Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 117.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: ((Masterpiece)), ((best quality)), ((professional photo)), ((ultra realistic)), ((best light)), a high definition lowkey poignant portrait of several small super cute kittens, flowers, grass background, (high fidelity softly shading, intricate, clustered, focused), <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: low resolution, ((mannequin, silicon doll, render)), childish, explicit nubile, painting, digitalart, poor collage, photoshopped, distortion, dysfunctional, augmented, detached, ripped, minor background, ng_deepnegative_v1_75t, CyberRealistic_Negative-neg, negative_hand-neg
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Decoding latents in cuda:0...
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0: 640x640 2 faces, 8.3ms
Speed: 3.1ms preprocess, 8.3ms inference, 32.8ms 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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Decoding latents in cuda:0...
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0: 640x640 3 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms 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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0: 640x640 3 faces, 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 2 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 (no detections), 18.7ms
Speed: 5.1ms preprocess, 18.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 (no detections), 18.1ms
Speed: 4.7ms preprocess, 18.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 2 faces, 18.3ms
Speed: 4.6ms preprocess, 18.3ms inference, 4.2ms 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 hand, 7.2ms
Speed: 2.7ms 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 0.41s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 117.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: ((Masterpiece)), ((best quality)), ((professional photo)), ((ultra realistic)), ((best light)), a high definition lowkey poignant portrait of several small super cute kittens, flowers, grass background, (high fidelity softly shading, intricate, clustered, focused), <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: low resolution, ((mannequin, silicon doll, render)), childish, explicit nubile, painting, digitalart, poor collage, photoshopped, distortion, dysfunctional, augmented, detached, ripped, minor background, ng_deepnegative_v1_75t, CyberRealistic_Negative-neg, negative_hand-neg
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 2 faces, 8.3ms
Speed: 3.1ms preprocess, 8.3ms inference, 32.8ms 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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Decoding latents in cuda:0...
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0: 640x640 3 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms 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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0: 640x640 3 faces, 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 2 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms 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), 18.7ms
Speed: 5.1ms preprocess, 18.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 1st settings.
0: 640x640 (no detections), 18.1ms
Speed: 4.7ms preprocess, 18.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 2 faces, 18.3ms
Speed: 4.6ms preprocess, 18.3ms inference, 4.2ms 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, 7.2ms
Speed: 2.7ms 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 0.41s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.