Version: v1.1
Input
Output
This example was created by evevalentine2017
Finished in 171.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: cinematic film still of Kodak Motion Picture Film: (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.8>
Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image,
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.0ms preprocess, 7.9ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
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done in 0.0s
0: 640x640 (no detections), 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 9.2ms
Speed: 2.7ms preprocess, 9.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 2 faces, 7.8ms
Speed: 2.6ms preprocess, 7.8ms inference, 1.5ms 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...
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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), 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.6ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 171.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: cinematic film still of Kodak Motion Picture Film: (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.8>
Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image,
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.0ms preprocess, 7.9ms inference, 32.8ms 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), 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 9.2ms
Speed: 2.7ms preprocess, 9.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 2 faces, 7.8ms
Speed: 2.6ms preprocess, 7.8ms inference, 1.5ms 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
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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), 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.6ms 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
Uploading outputs...
Finished.