Version: b2d0816
Input
Output
This example was created by evevalentine2017
Finished in 185.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (ultra realistic,32k, masterpiece:1.2), (high detailed skin:1.1), 8k uhd, dslr, high quality, (makeup, mascara:1.1), (thick\lips\), 1girl, white hair, long hair, (aqua eyes:0.9), high heels,solo, flower, jewelry, floating hair, ring, hair ornament, bare shoulders, White hell, huge breast, focus on legs, (golden hour:1.1), beach background, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
Full negative prompt: EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 8.4ms
Speed: 10.8ms preprocess, 8.4ms inference, 25.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 2.4ms 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...
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0: 640x640 1 face, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 2.2ms 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...
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0: 640x640 1 hand, 7.7ms
Speed: 3.3ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 11.4ms
Speed: 3.2ms preprocess, 11.4ms inference, 2.5ms 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 2 hands, 7.5ms
Speed: 3.3ms preprocess, 7.5ms 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 0.45s
Move latents to cpu...
done in 0.21s
0: 640x640 1 face, 8.3ms
Speed: 3.6ms preprocess, 8.3ms inference, 2.3ms 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 2 hands, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 2.0ms 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
Finished.
This example was created by evevalentine2017
Finished in 185.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (ultra realistic,32k, masterpiece:1.2), (high detailed skin:1.1), 8k uhd, dslr, high quality, (makeup, mascara:1.1), (thick\lips\), 1girl, white hair, long hair, (aqua eyes:0.9), high heels,solo, flower, jewelry, floating hair, ring, hair ornament, bare shoulders, White hell, huge breast, focus on legs, (golden hour:1.1), beach background, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
Full negative prompt: EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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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, 8.4ms
Speed: 10.8ms preprocess, 8.4ms inference, 25.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 2.4ms 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...
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0: 640x640 1 face, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Move latents to cpu...
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0: 640x640 1 hand, 7.7ms
Speed: 3.3ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Move latents to cpu...
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0: 640x640 1 face, 11.4ms
Speed: 3.2ms preprocess, 11.4ms inference, 2.5ms 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, 7.5ms
Speed: 3.3ms preprocess, 7.5ms 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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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 0.21s
0: 640x640 1 face, 8.3ms
Speed: 3.6ms preprocess, 8.3ms inference, 2.3ms 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
0: 640x640 2 hands, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 23/23 [00:08<00:00, 3.94it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Finished.