Version: v1.5
Input
Output
This example was created by evevalentine2017
Finished in 44.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.2), <lora:smol02:0.4>, <lora:tangbohu-line_1.0:0.6>, 1 girl, adult woman, freckles, pink eyes, auburn braided hairstyle, ombre, Style-GravityMagic, solo, upper body, looking at viewer, detailed background, detailed face, (fallout theme:1.1), lightning flickering in eyes, wind-wizard, intense concentration, wearing sorcerer clothes, cloak billowing in the wind, spear of thunderous lightning, lightning illuminating the sky, whirlwind, tempest, ocean shore in background, dark lighting, epic atmosphere,<lora:more_details:0.8>
Full negative prompt: (human face), FastNegativeV2, (By bad artist -neg: 1), (worst quality, low quality: 1.4), (bad_prompt_version2: 0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), ng_deepnegative_v1_75t, (three hands: 1.3), (three legs: 1.2), (more than two hands: 1.3), (more than two legs: 1.2), label, watermark.
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:01<00:31, 1.18s/it]
7%|▋ | 2/28 [00:01<00:22, 1.14it/s]
11%|█ | 3/28 [00:02<00:19, 1.29it/s]
14%|█▍ | 4/28 [00:03<00:17, 1.37it/s]
18%|█▊ | 5/28 [00:03<00:16, 1.42it/s]
21%|██▏ | 6/28 [00:04<00:15, 1.45it/s]
25%|██▌ | 7/28 [00:05<00:14, 1.46it/s]
29%|██▊ | 8/28 [00:05<00:13, 1.47it/s]
32%|███▏ | 9/28 [00:06<00:12, 1.49it/s]
36%|███▌ | 10/28 [00:07<00:12, 1.49it/s]
39%|███▉ | 11/28 [00:07<00:11, 1.50it/s]
43%|████▎ | 12/28 [00:08<00:10, 1.50it/s]
46%|████▋ | 13/28 [00:09<00:10, 1.50it/s]
50%|█████ | 14/28 [00:09<00:09, 1.50it/s]
54%|█████▎ | 15/28 [00:10<00:08, 1.50it/s]
57%|█████▋ | 16/28 [00:11<00:07, 1.50it/s]
61%|██████ | 17/28 [00:11<00:07, 1.50it/s]
64%|██████▍ | 18/28 [00:12<00:06, 1.50it/s]
68%|██████▊ | 19/28 [00:13<00:06, 1.50it/s]
71%|███████▏ | 20/28 [00:13<00:05, 1.50it/s]
75%|███████▌ | 21/28 [00:14<00:04, 1.50it/s]
79%|███████▊ | 22/28 [00:15<00:04, 1.50it/s]
82%|████████▏ | 23/28 [00:15<00:03, 1.50it/s]
86%|████████▌ | 24/28 [00:16<00:02, 1.49it/s]
89%|████████▉ | 25/28 [00:17<00:02, 1.49it/s]
93%|█████████▎| 26/28 [00:17<00:01, 1.49it/s]
96%|█████████▋| 27/28 [00:18<00:00, 1.48it/s]
100%|██████████| 28/28 [00:19<00:00, 1.48it/s]
100%|██████████| 28/28 [00:19<00:00, 1.46it/s]
Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 6.1ms preprocess, 7.6ms inference, 46.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/16 [00:00<?, ?it/s]
6%|▋ | 1/16 [00:00<00:04, 3.00it/s]
12%|█▎ | 2/16 [00:00<00:03, 4.42it/s]
19%|█▉ | 3/16 [00:00<00:02, 5.17it/s]
25%|██▌ | 4/16 [00:00<00:02, 5.61it/s]
31%|███▏ | 5/16 [00:00<00:01, 5.87it/s]
38%|███▊ | 6/16 [00:01<00:01, 5.97it/s]
44%|████▍ | 7/16 [00:01<00:01, 6.02it/s]
50%|█████ | 8/16 [00:01<00:01, 6.05it/s]
56%|█████▋ | 9/16 [00:01<00:01, 6.15it/s]
62%|██████▎ | 10/16 [00:01<00:00, 6.23it/s]
