Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 69.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: 1 girl, sitting on a scooter, micro shorts, a city, happy
Full negative prompt: oversaturated, bad quality, worst quality, easynegative, child, kid, loli, underage, realistic, volumetric
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Decoding latents in cuda:0...
done in 1.69s
Move latents to cpu...
done in 0.02s
0: 640x480 1 face, 160.2ms
Speed: 2.6ms preprocess, 160.2ms inference, 21.7ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 8.2ms
Speed: 2.4ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 13.8ms
Speed: 3.0ms preprocess, 13.8ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.57s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 69.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: 1 girl, sitting on a scooter, micro shorts, a city, happy
Full negative prompt: oversaturated, bad quality, worst quality, easynegative, child, kid, loli, underage, realistic, volumetric
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Decoding latents in cuda:0...
done in 1.69s
Move latents to cpu...
done in 0.02s
0: 640x480 1 face, 160.2ms
Speed: 2.6ms preprocess, 160.2ms inference, 21.7ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 8.2ms
Speed: 2.4ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
0: 640x480 1 face, 13.8ms
Speed: 3.0ms preprocess, 13.8ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.57s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.