Version: v1.5
Input
Output
This example was created by evevalentine2017
Finished in 149.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (monochrome:1.2), Comic art, medium shot of a sexy woman posing in front of space battle, flat colors, black line art, low camera angle, innerboob, dynamic pose, hand on hip, serious, looking confident, looking serious, looking off into distance, pointy ears, ponytail, huge breasts, black sclera, black eyes, white hair, volumetric lighting, glossy skin, shiny skin, <lora:add_detail:0.3>, <lora:contrast_slider_v10:0.1>, <lora:add_saturation:0.5>
Full negative prompt: EasyNegativeV2, By bad artist -neg, sketch by bad-artist-anime, (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, symbol, text, logo, door frame, window frame, mirror frame, bad-hands-5
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Decoding latents in cuda:0...
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0: 640x640 1 face, 8.4ms
Speed: 3.6ms preprocess, 8.4ms inference, 26.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 2.0ms 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, 7.5ms
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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, 1.4ms 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, 7.2ms
Speed: 2.9ms 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, 7.4ms
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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, 1.4ms 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 149.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (monochrome:1.2), Comic art, medium shot of a sexy woman posing in front of space battle, flat colors, black line art, low camera angle, innerboob, dynamic pose, hand on hip, serious, looking confident, looking serious, looking off into distance, pointy ears, ponytail, huge breasts, black sclera, black eyes, white hair, volumetric lighting, glossy skin, shiny skin, <lora:add_detail:0.3>, <lora:contrast_slider_v10:0.1>, <lora:add_saturation:0.5>
Full negative prompt: EasyNegativeV2, By bad artist -neg, sketch by bad-artist-anime, (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, symbol, text, logo, door frame, window frame, mirror frame, bad-hands-5
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Decoding latents in cuda:0...
done in 1.02s
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0: 640x640 1 face, 8.4ms
Speed: 3.6ms preprocess, 8.4ms inference, 26.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 2.0ms 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, 7.5ms
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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, 1.4ms 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, 7.2ms
Speed: 2.9ms preprocess, 7.2ms 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
0: 640x640 1 hand, 7.4ms
Speed: 2.9ms preprocess, 7.4ms 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...
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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56%|ββββββ | 10/18 [00:04<00:03, 2.62it/s]
61%|ββββββ | 11/18 [00:04<00:02, 2.68it/s]
67%|βββββββ | 12/18 [00:04<00:02, 2.63it/s]
72%|ββββββββ | 13/18 [00:05<00:01, 2.65it/s]
78%|ββββββββ | 14/18 [00:05<00:01, 2.63it/s]
83%|βββββββββ | 15/18 [00:05<00:01, 2.72it/s]
89%|βββββββββ | 16/18 [00:06<00:00, 2.76it/s]
94%|ββββββββββ| 17/18 [00:06<00:00, 3.18it/s]
100%|ββββββββββ| 18/18 [00:06<00:00, 3.79it/s]
100%|ββββββββββ| 18/18 [00:06<00:00, 2.74it/s]
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, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/18 [00:00<?, ?it/s]
6%|β | 1/18 [00:00<00:07, 2.40it/s]
11%|β | 2/18 [00:00<00:07, 2.29it/s]
17%|ββ | 3/18 [00:01<00:06, 2.34it/s]
22%|βββ | 4/18 [00:01<00:05, 2.37it/s]
28%|βββ | 5/18 [00:02<00:05, 2.49it/s]
33%|ββββ | 6/18 [00:02<00:04, 2.44it/s]
39%|ββββ | 7/18 [00:02<00:04, 2.52it/s]
44%|βββββ | 8/18 [00:03<00:03, 2.67it/s]
50%|βββββ | 9/18 [00:03<00:03, 2.58it/s]
56%|ββββββ | 10/18 [00:03<00:02, 2.69it/s]
61%|ββββββ | 11/18 [00:04<00:02, 2.76it/s]
67%|βββββββ | 12/18 [00:04<00:02, 2.70it/s]
72%|ββββββββ | 13/18 [00:05<00:01, 2.74it/s]
78%|ββββββββ | 14/18 [00:05<00:01, 2.71it/s]
83%|βββββββββ | 15/18 [00:05<00:01, 2.80it/s]
89%|βββββββββ | 16/18 [00:06<00:00, 2.86it/s]
94%|ββββββββββ| 17/18 [00:06<00:00, 3.29it/s]
100%|ββββββββββ| 18/18 [00:06<00:00, 3.89it/s]
100%|ββββββββββ| 18/18 [00:06<00:00, 2.81it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/18 [00:00<?, ?it/s]
6%|β | 1/18 [00:00<00:07, 2.34it/s]
11%|β | 2/18 [00:00<00:06, 2.34it/s]
17%|ββ | 3/18 [00:01<00:06, 2.36it/s]
22%|βββ | 4/18 [00:01<00:05, 2.39it/s]
28%|βββ | 5/18 [00:02<00:05, 2.49it/s]
33%|ββββ | 6/18 [00:02<00:04, 2.42it/s]
39%|ββββ | 7/18 [00:02<00:04, 2.49it/s]
44%|βββββ | 8/18 [00:03<00:03, 2.64it/s]
50%|βββββ | 9/18 [00:03<00:03, 2.55it/s]
56%|ββββββ | 10/18 [00:03<00:03, 2.62it/s]
61%|ββββββ | 11/18 [00:04<00:02, 2.70it/s]
67%|βββββββ | 12/18 [00:04<00:02, 2.66it/s]
72%|ββββββββ | 13/18 [00:05<00:01, 2.69it/s]
78%|ββββββββ | 14/18 [00:05<00:01, 2.67it/s]
83%|βββββββββ | 15/18 [00:05<00:01, 2.76it/s]
89%|βββββββββ | 16/18 [00:06<00:00, 2.80it/s]
94%|ββββββββββ| 17/18 [00:06<00:00, 3.23it/s]
100%|ββββββββββ| 18/18 [00:06<00:00, 3.81it/s]
100%|ββββββββββ| 18/18 [00:06<00:00, 2.77it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.