Version: omt
Input
Output
This example was created by evevalentine2017
Finished in 59.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: masterpiece, best quality, 1girl, (solo), baby face, cute kawaii female child, sitting camping chair, pinafore dress, happy, smile, dark-gray gradient hair, long hair, camping, campfire, outdoors, tent, firewood, fire, cooking pot, boned meat, nature, tree, forest, night sky, star sky, starry sky, milky way, star sparkle, perspective, cinematic lighting, diffraction spikes, caustics
Full negative prompt: easynegative, monochrome, 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 0.92s
Move latents to cpu...
done in 0.01s
0: 640x640 1 face, 5.9ms
Speed: 2.1ms preprocess, 5.9ms inference, 20.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
This example was created by evevalentine2017
Finished in 59.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: masterpiece, best quality, 1girl, (solo), baby face, cute kawaii female child, sitting camping chair, pinafore dress, happy, smile, dark-gray gradient hair, long hair, camping, campfire, outdoors, tent, firewood, fire, cooking pot, boned meat, nature, tree, forest, night sky, star sky, starry sky, milky way, star sparkle, perspective, cinematic lighting, diffraction spikes, caustics
Full negative prompt: easynegative, monochrome, 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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17%|█▋ | 4/24 [00:02<00:12, 1.63it/s]
21%|██ | 5/24 [00:03<00:11, 1.63it/s]
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Decoding latents in cuda:0...
done in 0.92s
Move latents to cpu...
done in 0.01s
0: 640x640 1 face, 5.9ms
Speed: 2.1ms preprocess, 5.9ms inference, 20.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s