Version: v25
Input
Output
This example was created by evevalentine2017
Finished in 93.6 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed)(Jinx, Legue of Legends, Arcane) upper body professional photo, award winning fashion photography of sexy, intense blue long hair, Jinx <lora:JinxLol:1>, Legue of Legends, Arcane, flirting, bokeh, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, perfect night (fantasy background, extreme detailed, highest detailed, natural skin texture, hyperrealism, soft light, sharp, perfect face), HDR+, , (ultra detailed:1.5), (masterpiece:1.5), (ultra realistic:1.5)
Full negative prompt: bad-hands-5, By bad artist -neg
Couldn't find network with name JinxLol
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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, 8.8ms
Speed: 5.2ms preprocess, 8.8ms inference, 35.1ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name JinxLol
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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), 7.6ms
Speed: 3.4ms preprocess, 7.6ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.7ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name JinxLol
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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), 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 1.0ms 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: 2.8ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name JinxLol
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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), 7.8ms
Speed: 2.9ms preprocess, 7.8ms 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, 8.1ms
Speed: 3.0ms preprocess, 8.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name JinxLol
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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), 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 1.1ms 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 93.6 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed)(Jinx, Legue of Legends, Arcane) upper body professional photo, award winning fashion photography of sexy, intense blue long hair, Jinx <lora:JinxLol:1>, Legue of Legends, Arcane, flirting, bokeh, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, perfect night (fantasy background, extreme detailed, highest detailed, natural skin texture, hyperrealism, soft light, sharp, perfect face), HDR+, , (ultra detailed:1.5), (masterpiece:1.5), (ultra realistic:1.5)
Full negative prompt: bad-hands-5, By bad artist -neg
Couldn't find network with name JinxLol
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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, 8.8ms
Speed: 5.2ms preprocess, 8.8ms inference, 35.1ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name JinxLol
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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), 7.6ms
Speed: 3.4ms preprocess, 7.6ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.7ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name JinxLol
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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), 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 1.0ms 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: 2.8ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name JinxLol
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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), 7.8ms
Speed: 2.9ms preprocess, 7.8ms 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, 8.1ms
Speed: 3.0ms preprocess, 8.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name JinxLol
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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), 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Finished.