Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 66.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photorealistic, realistic, high quality, extremely beautiful, absurdly detailed, masterpiece, best quality, highres,ultra-detailed, cowboy shot, solo, 1girl, large breasts, short hair, red hair, standing, outdoors, garden, trees, gem, jeweled_evening_dress, 8k, 4k, cannon, png,
<lora:jeweled_evening_dress:0.8>, <lora:detail_slider_v4:2>, <lora:hairdetailer:1>, <lora:add_saturation:0.85>
Full negative prompt: 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 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 3.4ms preprocess, 7.7ms inference, 34.2ms 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 0.01s
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms 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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done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.7ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 66.4 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photorealistic, realistic, high quality, extremely beautiful, absurdly detailed, masterpiece, best quality, highres,ultra-detailed, cowboy shot, solo, 1girl, large breasts, short hair, red hair, standing, outdoors, garden, trees, gem, jeweled_evening_dress, 8k, 4k, cannon, png,
<lora:jeweled_evening_dress:0.8>, <lora:detail_slider_v4:2>, <lora:hairdetailer:1>, <lora:add_saturation:0.85>
Full negative prompt: 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 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 3.4ms preprocess, 7.7ms inference, 34.2ms 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 0.01s
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 1.6ms 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 1 face, 7.1ms
Speed: 2.7ms 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 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.