Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 182.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: high quality, highly detailed, detailed background, female, girl, black hair, ten thousand year old vampire, magician, corset, sleeves, pointy ears, insane, (crazy:1.2), (dilated:1.1), excited, smile, fangs, ditsy, bent forward, looking down at viewer, caves, stone walls, ruins, (from below:1.1), night sky, stars, moon, depth of field, blurred background
Full negative prompt: ((big head)), EasyNegativeV2, By bad artist -neg, sketch, bad_pictures, (worst quality, low quality:1.4), bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, monochrome, symbol, text, logo, door frame, window frame, mirror frame,
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.5ms
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0: 640x640 2 hands, 7.5ms
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0: 640x640 1 face, 7.3ms
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0: 640x640 1 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.6ms
Speed: 2.7ms preprocess, 7.6ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 182.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: high quality, highly detailed, detailed background, female, girl, black hair, ten thousand year old vampire, magician, corset, sleeves, pointy ears, insane, (crazy:1.2), (dilated:1.1), excited, smile, fangs, ditsy, bent forward, looking down at viewer, caves, stone walls, ruins, (from below:1.1), night sky, stars, moon, depth of field, blurred background
Full negative prompt: ((big head)), EasyNegativeV2, By bad artist -neg, sketch, bad_pictures, (worst quality, low quality:1.4), bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, monochrome, symbol, text, logo, door frame, window frame, mirror frame,
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 30.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.5ms
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100%|██████████| 23/23 [00:07<00:00, 3.63it/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, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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48%|████▊ | 11/23 [00:03<00:03, 3.08it/s]
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61%|██████ | 14/23 [00:04<00:02, 3.08it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.63it/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, 7.1ms
Speed: 2.7ms preprocess, 7.1ms 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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30%|███ | 7/23 [00:02<00:05, 3.11it/s]
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39%|███▉ | 9/23 [00:02<00:04, 3.08it/s]
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48%|████▊ | 11/23 [00:03<00:03, 3.09it/s]
52%|█████▏ | 12/23 [00:03<00:03, 3.09it/s]
57%|█████▋ | 13/23 [00:04<00:03, 3.10it/s]
61%|██████ | 14/23 [00:04<00:02, 3.11it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.64it/s]
100%|██████████| 23/23 [00:07<00:00, 3.17it/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: 2.6ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 9/23 [00:02<00:04, 3.11it/s]
43%|████▎ | 10/23 [00:03<00:04, 3.08it/s]
48%|████▊ | 11/23 [00:03<00:03, 3.09it/s]
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61%|██████ | 14/23 [00:04<00:02, 3.10it/s]
65%|██████▌ | 15/23 [00:04<00:02, 3.11it/s]
70%|██████▉ | 16/23 [00:05<00:02, 3.10it/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, 7.6ms
Speed: 2.7ms preprocess, 7.6ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 14/23 [00:04<00:02, 3.12it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.68it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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48%|████▊ | 11/23 [00:03<00:03, 3.11it/s]
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61%|██████ | 14/23 [00:04<00:02, 3.12it/s]
65%|██████▌ | 15/23 [00:04<00:02, 3.11it/s]
70%|██████▉ | 16/23 [00:05<00:02, 3.11it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.67it/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, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 9/23 [00:02<00:04, 3.11it/s]
43%|████▎ | 10/23 [00:03<00:04, 3.08it/s]
48%|████▊ | 11/23 [00:03<00:03, 3.10it/s]
52%|█████▏ | 12/23 [00:03<00:03, 3.11it/s]
57%|█████▋ | 13/23 [00:04<00:03, 3.09it/s]
61%|██████ | 14/23 [00:04<00:02, 3.10it/s]
65%|██████▌ | 15/23 [00:04<00:02, 3.10it/s]
70%|██████▉ | 16/23 [00:05<00:02, 3.09it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.62it/s]
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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, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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48%|████▊ | 11/23 [00:03<00:03, 3.15it/s]
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57%|█████▋ | 13/23 [00:04<00:03, 3.14it/s]
61%|██████ | 14/23 [00:04<00:02, 3.14it/s]
65%|██████▌ | 15/23 [00:04<00:02, 3.14it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.71it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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61%|██████ | 14/23 [00:04<00:02, 3.14it/s]
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100%|██████████| 23/23 [00:07<00:00, 3.69it/s]
100%|██████████| 23/23 [00:07<00:00, 3.21it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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100%|██████████| 23/23 [00:07<00:00, 3.67it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.