Version: v5.0
Input
Output
This example was created by evevalentine2017
Finished in 153.2 seconds
v5.0: Pulling from evevalentine2017/realisian
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
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607175607db9: Already exists
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d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
030de23c0760: Already exists
5c26b38d8aa7: Pull complete
ac5c0a663d52: Pull complete
f349d7cbac43: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (8k, RAW photo, best quality, masterpiece:1.2), ultra detailed, (photo realistic:1.4), (upper body shot:1.2), (RAW 8k photo) of 1 girl, wearing latex cyb dress, frilled dress, frills, gothic, bow, long sleeves, <lora:gothic_attire_style1_v1:0.7>, (latex:1.4), (RAW photo, best quality), (realistic, photo-realistic:1.4), masterpiece, an extremely delicate and beautiful, extremely detailed, 2k wallpaper, Amazing, finely detail, extremely detailed CG unity 8k wallpaper, ultra-detailed, highres, soft light, mascara, makeup, beautiful detailed woman, slender body, perfect anatomy, large breasts, cleavage, smiling, perfect anatomy, parted bangs, (black hair), long hair, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, cinematic lighting, standing in her room, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09>
Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), 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 1.77s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 4.2ms preprocess, 7.5ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
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0: 640x640 3 hands, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
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0: 640x640 2 faces, 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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0: 640x640 3 hands, 7.3ms
Speed: 3.1ms preprocess, 7.3ms 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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0: 640x640 1 face, 8.1ms
Speed: 3.1ms preprocess, 8.1ms inference, 2.3ms 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), 6.9ms
Speed: 3.0ms preprocess, 6.9ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms 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 (no detections), 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.0ms 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 153.2 seconds
v5.0: Pulling from evevalentine2017/realisian
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
030de23c0760: Already exists
5c26b38d8aa7: Pull complete
ac5c0a663d52: Pull complete
f349d7cbac43: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (8k, RAW photo, best quality, masterpiece:1.2), ultra detailed, (photo realistic:1.4), (upper body shot:1.2), (RAW 8k photo) of 1 girl, wearing latex cyb dress, frilled dress, frills, gothic, bow, long sleeves, <lora:gothic_attire_style1_v1:0.7>, (latex:1.4), (RAW photo, best quality), (realistic, photo-realistic:1.4), masterpiece, an extremely delicate and beautiful, extremely detailed, 2k wallpaper, Amazing, finely detail, extremely detailed CG unity 8k wallpaper, ultra-detailed, highres, soft light, mascara, makeup, beautiful detailed woman, slender body, perfect anatomy, large breasts, cleavage, smiling, perfect anatomy, parted bangs, (black hair), long hair, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, cinematic lighting, standing in her room, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09>
Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), 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 1.77s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 4.2ms preprocess, 7.5ms inference, 23.7ms 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 3 hands, 7.4ms
Speed: 3.1ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.41s
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0: 640x640 2 faces, 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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0: 640x640 3 hands, 7.3ms
Speed: 3.1ms preprocess, 7.3ms 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...
done in 0.0s
0: 640x640 1 face, 8.1ms
Speed: 3.1ms preprocess, 8.1ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/17 [00:00<?, ?it/s]
6%|β | 1/17 [00:00<00:07, 2.28it/s]
12%|ββ | 2/17 [00:00<00:06, 2.21it/s]
18%|ββ | 3/17 [00:01<00:06, 2.30it/s]
24%|βββ | 4/17 [00:01<00:05, 2.24it/s]
29%|βββ | 5/17 [00:02<00:05, 2.23it/s]
35%|ββββ | 6/17 [00:02<00:04, 2.22it/s]
41%|ββββ | 7/17 [00:03<00:04, 2.17it/s]
47%|βββββ | 8/17 [00:03<00:04, 2.20it/s]
53%|ββββββ | 9/17 [00:04<00:03, 2.18it/s]
59%|ββββββ | 10/17 [00:04<00:03, 2.30it/s]
65%|βββββββ | 11/17 [00:04<00:02, 2.35it/s]
71%|βββββββ | 12/17 [00:05<00:02, 2.35it/s]
76%|ββββββββ | 13/17 [00:05<00:01, 2.27it/s]
82%|βββββββββ | 14/17 [00:06<00:01, 2.27it/s]
88%|βββββββββ | 15/17 [00:06<00:00, 2.30it/s]
94%|ββββββββββ| 16/17 [00:06<00:00, 2.58it/s]
100%|ββββββββββ| 17/17 [00:07<00:00, 3.01it/s]
100%|ββββββββββ| 17/17 [00:07<00:00, 2.39it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.9ms
Speed: 3.0ms preprocess, 6.9ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/17 [00:00<?, ?it/s]
6%|β | 1/17 [00:00<00:06, 2.34it/s]
12%|ββ | 2/17 [00:00<00:06, 2.27it/s]
18%|ββ | 3/17 [00:01<00:05, 2.34it/s]
24%|βββ | 4/17 [00:01<00:05, 2.32it/s]
29%|βββ | 5/17 [00:02<00:05, 2.23it/s]
35%|ββββ | 6/17 [00:02<00:04, 2.24it/s]
41%|ββββ | 7/17 [00:03<00:04, 2.18it/s]
47%|βββββ | 8/17 [00:03<00:04, 2.21it/s]
53%|ββββββ | 9/17 [00:04<00:03, 2.19it/s]
59%|ββββββ | 10/17 [00:04<00:03, 2.27it/s]
65%|βββββββ | 11/17 [00:04<00:02, 2.35it/s]
71%|βββββββ | 12/17 [00:05<00:02, 2.32it/s]
76%|ββββββββ | 13/17 [00:05<00:01, 2.29it/s]
82%|βββββββββ | 14/17 [00:06<00:01, 2.30it/s]
88%|βββββββββ | 15/17 [00:06<00:00, 2.32it/s]
94%|ββββββββββ| 16/17 [00:06<00:00, 2.59it/s]
100%|ββββββββββ| 17/17 [00:07<00:00, 2.98it/s]
100%|ββββββββββ| 17/17 [00:07<00:00, 2.40it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 4 with 2nd settings.
Uploading outputs...
Finished.