69%|██████▉ | 11/16 [00:01<00:00, 6.29it/s]
75%|███████▌ | 12/16 [00:02<00:00, 6.29it/s]
81%|████████▏ | 13/16 [00:02<00:00, 6.24it/s]
88%|████████▊ | 14/16 [00:02<00:00, 6.26it/s]
94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s]
100%|██████████| 16/16 [00:02<00:00, 6.35it/s]
100%|██████████| 16/16 [00:02<00:00, 5.93it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/16 [00:00<?, ?it/s]
6%|▋ | 1/16 [00:00<00:02, 6.80it/s]
12%|█▎ | 2/16 [00:00<00:02, 6.59it/s]
19%|█▉ | 3/16 [00:00<00:01, 6.51it/s]
25%|██▌ | 4/16 [00:00<00:01, 6.49it/s]
31%|███▏ | 5/16 [00:00<00:01, 6.49it/s]
38%|███▊ | 6/16 [00:00<00:01, 6.37it/s]
44%|████▍ | 7/16 [00:01<00:01, 6.32it/s]
50%|█████ | 8/16 [00:01<00:01, 6.34it/s]
56%|█████▋ | 9/16 [00:01<00:01, 6.24it/s]
62%|██████▎ | 10/16 [00:01<00:00, 6.34it/s]
69%|██████▉ | 11/16 [00:01<00:00, 6.36it/s]
75%|███████▌ | 12/16 [00:01<00:00, 6.33it/s]
81%|████████▏ | 13/16 [00:02<00:00, 6.28it/s]
88%|████████▊ | 14/16 [00:02<00:00, 6.27it/s]
94%|█████████▍| 15/16 [00:02<00:00, 6.28it/s]
100%|██████████| 16/16 [00:02<00:00, 6.34it/s]
100%|██████████| 16/16 [00:02<00:00, 6.36it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/16 [00:00<?, ?it/s]
6%|▋ | 1/16 [00:00<00:02, 7.15it/s]
12%|█▎ | 2/16 [00:00<00:02, 6.74it/s]
19%|█▉ | 3/16 [00:00<00:01, 6.62it/s]
25%|██▌ | 4/16 [00:00<00:01, 6.56it/s]
31%|███▏ | 5/16 [00:00<00:01, 6.52it/s]
38%|███▊ | 6/16 [00:00<00:01, 6.38it/s]
44%|████▍ | 7/16 [00:01<00:01, 6.28it/s]
50%|█████ | 8/16 [00:01<00:01, 6.30it/s]
56%|█████▋ | 9/16 [00:01<00:01, 6.33it/s]
62%|██████▎ | 10/16 [00:01<00:00, 6.38it/s]
69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s]
75%|███████▌ | 12/16 [00:01<00:00, 6.23it/s]
81%|████████▏ | 13/16 [00:02<00:00, 6.28it/s]
88%|████████▊ | 14/16 [00:02<00:00, 6.27it/s]
94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s]
100%|██████████| 16/16 [00:02<00:00, 6.33it/s]
100%|██████████| 16/16 [00:02<00:00, 6.38it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/16 [00:00<?, ?it/s]
6%|▋ | 1/16 [00:00<00:02, 6.73it/s]
12%|█▎ | 2/16 [00:00<00:02, 6.52it/s]
19%|█▉ | 3/16 [00:00<00:02, 6.50it/s]
25%|██▌ | 4/16 [00:00<00:01, 6.48it/s]
31%|███▏ | 5/16 [00:00<00:01, 6.47it/s]
38%|███▊ | 6/16 [00:00<00:01, 6.34it/s]
44%|████▍ | 7/16 [00:01<00:01, 6.28it/s]
50%|█████ | 8/16 [00:01<00:01, 6.29it/s]
56%|█████▋ | 9/16 [00:01<00:01, 6.30it/s]
62%|██████▎ | 10/16 [00:01<00:00, 6.33it/s]
69%|██████▉ | 11/16 [00:01<00:00, 6.38it/s]
75%|███████▌ | 12/16 [00:01<00:00, 6.35it/s]
81%|████████▏ | 13/16 [00:02<00:00, 6.32it/s]
88%|████████▊ | 14/16 [00:02<00:00, 6.30it/s]
94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s]
100%|██████████| 16/16 [00:02<00:00, 6.33it/s]
100%|██████████| 16/16 [00:02<00:00, 6.36it/s]
Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.45s
Move latents to cpu...
done in 0.22s
Finished.
