Version: v2.2
Input
Output
This example was created by evevalentine2017
Finished in 77.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/z-vae.safetensors
Full prompt: (((masterpiece))), (8k, high_resolution), extremely detailed CG, ((best quality)), cinematic lighting, dynamic lighting, shiny skin, 1girl, <lora:Concept_Cow:0.8> animal print, cow print, horns, animal ears, cow ears, cow horns, cow tail, bikini, thighhighs, bell, cowbell, navel, neck bell, collar, cow, cute detailed barn, straw, <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: EasyNegativeV2, (bad-hands-5), ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), ugly, analogphoto, grayscale:1.2, monochrome, jpeg artifacts, sepia, bad anatomy, ugly face, long neck, cropped, muscle, necklace, earrings, (Dimple chin, Cleft chin), strabismus, crossed eyes, squint, Weird Image,multiple views, multiple panels, blurry, watermark, letterbox, text, 3hands, 3legs, 3arms, 3feet,
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.8ms
Speed: 3.4ms preprocess, 7.8ms inference, 34.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 1.9ms 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, 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 2.1ms 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...
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0: 640x640 1 face, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 1.7ms 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
Finished.
This example was created by evevalentine2017
Finished in 77.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/z-vae.safetensors
Full prompt: (((masterpiece))), (8k, high_resolution), extremely detailed CG, ((best quality)), cinematic lighting, dynamic lighting, shiny skin, 1girl, <lora:Concept_Cow:0.8> animal print, cow print, horns, animal ears, cow ears, cow horns, cow tail, bikini, thighhighs, bell, cowbell, navel, neck bell, collar, cow, cute detailed barn, straw, <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: EasyNegativeV2, (bad-hands-5), ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), ugly, analogphoto, grayscale:1.2, monochrome, jpeg artifacts, sepia, bad anatomy, ugly face, long neck, cropped, muscle, necklace, earrings, (Dimple chin, Cleft chin), strabismus, crossed eyes, squint, Weird Image,multiple views, multiple panels, blurry, watermark, letterbox, text, 3hands, 3legs, 3arms, 3feet,
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 3.4ms preprocess, 7.8ms inference, 34.2ms postprocess per image at shape (1, 3, 640, 640)
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71%|███████▏ | 20/28 [00:04<00:01, 4.81it/s]
75%|███████▌ | 21/28 [00:04<00:01, 4.85it/s]
79%|███████▊ | 22/28 [00:04<00:01, 4.86it/s]
82%|████████▏ | 23/28 [00:04<00:01, 4.85it/s]
86%|████████▌ | 24/28 [00:05<00:00, 4.84it/s]
89%|████████▉ | 25/28 [00:05<00:00, 4.76it/s]
93%|█████████▎| 26/28 [00:05<00:00, 4.82it/s]
96%|█████████▋| 27/28 [00:05<00:00, 4.86it/s]
100%|██████████| 28/28 [00:05<00:00, 4.75it/s]
100%|██████████| 28/28 [00:05<00:00, 4.70it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:05, 4.90it/s]
7%|▋ | 2/28 [00:00<00:05, 4.91it/s]
11%|█ | 3/28 [00:00<00:05, 4.92it/s]
14%|█▍ | 4/28 [00:00<00:04, 4.94it/s]
18%|█▊ | 5/28 [00:01<00:04, 4.83it/s]
21%|██▏ | 6/28 [00:01<00:04, 4.87it/s]
25%|██▌ | 7/28 [00:01<00:04, 4.91it/s]
29%|██▊ | 8/28 [00:01<00:04, 4.95it/s]
32%|███▏ | 9/28 [00:01<00:03, 4.90it/s]
36%|███▌ | 10/28 [00:02<00:03, 4.83it/s]
