Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 70.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Purple sky, tattoos, 1girl, black hair, outdoors, sitting, side view, melancholic
Full negative prompt: bad quality, worst quality, easynegative, realistic, oversaturated, volumetric, nipples, nsfw
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Decoding latents in cuda:0...
done in 1.7s
Move latents to cpu...
done in 0.04s
0: 480x640 1 face, 166.6ms
Speed: 3.0ms preprocess, 166.6ms inference, 22.9ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
0: 480x640 1 face, 8.3ms
Speed: 2.6ms preprocess, 8.3ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
0: 480x640 1 face, 8.3ms
Speed: 2.3ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 70.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Purple sky, tattoos, 1girl, black hair, outdoors, sitting, side view, melancholic
Full negative prompt: bad quality, worst quality, easynegative, realistic, oversaturated, volumetric, nipples, nsfw
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Decoding latents in cuda:0...
done in 1.7s
Move latents to cpu...
done in 0.04s
0: 480x640 1 face, 166.6ms
Speed: 3.0ms preprocess, 166.6ms inference, 22.9ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
0: 480x640 1 face, 8.3ms
Speed: 2.6ms preprocess, 8.3ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
0: 480x640 1 face, 8.3ms
Speed: 2.3ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.55s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.