Version: v7.0
Input
Output
This example was created by evevalentine2017
Finished in 163.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: elegant, anime style, sorceress, 1girl, woman, nude, cameltoe, bombshell hair, red-orange hair, bombshell hair,Messy Bun, thick thighs, narrow waist, albino, <lora:EnvyEleganceXL01:1.0>
Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolution, extra fingers, blur, blurry, ugly, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy, child, loli, underage, teen, young, young face, loli face, lolicon, flat chest, child, children, cub, small, short, babyface, tiny, nude, naked, bad hands, bad face, deformed face,
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.9ms
Speed: 3.4ms preprocess, 7.9ms inference, 30.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.2ms
Speed: 3.0ms preprocess, 7.2ms 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, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 1.5ms 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 1 face, 7.7ms
Speed: 3.0ms preprocess, 7.7ms 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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0: 640x640 2 hands, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.4ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 163.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: elegant, anime style, sorceress, 1girl, woman, nude, cameltoe, bombshell hair, red-orange hair, bombshell hair,Messy Bun, thick thighs, narrow waist, albino, <lora:EnvyEleganceXL01:1.0>
Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolution, extra fingers, blur, blurry, ugly, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy, child, loli, underage, teen, young, young face, loli face, lolicon, flat chest, child, children, cub, small, short, babyface, tiny, nude, naked, bad hands, bad face, deformed face,
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Decoding latents in cuda:0...
done in 2.34s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.9ms
Speed: 3.4ms preprocess, 7.9ms inference, 30.2ms 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 2 hands, 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.76s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 3.0ms 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 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.5ms
Speed: 3.2ms 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 0.78s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 1.6ms 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 2 hands, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 16/16 [00:10<00:00, 1.60it/s]
100%|██████████| 16/16 [00:10<00:00, 1.60it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
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100%|██████████| 16/16 [00:09<00:00, 1.62it/s]
100%|██████████| 16/16 [00:09<00:00, 1.62it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.