Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 266.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: Shot with iPhone, Snapchat selfie, stunning 20-year-old blonde Instagram influencer girl, Madison Beer, person, big beautiful hazel eyes, thick painted lips, wearing lace lingerie in a luxurious hotel room, heavy makeup, skin pores, high detail skin, night time, dark low lit, clutter, bad quality, grainy jpg, blurred
Full negative prompt: text, watermark, undersaturated colors, washed out, static, still, instantaneous, unchanging, camera, blurry
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Decoding latents in cuda:0...
done in 2.36s
Move latents to cpu...
done in 0.03s
0: 640x640 2 faces, 8.6ms
Speed: 3.5ms preprocess, 8.6ms inference, 22.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.7ms
Speed: 3.5ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 15.3ms
Speed: 3.1ms preprocess, 15.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 8.8ms
Speed: 3.4ms preprocess, 8.8ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 8.1ms
Speed: 3.0ms preprocess, 8.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 3.0ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 266.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: Shot with iPhone, Snapchat selfie, stunning 20-year-old blonde Instagram influencer girl, Madison Beer, person, big beautiful hazel eyes, thick painted lips, wearing lace lingerie in a luxurious hotel room, heavy makeup, skin pores, high detail skin, night time, dark low lit, clutter, bad quality, grainy jpg, blurred
Full negative prompt: text, watermark, undersaturated colors, washed out, static, still, instantaneous, unchanging, camera, blurry
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Decoding latents in cuda:0...
done in 2.36s
Move latents to cpu...
done in 0.03s
0: 640x640 2 faces, 8.6ms
Speed: 3.5ms preprocess, 8.6ms inference, 22.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.7ms
Speed: 3.5ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 15.3ms
Speed: 3.1ms preprocess, 15.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 8.8ms
Speed: 3.4ms preprocess, 8.8ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 8.1ms
Speed: 3.0ms preprocess, 8.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 3.0ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
Uploading outputs...
Finished.