Version: v25
Input
Output
This example was created by evevalentine2017
Finished in 77.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed) upper body photo, fashion photography of cute, intense long red hair, (\Asuna Yuuki\)\(sword art online\) <lora:asuna_(sao)_v1:0.6>,(ultrahigh resolution textures), in dynamic pose, bokeh, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, perfect night, fantasy background, (official art, extreme detailed, highest detailed), 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 asuna_(sao)_v1
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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, 7.8ms
Speed: 3.6ms preprocess, 7.8ms inference, 46.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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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 0.45s
Move latents to cpu...
done in 0.22s
0: 640x640 (no detections), 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.0ms 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: 2.6ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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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: 3.1ms preprocess, 7.2ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name asuna_(sao)_v1
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name asuna_(sao)_v1
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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, 7.4ms
Speed: 4.0ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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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, 0.9ms 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 77.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed) upper body photo, fashion photography of cute, intense long red hair, (\Asuna Yuuki\)\(sword art online\) <lora:asuna_(sao)_v1:0.6>,(ultrahigh resolution textures), in dynamic pose, bokeh, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, perfect night, fantasy background, (official art, extreme detailed, highest detailed), 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 asuna_(sao)_v1
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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, 7.8ms
Speed: 3.6ms preprocess, 7.8ms inference, 46.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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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 0.45s
Move latents to cpu...
done in 0.22s
0: 640x640 (no detections), 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.0ms 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: 2.6ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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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: 3.1ms preprocess, 7.2ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name asuna_(sao)_v1
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name asuna_(sao)_v1
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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, 7.4ms
Speed: 4.0ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name asuna_(sao)_v1
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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, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Finished.