Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 110.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: 1girl , mimori \(blue archive\), fighting, dress, sideless outfit, fantastic scenery, windmill, windy, transparent robot, transparent mecha, 1mecha, best quality, biomechanical, complex robot, hyper realistic, (hyper detailed:1.25), intricate, (insane fine details:1.1), extremely sharp lines, scifi aesthetic, a masterpiece, by mooncryptowow, complex robot, very thin waist, cleavage, slim body, (8k, masterpiece, best quality, ultra-detailed), (an extremely delicate and beautiful), kawaii, cute, very big eyes, eesthetic anime eyes, small face, cinematic lighting, intricate, high detail, sharp focus, dramatic, masterpiece, best quality, ultra-detailed,
Full negative prompt: ((nipples:1.5)), ((nsfw:1.5)), ((vagina:1.5)), ((topless:1.5)), (bare breasts:1.4), (naked:1.5), (cartoon, painting, illustration, worst quality, low quality:2.0), normal quality, blur, poster, render, grayscale, obstacles, blemishes, imperfections, moles, acne, pimples, strabismus, monochromatic, frame, painting, text, boring, signature, logo, watermark, loose artifacts, blurry, long neck, closed eyes, face jewellery, ugly, deformed, low contrast, 2d, sketch, Lamp, lamppost,, worst quality, ugly, wrong proportions, lowres, ugly, deformed,
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Decoding latents in cuda:0...
done in 1.73s
Move latents to cpu...
done in 0.04s
0: 480x640 1 face, 159.6ms
Speed: 2.7ms preprocess, 159.6ms inference, 23.7ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 480x640 1 face, 8.1ms
Speed: 2.3ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
0: 480x640 1 face, 8.1ms
Speed: 2.4ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 110.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: 1girl , mimori \(blue archive\), fighting, dress, sideless outfit, fantastic scenery, windmill, windy, transparent robot, transparent mecha, 1mecha, best quality, biomechanical, complex robot, hyper realistic, (hyper detailed:1.25), intricate, (insane fine details:1.1), extremely sharp lines, scifi aesthetic, a masterpiece, by mooncryptowow, complex robot, very thin waist, cleavage, slim body, (8k, masterpiece, best quality, ultra-detailed), (an extremely delicate and beautiful), kawaii, cute, very big eyes, eesthetic anime eyes, small face, cinematic lighting, intricate, high detail, sharp focus, dramatic, masterpiece, best quality, ultra-detailed,
Full negative prompt: ((nipples:1.5)), ((nsfw:1.5)), ((vagina:1.5)), ((topless:1.5)), (bare breasts:1.4), (naked:1.5), (cartoon, painting, illustration, worst quality, low quality:2.0), normal quality, blur, poster, render, grayscale, obstacles, blemishes, imperfections, moles, acne, pimples, strabismus, monochromatic, frame, painting, text, boring, signature, logo, watermark, loose artifacts, blurry, long neck, closed eyes, face jewellery, ugly, deformed, low contrast, 2d, sketch, Lamp, lamppost,, worst quality, ugly, wrong proportions, lowres, ugly, deformed,
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Decoding latents in cuda:0...
done in 1.73s
Move latents to cpu...
done in 0.04s
0: 480x640 1 face, 159.6ms
Speed: 2.7ms preprocess, 159.6ms inference, 23.7ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 480x640 1 face, 8.1ms
Speed: 2.3ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 480x640 1 face, 8.1ms
Speed: 2.4ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640)
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Decoding latents in cuda:0...
done in 0.56s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.