Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 56.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: best quality, sitting, light smile, huge breasts, brown hair, parted hair, long hair, black dress, halter dress, plunging neckline, cleavage, earrings, bracelet, 1girl, green eyes, having a cocktail, back background
Full negative prompt: (more than 2 legs), (more than 2 feet), (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 3.4ms preprocess, 7.6ms inference, 30.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.8ms
Speed: 3.0ms preprocess, 7.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.3ms
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0: 640x640 2 hands, 7.1ms
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0: 640x640 1 face, 7.4ms
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0: 640x640 2 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 11.7ms
Speed: 3.5ms preprocess, 11.7ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 56.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: best quality, sitting, light smile, huge breasts, brown hair, parted hair, long hair, black dress, halter dress, plunging neckline, cleavage, earrings, bracelet, 1girl, green eyes, having a cocktail, back background
Full negative prompt: (more than 2 legs), (more than 2 feet), (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 3.4ms preprocess, 7.6ms inference, 30.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.8ms
Speed: 3.0ms preprocess, 7.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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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, 7.1ms
Speed: 2.9ms preprocess, 7.1ms 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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Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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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: 2.6ms preprocess, 6.9ms 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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Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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80%|████████ | 8/10 [00:01<00:00, 3.97it/s]
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100%|██████████| 10/10 [00:02<00:00, 3.60it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 11.7ms
Speed: 3.5ms preprocess, 11.7ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 10/10 [00:02<00:00, 4.43it/s]
100%|██████████| 10/10 [00:02<00:00, 3.98it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
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10%|█ | 1/10 [00:00<00:01, 5.12it/s]
20%|██ | 2/10 [00:00<00:01, 5.16it/s]
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80%|████████ | 8/10 [00:01<00:00, 5.09it/s]
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100%|██████████| 10/10 [00:01<00:00, 5.09it/s]
100%|██████████| 10/10 [00:01<00:00, 5.10it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.