Version: v7.0
Input
Output
This example was created by evevalentine2017
Finished in 121.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: <lora:[XL]The_moonlight_over_the_lotus_pond:1>, A girl in a long dress stood on a broken bridge by the lake
Full negative prompt: EasyNegative, naked, nude, NSFW, (ugly face:0.8), cross-eyed, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, {Multiple people}, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, jpegartifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, mutation, deformed, extra limbs, malformed limbs, fused fingers, too many fingers, long neck, mutated hands, polar lowres, bad body, gross proportions, missing arms, missing legs, extra foot, ((repeating hair)),nsfw
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Decoding latents in cuda:0...
done in 2.43s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 23.6ms 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 2 hands, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 1.6ms 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...
done in 0.8s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.9ms
Speed: 3.9ms preprocess, 7.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.82s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 1.5ms 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 hand, 7.6ms
Speed: 3.4ms preprocess, 7.6ms inference, 1.7ms 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 121.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: <lora:[XL]The_moonlight_over_the_lotus_pond:1>, A girl in a long dress stood on a broken bridge by the lake
Full negative prompt: EasyNegative, naked, nude, NSFW, (ugly face:0.8), cross-eyed, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, {Multiple people}, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, jpegartifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, mutation, deformed, extra limbs, malformed limbs, fused fingers, too many fingers, long neck, mutated hands, polar lowres, bad body, gross proportions, missing arms, missing legs, extra foot, ((repeating hair)),nsfw
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Decoding latents in cuda:0...
done in 2.43s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 23.6ms 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 2 hands, 7.5ms
Speed: 3.2ms preprocess, 7.5ms 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
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done in 0.0s
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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, 7.9ms
Speed: 3.9ms preprocess, 7.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.82s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.81s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 1.5ms 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 hand, 7.6ms
Speed: 3.4ms preprocess, 7.6ms inference, 1.7ms 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.