Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 222.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: leogirl, seductive leaning forward detailed skin, ultra realistic 8k cg, picture perfect face, flawless, clean, masterpiece, professional artwork, famous artwork, cinematic lighting, cinematic bloom,black hair, 1girl, standing, beautiful korean girl, perfect face, fit figure, beautiful face, beautiful blue eyes,detail eyes, detail face, perfect female body, narrow waist, (large breasts:1.3), looking at viewer, standing, wearing beautiful (black:1) medieval armor and knight's helmet, hodling beautiful sword, black gloves, fit figure, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, <lora:MedievalArmor_v2:0.6>, <lora:add_brightness:0.2>, <lora:add_saturation:0.5>
Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 24.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 8.0ms
Speed: 2.8ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 9 faces, 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...
===========================================
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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done in 0.0s
0: 640x640 1 hand, 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.9ms
Speed: 3.0ms preprocess, 7.9ms inference, 1.8ms 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 (no detections), 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.7ms preprocess, 7.1ms 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
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 222.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: leogirl, seductive leaning forward detailed skin, ultra realistic 8k cg, picture perfect face, flawless, clean, masterpiece, professional artwork, famous artwork, cinematic lighting, cinematic bloom,black hair, 1girl, standing, beautiful korean girl, perfect face, fit figure, beautiful face, beautiful blue eyes,detail eyes, detail face, perfect female body, narrow waist, (large breasts:1.3), looking at viewer, standing, wearing beautiful (black:1) medieval armor and knight's helmet, hodling beautiful sword, black gloves, fit figure, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, <lora:MedievalArmor_v2:0.6>, <lora:add_brightness:0.2>, <lora:add_saturation:0.5>
Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 24.5ms 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 1 hand, 8.0ms
Speed: 2.8ms preprocess, 8.0ms inference, 1.4ms 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 9 faces, 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...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.44s
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.9ms
Speed: 3.0ms preprocess, 7.9ms inference, 1.8ms 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 (no detections), 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.7ms preprocess, 7.1ms 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
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.