Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 135.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: sci-fi art, award winning, ("In the golden silence of dawn, the world awakens, kissed by the soft embrace of sunlight.":1.1), woman and man, it is very Passionate, Barbarella, FOV 90 degrees, Masterpiece, Temari, extremely beautiful 18 year old
Full negative prompt: merged bodies, deformed legs, merged legs
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Decoding latents in cuda:0...
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0: 640x480 2 faces, 158.4ms
Speed: 3.0ms preprocess, 158.4ms inference, 29.6ms postprocess per image at shape (1, 3, 640, 480)
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0: 640x480 2 faces, 8.1ms
Speed: 2.3ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480)
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0: 640x480 2 faces, 8.0ms
Speed: 2.4ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.59s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 135.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: sci-fi art, award winning, ("In the golden silence of dawn, the world awakens, kissed by the soft embrace of sunlight.":1.1), woman and man, it is very Passionate, Barbarella, FOV 90 degrees, Masterpiece, Temari, extremely beautiful 18 year old
Full negative prompt: merged bodies, deformed legs, merged legs
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Decoding latents in cuda:0...
done in 1.78s
Move latents to cpu...
done in 0.03s
0: 640x480 2 faces, 158.4ms
Speed: 3.0ms preprocess, 158.4ms inference, 29.6ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.58s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.59s
Move latents to cpu...
done in 0.0s
0: 640x480 2 faces, 8.1ms
Speed: 2.3ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.59s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.59s
Move latents to cpu...
done in 0.0s
0: 640x480 2 faces, 8.0ms
Speed: 2.4ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
done in 0.59s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.59s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.