Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 94.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Photorealism, extremely realistic photo with a Fujifilm GFX, proud samurai under the rain, meditating, japanese temple background, forest
Full negative prompt: CyberRealistic_Negative-neg, cartoon, painting
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Decoding latents in cuda:0...
done in 2.44s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.8ms
Speed: 3.6ms preprocess, 7.8ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 9.3ms
Speed: 19.8ms preprocess, 9.3ms inference, 2.0ms 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 94.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Photorealism, extremely realistic photo with a Fujifilm GFX, proud samurai under the rain, meditating, japanese temple background, forest
Full negative prompt: CyberRealistic_Negative-neg, cartoon, painting
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Decoding latents in cuda:0...
done in 2.44s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.8ms
Speed: 3.6ms preprocess, 7.8ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 9.3ms
Speed: 19.8ms preprocess, 9.3ms inference, 2.0ms 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.