Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 141.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: masterpiece, high quality, hyper detailed, an incredibly beautiful woman, 24 year old, big breasts, blonde brown hair, sexy, seductive, attractive look, blue eyes, perfect lips, gold choker around the neck, beach background, perfect lighting, looking at the viewer, 8k, 4k, <lora:hairdetailer:1>
Full negative prompt: EasyNegative, nsfw, nipples, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.7ms
Speed: 2.9ms preprocess, 7.7ms inference, 23.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 (no detections), 9.0ms
Speed: 2.9ms preprocess, 9.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 15.1ms
Speed: 3.7ms preprocess, 15.1ms 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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0: 640x640 1 hand, 8.0ms
Speed: 2.7ms preprocess, 8.0ms inference, 1.8ms 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, 7.9ms
Speed: 3.3ms preprocess, 7.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 1.8ms 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 (no detections), 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 141.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: masterpiece, high quality, hyper detailed, an incredibly beautiful woman, 24 year old, big breasts, blonde brown hair, sexy, seductive, attractive look, blue eyes, perfect lips, gold choker around the neck, beach background, perfect lighting, looking at the viewer, 8k, 4k, <lora:hairdetailer:1>
Full negative prompt: EasyNegative, nsfw, nipples, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 2.9ms preprocess, 7.7ms inference, 23.6ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 23/23 [00:09<00:00, 2.49it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.01s
0: 640x640 (no detections), 9.0ms
Speed: 2.9ms preprocess, 9.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 15.1ms
Speed: 3.7ms preprocess, 15.1ms inference, 2.5ms 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, 8.0ms
Speed: 2.7ms preprocess, 8.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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48%|████▊ | 11/23 [00:04<00:05, 2.39it/s]
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57%|█████▋ | 13/23 [00:05<00:04, 2.48it/s]
61%|██████ | 14/23 [00:05<00:03, 2.41it/s]
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70%|██████▉ | 16/23 [00:06<00:02, 2.40it/s]
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83%|████████▎ | 19/23 [00:07<00:01, 2.49it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.22it/s]
100%|██████████| 23/23 [00:09<00:00, 2.50it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.9ms
Speed: 3.3ms preprocess, 7.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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30%|███ | 7/23 [00:03<00:07, 2.23it/s]
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43%|████▎ | 10/23 [00:04<00:05, 2.31it/s]
48%|████▊ | 11/23 [00:04<00:05, 2.32it/s]
52%|█████▏ | 12/23 [00:05<00:04, 2.35it/s]
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61%|██████ | 14/23 [00:06<00:03, 2.35it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.42it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.26it/s]
100%|██████████| 23/23 [00:09<00:00, 2.48it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 14/23 [00:06<00:03, 2.38it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.34it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.