Version: v8.0
Input
Output
This example was created by evevalentine2017
Finished in 103.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: (girl:1.2), solo, (ginger curly long hair:1.1), brown eyes, wreath of daisies on her head, sitting in a field of daisies, smile, (fruit basket:1.1), blue shorts, red shirt, RAW,photographic, photo shadows, realistic, absurdres, aesthetic, elegant, <lora:add_saturation:-0.95>
Full negative prompt: human hair, human eyes, human nose, more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 22.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.7ms 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 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 8.7ms
Speed: 2.6ms preprocess, 8.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 103.9 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: (girl:1.2), solo, (ginger curly long hair:1.1), brown eyes, wreath of daisies on her head, sitting in a field of daisies, smile, (fruit basket:1.1), blue shorts, red shirt, RAW,photographic, photo shadows, realistic, absurdres, aesthetic, elegant, <lora:add_saturation:-0.95>
Full negative prompt: human hair, human eyes, human nose, more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 22.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.7ms 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 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
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69%|██████▉ | 9/13 [00:04<00:01, 2.29it/s]
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100%|██████████| 13/13 [00:05<00:00, 3.01it/s]
100%|██████████| 13/13 [00:05<00:00, 2.42it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 13/13 [00:05<00:00, 3.06it/s]
100%|██████████| 13/13 [00:05<00:00, 2.50it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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69%|██████▉ | 9/13 [00:04<00:01, 2.29it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.33it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.32it/s]
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100%|██████████| 13/13 [00:05<00:00, 3.00it/s]
100%|██████████| 13/13 [00:05<00:00, 2.42it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 8.7ms
Speed: 2.6ms preprocess, 8.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/13 [00:00<?, ?it/s]
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69%|██████▉ | 9/13 [00:03<00:01, 2.35it/s]
77%|███████▋ | 10/13 [00:04<00:01, 2.39it/s]
85%|████████▍ | 11/13 [00:04<00:00, 2.39it/s]
92%|█████████▏| 12/13 [00:05<00:00, 2.63it/s]
100%|██████████| 13/13 [00:05<00:00, 3.08it/s]
100%|██████████| 13/13 [00:05<00:00, 2.49it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.