Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 50.9 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)), ((professional photo)), ((perfect anatomy)), ((best light)), a high-definition photograph shows a girl, scifi, hieroglyphs, sandstone, slim, skinny, small breasts, (red eyes:1.2), green hair, multicolored hair, aqua hair, bob cut, side smile, closed mouth, looking at viewer, holding a tablet, highlighted, (appropriate material structure, authenticity, proper exposure), (glossy skin:1.5), (volumetric), <lora:FaceBeauty_qinglong_V3:1>, <lora:EgyptTech-30:0.9>, (egypttech)
Full negative prompt: (nsfw:1.5), (nipples:1.5), low resolution, ((mannequin, silicon doll, render)), childish, explicit nubile, painting, digitalart, poor collage, photoshopped, distortion, dysfunctional, augmented, detached, ripped, minor background, easynegative, boring_e621_v4, negative_hand-neg
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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, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 29.7ms 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 0.01s
0: 640x640 (no detections), 6.8ms
Speed: 2.8ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
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 1 hand, 6.7ms
Speed: 2.6ms preprocess, 6.7ms inference, 1.2ms 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, 7.5ms
Speed: 2.8ms preprocess, 7.5ms 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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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, 7.6ms
Speed: 2.6ms preprocess, 7.6ms inference, 1.9ms 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 (no detections), 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 0.7ms 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 50.9 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)), ((professional photo)), ((perfect anatomy)), ((best light)), a high-definition photograph shows a girl, scifi, hieroglyphs, sandstone, slim, skinny, small breasts, (red eyes:1.2), green hair, multicolored hair, aqua hair, bob cut, side smile, closed mouth, looking at viewer, holding a tablet, highlighted, (appropriate material structure, authenticity, proper exposure), (glossy skin:1.5), (volumetric), <lora:FaceBeauty_qinglong_V3:1>, <lora:EgyptTech-30:0.9>, (egypttech)
Full negative prompt: (nsfw:1.5), (nipples:1.5), low resolution, ((mannequin, silicon doll, render)), childish, explicit nubile, painting, digitalart, poor collage, photoshopped, distortion, dysfunctional, augmented, detached, ripped, minor background, easynegative, boring_e621_v4, negative_hand-neg
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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, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 29.7ms 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 0.01s
0: 640x640 (no detections), 6.8ms
Speed: 2.8ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
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 1 hand, 6.7ms
Speed: 2.6ms preprocess, 6.7ms inference, 1.2ms 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, 7.5ms
Speed: 2.8ms preprocess, 7.5ms 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 (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, 7.6ms
Speed: 2.6ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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71%|███████▏ | 10/14 [00:02<00:00, 5.00it/s]
79%|███████▊ | 11/14 [00:02<00:00, 5.02it/s]
86%|████████▌ | 12/14 [00:02<00:00, 5.02it/s]
93%|█████████▎| 13/14 [00:02<00:00, 5.03it/s]
100%|██████████| 14/14 [00:02<00:00, 5.04it/s]
100%|██████████| 14/14 [00:02<00:00, 4.95it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.