Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 115.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality, realistic), ((cowboy shot)), 1man, beard, blush, perfect illumination, black eyes, sidelighting, bangs, bright skin, black leather jacket, pub background, ultra detailed motorcycle, <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: ((no more than 1 man)), ((girl:2)), ((woman:2)), ((feminine: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, 7.5ms
Speed: 3.4ms preprocess, 7.5ms inference, 24.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.0ms
Speed: 3.1ms preprocess, 7.0ms inference, 2.7ms 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.
===========================================
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0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms 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 2 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms 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 1 face, 7.5ms
Speed: 2.8ms preprocess, 7.5ms 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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0: 640x640 (no detections), 7.0ms
Speed: 2.6ms preprocess, 7.0ms 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, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
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done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 115.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality, realistic), ((cowboy shot)), 1man, beard, blush, perfect illumination, black eyes, sidelighting, bangs, bright skin, black leather jacket, pub background, ultra detailed motorcycle, <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: ((no more than 1 man)), ((girl:2)), ((woman:2)), ((feminine: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...
done in 1.0s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 3.4ms preprocess, 7.5ms inference, 24.1ms 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 2 hands, 7.0ms
Speed: 3.1ms preprocess, 7.0ms inference, 2.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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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 0.47s
Move latents to cpu...
done in 0.22s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 2.1ms 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 2 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.8ms 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...
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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, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.5ms 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 (no detections), 7.0ms
Speed: 2.6ms preprocess, 7.0ms 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, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 2.0ms 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 (no detections), 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.