Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 82.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: overlord, momonga, random background, facing viewer, full body
Full negative prompt: unreadable text, empty paper, bad quality, worst quality, easynegative, realistic, volumetric, loli, child, kid, underage
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Decoding latents in cuda:0...
done in 2.42s
Move latents to cpu...
done in 0.03s
0: 640x640 (no detections), 8.4ms
Speed: 3.4ms preprocess, 8.4ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 1 face, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 11.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 1.4ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 82.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: overlord, momonga, random background, facing viewer, full body
Full negative prompt: unreadable text, empty paper, bad quality, worst quality, easynegative, realistic, volumetric, loli, child, kid, underage
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Decoding latents in cuda:0...
done in 2.42s
Move latents to cpu...
done in 0.03s
0: 640x640 (no detections), 8.4ms
Speed: 3.4ms preprocess, 8.4ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 1st settings.
0: 640x640 1 face, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 11.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 1.4ms 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
Uploading outputs...
Finished.