Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 184.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (RAW 8k photo) of DV_Shayenne_Vicious, (cow print leather pants and top, cowboy hat and boots), (RAW photo, best quality), (realistic, photo-realistic:1.4), masterpiece, an extremely delicate and beautiful, extremely detailed, 2k wallpaper, Amazing, finely detail, extremely detailed CG unity 8k wallpaper, ultra-detailed, highres, soft light, mascara, makeup, beautiful woman, slender body, smiling, perfect anatomy, long hair, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, cinematic lighting, modeling at an American rodeo, (Wild West town background), <lora:FaceBeauty_qinglong_V3:1>, , <lora:add_saturation:-1.09>
Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5)
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0: 640x640 1 face, 10.1ms
Speed: 3.8ms preprocess, 10.1ms inference, 28.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 8.0ms
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0: 640x640 6 hands, 8.0ms
Speed: 3.7ms preprocess, 8.0ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.9ms
Speed: 3.3ms preprocess, 7.9ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 (no detections), 7.8ms
Speed: 3.3ms preprocess, 7.8ms 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, 8.0ms
Speed: 2.9ms preprocess, 8.0ms 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 2 hands, 8.7ms
Speed: 3.6ms preprocess, 8.7ms inference, 2.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 184.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (RAW 8k photo) of DV_Shayenne_Vicious, (cow print leather pants and top, cowboy hat and boots), (RAW photo, best quality), (realistic, photo-realistic:1.4), masterpiece, an extremely delicate and beautiful, extremely detailed, 2k wallpaper, Amazing, finely detail, extremely detailed CG unity 8k wallpaper, ultra-detailed, highres, soft light, mascara, makeup, beautiful woman, slender body, smiling, perfect anatomy, long hair, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, cinematic lighting, modeling at an American rodeo, (Wild West town background), <lora:FaceBeauty_qinglong_V3:1>, , <lora:add_saturation:-1.09>
Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 10.1ms
Speed: 3.8ms preprocess, 10.1ms inference, 28.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 8.0ms
Speed: 3.3ms preprocess, 8.0ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 8.0ms
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0: 640x640 6 hands, 8.0ms
Speed: 3.7ms preprocess, 8.0ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.9ms
Speed: 3.3ms preprocess, 7.9ms inference, 2.1ms 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), 7.8ms
Speed: 3.3ms preprocess, 7.8ms 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, 8.0ms
Speed: 2.9ms preprocess, 8.0ms 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 2 hands, 8.7ms
Speed: 3.6ms preprocess, 8.7ms inference, 2.8ms 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
Uploading outputs...
Finished.