Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 57.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: woman in her 20s, (dark skin:1.3), (perfect face), defined jawline, beautiful lips, (beautiful bright yellow eyes), (short white bob haircut:1.2), (perfect anatomy), (athletic body), (perfect hands), (medieval heavy-plated steel chest armor), (medieval heavy-plated steel leg armor), (steel gauntlets), (steel skirt armor), (looking at viewer), (medium shot photograph), (imperial castle grounds background), photorealistic, shiny skin, glossy skin, <lora:more_details:0.8>, <lora:contrast_slider_v10:-2.2>, <lora:add_saturation:-0.17>
Full negative prompt: nipples, nsfw, ng_deepnegative_v1_75t, bad-picture-chill-75v, bad-hands-5, ugly, low resolution, blurry, (bad proportions), (grotesque), (distorted), (disfigured), (mutated), (malformed), (deformed), (bad anatomy), child, kid, poorly drawn face, wrinkles, chubby, heterochromia, (extra limbs), (missing limbs), (detached limbs), (out of frame, off-centered), (close-up shot photograph),(multiple people in frame:1.2), against the light, (watermark, text, signature:1.2), (makeup, lipstick:1.2), jewelry, (bra:1.3)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 31.1ms 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, 7.3ms
Speed: 2.9ms 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 1 face, 9.3ms
Speed: 3.0ms preprocess, 9.3ms 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: 2.6ms 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 face, 7.6ms
Speed: 3.5ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 (no detections), 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 9.0ms
Speed: 2.6ms preprocess, 9.0ms inference, 1.3ms 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, 8.4ms
Speed: 2.7ms preprocess, 8.4ms inference, 2.2ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 57.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: woman in her 20s, (dark skin:1.3), (perfect face), defined jawline, beautiful lips, (beautiful bright yellow eyes), (short white bob haircut:1.2), (perfect anatomy), (athletic body), (perfect hands), (medieval heavy-plated steel chest armor), (medieval heavy-plated steel leg armor), (steel gauntlets), (steel skirt armor), (looking at viewer), (medium shot photograph), (imperial castle grounds background), photorealistic, shiny skin, glossy skin, <lora:more_details:0.8>, <lora:contrast_slider_v10:-2.2>, <lora:add_saturation:-0.17>
Full negative prompt: nipples, nsfw, ng_deepnegative_v1_75t, bad-picture-chill-75v, bad-hands-5, ugly, low resolution, blurry, (bad proportions), (grotesque), (distorted), (disfigured), (mutated), (malformed), (deformed), (bad anatomy), child, kid, poorly drawn face, wrinkles, chubby, heterochromia, (extra limbs), (missing limbs), (detached limbs), (out of frame, off-centered), (close-up shot photograph),(multiple people in frame:1.2), against the light, (watermark, text, signature:1.2), (makeup, lipstick:1.2), jewelry, (bra:1.3)
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 31.1ms 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 hand, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 9.3ms
Speed: 3.0ms preprocess, 9.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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64%|██████▍ | 9/14 [00:01<00:00, 6.46it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.53it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.52it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.45it/s]
100%|██████████| 14/14 [00:02<00:00, 6.51it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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29%|██▊ | 4/14 [00:00<00:01, 6.48it/s]
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57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.51it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.54it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.52it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.45it/s]
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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, 7.6ms
Speed: 3.5ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:01, 6.86it/s]
14%|█▍ | 2/14 [00:00<00:01, 6.71it/s]
21%|██▏ | 3/14 [00:00<00:01, 6.67it/s]
29%|██▊ | 4/14 [00:00<00:01, 6.65it/s]
36%|███▌ | 5/14 [00:00<00:01, 6.62it/s]
43%|████▎ | 6/14 [00:00<00:01, 6.56it/s]
50%|█████ | 7/14 [00:01<00:01, 6.49it/s]
57%|█████▋ | 8/14 [00:01<00:00, 6.44it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.53it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.37it/s]
100%|██████████| 14/14 [00:02<00:00, 6.50it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 9.0ms
Speed: 2.6ms preprocess, 9.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:01, 6.88it/s]
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21%|██▏ | 3/14 [00:00<00:01, 6.67it/s]
29%|██▊ | 4/14 [00:00<00:01, 6.64it/s]
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43%|████▎ | 6/14 [00:00<00:01, 6.51it/s]
50%|█████ | 7/14 [00:01<00:01, 6.43it/s]
57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.48it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.36it/s]
100%|██████████| 14/14 [00:02<00:00, 6.49it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 8.4ms
Speed: 2.7ms preprocess, 8.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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43%|████▎ | 6/14 [00:00<00:01, 6.51it/s]
50%|█████ | 7/14 [00:01<00:01, 6.42it/s]
57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.45it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.48it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.51it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.50it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.38it/s]
100%|██████████| 14/14 [00:02<00:00, 6.49it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:01, 6.52it/s]
14%|█▍ | 2/14 [00:00<00:01, 6.55it/s]
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57%|█████▋ | 8/14 [00:01<00:00, 6.39it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.45it/s]
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79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.37it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.39it/s]
100%|██████████| 14/14 [00:02<00:00, 6.43it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.