Version: v6.0
Input
Output
This example was created by evevalentine2017
Finished in 105.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo of a young girl of exquisite beauty posing for a picture on a snowy mountain, she is wearing ski goggles, she has long hair, she is smiling, snowy weather, cold winter evening, ski gear <lora:more_details:0.7>, [consistent facial and body proportions, aesthetic design and intricate composition, refined body details, natural beauty, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity]
Full negative prompt: (Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
Couldn't find network with name more_details
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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: 2.8ms preprocess, 7.7ms inference, 22.8ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.01s
0: 640x640 (no detections), 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.5ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.4ms
Speed: 3.2ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
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Couldn't find network with name more_details
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
Couldn't find network with name more_details
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 105.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo of a young girl of exquisite beauty posing for a picture on a snowy mountain, she is wearing ski goggles, she has long hair, she is smiling, snowy weather, cold winter evening, ski gear <lora:more_details:0.7>, [consistent facial and body proportions, aesthetic design and intricate composition, refined body details, natural beauty, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity]
Full negative prompt: (Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
Couldn't find network with name more_details
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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: 2.8ms preprocess, 7.7ms inference, 22.8ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.01s
0: 640x640 (no detections), 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.5ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
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0: 640x640 3 hands, 7.4ms
Speed: 3.2ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Couldn't find network with name more_details
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Decoding latents in cuda:0...
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Couldn't find network with name more_details
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name more_details
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.