Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 45.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, high quality), solo, model photoshoot, (red theme:1.1), a stylish girl, red hair, silver eyes, red lipstick, red eye shadow, blush, (freckles:0.7), (european, 22 years old:1.3), sexy, pure innocence, (light smile:0.8), in love, simple red dress, cleavage, detailed natural skin texture, seductive gaze, detailed lighting, (red:1.1) wall background, shallow depth of field, romantic setting, dreamy pastel palette, whimsical details, captured on film, (intricate details:0.5), <lora:Girl_face_3:0.3>
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...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.87s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 29.0ms 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 0.01s
0: 640x640 (no detections), 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms 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 (no detections), 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.6ms preprocess, 7.7ms 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
0: 640x640 (no detections), 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.2ms
Speed: 2.8ms 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 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.8ms
Speed: 2.7ms preprocess, 6.8ms 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 45.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, high quality), solo, model photoshoot, (red theme:1.1), a stylish girl, red hair, silver eyes, red lipstick, red eye shadow, blush, (freckles:0.7), (european, 22 years old:1.3), sexy, pure innocence, (light smile:0.8), in love, simple red dress, cleavage, detailed natural skin texture, seductive gaze, detailed lighting, (red:1.1) wall background, shallow depth of field, romantic setting, dreamy pastel palette, whimsical details, captured on film, (intricate details:0.5), <lora:Girl_face_3:0.3>
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...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.87s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 29.0ms 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 0.01s
0: 640x640 (no detections), 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms 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 (no detections), 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.6ms preprocess, 7.7ms 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
0: 640x640 (no detections), 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.2ms
Speed: 2.8ms 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 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.