This example was created by evevalentine2017
Finished in 44.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.2), <lora:smol02:0.4>, <lora:tangbohu-line_1.0:0.6>, 1 girl, adult woman, freckles, pink eyes, auburn braided hairstyle, ombre, Style-GravityMagic, solo, upper body, looking at viewer, detailed background, detailed face, (fallout theme:1.1), lightning flickering in eyes, wind-wizard, intense concentration, wearing sorcerer clothes, cloak billowing in the wind, spear of thunderous lightning, lightning illuminating the sky, whirlwind, tempest, ocean shore in background, dark lighting, epic atmosphere,<lora:more_details:0.8>
Full negative prompt: (human face), FastNegativeV2, (By bad artist -neg: 1), (worst quality, low quality: 1.4), (bad_prompt_version2: 0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), ng_deepnegative_v1_75t, (three hands: 1.3), (three legs: 1.2), (more than two hands: 1.3), (more than two legs: 1.2), label, watermark.
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:01<00:31, 1.18s/it]
7%|▋ | 2/28 [00:01<00:22, 1.14it/s]
11%|█ | 3/28 [00:02<00:19, 1.29it/s]
14%|█▍ | 4/28 [00:03<00:17, 1.37it/s]
18%|█▊ | 5/28 [00:03<00:16, 1.42it/s]
21%|██▏ | 6/28 [00:04<00:15, 1.45it/s]
25%|██▌ | 7/28 [00:05<00:14, 1.46it/s]
29%|██▊ | 8/28 [00:05<00:13, 1.47it/s]
32%|███▏ | 9/28 [00:06<00:12, 1.49it/s]
36%|███▌ | 10/28 [00:07<00:12, 1.49it/s]
39%|███▉ | 11/28 [00:07<00:11, 1.50it/s]
43%|████▎ | 12/28 [00:08<00:10, 1.50it/s]
46%|████▋ | 13/28 [00:09<00:10, 1.50it/s]
50%|█████ | 14/28 [00:09<00:09, 1.50it/s]
54%|█████▎ | 15/28 [00:10<00:08, 1.50it/s]
57%|█████▋ | 16/28 [00:11<00:07, 1.50it/s]
61%|██████ | 17/28 [00:11<00:07, 1.50it/s]
64%|██████▍ | 18/28 [00:12<00:06, 1.50it/s]
68%|██████▊ | 19/28 [00:13<00:06, 1.50it/s]
71%|███████▏ | 20/28 [00:13<00:05, 1.50it/s]
75%|███████▌ | 21/28 [00:14<00:04, 1.50it/s]
79%|███████▊ | 22/28 [00:15<00:04, 1.50it/s]
82%|████████▏ | 23/28 [00:15<00:03, 1.50it/s]
86%|████████▌ | 24/28 [00:16<00:02, 1.49it/s]
89%|████████▉ | 25/28 [00:17<00:02, 1.49it/s]
93%|█████████▎| 26/28 [00:17<00:01, 1.49it/s]
96%|█████████▋| 27/28 [00:18<00:00, 1.48it/s]
100%|██████████| 28/28 [00:19<00:00, 1.48it/s]
100%|██████████| 28/28 [00:19<00:00, 1.46it/s]
Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 6.1ms preprocess, 7.6ms inference, 46.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/16 [00:00<?, ?it/s]
6%|▋ | 1/16 [00:00<00:04, 3.00it/s]
12%|█▎ | 2/16 [00:00<00:03, 4.42it/s]
19%|█▉ | 3/16 [00:00<00:02, 5.17it/s]
25%|██▌ | 4/16 [00:00<00:02, 5.61it/s]
31%|███▏ | 5/16 [00:00<00:01, 5.87it/s]
38%|███▊ | 6/16 [00:01<00:01, 5.97it/s]
44%|████▍ | 7/16 [00:01<00:01, 6.02it/s]
50%|█████ | 8/16 [00:01<00:01, 6.05it/s]
56%|█████▋ | 9/16 [00:01<00:01, 6.15it/s]
62%|██████▎ | 10/16 [00:01<00:00, 6.23it/s]
69%|██████▉ | 11/16 [00:01<00:00, 6.29it/s]
