Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 63.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: (Masterpiece), (best quality), (professional photo), (perfect anatomy), high fidelity nightlife snapshot of the exhilarating bartender hottie leans into a viewer and resting on the bar, lowkey nightclub, high bust, inked, plunge tshirt and duke shorts, subtle femme facial features, refined snub nose, a look with a hint and a mischievous smile, makeup, noticeable cheekbones, (soft shadowing, focused, realness authenticity:1.4), (glossy skin), (volumetric), <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:1>
Full negative prompt: low resolution, ((mannequin, silicon doll, render)), childish, explicit nubile, painting, digitalart, poor collage, photoshopped, distortion, dysfunctional, augmented, detached, ripped, minor background, easynegative, boring_e621_v4, negative_hand-neg
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.9ms
Speed: 3.2ms preprocess, 7.9ms inference, 31.7ms 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, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.4ms 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, 7.3ms
Speed: 2.6ms preprocess, 7.3ms 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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0: 640x640 2 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms 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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0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms 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, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.0ms
Speed: 2.9ms preprocess, 7.0ms 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
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done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 63.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: (Masterpiece), (best quality), (professional photo), (perfect anatomy), high fidelity nightlife snapshot of the exhilarating bartender hottie leans into a viewer and resting on the bar, lowkey nightclub, high bust, inked, plunge tshirt and duke shorts, subtle femme facial features, refined snub nose, a look with a hint and a mischievous smile, makeup, noticeable cheekbones, (soft shadowing, focused, realness authenticity:1.4), (glossy skin), (volumetric), <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:1>
Full negative prompt: low resolution, ((mannequin, silicon doll, render)), childish, explicit nubile, painting, digitalart, poor collage, photoshopped, distortion, dysfunctional, augmented, detached, ripped, minor background, easynegative, boring_e621_v4, negative_hand-neg
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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: 3.2ms preprocess, 7.9ms inference, 31.7ms 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...
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0: 640x640 1 hand, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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64%|██████▍ | 9/14 [00:01<00:01, 4.86it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.92it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.85it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.80it/s]
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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, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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29%|██▊ | 4/14 [00:00<00:02, 4.77it/s]
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50%|█████ | 7/14 [00:01<00:01, 4.87it/s]
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64%|██████▍ | 9/14 [00:01<00:01, 4.92it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.94it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.87it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.66it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.90it/s]
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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, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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7%|▋ | 1/14 [00:00<00:02, 5.11it/s]
14%|█▍ | 2/14 [00:00<00:02, 5.12it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.96it/s]
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57%|█████▋ | 8/14 [00:01<00:01, 4.93it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.97it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.97it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.99it/s]
86%|████████▌ | 12/14 [00:02<00:00, 5.01it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.97it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/14 [00:00<?, ?it/s]
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14%|█▍ | 2/14 [00:00<00:02, 4.69it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.75it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.80it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.83it/s]
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50%|█████ | 7/14 [00:01<00:01, 4.75it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.82it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.88it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.93it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.96it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.94it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.95it/s]
100%|██████████| 14/14 [00:02<00:00, 4.98it/s]
100%|██████████| 14/14 [00:02<00:00, 4.89it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 4.99it/s]
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21%|██▏ | 3/14 [00:00<00:02, 4.85it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.93it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.95it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.92it/s]
50%|█████ | 7/14 [00:01<00:01, 4.97it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.94it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.98it/s]
71%|███████▏ | 10/14 [00:02<00:00, 5.00it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.97it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.96it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.90it/s]
100%|██████████| 14/14 [00:02<00:00, 4.97it/s]
100%|██████████| 14/14 [00:02<00:00, 4.95it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 4.77it/s]
14%|█▍ | 2/14 [00:00<00:02, 4.86it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.73it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.43it/s]
36%|███▌ | 5/14 [00:01<00:02, 4.40it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.47it/s]
50%|█████ | 7/14 [00:01<00:01, 4.54it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.61it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.55it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.64it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.59it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.53it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.41it/s]
100%|██████████| 14/14 [00:03<00:00, 4.40it/s]
100%|██████████| 14/14 [00:03<00:00, 4.52it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 4.85it/s]
14%|█▍ | 2/14 [00:00<00:02, 4.82it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.87it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.76it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.77it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.81it/s]
50%|█████ | 7/14 [00:01<00:01, 4.89it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.86it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.84it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.86it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.92it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.94it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.98it/s]
100%|██████████| 14/14 [00:02<00:00, 4.92it/s]
100%|██████████| 14/14 [00:02<00:00, 4.88it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 4.93it/s]
14%|█▍ | 2/14 [00:00<00:02, 4.99it/s]
21%|██▏ | 3/14 [00:00<00:02, 5.03it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.60it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.70it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.84it/s]
50%|█████ | 7/14 [00:01<00:01, 4.91it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.94it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.90it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.86it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.91it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.88it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.92it/s]
100%|██████████| 14/14 [00:02<00:00, 4.97it/s]
100%|██████████| 14/14 [00:02<00:00, 4.89it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.