Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 71.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: RAW photo: 1.3, masterpiece: 1.3, best quality: 1.4, ultra high res, photo referenced, highest quality, high quality, detailed face and eyes: 1.2, extremely detailed, intricate, eyes detailed, finger detailed: 1.2, short hair, curly hair, dense bangs, black hair, outdoors, cherry blossom trees, Korean school uniform: 1.3, 1 girl, solo, alone, large breasts, large thighs, 2 legs, walking, tie up hair: 1.4, brown eyes: 1.2, smile, 8K UHD, DSLR, soft lighting, high quality, photorealistic, shiny skin, glossy skin, <lora:ReaLora:0.7>
Full negative prompt: nipples, nsfw, ng_deepnegative_v1_75t, bad-picture-chill-75v, bad-hands-5, ugly, low resolution, blurry, (bad proportions), (grotesque), (distorted), (disfigured), (mutated), (malformed), (deformed), (bad anatomy), child, kid, poorly drawn face, wrinkles, chubby, heterochromia, (extra limbs), (missing limbs), (detached limbs), (out of frame, off-centered), (close-up shot photograph),(multiple people in frame:1.2), against the light, (watermark, text, signature:1.2), (makeup, lipstick:1.2), jewelry, (bra:1.3)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 32.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.1ms
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0: 640x640 2 hands, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.4ms
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0: 640x640 2 hands, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 8.1ms
Speed: 2.6ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.0ms
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Decoding latents in cuda:0...
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done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 71.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: RAW photo: 1.3, masterpiece: 1.3, best quality: 1.4, ultra high res, photo referenced, highest quality, high quality, detailed face and eyes: 1.2, extremely detailed, intricate, eyes detailed, finger detailed: 1.2, short hair, curly hair, dense bangs, black hair, outdoors, cherry blossom trees, Korean school uniform: 1.3, 1 girl, solo, alone, large breasts, large thighs, 2 legs, walking, tie up hair: 1.4, brown eyes: 1.2, smile, 8K UHD, DSLR, soft lighting, high quality, photorealistic, shiny skin, glossy skin, <lora:ReaLora:0.7>
Full negative prompt: nipples, nsfw, ng_deepnegative_v1_75t, bad-picture-chill-75v, bad-hands-5, ugly, low resolution, blurry, (bad proportions), (grotesque), (distorted), (disfigured), (mutated), (malformed), (deformed), (bad anatomy), child, kid, poorly drawn face, wrinkles, chubby, heterochromia, (extra limbs), (missing limbs), (detached limbs), (out of frame, off-centered), (close-up shot photograph),(multiple people in frame:1.2), against the light, (watermark, text, signature:1.2), (makeup, lipstick:1.2), jewelry, (bra:1.3)
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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, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 32.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 3 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.1ms
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0: 640x640 2 hands, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.4ms
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0: 640x640 2 hands, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 8.1ms
Speed: 2.6ms preprocess, 8.1ms inference, 1.4ms 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, 7.0ms
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.