Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 46.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: 1girl, huge tits, beach, skimpy bikini, sunlight, full body, long leg, bbw, Skin texture, <lora:FaceBeauty_qinglong_V3:1.5>
Full negative prompt: (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, 8.1ms
Speed: 2.9ms preprocess, 8.1ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.4ms
Speed: 3.1ms preprocess, 7.4ms 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 1 face, 8.9ms
Speed: 2.8ms preprocess, 8.9ms inference, 1.8ms 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, 8.2ms
Speed: 2.9ms preprocess, 8.2ms 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 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.6ms 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, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 9.0ms
Speed: 2.7ms preprocess, 9.0ms inference, 1.8ms 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, 7.1ms
Speed: 2.7ms 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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done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 46.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: 1girl, huge tits, beach, skimpy bikini, sunlight, full body, long leg, bbw, Skin texture, <lora:FaceBeauty_qinglong_V3:1.5>
Full negative prompt: (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...
done in 0.98s
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done in 0.02s
0: 640x640 1 face, 8.1ms
Speed: 2.9ms preprocess, 8.1ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.4ms
Speed: 3.1ms preprocess, 7.4ms 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 1 face, 8.9ms
Speed: 2.8ms preprocess, 8.9ms inference, 1.8ms 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, 8.2ms
Speed: 2.9ms preprocess, 8.2ms 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 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 10/10 [00:01<00:00, 6.30it/s]
100%|██████████| 10/10 [00:01<00:00, 6.34it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/10 [00:00<?, ?it/s]
10%|█ | 1/10 [00:00<00:01, 6.79it/s]
20%|██ | 2/10 [00:00<00:01, 6.40it/s]
30%|███ | 3/10 [00:00<00:01, 6.47it/s]
40%|████ | 4/10 [00:00<00:00, 6.45it/s]
50%|█████ | 5/10 [00:00<00:00, 6.45it/s]
60%|██████ | 6/10 [00:00<00:00, 6.34it/s]
70%|███████ | 7/10 [00:01<00:00, 6.25it/s]
80%|████████ | 8/10 [00:01<00:00, 6.27it/s]
90%|█████████ | 9/10 [00:01<00:00, 6.32it/s]
100%|██████████| 10/10 [00:01<00:00, 6.34it/s]
100%|██████████| 10/10 [00:01<00:00, 6.36it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/10 [00:00<?, ?it/s]
10%|█ | 1/10 [00:00<00:01, 6.68it/s]
20%|██ | 2/10 [00:00<00:01, 6.51it/s]
30%|███ | 3/10 [00:00<00:01, 6.49it/s]
40%|████ | 4/10 [00:00<00:00, 6.45it/s]
50%|█████ | 5/10 [00:00<00:00, 6.37it/s]
60%|██████ | 6/10 [00:00<00:00, 6.27it/s]
70%|███████ | 7/10 [00:01<00:00, 6.28it/s]
80%|████████ | 8/10 [00:01<00:00, 6.31it/s]
90%|█████████ | 9/10 [00:01<00:00, 6.12it/s]
100%|██████████| 10/10 [00:01<00:00, 6.21it/s]
100%|██████████| 10/10 [00:01<00:00, 6.30it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 9.0ms
Speed: 2.7ms preprocess, 9.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/10 [00:00<?, ?it/s]
10%|█ | 1/10 [00:00<00:01, 6.92it/s]
20%|██ | 2/10 [00:00<00:01, 6.63it/s]
30%|███ | 3/10 [00:00<00:01, 6.54it/s]
40%|████ | 4/10 [00:00<00:00, 6.49it/s]
50%|█████ | 5/10 [00:00<00:00, 6.48it/s]
60%|██████ | 6/10 [00:00<00:00, 6.37it/s]
70%|███████ | 7/10 [00:01<00:00, 6.31it/s]
80%|████████ | 8/10 [00:01<00:00, 6.33it/s]
90%|█████████ | 9/10 [00:01<00:00, 6.36it/s]
100%|██████████| 10/10 [00:01<00:00, 6.36it/s]
100%|██████████| 10/10 [00:01<00:00, 6.41it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/10 [00:00<?, ?it/s]
10%|█ | 1/10 [00:00<00:01, 6.89it/s]
20%|██ | 2/10 [00:00<00:01, 6.61it/s]
30%|███ | 3/10 [00:00<00:01, 6.54it/s]
40%|████ | 4/10 [00:00<00:00, 6.50it/s]
50%|█████ | 5/10 [00:00<00:00, 6.50it/s]
60%|██████ | 6/10 [00:00<00:00, 6.36it/s]
70%|███████ | 7/10 [00:01<00:00, 6.27it/s]
80%|████████ | 8/10 [00:01<00:00, 6.28it/s]
90%|█████████ | 9/10 [00:01<00:00, 6.32it/s]
100%|██████████| 10/10 [00:01<00:00, 6.35it/s]
100%|██████████| 10/10 [00:01<00:00, 6.40it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.