Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 64.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: ((Masterpiece, best quality)), edgQuality,bimbo,glossy,
GothGal, a woman in a black and white dress,ribbon,lace,goth print , eyepatch,woman wearing a GothGal outfit <lora:edgGothGal_MINI:1>
Full negative prompt: (worst quality, low quality, normal quality), (monochrome), watermark, bad anatomy, error, bad prompt, artist name, copyright name, company name, name tag, character name, ((simple background)), ((transparent background)), single colored hair, simple dress, simple cloth, bad fingers, extra arms, extra legs, missing arms, missing legs, jpeg artifacts, multiple face, multiple girls, verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 29.6ms 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: 2.7ms preprocess, 7.0ms 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 1 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 (no detections), 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms 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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0: 640x640 1 hand, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms 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, 7.3ms
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 64.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: ((Masterpiece, best quality)), edgQuality,bimbo,glossy,
GothGal, a woman in a black and white dress,ribbon,lace,goth print , eyepatch,woman wearing a GothGal outfit <lora:edgGothGal_MINI:1>
Full negative prompt: (worst quality, low quality, normal quality), (monochrome), watermark, bad anatomy, error, bad prompt, artist name, copyright name, company name, name tag, character name, ((simple background)), ((transparent background)), single colored hair, simple dress, simple cloth, bad fingers, extra arms, extra legs, missing arms, missing legs, jpeg artifacts, multiple face, multiple girls, verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 29.6ms 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: 2.7ms preprocess, 7.0ms 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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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.3ms 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), 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms 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 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms 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, 6.8ms
Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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80%|████████ | 12/15 [00:02<00:00, 4.94it/s]
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
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100%|██████████| 15/15 [00:03<00:00, 4.83it/s]
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.