Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 60.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: Best quality, masterpiece, ultra high res, (photorealistic:1.4), raw photo, 1girl, hanfu, ancient chinese building, <lora:more_details:0.4>, <lora:add_detail:-0.48>, <lora:add_brightness:-0.26>, <lora:contrast_slider_v10:-1.59>
Full negative prompt: desaturated, 3 arms, 3 legs, ng_deepnegative_v1_75t, (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, bad-hands-5
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Decoding latents in cuda:0...
done in 1.31s
Move latents to cpu...
done in 0.03s
0: 640x480 1 face, 168.3ms
Speed: 2.4ms preprocess, 168.3ms inference, 31.0ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 2 hands, 99.4ms
Speed: 2.4ms preprocess, 99.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 1 face, 14.5ms
Speed: 2.3ms preprocess, 14.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 (no detections), 7.9ms
Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x480 1 face, 8.0ms
Speed: 2.4ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 2 hands, 7.7ms
Speed: 2.3ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 1 face, 8.4ms
Speed: 2.4ms preprocess, 8.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 1 hand, 7.9ms
Speed: 2.3ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 60.0 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: Best quality, masterpiece, ultra high res, (photorealistic:1.4), raw photo, 1girl, hanfu, ancient chinese building, <lora:more_details:0.4>, <lora:add_detail:-0.48>, <lora:add_brightness:-0.26>, <lora:contrast_slider_v10:-1.59>
Full negative prompt: desaturated, 3 arms, 3 legs, ng_deepnegative_v1_75t, (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, bad-hands-5
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Decoding latents in cuda:0...
done in 1.31s
Move latents to cpu...
done in 0.03s
0: 640x480 1 face, 168.3ms
Speed: 2.4ms preprocess, 168.3ms inference, 31.0ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x480 2 hands, 99.4ms
Speed: 2.4ms preprocess, 99.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 14.5ms
Speed: 2.3ms preprocess, 14.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 (no detections), 7.9ms
Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x480 1 face, 8.0ms
Speed: 2.4ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.32s
Move latents to cpu...
done in 0.0s
0: 640x480 2 hands, 7.7ms
Speed: 2.3ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.32s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 8.4ms
Speed: 2.4ms preprocess, 8.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.32s
Move latents to cpu...
done in 0.0s
0: 640x480 1 hand, 7.9ms
Speed: 2.3ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.32s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.