Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 79.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: Full body view, (masterpiece:1.3), (best quality), (8k), (looking at viewer:1.1), captivating, young woman, hot, gorgeous, seductive, (eye contact:1.1), radiant face, (detailed face:1.2), hyper detailed, best quality, ultra high res, lavender hair, underwater kingdom, photorealistic, high resolution, detailed, raw photo, 1 girl, mermaid, surrounded by marine life, <lora:hairdetailer:1>, <lora:mermaid:1>
Full negative prompt: EasyNegative, nsfw, nipples, double tail, more than 1 tail, more than 1 fin, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 31.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 8.4ms
Speed: 2.9ms preprocess, 8.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.8ms
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0: 640x640 2 hands, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.9ms
Speed: 3.0ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.7ms
Speed: 3.4ms preprocess, 7.7ms inference, 1.8ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 79.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: Full body view, (masterpiece:1.3), (best quality), (8k), (looking at viewer:1.1), captivating, young woman, hot, gorgeous, seductive, (eye contact:1.1), radiant face, (detailed face:1.2), hyper detailed, best quality, ultra high res, lavender hair, underwater kingdom, photorealistic, high resolution, detailed, raw photo, 1 girl, mermaid, surrounded by marine life, <lora:hairdetailer:1>, <lora:mermaid:1>
Full negative prompt: EasyNegative, nsfw, nipples, double tail, more than 1 tail, more than 1 fin, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
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0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 31.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 2 hands, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 8.4ms
Speed: 2.9ms preprocess, 8.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 3 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms 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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Move latents to cpu...
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0: 640x640 1 face, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 2 hands, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 1.7ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.9ms
Speed: 3.0ms preprocess, 7.9ms inference, 1.4ms 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
0: 640x640 2 hands, 7.7ms
Speed: 3.4ms preprocess, 7.7ms inference, 1.8ms 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 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.