Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 161.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece drawning, high quality, horror:1.3), (solo:1.1), a digital arf of a undead girl, (pink, heart, love:1.1), wounds, (deathcore:1.2), mistery pink forest, Extreme detail, morbid, paper texture, 2d
Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 25.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 hands, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.5ms
Speed: 2.6ms preprocess, 7.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 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, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.3ms 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 0.43s
Move latents to cpu...
done in 0.21s
0: 640x640 1 face, 8.1ms
Speed: 2.7ms preprocess, 8.1ms 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...
done in 0.0s
0: 640x640 1 hand, 7.3ms
Speed: 3.1ms 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 0.39s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 161.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece drawning, high quality, horror:1.3), (solo:1.1), a digital arf of a undead girl, (pink, heart, love:1.1), wounds, (deathcore:1.2), mistery pink forest, Extreme detail, morbid, paper texture, 2d
Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 25.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 4 hands, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.5ms
Speed: 2.6ms preprocess, 7.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 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, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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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, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
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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 0.43s
Move latents to cpu...
done in 0.21s
0: 640x640 1 face, 8.1ms
Speed: 2.7ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.3ms
Speed: 3.1ms 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 0.39s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.