Version: omt
Input
Output
This example was created by evevalentine2017
Finished in 37.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: ((masterpiece, best quality)), (1 girl), (solo), (female focus), (white hair, short hair, undercut), black eyes, (black peaked cap), black military uniform, (black trench coat, long trench coat), wet clothes, (hands in pockets), (heavy rain, rainy, cloudy sky), standing,
Full negative prompt: easynegative, nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry,
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.01s
0: 640x640 1 face, 6.3ms
Speed: 2.1ms preprocess, 6.3ms inference, 20.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
This example was created by evevalentine2017
Finished in 37.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: ((masterpiece, best quality)), (1 girl), (solo), (female focus), (white hair, short hair, undercut), black eyes, (black peaked cap), black military uniform, (black trench coat, long trench coat), wet clothes, (hands in pockets), (heavy rain, rainy, cloudy sky), standing,
Full negative prompt: easynegative, nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry,
0%| | 0/24 [00:00<?, ?it/s]
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8%|▊ | 2/24 [00:01<00:14, 1.51it/s]
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21%|██ | 5/24 [00:03<00:12, 1.51it/s]
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.01s
0: 640x640 1 face, 6.3ms
Speed: 2.1ms preprocess, 6.3ms inference, 20.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s