██████████| 21/21 [00:08<00:00, 3.34it/s]
100%|██████████| 21/21 [00:08<00:00, 2.58it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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29%|██▊ | 6/21 [00:02<00:06, 2.35it/s]
33%|███▎ | 7/21 [00:02<00:05, 2.46it/s]
38%|███▊ | 8/21 [00:03<00:05, 2.53it/s]
43%|████▎ | 9/21 [00:03<00:04, 2.52it/s]
48%|████▊ | 10/21 [00:04<00:04, 2.40it/s]
52%|█████▏ | 11/21 [00:04<00:04, 2.43it/s]
57%|█████▋ | 12/21 [00:05<00:03, 2.35it/s]
62%|██████▏ | 13/21 [00:05<00:03, 2.42it/s]
67%|██████▋ | 14/21 [00:05<00:02, 2.46it/s]
71%|███████▏ | 15/21 [00:06<00:02, 2.38it/s]
76%|███████▌ | 16/21 [00:06<00:02, 2.42it/s]
81%|████████ | 17/21 [00:07<00:01, 2.49it/s]
86%|████████▌ | 18/21 [00:07<00:01, 2.59it/s]
90%|█████████ | 19/21 [00:07<00:00, 2.59it/s]
95%|█████████▌| 20/21 [00:08<00:00, 2.94it/s]
100%|██████████| 21/21 [00:08<00:00, 3.38it/s]
100%|██████████| 21/21 [00:08<00:00, 2.55it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.7ms
Speed: 2.9ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/21 [00:00<?, ?it/s]
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24%|██▍ | 5/21 [00:02<00:06, 2.40it/s]
29%|██▊ | 6/21 [00:02<00:06, 2.39it/s]
33%|███▎ | 7/21 [00:02<00:05, 2.50it/s]
38%|███▊ | 8/21 [00:03<00:05, 2.58it/s]
43%|████▎ | 9/21 [00:03<00:04, 2.61it/s]
48%|████▊ | 10/21 [00:04<00:04, 2.49it/s]
52%|█████▏ | 11/21 [00:04<00:03, 2.50it/s]
57%|█████▋ | 12/21 [00:04<00:03, 2.39it/s]
62%|██████▏ | 13/21 [00:05<00:03, 2.46it/s]
67%|██████▋ | 14/21 [00:05<00:02, 2.50it/s]
71%|███████▏ | 15/21 [00:06<00:02, 2.42it/s]
76%|███████▌ | 16/21 [00:06<00:02, 2.46it/s]
81%|████████ | 17/21 [00:06<00:01, 2.54it/s]
86%|████████▌ | 18/21 [00:07<00:01, 2.63it/s]
90%|█████████ | 19/21 [00:07<00:00, 2.64it/s]
95%|█████████▌| 20/21 [00:07<00:00, 3.01it/s]
100%|██████████| 21/21 [00:08<00:00, 3.44it/s]
100%|██████████| 21/21 [00:08<00:00, 2.61it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
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24%|██▍ | 5/21 [00:02<00:06, 2.39it/s]
29%|██▊ | 6/21 [00:02<00:06, 2.38it/s]
33%|███▎ | 7/21 [00:02<00:05, 2.51it/s]
38%|███▊ | 8/21 [00:03<00:05, 2.59it/s]
43%|████▎ | 9/21 [00:03<00:04, 2.55it/s]
48%|████▊ | 10/21 [00:04<00:04, 2.46it/s]
52%|█████▏ | 11/21 [00:04<00:04, 2.49it/s]
57%|█████▋ | 12/21 [00:04<00:03, 2.40it/s]
62%|██████▏ | 13/21 [00:05<00:03, 2.40it/s]
67%|██████▋ | 14/21 [00:05<00:02, 2.45it/s]
71%|███████▏ | 15/21 [00:06<00:02, 2.35it/s]
76%|███████▌ | 16/21 [00:06<00:02, 2.41it/s]
81%|████████ | 17/21 [00:06<00:01, 2.50it/s]
86%|████████▌ | 18/21 [00:07<00:01, 2.61it/s]
90%|█████████ | 19/21 [00:07<00:00, 2.61it/s]
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100%|██████████| 21/21 [00:08<00:00, 3.42it/s]
100%|██████████| 21/21 [00:08<00:00, 2.58it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.