Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 26.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: 1 cat with a tophat, <lora:more_details:0.7>, no humans, <lora:add_brightness:0.2>, <lora:add_saturation:-0.52>
Full negative prompt: (more than 2 arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts)
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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, 7.9ms
Speed: 3.3ms preprocess, 7.9ms inference, 32.8ms 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, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 1 face, 8.4ms
Speed: 2.6ms preprocess, 8.4ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 26.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: 1 cat with a tophat, <lora:more_details:0.7>, no humans, <lora:add_brightness:0.2>, <lora:add_saturation:-0.52>
Full negative prompt: (more than 2 arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts)
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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, 7.9ms
Speed: 3.3ms preprocess, 7.9ms inference, 32.8ms 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, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 1 face, 8.4ms
Speed: 2.6ms preprocess, 8.4ms 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
Uploading outputs...
Finished.