Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 44.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: masterpiece, best quality, 8k, (looking at viewer:1.1), gorgeous, hot, seductive, young woman, (eye contact:1.1), beautiful face, (detailed face:1.2), (excited:1.2), hyper detailed, best quality, ultra high res, black hair, elven, outdoors, photorealistic, high resolution, detailed, raw photo, 1girl, white wet see-trough swimsuit, (wet:1.2), floating long hair
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, 9.5ms
Speed: 3.6ms preprocess, 9.5ms inference, 35.1ms 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), 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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, 7.5ms
Speed: 2.7ms 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 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.7ms 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...
done in 0.0s
0: 640x640 1 face, 7.8ms
Speed: 2.8ms preprocess, 7.8ms inference, 1.5ms 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 (no detections), 9.0ms
Speed: 2.8ms preprocess, 9.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 8.6ms
Speed: 3.4ms preprocess, 8.6ms inference, 1.6ms 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), 8.1ms
Speed: 3.0ms preprocess, 8.1ms inference, 0.9ms 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 44.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: masterpiece, best quality, 8k, (looking at viewer:1.1), gorgeous, hot, seductive, young woman, (eye contact:1.1), beautiful face, (detailed face:1.2), (excited:1.2), hyper detailed, best quality, ultra high res, black hair, elven, outdoors, photorealistic, high resolution, detailed, raw photo, 1girl, white wet see-trough swimsuit, (wet:1.2), floating long hair
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, 9.5ms
Speed: 3.6ms preprocess, 9.5ms inference, 35.1ms 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), 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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, 7.5ms
Speed: 2.7ms 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 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.7ms 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 face, 7.8ms
Speed: 2.8ms preprocess, 7.8ms inference, 1.5ms 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 (no detections), 9.0ms
Speed: 2.8ms preprocess, 9.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 8.6ms
Speed: 3.4ms preprocess, 8.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:01<00:00, 6.51it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.50it/s]
93%|█████████▎| 13/14 [00:02<00:00, 6.43it/s]
100%|██████████| 14/14 [00:02<00:00, 6.43it/s]
100%|██████████| 14/14 [00:02<00:00, 6.48it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 8.1ms
Speed: 3.0ms preprocess, 8.1ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.