Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 106.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.4), solo, portrait of a cute girl, blonde, open mouth, (vampire, glowing red eyes, vampire fangs:1.05), (22 years old, petite:1.2), (subdued moonlight, backlighting, blurred night city landscape behind the window:1.1), skinny, 8k, extremely detailed face and eyes, (underwear:0.9), emotionless face, (pale skin, gothic make-up:1.15), <lora:Girl_face_3:0.3>
Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.01s
0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.8ms 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 0.44s
Move latents to cpu...
done in 0.22s
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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: 2.7ms preprocess, 7.2ms inference, 1.3ms 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, 7.0ms
Speed: 2.6ms 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.4ms
Speed: 2.7ms preprocess, 8.4ms 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 (no detections), 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms 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, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 106.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.4), solo, portrait of a cute girl, blonde, open mouth, (vampire, glowing red eyes, vampire fangs:1.05), (22 years old, petite:1.2), (subdued moonlight, backlighting, blurred night city landscape behind the window:1.1), skinny, 8k, extremely detailed face and eyes, (underwear:0.9), emotionless face, (pale skin, gothic make-up:1.15), <lora:Girl_face_3:0.3>
Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.01s
0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.8ms 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 0.44s
Move latents to cpu...
done in 0.22s
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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: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 13/13 [00:05<00:00, 2.99it/s]
100%|██████████| 13/13 [00:05<00:00, 2.39it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
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69%|██████▉ | 9/13 [00:04<00:01, 2.23it/s]
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85%|████████▍ | 11/13 [00:04<00:00, 2.29it/s]
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100%|██████████| 13/13 [00:05<00:00, 2.99it/s]
100%|██████████| 13/13 [00:05<00:00, 2.38it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.4ms
Speed: 2.7ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
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69%|██████▉ | 9/13 [00:04<00:01, 2.24it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.23it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.26it/s]
92%|█████████▏| 12/13 [00:05<00:00, 2.48it/s]
100%|██████████| 13/13 [00:05<00:00, 2.94it/s]
100%|██████████| 13/13 [00:05<00:00, 2.37it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
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62%|██████▏ | 8/13 [00:03<00:02, 2.11it/s]
69%|██████▉ | 9/13 [00:04<00:01, 2.14it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.17it/s]
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100%|██████████| 13/13 [00:05<00:00, 2.87it/s]
100%|██████████| 13/13 [00:05<00:00, 2.33it/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: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
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69%|██████▉ | 9/13 [00:04<00:01, 2.22it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.22it/s]
85%|████████▍ | 11/13 [00:05<00:00, 2.27it/s]
92%|█████████▏| 12/13 [00:05<00:00, 2.52it/s]
100%|██████████| 13/13 [00:05<00:00, 2.95it/s]
100%|██████████| 13/13 [00:05<00:00, 2.35it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.