Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 182.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (8k, RAW photo, best quality, masterpiece:1.2), ultra detailed,(photo realistic:1.4), (full body shot:1.2), slim, (small breasts:1.2), petite, sitting on a couch, facing forward, night, soft lighting, hair tied up, beautiful eyes, smiling, happy, (gold dress:1.2), hands on things, <lora:FaceBeauty_qinglong_V3:1>, <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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0: 640x640 1 face, 8.0ms
Speed: 3.5ms preprocess, 8.0ms inference, 27.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 10.1ms
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0: 640x640 4 hands, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 2.5ms 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, 7.6ms
Speed: 3.3ms preprocess, 7.6ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 8.2ms
Speed: 3.0ms preprocess, 8.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.8ms
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0: 640x640 2 hands, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 182.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (8k, RAW photo, best quality, masterpiece:1.2), ultra detailed,(photo realistic:1.4), (full body shot:1.2), slim, (small breasts:1.2), petite, sitting on a couch, facing forward, night, soft lighting, hair tied up, beautiful eyes, smiling, happy, (gold dress:1.2), hands on things, <lora:FaceBeauty_qinglong_V3:1>, <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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0: 640x640 1 face, 8.0ms
Speed: 3.5ms preprocess, 8.0ms inference, 27.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 10.1ms
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 4 hands, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 2.5ms 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...
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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 0.46s
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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, 7.6ms
Speed: 3.3ms preprocess, 7.6ms inference, 2.3ms 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 3 hands, 8.2ms
Speed: 3.0ms preprocess, 8.2ms 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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Decoding latents in cuda:0...
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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, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 2.3ms 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, 7.6ms
Speed: 3.2ms preprocess, 7.6ms 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...
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.