Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 72.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: masterpiece, best quality, full body, 8k, (looking at the viewer: 1.1), beautiful, hot, seductive, woman with tanned skin, medium breasts, long blonde hair, (eye contact:1.1), beautiful face, (detailed face:1.2), (washing a car:1.2), navel, hyper detailed, best quality, ultra high resolution, cars parking, smile, photorealistic, high resolution, detailed, raw photo, 1girl, wet clothes, <lora:detail_slider_v4:2>, <lora:hairdetailer:1>, 8k, 4k, cannon, png, <lora:add_saturation:0.85>
Full negative prompt: 3 hands, nsfw, (nipples), EasyNegative, 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, badhandv4, clothes
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0: 640x640 1 face, 11.2ms
Speed: 4.1ms preprocess, 11.2ms inference, 38.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 9.2ms
Speed: 3.1ms preprocess, 9.2ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 11.1ms
Speed: 4.1ms preprocess, 11.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 9.6ms
Speed: 2.9ms preprocess, 9.6ms inference, 2.1ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 72.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: masterpiece, best quality, full body, 8k, (looking at the viewer: 1.1), beautiful, hot, seductive, woman with tanned skin, medium breasts, long blonde hair, (eye contact:1.1), beautiful face, (detailed face:1.2), (washing a car:1.2), navel, hyper detailed, best quality, ultra high resolution, cars parking, smile, photorealistic, high resolution, detailed, raw photo, 1girl, wet clothes, <lora:detail_slider_v4:2>, <lora:hairdetailer:1>, 8k, 4k, cannon, png, <lora:add_saturation:0.85>
Full negative prompt: 3 hands, nsfw, (nipples), EasyNegative, 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, badhandv4, clothes
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.03s
0: 640x640 1 face, 11.2ms
Speed: 4.1ms preprocess, 11.2ms inference, 38.6ms 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
0: 640x640 2 faces, 9.2ms
Speed: 3.1ms preprocess, 9.2ms inference, 2.2ms 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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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 11.1ms
Speed: 4.1ms preprocess, 11.1ms inference, 1.7ms 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 faces, 9.6ms
Speed: 2.9ms preprocess, 9.6ms inference, 2.1ms 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
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.