Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 87.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (masterpiece, best quality, ultra detailed:1.4), 1girl, (mature woman:1.4), aqua hair, high contrast, cyberpunk bartender outfit; ponytail, bangs, detailed background, cyberpunk, futuristic, cocktail, bar, barmaid, window, bloom, neon lights, smug, smile, open mouth, <lora:cyberspace_background-refiner:0.8>, cyberspace_background,
Full negative prompt: ((portrait)), ((focus on face)), ((more than 2 arms)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 24.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 8.7ms
Speed: 2.6ms preprocess, 8.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 7.3ms
Speed: 2.5ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 12.1ms
Speed: 2.8ms preprocess, 12.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.6ms preprocess, 7.2ms 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 87.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (masterpiece, best quality, ultra detailed:1.4), 1girl, (mature woman:1.4), aqua hair, high contrast, cyberpunk bartender outfit; ponytail, bangs, detailed background, cyberpunk, futuristic, cocktail, bar, barmaid, window, bloom, neon lights, smug, smile, open mouth, <lora:cyberspace_background-refiner:0.8>, cyberspace_background,
Full negative prompt: ((portrait)), ((focus on face)), ((more than 2 arms)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
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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, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 24.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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done in 0.0s
0: 640x640 1 face, 8.7ms
Speed: 2.6ms preprocess, 8.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 7.3ms
Speed: 2.5ms preprocess, 7.3ms inference, 1.3ms 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, 12.1ms
Speed: 2.8ms preprocess, 12.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.6ms preprocess, 7.2ms 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, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms 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), 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.