Version: v2.5
Input
Output
This example was created by evevalentine2017
Finished in 122.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: best quality, anime, wearing a jacket, big breast, glasses, focus on face, room, manga, lineart, monochrome, black and white, colorless, Lineart, LineAniAF, <lora:LineAniRedmondV2-Lineart-LineAniAF:1>
Full negative prompt: desaturated, nsfw
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Decoding latents in cuda:0...
done in 2.35s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.7ms
Speed: 3.7ms preprocess, 7.7ms inference, 13.6ms 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, 8.4ms
Speed: 3.5ms preprocess, 8.4ms inference, 1.6ms 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 4 faces, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 122.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: best quality, anime, wearing a jacket, big breast, glasses, focus on face, room, manga, lineart, monochrome, black and white, colorless, Lineart, LineAniAF, <lora:LineAniRedmondV2-Lineart-LineAniAF:1>
Full negative prompt: desaturated, nsfw
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Decoding latents in cuda:0...
done in 2.35s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.7ms
Speed: 3.7ms preprocess, 7.7ms inference, 13.6ms 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, 8.4ms
Speed: 3.5ms preprocess, 8.4ms inference, 1.6ms 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 4 faces, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.