Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 86.0 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: portrait,(8k, RAW photo, best quality, ultra high res, photorealistic, masterpiece, ultra-detailed, Unreal Engine), camera low, camera close, absurdres, best quality,1girl, solo, living room, kneeling, fluffy rug, christmas tree, christmas present, sunset, ((red christmas bra)), ((red christmas leggings), choker, close up, (best quality: 1.5), (masterpiece: 1.5), (ultra detailed: 1.5), (ultra realistic: 1.5), <lora:add_detail:0.1>
Full negative prompt: EasyNegativeV2, 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, bad-hands-5
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0: 640x640 1 face, 7.6ms
Speed: 7.7ms preprocess, 7.6ms inference, 65.2ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 6.9ms
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0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms 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 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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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), 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Finished.
This example was created by evevalentine2017
Finished in 86.0 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: portrait,(8k, RAW photo, best quality, ultra high res, photorealistic, masterpiece, ultra-detailed, Unreal Engine), camera low, camera close, absurdres, best quality,1girl, solo, living room, kneeling, fluffy rug, christmas tree, christmas present, sunset, ((red christmas bra)), ((red christmas leggings), choker, close up, (best quality: 1.5), (masterpiece: 1.5), (ultra detailed: 1.5), (ultra realistic: 1.5), <lora:add_detail:0.1>
Full negative prompt: EasyNegativeV2, 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, bad-hands-5
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 7.7ms preprocess, 7.6ms inference, 65.2ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 1.3ms 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 2 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms 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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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 1.9ms 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 (no detections), 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Finished.