75%|███████▌ | 12/16 [00:02<00:00, 6.29it/s]
81%|████████▏ | 13/16 [00:02<00:00, 6.24it/s]
88%|████████▊ | 14/16 [00:02<00:00, 6.26it/s]
94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s]
100%|██████████| 16/16 [00:02<00:00, 6.35it/s]
100%|██████████| 16/16 [00:02<00:00, 5.93it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/16 [00:00<?, ?it/s]
6%|▋ | 1/16 [00:00<00:02, 6.80it/s]
12%|█▎ | 2/16 [00:00<00:02, 6.59it/s]
19%|█▉ | 3/16 [00:00<00:01, 6.51it/s]
25%|██▌ | 4/16 [00:00<00:01, 6.49it/s]
31%|███▏ | 5/16 [00:00<00:01, 6.49it/s]
38%|███▊ | 6/16 [00:00<00:01, 6.37it/s]
44%|████▍ | 7/16 [00:01<00:01, 6.32it/s]
50%|█████ | 8/16 [00:01<00:01, 6.34it/s]
56%|█████▋ | 9/16 [00:01<00:01, 6.24it/s]
62%|██████▎ | 10/16 [00:01<00:00, 6.34it/s]
69%|██████▉ | 11/16 [00:01<00:00, 6.36it/s]
75%|███████▌ | 12/16 [00:01<00:00, 6.33it/s]
81%|████████▏ | 13/16 [00:02<00:00, 6.28it/s]
88%|████████▊ | 14/16 [00:02<00:00, 6.27it/s]
94%|█████████▍| 15/16 [00:02<00:00, 6.28it/s]
100%|██████████| 16/16 [00:02<00:00, 6.34it/s]
100%|██████████| 16/16 [00:02<00:00, 6.36it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/16 [00:00<?, ?it/s]
6%|▋ | 1/16 [00:00<00:02, 7.15it/s]
12%|█▎ | 2/16 [00:00<00:02, 6.74it/s]
19%|█▉ | 3/16 [00:00<00:01, 6.62it/s]
25%|██▌ | 4/16 [00:00<00:01, 6.56it/s]
31%|███▏ | 5/16 [00:00<00:01, 6.52it/s]
38%|███▊ | 6/16 [00:00<00:01, 6.38it/s]
44%|████▍ | 7/16 [00:01<00:01, 6.28it/s]
50%|█████ | 8/16 [00:01<00:01, 6.30it/s]
56%|█████▋ | 9/16 [00:01<00:01, 6.33it/s]
62%|██████▎ | 10/16 [00:01<00:00, 6.38it/s]
69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s]
75%|███████▌ | 12/16 [00:01<00:00, 6.23it/s]
81%|████████▏ | 13/16 [00:02<00:00, 6.28it/s]
88%|████████▊ | 14/16 [00:02<00:00, 6.27it/s]
94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s]
100%|██████████| 16/16 [00:02<00:00, 6.33it/s]
100%|██████████| 16/16 [00:02<00:00, 6.38it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name smol02
Couldn't find network with name tangbohu-line_1.0
0%| | 0/16 [00:00<?, ?it/s]
6%|▋ | 1/16 [00:00<00:02, 6.73it/s]
12%|█▎ | 2/16 [00:00<00:02, 6.52it/s]
19%|█▉ | 3/16 [00:00<00:02, 6.50it/s]
25%|██▌ | 4/16 [00:00<00:01, 6.48it/s]
31%|███▏ | 5/16 [00:00<00:01, 6.47it/s]
38%|███▊ | 6/16 [00:00<00:01, 6.34it/s]
44%|████▍ | 7/16 [00:01<00:01, 6.28it/s]
50%|█████ | 8/16 [00:01<00:01, 6.29it/s]
56%|█████▋ | 9/16 [00:01<00:01, 6.30it/s]
62%|██████▎ | 10/16 [00:01<00:00, 6.33it/s]
69%|██████▉ | 11/16 [00:01<00:00, 6.38it/s]
75%|███████▌ | 12/16 [00:01<00:00, 6.35it/s]
81%|████████▏ | 13/16 [00:02<00:00, 6.32it/s]
88%|████████▊ | 14/16 [00:02<00:00, 6.30it/s]
94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s]
100%|██████████| 16/16 [00:02<00:00, 6.33it/s]
100%|██████████| 16/16 [00:02<00:00, 6.36it/s]
Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.45s
Move latents to cpu...
done in 0.22s
Finished.