Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 56.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: bird, 1 boy, male focus, black pants, from behind, standing, pants, solo, black hair, sun, formal, black jacket, suit, surreal, short hair, jacket, cloud, red sky, long sleeves.
Full negative prompt:
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Decoding latents in cuda:0...
done in 2.48s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.6ms
Speed: 3.3ms preprocess, 7.6ms inference, 31.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.83s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.83s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.83s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 56.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: bird, 1 boy, male focus, black pants, from behind, standing, pants, solo, black hair, sun, formal, black jacket, suit, surreal, short hair, jacket, cloud, red sky, long sleeves.
Full negative prompt:
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Decoding latents in cuda:0...
done in 2.48s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.6ms
Speed: 3.3ms preprocess, 7.6ms inference, 31.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.83s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.83s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.83s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.