Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (reallistic:1.2), (masterpiece, best quality, high quality, highres), ((1girl)), extremely beautiful detailed face, the most beautiful woman in the world, freckles, cute, gorgeous, baby face, medium breasts, best shadow, cowgirl outfit, black hair, long hair, brown eyes, looking at viewer, white cowboy hat, cowboy boots, leather vest, blunt shag hair, <lora:baby_face_v1:0.35>, <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: (more than 1 girl), (man), nipples, topless, nsfw, text, bad_prompt_version2-neg, bad-hands-5, (Asian-Less-Neg:1.2),
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
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0: 640x640 1 face, 11.5ms
Speed: 5.9ms preprocess, 11.5ms inference, 66.7ms 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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0: 640x640 1 hand, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
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0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms 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...
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0: 640x640 3 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 2.7ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 (no detections), 8.3ms
Speed: 3.1ms preprocess, 8.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.9ms preprocess, 7.7ms inference, 1.7ms 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 1 hand, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Finished.