Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 57.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (anime 2d art, masterpiece, best quality:1.3), 1 girl, curly short hair, pink hair, shy, blush, sexually preoccupied, squeezed massive tits, 40 years old, in the lake, forest background, sunset sky, bokeh, (2d, flat colors:1.15), black bikini, <lora:Girl_face_3:0.3>
Full negative prompt: (realistic, photo, 3d, cgi:1.1), (bad quality, low quality:1.3), (easynegative, bad-hands-5:0.8), (old:1.2), monochrome
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
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0: 640x640 1 face, 9.5ms
Speed: 2.9ms preprocess, 9.5ms inference, 32.7ms 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: 2.7ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.2ms
Speed: 2.5ms preprocess, 7.2ms 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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0: 640x640 1 hand, 8.2ms
Speed: 3.5ms preprocess, 8.2ms inference, 1.7ms 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, 7.3ms
Speed: 2.9ms preprocess, 7.3ms 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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0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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0: 640x640 1 face, 13.3ms
Speed: 2.9ms preprocess, 13.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
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done in 0.0s
0: 640x640 2 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 57.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (anime 2d art, masterpiece, best quality:1.3), 1 girl, curly short hair, pink hair, shy, blush, sexually preoccupied, squeezed massive tits, 40 years old, in the lake, forest background, sunset sky, bokeh, (2d, flat colors:1.15), black bikini, <lora:Girl_face_3:0.3>
Full negative prompt: (realistic, photo, 3d, cgi:1.1), (bad quality, low quality:1.3), (easynegative, bad-hands-5:0.8), (old:1.2), monochrome
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 9.5ms
Speed: 2.9ms preprocess, 9.5ms inference, 32.7ms 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
0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.44s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 12/12 [00:01<00:00, 6.64it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 8.2ms
Speed: 3.5ms preprocess, 8.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 12/12 [00:01<00:00, 6.56it/s]
100%|██████████| 12/12 [00:01<00:00, 6.50it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 12/12 [00:01<00:00, 6.62it/s]
100%|██████████| 12/12 [00:01<00:00, 6.63it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 13.3ms
Speed: 2.9ms preprocess, 13.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 12/12 [00:01<00:00, 6.50it/s]
100%|██████████| 12/12 [00:01<00:00, 6.49it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 12/12 [00:01<00:00, 6.50it/s]
100%|██████████| 12/12 [00:01<00:00, 6.59it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
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100%|██████████| 12/12 [00:01<00:00, 6.57it/s]
100%|██████████| 12/12 [00:01<00:00, 6.60it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.