Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 65.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: professional photograph of a stunning man detailed, the most handsome in the world, a Laborwave male vampire with long Ivory hair AND entropy, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx, (film grain, bokeh, interaction), (masterpiece), (extremely intricate:1.3), (full body shot), (ultra realistic:1.5), <lora:FaceBeauty_qinglong_V3:1>, (masterpiece:1.5), (best quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2>
Full negative prompt: blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen
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Decoding latents in cuda:0...
done in 1.01s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.6ms
Speed: 3.6ms preprocess, 8.6ms inference, 32.0ms 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 0.45s
Move latents to cpu...
done in 0.22s
0: 640x640 1 face, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.9ms 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, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms 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, 7.8ms
Speed: 2.8ms preprocess, 7.8ms inference, 1.5ms 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
Finished.
This example was created by evevalentine2017
Finished in 65.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: professional photograph of a stunning man detailed, the most handsome in the world, a Laborwave male vampire with long Ivory hair AND entropy, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx, (film grain, bokeh, interaction), (masterpiece), (extremely intricate:1.3), (full body shot), (ultra realistic:1.5), <lora:FaceBeauty_qinglong_V3:1>, (masterpiece:1.5), (best quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2>
Full negative prompt: blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen
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Decoding latents in cuda:0...
done in 1.01s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.6ms
Speed: 3.6ms preprocess, 8.6ms inference, 32.0ms 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 0.45s
Move latents to cpu...
done in 0.22s
0: 640x640 1 face, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.9ms 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, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms 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, 7.8ms
Speed: 2.8ms preprocess, 7.8ms inference, 1.5ms 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
Finished.