Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 133.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: black hair, curly hair, long hair, thick eyebrows, looking at viewer, plump, hazel eyes, smile, parted bangs, 2girl, skindentation, dress, german clothes, beer, mug, beer mug, beer mugs, drinking beer, thighhighs, full body, barrel, dirndl, Oktoberfest, crowded, wood benches, wood tables, outdoors, holding beer mugs, standing, waitress
Full negative prompt: more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000
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0: 640x640 4 faces, 8.7ms
Speed: 3.1ms preprocess, 8.7ms inference, 31.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.0ms
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0: 640x640 5 faces, 8.0ms
Speed: 2.9ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 6.9ms
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0: 640x640 2 faces, 7.4ms
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0: 640x640 2 hands, 6.9ms
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 133.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: black hair, curly hair, long hair, thick eyebrows, looking at viewer, plump, hazel eyes, smile, parted bangs, 2girl, skindentation, dress, german clothes, beer, mug, beer mug, beer mugs, drinking beer, thighhighs, full body, barrel, dirndl, Oktoberfest, crowded, wood benches, wood tables, outdoors, holding beer mugs, standing, waitress
Full negative prompt: more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000
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21%|██ | 8/39 [00:05<00:19, 1.56it/s]
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67%|██████▋ | 26/39 [00:16<00:08, 1.53it/s]
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 4 faces, 8.7ms
Speed: 3.1ms preprocess, 8.7ms inference, 31.0ms 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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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 18/18 [00:03<00:00, 5.07it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Move latents to cpu...
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61%|██████ | 11/18 [00:02<00:01, 5.05it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.09it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.12it/s]
100%|██████████| 18/18 [00:03<00:00, 5.06it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 5 faces, 8.0ms
Speed: 2.9ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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67%|██████▋ | 12/18 [00:02<00:01, 4.96it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.05it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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100%|██████████| 18/18 [00:03<00:00, 5.09it/s]
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
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100%|██████████| 18/18 [00:03<00:00, 5.01it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Move latents to cpu...
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61%|██████ | 11/18 [00:02<00:01, 4.85it/s]
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 11/18 [00:02<00:01, 5.09it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.11it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.0ms
Speed: 2.6ms preprocess, 7.0ms 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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Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms 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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Move latents to cpu...
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100%|██████████| 18/18 [00:03<00:00, 4.93it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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61%|██████ | 11/18 [00:02<00:01, 4.99it/s]
67%|██████▋ | 12/18 [00:02<00:01, 4.96it/s]
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83%|████████▎ | 15/18 [00:03<00:00, 4.99it/s]
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100%|██████████| 18/18 [00:03<00:00, 4.87it/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 faces, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 11/18 [00:02<00:01, 5.03it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.02it/s]
72%|███████▏ | 13/18 [00:02<00:01, 4.99it/s]
78%|███████▊ | 14/18 [00:02<00:00, 4.94it/s]
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100%|██████████| 18/18 [00:03<00:00, 4.98it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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56%|█████▌ | 10/18 [00:02<00:01, 4.63it/s]
61%|██████ | 11/18 [00:02<00:01, 4.74it/s]
67%|██████▋ | 12/18 [00:02<00:01, 4.87it/s]
72%|███████▏ | 13/18 [00:02<00:01, 4.94it/s]
78%|███████▊ | 14/18 [00:02<00:00, 4.72it/s]
83%|████████▎ | 15/18 [00:03<00:00, 4.77it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.01it/s]
100%|██████████| 18/18 [00:03<00:00, 4.93it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 11/18 [00:02<00:01, 5.08it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.07it/s]
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100%|██████████| 18/18 [00:03<00:00, 4.49it/s]
100%|██████████| 18/18 [00:03<00:00, 4.91it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
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61%|██████ | 11/18 [00:02<00:01, 4.98it/s]
67%|██████▋ | 12/18 [00:02<00:01, 4.95it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.11it/s]
100%|██████████| 18/18 [00:03<00:00, 5.06it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.