Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 89.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: woman, black hair, short hair, (best quality:1.4), (masterpiece:1.4), high res, realistic, glasses, black dress, 1girl, (skindentation:1.3), (blushing:1.2), (detailed:1.3), (retro diner, restaurant:1.1), cleavage, comfy, cosy, looking at viewer, detailed skin, latex, white skirt,, <lora:add_saturation:-0.2>
Full negative prompt: ng_deepnegative_v1_75t, badhandv4, flat chest, (worst quality, low quality, normal quality, text, signature, watermark:2), lowres, bad anatomy, normal quality, (monochrome, grayscale, strabismus, clothes
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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 1.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 29.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms 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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Move latents to cpu...
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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, 10.5ms
Speed: 3.4ms preprocess, 10.5ms inference, 1.7ms 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, 12.7ms
Speed: 4.0ms preprocess, 12.7ms 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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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 9.9ms
Speed: 2.6ms preprocess, 9.9ms inference, 1.5ms 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 1 hand, 7.1ms
Speed: 2.7ms 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.7ms preprocess, 7.6ms inference, 1.4ms 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, 7.1ms
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 0.41s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 89.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: woman, black hair, short hair, (best quality:1.4), (masterpiece:1.4), high res, realistic, glasses, black dress, 1girl, (skindentation:1.3), (blushing:1.2), (detailed:1.3), (retro diner, restaurant:1.1), cleavage, comfy, cosy, looking at viewer, detailed skin, latex, white skirt,, <lora:add_saturation:-0.2>
Full negative prompt: ng_deepnegative_v1_75t, badhandv4, flat chest, (worst quality, low quality, normal quality, text, signature, watermark:2), lowres, bad anatomy, normal quality, (monochrome, grayscale, strabismus, clothes
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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 1.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 29.0ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.43s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms 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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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 10.5ms
Speed: 3.4ms preprocess, 10.5ms inference, 1.7ms 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, 12.7ms
Speed: 4.0ms preprocess, 12.7ms inference, 2.8ms 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 1 face, 9.9ms
Speed: 2.6ms preprocess, 9.9ms inference, 1.5ms 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 1 hand, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 9/21 [00:01<00:01, 6.33it/s]
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81%|████████ | 17/21 [00:02<00:00, 6.33it/s]
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100%|██████████| 21/21 [00:03<00:00, 6.27it/s]
100%|██████████| 21/21 [00:03<00:00, 6.32it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.7ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 9/21 [00:01<00:01, 6.34it/s]
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57%|█████▋ | 12/21 [00:01<00:01, 6.35it/s]
62%|██████▏ | 13/21 [00:02<00:01, 6.34it/s]
67%|██████▋ | 14/21 [00:02<00:01, 6.30it/s]
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76%|███████▌ | 16/21 [00:02<00:00, 6.19it/s]
81%|████████ | 17/21 [00:02<00:00, 6.25it/s]
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90%|█████████ | 19/21 [00:02<00:00, 6.31it/s]
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100%|██████████| 21/21 [00:03<00:00, 6.26it/s]
100%|██████████| 21/21 [00:03<00:00, 6.35it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 9/21 [00:01<00:01, 6.29it/s]
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52%|█████▏ | 11/21 [00:01<00:01, 6.39it/s]
57%|█████▋ | 12/21 [00:01<00:01, 6.36it/s]
62%|██████▏ | 13/21 [00:02<00:01, 6.18it/s]
67%|██████▋ | 14/21 [00:02<00:01, 6.18it/s]
71%|███████▏ | 15/21 [00:02<00:00, 6.20it/s]
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81%|████████ | 17/21 [00:02<00:00, 6.30it/s]
86%|████████▌ | 18/21 [00:02<00:00, 6.34it/s]
90%|█████████ | 19/21 [00:02<00:00, 6.33it/s]
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100%|██████████| 21/21 [00:03<00:00, 6.34it/s]
100%|██████████| 21/21 [00:03<00:00, 6.36it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0%| | 0/21 [00:00<?, ?it/s]
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29%|██▊ | 6/21 [00:00<00:02, 6.37it/s]
33%|███▎ | 7/21 [00:01<00:02, 6.18it/s]
38%|███▊ | 8/21 [00:01<00:02, 6.23it/s]
43%|████▎ | 9/21 [00:01<00:01, 6.33it/s]
48%|████▊ | 10/21 [00:01<00:01, 6.37it/s]
52%|█████▏ | 11/21 [00:01<00:01, 6.33it/s]
57%|█████▋ | 12/21 [00:01<00:01, 6.28it/s]
62%|██████▏ | 13/21 [00:02<00:01, 6.24it/s]
67%|██████▋ | 14/21 [00:02<00:01, 6.26it/s]
71%|███████▏ | 15/21 [00:02<00:00, 6.31it/s]
76%|███████▌ | 16/21 [00:02<00:00, 6.34it/s]
81%|████████ | 17/21 [00:02<00:00, 6.36it/s]
86%|████████▌ | 18/21 [00:02<00:00, 6.32it/s]
90%|█████████ | 19/21 [00:02<00:00, 6.31it/s]
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100%|██████████| 21/21 [00:03<00:00, 6.24it/s]
100%|██████████| 21/21 [00:03<00:00, 6.33it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.