Version: v2.5
Input
Output
This example was created by evevalentine2017
Finished in 45.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (absurdres, highres, ultra detailed), 1woman, mature female, aged up, long hair, blonde hair, turquoise eyes, bangs, long sleeves, finely detailed eyes and detailed face, extremely detailed CG unity 8k wallpaper, intricate details, looking down, solo, upper body, detailed face, determined expression, bronze age, (ancient roman theme:1.1), roman mythology, height of ancient rome, Roman republic, Pompei, aqueducts, deity of war, white simple armor, ancient theme, (flourishing civilization:1.1), pristine white marble, (intact:1.1), mediterranean landscape, valleys from above in background, majestic atmosphere, floating bronze particles,, portrait, wind swirling, <lora:FaceBeauty_qinglong_V3:1.5>
Full negative prompt: EasyNegativeV2, (aged down:1.4, teenage:1.4, nsfw:1.4, blush, worst quality, low quality:1.4, blurry:1.4, bad-hands-5), multiple views, multiple panels, (text, signature, artist name, watermark)
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Decoding latents in cuda:0...
done in 0.94s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 4.4ms preprocess, 7.7ms inference, 33.2ms 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 0.01s
0: 640x640 (no detections), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms 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 1 hand, 7.4ms
Speed: 2.9ms preprocess, 7.4ms 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 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms 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 0.43s
Move latents to cpu...
done in 0.22s
0: 640x640 (no detections), 7.2ms
Speed: 2.7ms 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, 8.2ms
Speed: 2.9ms preprocess, 8.2ms inference, 2.1ms 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), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Finished.
This example was created by evevalentine2017
Finished in 45.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (absurdres, highres, ultra detailed), 1woman, mature female, aged up, long hair, blonde hair, turquoise eyes, bangs, long sleeves, finely detailed eyes and detailed face, extremely detailed CG unity 8k wallpaper, intricate details, looking down, solo, upper body, detailed face, determined expression, bronze age, (ancient roman theme:1.1), roman mythology, height of ancient rome, Roman republic, Pompei, aqueducts, deity of war, white simple armor, ancient theme, (flourishing civilization:1.1), pristine white marble, (intact:1.1), mediterranean landscape, valleys from above in background, majestic atmosphere, floating bronze particles,, portrait, wind swirling, <lora:FaceBeauty_qinglong_V3:1.5>
Full negative prompt: EasyNegativeV2, (aged down:1.4, teenage:1.4, nsfw:1.4, blush, worst quality, low quality:1.4, blurry:1.4, bad-hands-5), multiple views, multiple panels, (text, signature, artist name, watermark)
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Decoding latents in cuda:0...
done in 0.94s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 4.4ms preprocess, 7.7ms inference, 33.2ms 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 0.01s
0: 640x640 (no detections), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms 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 1 hand, 7.4ms
Speed: 2.9ms preprocess, 7.4ms 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 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms 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 0.43s
Move latents to cpu...
done in 0.22s
0: 640x640 (no detections), 7.2ms
Speed: 2.7ms 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, 8.2ms
Speed: 2.9ms preprocess, 8.2ms inference, 2.1ms 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), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Finished.