39%|███▉ | 11/28 [00:02<00:03, 4.89it/s]
43%|████▎ | 12/28 [00:02<00:03, 4.91it/s]
46%|████▋ | 13/28 [00:02<00:03, 4.94it/s]
50%|█████ | 14/28 [00:02<00:02, 4.93it/s]
54%|█████▎ | 15/28 [00:03<00:02, 4.93it/s]
57%|█████▋ | 16/28 [00:03<00:02, 4.94it/s]
61%|██████ | 17/28 [00:03<00:02, 4.96it/s]
64%|██████▍ | 18/28 [00:03<00:02, 4.98it/s]
68%|██████▊ | 19/28 [00:03<00:01, 4.98it/s]
71%|███████▏ | 20/28 [00:04<00:01, 4.91it/s]
75%|███████▌ | 21/28 [00:04<00:01, 4.94it/s]
79%|███████▊ | 22/28 [00:04<00:01, 4.95it/s]
82%|████████▏ | 23/28 [00:04<00:01, 4.97it/s]
86%|████████▌ | 24/28 [00:04<00:00, 4.97it/s]
89%|████████▉ | 25/28 [00:05<00:00, 4.85it/s]
93%|█████████▎| 26/28 [00:05<00:00, 4.89it/s]
96%|█████████▋| 27/28 [00:05<00:00, 4.91it/s]
100%|██████████| 28/28 [00:05<00:00, 4.94it/s]
100%|██████████| 28/28 [00:05<00:00, 4.92it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.0ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:05, 5.03it/s]
7%|▋ | 2/28 [00:00<00:05, 4.79it/s]
11%|█ | 3/28 [00:00<00:05, 4.88it/s]
14%|█▍ | 4/28 [00:00<00:04, 4.92it/s]
18%|█▊ | 5/28 [00:01<00:04, 4.91it/s]
21%|██▏ | 6/28 [00:01<00:04, 4.92it/s]
25%|██▌ | 7/28 [00:01<00:04, 4.80it/s]
29%|██▊ | 8/28 [00:01<00:04, 4.84it/s]
32%|███▏ | 9/28 [00:01<00:03, 4.89it/s]
36%|███▌ | 10/28 [00:02<00:03, 4.92it/s]
39%|███▉ | 11/28 [00:02<00:03, 4.94it/s]
43%|████▎ | 12/28 [00:02<00:03, 4.88it/s]
46%|████▋ | 13/28 [00:02<00:03, 4.93it/s]
50%|█████ | 14/28 [00:02<00:02, 4.98it/s]
54%|█████▎ | 15/28 [00:03<00:02, 5.00it/s]
57%|█████▋ | 16/28 [00:03<00:02, 4.97it/s]
61%|██████ | 17/28 [00:03<00:02, 4.98it/s]
64%|██████▍ | 18/28 [00:03<00:02, 4.99it/s]
68%|██████▊ | 19/28 [00:03<00:01, 5.01it/s]
71%|███████▏ | 20/28 [00:04<00:01, 5.02it/s]
75%|███████▌ | 21/28 [00:04<00:01, 5.02it/s]
79%|███████▊ | 22/28 [00:04<00:01, 4.92it/s]
82%|████████▏ | 23/28 [00:04<00:01, 4.96it/s]
86%|████████▌ | 24/28 [00:04<00:00, 4.94it/s]
89%|████████▉ | 25/28 [00:05<00:00, 4.95it/s]
93%|█████████▎| 26/28 [00:05<00:00, 4.95it/s]
96%|█████████▋| 27/28 [00:05<00:00, 4.84it/s]
100%|██████████| 28/28 [00:05<00:00, 4.89it/s]
100%|██████████| 28/28 [00:05<00:00, 4.93it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:05, 5.00it/s]
7%|▋ | 2/28 [00:00<00:05, 4.90it/s]
11%|█ | 3/28 [00:00<00:05, 4.77it/s]
14%|█▍ | 4/28 [00:00<00:05, 4.73it/s]
18%|█▊ | 5/28 [00:01<00:04, 4.80it/s]
21%|██▏ | 6/28 [00:01<00:04, 4.86it/s]
25%|██▌ | 7/28 [00:01<00:04, 4.89it/s]
29%|██▊ | 8/28 [00:01<00:04, 4.89it/s]
32%|███▏ | 9/28 [00:01<00:03, 4.90it/s]
36%|███▌ | 10/28 [00:02<00:03, 4.91it/s]
39%|███▉ | 11/28 [00:02<00:03, 4.93it/s]
43%|████▎ | 12/28 [00:02<00:03, 4.93it/s]
46%|████▋ | 13/28 [00:02<00:03, 4.90it/s]
50%|█████ | 14/28 [00:02<00:02, 4.81it/s]
54%|█████▎ | 15/28 [00:03<00:02, 4.84it/s]
57%|█████▋ | 16/28 [00:03<00:02, 4.85it/s]
61%|██████ | 17/28 [00:03<00:02, 4.85it/s]
64%|██████▍ | 18/28 [00:03<00:02, 4.89it/s]
68%|██████▊ | 19/28 [00:03<00:01, 4.90it/s]
71%|███████▏ | 20/28 [00:04<00:01, 4.93it/s]
75%|███████▌ | 21/28 [00:04<00:01, 4.96it/s]
79%|███████▊ | 22/28 [00:04<00:01, 4.97it/s]
82%|████████▏ | 23/28 [00:04<00:01, 4.95it/s]
86%|████████▌ | 24/28 [00:04<00:00, 4.80it/s]
89%|████████▉ | 25/28 [00:05<00:00, 4.86it/s]
93%|█████████▎| 26/28 [00:05<00:00, 4.88it/s]
96%|█████████▋| 27/28 [00:05<00:00, 4.91it/s]
100%|██████████| 28/28 [00:05<00:00, 4.93it/s]
100%|██████████| 28/28 [00:05<00:00, 4.89it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Finished.