Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 56.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: (Upper body view), (masterpiece:1.2), (best quality), (8k), (looking at viewer:1.1), enchanting, young woman, hot, gorgeous, seductive, (eye contact:1.1), ethereal face, (detailed face:1.2), hyper detailed, best quality, ultra high res, fiery red hair, celestial palace, photorealistic, high resolution, detailed, raw photo, 1 girl, celestial robes, surrounded by celestial beings<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 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 35.3ms 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 0.0s
0: 640x640 1 hand, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms 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 0.0s
0: 640x640 1 face, 7.9ms
Speed: 2.8ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 21.8ms
Speed: 2.8ms preprocess, 21.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.1ms
Speed: 2.8ms preprocess, 7.1ms 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, 9.5ms
Speed: 2.8ms preprocess, 9.5ms inference, 1.8ms 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 0.0s
0: 640x640 2 hands, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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done in 0.0s
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 56.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: (Upper body view), (masterpiece:1.2), (best quality), (8k), (looking at viewer:1.1), enchanting, young woman, hot, gorgeous, seductive, (eye contact:1.1), ethereal face, (detailed face:1.2), hyper detailed, best quality, ultra high res, fiery red hair, celestial palace, photorealistic, high resolution, detailed, raw photo, 1 girl, celestial robes, surrounded by celestial beings<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 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 35.3ms 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 0.0s
0: 640x640 1 hand, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms 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 0.0s
0: 640x640 1 face, 7.9ms
Speed: 2.8ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 21.8ms
Speed: 2.8ms preprocess, 21.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.1ms
Speed: 2.8ms preprocess, 7.1ms 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, 9.5ms
Speed: 2.8ms preprocess, 9.5ms inference, 1.8ms 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 0.0s
0: 640x640 2 hands, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 14/14 [00:02<00:00, 4.85it/s]
100%|██████████| 14/14 [00:02<00:00, 4.80it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.