Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 160.0 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: highly realistic single adult man standing up cardboard cutout, inanimate <lora:GlossyDiffusionv3:0.7>, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:0.5>, <lora:add_saturation:0.5>
Full negative prompt: nsfw, nude, nipples, BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image
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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 1.95s
Move latents to cpu...
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0: 640x640 2 faces, 9.2ms
Speed: 3.7ms preprocess, 9.2ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 3 hands, 8.1ms
Speed: 2.9ms preprocess, 8.1ms 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 1 face, 8.5ms
Speed: 3.4ms preprocess, 8.5ms 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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0: 640x640 (no detections), 7.9ms
Speed: 2.9ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 2 faces, 9.6ms
Speed: 2.8ms preprocess, 9.6ms 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 1 hand, 7.7ms
Speed: 2.9ms preprocess, 7.7ms 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 faces, 8.3ms
Speed: 3.0ms preprocess, 8.3ms 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 2 hands, 7.8ms
Speed: 3.1ms preprocess, 7.8ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 160.0 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: highly realistic single adult man standing up cardboard cutout, inanimate <lora:GlossyDiffusionv3:0.7>, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:0.5>, <lora:add_saturation:0.5>
Full negative prompt: nsfw, nude, nipples, BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image
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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 1.95s
Move latents to cpu...
done in 0.02s
0: 640x640 2 faces, 9.2ms
Speed: 3.7ms preprocess, 9.2ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 3 hands, 8.1ms
Speed: 2.9ms preprocess, 8.1ms 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
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done in 0.0s
0: 640x640 1 face, 8.5ms
Speed: 3.4ms preprocess, 8.5ms 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
0: 640x640 (no detections), 7.9ms
Speed: 2.9ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 2 faces, 9.6ms
Speed: 2.8ms preprocess, 9.6ms 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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Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.7ms
Speed: 2.9ms preprocess, 7.7ms 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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Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 8.3ms
Speed: 3.0ms preprocess, 8.3ms 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 2 hands, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 2.0ms 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
Uploading outputs...
Finished.