Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 60.2 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality), HDR,high-definition, Intricate Details, vray render, octane render, 1girl, curvy, elf, (shiny dark skin:1.2), long white hair, lace jewelry accessories, sexy pose, big ferns waterfall, backgroundvolumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>
Full negative prompt: sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2
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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 1.76s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 10.6ms preprocess, 7.6ms inference, 38.3ms 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 1 hand, 7.5ms
Speed: 2.8ms preprocess, 7.5ms 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 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.7ms 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, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 4.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.5ms
Speed: 2.7ms preprocess, 8.5ms inference, 1.7ms 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 1 hand, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.4ms 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 1 face, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms 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, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
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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 60.2 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality), HDR,high-definition, Intricate Details, vray render, octane render, 1girl, curvy, elf, (shiny dark skin:1.2), long white hair, lace jewelry accessories, sexy pose, big ferns waterfall, backgroundvolumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>
Full negative prompt: sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2
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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 1.76s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 10.6ms preprocess, 7.6ms inference, 38.3ms 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 1 hand, 7.5ms
Speed: 2.8ms preprocess, 7.5ms 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 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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23%|██▎ | 3/13 [00:00<00:01, 6.66it/s]
31%|███ | 4/13 [00:00<00:01, 6.64it/s]
38%|███▊ | 5/13 [00:00<00:01, 6.63it/s]
46%|████▌ | 6/13 [00:00<00:01, 6.54it/s]
54%|█████▍ | 7/13 [00:01<00:00, 6.47it/s]
62%|██████▏ | 8/13 [00:01<00:00, 6.40it/s]
69%|██████▉ | 9/13 [00:01<00:00, 6.42it/s]
77%|███████▋ | 10/13 [00:01<00:00, 6.47it/s]
85%|████████▍ | 11/13 [00:01<00:00, 6.50it/s]
92%|█████████▏| 12/13 [00:01<00:00, 6.51it/s]
100%|██████████| 13/13 [00:01<00:00, 6.46it/s]
100%|██████████| 13/13 [00:01<00:00, 6.52it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 4.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:01, 6.95it/s]
15%|█▌ | 2/13 [00:00<00:01, 6.77it/s]
23%|██▎ | 3/13 [00:00<00:01, 6.63it/s]
31%|███ | 4/13 [00:00<00:01, 6.61it/s]
38%|███▊ | 5/13 [00:00<00:01, 6.57it/s]
46%|████▌ | 6/13 [00:00<00:01, 6.52it/s]
54%|█████▍ | 7/13 [00:01<00:00, 6.47it/s]
62%|██████▏ | 8/13 [00:01<00:00, 6.39it/s]
69%|██████▉ | 9/13 [00:01<00:00, 6.40it/s]
77%|███████▋ | 10/13 [00:01<00:00, 6.46it/s]
85%|████████▍ | 11/13 [00:01<00:00, 6.50it/s]
92%|█████████▏| 12/13 [00:01<00:00, 6.50it/s]
100%|██████████| 13/13 [00:01<00:00, 6.47it/s]
100%|██████████| 13/13 [00:01<00:00, 6.51it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:01, 6.73it/s]
15%|█▌ | 2/13 [00:00<00:01, 6.67it/s]
23%|██▎ | 3/13 [00:00<00:01, 6.66it/s]
