Version: lightning
Input
Output
This example was created by evevalentine2017
Finished in 53.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: closeup photo, face of an old viking man wearing a steampunk armor and a epic steampunk mask, dark alley, dark fantasy, dystopian vibe
Full negative prompt: Bad quality, worst quality, watermark
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Decoding latents in cuda:0...
done in 2.42s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.6ms
Speed: 3.3ms preprocess, 7.6ms inference, 31.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.82s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 53.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: closeup photo, face of an old viking man wearing a steampunk armor and a epic steampunk mask, dark alley, dark fantasy, dystopian vibe
Full negative prompt: Bad quality, worst quality, watermark
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Decoding latents in cuda:0...
done in 2.42s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.6ms
Speed: 3.3ms preprocess, 7.6ms inference, 31.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.82s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.