Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 140.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (RAW 8k photo) of DV_Mercedes_Vicious, wrenchsjoyfuljingle, wearing a gown, reindeer antlers, red dress, jewelry, christmas lights, christmas wreath, <lora:wrenchsjoyfuljingle:1>, (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, photoshoot, outside, christmas backdrop, winter scenery, christmas decorations, snowy forest, <lora:FaceBeauty_qinglong_V3:1.5>, <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...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.39s
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0: 640x640 1 face, 8.0ms
Speed: 3.7ms preprocess, 8.0ms inference, 24.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 (no detections), 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.6ms preprocess, 7.7ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.2ms
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0: 640x640 1 face, 7.4ms
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0: 640x640 3 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
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done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 140.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (RAW 8k photo) of DV_Mercedes_Vicious, wrenchsjoyfuljingle, wearing a gown, reindeer antlers, red dress, jewelry, christmas lights, christmas wreath, <lora:wrenchsjoyfuljingle:1>, (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, photoshoot, outside, christmas backdrop, winter scenery, christmas decorations, snowy forest, <lora:FaceBeauty_qinglong_V3:1.5>, <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...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.39s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.0ms
Speed: 3.7ms preprocess, 8.0ms inference, 24.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.6ms preprocess, 7.7ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:07<00:00, 3.05it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:07<00:00, 3.03it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
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100%|██████████| 17/17 [00:07<00:00, 3.04it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
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100%|██████████| 17/17 [00:07<00:00, 3.01it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.