31%|███ | 4/13 [00:00<00:01, 6.63it/s]
38%|███▊ | 5/13 [00:00<00:01, 6.54it/s]
46%|████▌ | 6/13 [00:00<00:01, 6.44it/s]
54%|█████▍ | 7/13 [00:01<00:00, 6.40it/s]
62%|██████▏ | 8/13 [00:01<00:00, 6.40it/s]
69%|██████▉ | 9/13 [00:01<00:00, 6.46it/s]
77%|███████▋ | 10/13 [00:01<00:00, 6.49it/s]
85%|████████▍ | 11/13 [00:01<00:00, 6.44it/s]
92%|█████████▏| 12/13 [00:01<00:00, 6.39it/s]
100%|██████████| 13/13 [00:02<00:00, 6.34it/s]
100%|██████████| 13/13 [00:02<00:00, 6.45it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.5ms
Speed: 2.7ms preprocess, 8.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:01, 6.98it/s]
15%|█▌ | 2/13 [00:00<00:01, 6.75it/s]
23%|██▎ | 3/13 [00:00<00:01, 6.67it/s]
31%|███ | 4/13 [00:00<00:01, 6.64it/s]
38%|███▊ | 5/13 [00:00<00:01, 6.57it/s]
46%|████▌ | 6/13 [00:00<00:01, 6.49it/s]
54%|█████▍ | 7/13 [00:01<00:00, 6.42it/s]
62%|██████▏ | 8/13 [00:01<00:00, 6.39it/s]
69%|██████▉ | 9/13 [00:01<00:00, 6.42it/s]
77%|███████▋ | 10/13 [00:01<00:00, 6.44it/s]
85%|████████▍ | 11/13 [00:01<00:00, 6.48it/s]
92%|█████████▏| 12/13 [00:01<00:00, 6.47it/s]
100%|██████████| 13/13 [00:02<00:00, 6.42it/s]
100%|██████████| 13/13 [00:02<00:00, 6.49it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:01, 6.97it/s]
15%|█▌ | 2/13 [00:00<00:01, 6.74it/s]
23%|██▎ | 3/13 [00:00<00:01, 6.66it/s]
31%|███ | 4/13 [00:00<00:01, 6.64it/s]
38%|███▊ | 5/13 [00:00<00:01, 6.44it/s]
46%|████▌ | 6/13 [00:00<00:01, 6.41it/s]
54%|█████▍ | 7/13 [00:01<00:00, 6.35it/s]
62%|██████▏ | 8/13 [00:01<00:00, 6.33it/s]
69%|██████▉ | 9/13 [00:01<00:00, 6.37it/s]
77%|███████▋ | 10/13 [00:01<00:00, 6.43it/s]
85%|████████▍ | 11/13 [00:01<00:00, 6.45it/s]
92%|█████████▏| 12/13 [00:01<00:00, 6.43it/s]
100%|██████████| 13/13 [00:02<00:00, 6.37it/s]
100%|██████████| 13/13 [00:02<00:00, 6.44it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:01, 6.88it/s]
15%|█▌ | 2/13 [00:00<00:01, 6.68it/s]
23%|██▎ | 3/13 [00:00<00:01, 6.63it/s]
31%|███ | 4/13 [00:00<00:01, 6.62it/s]
38%|███▊ | 5/13 [00:00<00:01, 6.44it/s]
46%|████▌ | 6/13 [00:00<00:01, 6.38it/s]
54%|█████▍ | 7/13 [00:01<00:00, 6.32it/s]
62%|██████▏ | 8/13 [00:01<00:00, 6.31it/s]
69%|██████▉ | 9/13 [00:01<00:00, 6.33it/s]
77%|███████▋ | 10/13 [00:01<00:00, 6.41it/s]
85%|████████▍ | 11/13 [00:01<00:00, 6.41it/s]
92%|█████████▏| 12/13 [00:01<00:00, 6.41it/s]
100%|██████████| 13/13 [00:02<00:00, 6.36it/s]
100%|██████████| 13/13 [00:02<00:00, 6.42it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:01, 6.95it/s]
15%|█▌ | 2/13 [00:00<00:01, 6.73it/s]
23%|██▎ | 3/13 [00:00<00:01, 6.64it/s]
31%|███ | 4/13 [00:00<00:01, 6.59it/s]
38%|███▊ | 5/13 [00:00<00:01, 6.58it/s]
46%|████▌ | 6/13 [00:00<00:01, 6.44it/s]
54%|█████▍ | 7/13 [00:01<00:00, 6.37it/s]
62%|██████▏ | 8/13 [00:01<00:00, 6.33it/s]
69%|██████▉ | 9/13 [00:01<00:00, 6.34it/s]
77%|███████▋ | 10/13 [00:01<00:00, 6.40it/s]
85%|████████▍ | 11/13 [00:01<00:00, 6.43it/s]
92%|█████████▏| 12/13 [00:01<00:00, 6.40it/s]
100%|██████████| 13/13 [00:02<00:00, 6.35it/s]
100%|██████████| 13/13 [00:02<00:00, 6.44it/s]
Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
0%| | 0/13 [00:00<?, ?it/s]
8%|▊ | 1/13 [00:00<00:01, 6.04it/s]
15%|█▌ | 2/13 [00:00<00:01, 6.34it/s]
23%|██▎ | 3/13 [00:00<00:01, 6.44it/s]
31%|███ | 4/13 [00:00<00:01, 6.48it/s]
38%|███▊ | 5/13 [00:00<00:01, 6.39it/s]
46%|████▌ | 6/13 [00:00<00:01, 6.35it/s]
54%|█████▍ | 7/13 [00:01<00:00, 6.27it/s]
62%|██████▏ | 8/13 [00:01<00:00, 6.33it/s]
69%|██████▉ | 9/13 [00:01<00:00, 6.40it/s]
77%|███████▋ | 10/13 [00:01<00:00, 6.44it/s]
85%|████████▍ | 11/13 [00:01<00:00, 6.39it/s]
92%|█████████▏| 12/13 [00:01<00:00, 6.35it/s]
100%|██████████| 13/13 [00:02<00:00, 6.31it/s]
100%|██████████| 13/13 [00:02<00:00, 6.35it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Finished.