Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 46.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality), HDR, high-definition, Intricate Details, vray render, octane render, 1girl, office lady, white shirt, black mini skirt, pantyhose, glasses, naughty face volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>,
Full negative prompt: nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2
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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 1.59s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.0ms
Speed: 3.5ms preprocess, 8.0ms inference, 47.9ms 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, 7.4ms
Speed: 2.8ms 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 0.42s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms 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, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
Finished.
This example was created by evevalentine2017
Finished in 46.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality), HDR, high-definition, Intricate Details, vray render, octane render, 1girl, office lady, white shirt, black mini skirt, pantyhose, glasses, naughty face volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>,
Full negative prompt: nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2
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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 1.59s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.0ms
Speed: 3.5ms preprocess, 8.0ms inference, 47.9ms 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, 7.4ms
Speed: 2.8ms 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 0.42s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms 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, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.42s
Move latents to cpu...
done in 0.0s
Finished.