Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 117.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: beautiful japanese young woman, extreme detailed, bodysuit, gloves, belt, thigh boots, (valorantViper:1.2), bodysuit, gloves, belt, thigh boots, ((respirator)), looking at viewer, face, portrait, close-up, green, slender, (combat ready stance), (tactical outfit), (solo character), (gaming theme:1.5), short hair, green, (black hair), (milittary gear), (gas mask:0.4), (poisonous green:1.2), (glowing effects), <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09>
Full negative prompt: lips, mouth, ((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, 7.4ms
Speed: 3.3ms preprocess, 7.4ms inference, 27.0ms 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), 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.6ms 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, 7.0ms
Speed: 3.1ms preprocess, 7.0ms inference, 2.3ms 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, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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done in 0.0s
0: 640x640 (no detections), 7.1ms
Speed: 3.0ms preprocess, 7.1ms 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, 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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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done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.9ms preprocess, 6.9ms inference, 1.7ms 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.
===========================================
done in 0.45s
Move latents to cpu...
done in 0.22s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 117.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: beautiful japanese young woman, extreme detailed, bodysuit, gloves, belt, thigh boots, (valorantViper:1.2), bodysuit, gloves, belt, thigh boots, ((respirator)), looking at viewer, face, portrait, close-up, green, slender, (combat ready stance), (tactical outfit), (solo character), (gaming theme:1.5), short hair, green, (black hair), (milittary gear), (gas mask:0.4), (poisonous green:1.2), (glowing effects), <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09>
Full negative prompt: lips, mouth, ((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...
done in 1.03s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.4ms
Speed: 3.3ms preprocess, 7.4ms inference, 27.0ms 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), 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.6ms 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, 7.0ms
Speed: 3.1ms preprocess, 7.0ms inference, 2.3ms 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 face, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 2.0ms 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), 7.1ms
Speed: 3.0ms preprocess, 7.1ms 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, 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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
0: 640x640 1 hand, 6.9ms
Speed: 2.9ms preprocess, 6.9ms inference, 1.7ms 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.
===========================================
done in 0.45s
Move latents to cpu...
done in 0.22s
Uploading outputs...
Finished.