Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 119.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:yomama_jaw_titan-10:0.8>, yomama_jaw_titan, open mouth, sharp teeth, head focus, blonde hair, night scene, glowing eyes,
Full negative prompt: ((girl)), ((black hair:2)), ((portrait:2)), ((focus on face:2)), nsfw, 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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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.94s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 3.8ms preprocess, 7.7ms inference, 22.8ms 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, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.9ms 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, 7.4ms
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...
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0: 640x640 1 hand, 9.8ms
Speed: 3.2ms preprocess, 9.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.6ms 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 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.9ms preprocess, 7.2ms 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 119.1 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: <lora:yomama_jaw_titan-10:0.8>, yomama_jaw_titan, open mouth, sharp teeth, head focus, blonde hair, night scene, glowing eyes,
Full negative prompt: ((girl)), ((black hair:2)), ((portrait:2)), ((focus on face:2)), nsfw, 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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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 1.94s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.7ms
Speed: 3.8ms preprocess, 7.7ms inference, 22.8ms 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 1 hand, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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65%|██████▍ | 11/17 [00:04<00:02, 2.78it/s]
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100%|██████████| 17/17 [00:05<00:00, 2.85it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s]
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71%|███████ | 12/17 [00:04<00:01, 2.72it/s]
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100%|██████████| 17/17 [00:06<00:00, 2.82it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 9.8ms
Speed: 3.2ms preprocess, 9.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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47%|████▋ | 8/17 [00:03<00:03, 2.55it/s]
53%|█████▎ | 9/17 [00:03<00:03, 2.52it/s]
59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s]
65%|██████▍ | 11/17 [00:04<00:02, 2.74it/s]
71%|███████ | 12/17 [00:04<00:01, 2.72it/s]
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82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s]
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100%|██████████| 17/17 [00:06<00:00, 3.68it/s]
100%|██████████| 17/17 [00:06<00:00, 2.81it/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: 2.6ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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53%|█████▎ | 9/17 [00:03<00:03, 2.59it/s]
59%|█████▉ | 10/17 [00:03<00:02, 2.73it/s]
65%|██████▍ | 11/17 [00:04<00:02, 2.81it/s]
71%|███████ | 12/17 [00:04<00:01, 2.79it/s]
76%|███████▋ | 13/17 [00:04<00:01, 2.72it/s]
82%|████████▏ | 14/17 [00:05<00:01, 2.70it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.69it/s]
100%|██████████| 17/17 [00:05<00:00, 2.86it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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24%|██▎ | 4/17 [00:01<00:04, 2.66it/s]
29%|██▉ | 5/17 [00:01<00:04, 2.59it/s]
35%|███▌ | 6/17 [00:02<00:04, 2.59it/s]
41%|████ | 7/17 [00:02<00:03, 2.53it/s]
47%|████▋ | 8/17 [00:03<00:03, 2.56it/s]
53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s]
59%|█████▉ | 10/17 [00:03<00:02, 2.67it/s]
65%|██████▍ | 11/17 [00:04<00:02, 2.76it/s]
71%|███████ | 12/17 [00:04<00:01, 2.74it/s]
76%|███████▋ | 13/17 [00:04<00:01, 2.67it/s]
82%|████████▏ | 14/17 [00:05<00:01, 2.68it/s]
88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s]
94%|█████████▍| 16/17 [00:05<00:00, 3.06it/s]
100%|██████████| 17/17 [00:06<00:00, 3.67it/s]
100%|██████████| 17/17 [00:06<00:00, 2.82it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
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41%|████ | 7/17 [00:02<00:03, 2.51it/s]
47%|████▋ | 8/17 [00:03<00:03, 2.55it/s]
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59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s]
65%|██████▍ | 11/17 [00:04<00:02, 2.74it/s]
71%|███████ | 12/17 [00:04<00:01, 2.71it/s]
76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s]
82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s]
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100%|██████████| 17/17 [00:06<00:00, 3.69it/s]
100%|██████████| 17/17 [00:06<00:00, 2.81it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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12%|█▏ | 2/17 [00:00<00:05, 2.61it/s]
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24%|██▎ | 4/17 [00:01<00:04, 2.63it/s]
29%|██▉ | 5/17 [00:01<00:04, 2.59it/s]
35%|███▌ | 6/17 [00:02<00:04, 2.59it/s]
41%|████ | 7/17 [00:02<00:03, 2.53it/s]
47%|████▋ | 8/17 [00:03<00:03, 2.53it/s]
53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s]
59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s]
65%|██████▍ | 11/17 [00:04<00:02, 2.73it/s]
71%|███████ | 12/17 [00:04<00:01, 2.72it/s]
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82%|████████▏ | 14/17 [00:05<00:01, 2.66it/s]
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100%|██████████| 17/17 [00:06<00:00, 3.67it/s]
100%|██████████| 17/17 [00:06<00:00, 2.80it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.