Version: be0407f
Input
Output
This example was created by evevalentine2017
Finished in 161.8 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: 1girl, choker, jewelry, lips, large breasts, necklace, short hair, sleeveless, solo, upper body, white hair, dynamic pose,
Full negative prompt: large breasts, logo, watermark, text, simple background, covered nipples,
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Decoding latents in cuda:0...
done in 1.77s
Move latents to cpu...
done in 0.02s
0: 640x480 1 face, 173.8ms
Speed: 2.5ms preprocess, 173.8ms inference, 22.7ms 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
0: 640x480 1 face, 8.6ms
Speed: 2.5ms preprocess, 8.6ms inference, 1.5ms 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
0: 640x480 1 face, 8.4ms
Speed: 2.5ms preprocess, 8.4ms inference, 1.5ms 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...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 161.8 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: 1girl, choker, jewelry, lips, large breasts, necklace, short hair, sleeveless, solo, upper body, white hair, dynamic pose,
Full negative prompt: large breasts, logo, watermark, text, simple background, covered nipples,
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Decoding latents in cuda:0...
done in 1.77s
Move latents to cpu...
done in 0.02s
0: 640x480 1 face, 173.8ms
Speed: 2.5ms preprocess, 173.8ms inference, 22.7ms 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
0: 640x480 1 face, 8.6ms
Speed: 2.5ms preprocess, 8.6ms inference, 1.5ms 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
0: 640x480 1 face, 8.4ms
Speed: 2.5ms preprocess, 8.4ms inference, 1.5ms 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...
done in 0.0s
Uploading outputs...
Finished.