Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 37.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: Solo, male, very sexy, masterpiece, white background, 1 handsome male, bara,prince, grey curly hair, vampire, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5>
Full negative prompt: (girl), (feminine), (woman), (more than 2 arms) (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 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 31.2ms 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 0.0s
0: 640x640 (no detections), 7.6ms
Speed: 2.9ms preprocess, 7.6ms 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, 7.4ms
Speed: 2.8ms 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 hand, 9.2ms
Speed: 2.6ms preprocess, 9.2ms inference, 1.6ms 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, 7.7ms
Speed: 2.8ms preprocess, 7.7ms 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 0.44s
Move latents to cpu...
done in 0.22s
0: 640x640 (no detections), 7.3ms
Speed: 2.8ms preprocess, 7.3ms 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, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms 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), 10.7ms
Speed: 2.9ms preprocess, 10.7ms 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 37.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: Solo, male, very sexy, masterpiece, white background, 1 handsome male, bara,prince, grey curly hair, vampire, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5>
Full negative prompt: (girl), (feminine), (woman), (more than 2 arms) (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 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 31.2ms 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 0.0s
0: 640x640 (no detections), 7.6ms
Speed: 2.9ms preprocess, 7.6ms 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, 7.4ms
Speed: 2.8ms 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 hand, 9.2ms
Speed: 2.6ms preprocess, 9.2ms inference, 1.6ms 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, 7.7ms
Speed: 2.8ms preprocess, 7.7ms 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 0.44s
Move latents to cpu...
done in 0.22s
0: 640x640 (no detections), 7.3ms
Speed: 2.8ms preprocess, 7.3ms 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, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms 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), 10.7ms
Speed: 2.9ms preprocess, 10.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.