Version: v6.0
Input
Output
This example was created by evevalentine2017
Finished in 100.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: a monkey Macaca fuscata head sticking out from water of hotsprings bath, chilling in the hotsprings emerging from hotsprings water, mist fog, [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], <lora:MonkeyLoraV1:0.8>
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]
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 24.7ms postprocess per image at shape (1, 3, 640, 640)
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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), 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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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 2 with 2nd settings.
0: 640x640 1 face, 9.4ms
Speed: 4.7ms preprocess, 9.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.7ms
Speed: 2.6ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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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, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 100.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: a monkey Macaca fuscata head sticking out from water of hotsprings bath, chilling in the hotsprings emerging from hotsprings water, mist fog, [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], <lora:MonkeyLoraV1:0.8>
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]
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 24.7ms postprocess per image at shape (1, 3, 640, 640)
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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), 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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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 2 with 2nd settings.
0: 640x640 1 face, 9.4ms
Speed: 4.7ms preprocess, 9.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.7ms
Speed: 2.6ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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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, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.