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Black Caps with Otoko No Ko
otoko-no-ko:v1.0
evevalentine2017
evevalentine2017
·
12/21/2023
399
Input
prompt
Specify things to see in the output
best quality, detailed background, girl, euro_street, random_wear, cap, <lora:hair_over_eyes:1>, <lora:FaceBeauty_qinglong_V3:1.5>,
negative_prompt
Specify things to not see in the output
(low quality, worst quality), (bad anatomy:1.4), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, child, underage, child, underage, nipples, nsfw, BadNegAnatomyV1-neg, more than 2 legs, more than 2 feet, more than 2 shoes, more than 2 sneakers
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3795721554
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
hair_over_eyes.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
Asian-Less-Neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BadNegAnatomyV1-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/a974387b3666461bac40268da25b6a70/00000-3795721554.webp
https://files.tungsten.run/uploads/f3f4cf85753a4ab287c7196fe0be02c1/00001-3795721555.webp
https://files.tungsten.run/uploads/fe93903044f849b19b78644e8a0d6134/00002-3795721556.webp
https://files.tungsten.run/uploads/69381a9ba11c414e994e2a3a3fdff15a/00003-3795721557.webp
Finished in 164.6 seconds
Setting up the model... Processing... Full prompt: best quality, detailed background, girl, euro_street, random_wear, cap, <lora:hair_over_eyes:1>, <lora:FaceBeauty_qinglong_V3:1.5>, Full negative prompt: (low quality, worst quality), (bad anatomy:1.4), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, child, underage, child, underage, nipples, nsfw, BadNegAnatomyV1-neg, more than 2 legs, more than 2 feet, more than 2 shoes, more than 2 sneakers 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:29, 1.83s/it] 4%|▍ | 2/50 [00:03<01:24, 1.77s/it] 6%|▌ | 3/50 [00:05<01:18, 1.66s/it] 8%|▊ | 4/50 [00:06<01:16, 1.67s/it] 10%|█ | 5/50 [00:08<01:15, 1.67s/it] 12%|█▏ | 6/50 [00:10<01:13, 1.67s/it] 14%|█▍ | 7/50 [00:11<01:11, 1.67s/it] 16%|█▌ | 8/50 [00:13<01:12, 1.73s/it] 18%|█▊ | 9/50 [00:15<01:11, 1.75s/it] 20%|██ | 10/50 [00:17<01:09, 1.74s/it] 22%|██▏ | 11/50 [00:18<01:08, 1.75s/it] 24%|██▍ | 12/50 [00:20<01:06, 1.74s/it] 26%|██▌ | 13/50 [00:22<01:05, 1.76s/it] 28%|██▊ | 14/50 [00:24<01:02, 1.73s/it] 30%|███ | 15/50 [00:25<01:00, 1.72s/it] 32%|███▏ | 16/50 [00:27<00:57, 1.70s/it] 34%|███▍ | 17/50 [00:29<00:56, 1.70s/it] 36%|███▌ | 18/50 [00:30<00:55, 1.73s/it] 38%|███▊ | 19/50 [00:32<00:52, 1.68s/it] 40%|████ | 20/50 [00:34<00:51, 1.71s/it] 42%|████▏ | 21/50 [00:35<00:49, 1.70s/it] 44%|████▍ | 22/50 [00:37<00:46, 1.68s/it] 46%|████▌ | 23/50 [00:39<00:43, 1.63s/it] 48%|████▊ | 24/50 [00:40<00:42, 1.65s/it] 50%|█████ | 25/50 [00:42<00:39, 1.58s/it] 52%|█████▏ | 26/50 [00:43<00:37, 1.58s/it] 54%|█████▍ | 27/50 [00:45<00:36, 1.57s/it] 56%|█████▌ | 28/50 [00:47<00:35, 1.61s/it] 58%|█████▊ | 29/50 [00:48<00:33, 1.61s/it] 60%|██████ | 30/50 [00:50<00:33, 1.67s/it] 62%|██████▏ | 31/50 [00:51<00:30, 1.60s/it] 64%|██████▍ | 32/50 [00:53<00:27, 1.56s/it] 66%|██████▌ | 33/50 [00:54<00:26, 1.58s/it] 68%|██████▊ | 34/50 [00:56<00:24, 1.54s/it] 70%|███████ | 35/50 [00:57<00:23, 1.54s/it] 72%|███████▏ | 36/50 [00:59<00:20, 1.47s/it] 74%|███████▍ | 37/50 [01:00<00:18, 1.42s/it] 76%|███████▌ | 38/50 [01:01<00:16, 1.40s/it] 78%|███████▊ | 39/50 [01:03<00:16, 1.47s/it] 80%|████████ | 40/50 [01:05<00:14, 1.46s/it] 82%|████████▏ | 41/50 [01:06<00:13, 1.52s/it] 84%|████████▍ | 42/50 [01:08<00:11, 1.49s/it] 86%|████████▌ | 43/50 [01:09<00:10, 1.46s/it] 88%|████████▊ | 44/50 [01:11<00:09, 1.52s/it] 90%|█████████ | 45/50 [01:12<00:07, 1.49s/it] 92%|█████████▏| 46/50 [01:13<00:05, 1.43s/it] 94%|█████████▍| 47/50 [01:15<00:04, 1.38s/it] 96%|█████████▌| 48/50 [01:16<00:02, 1.38s/it] 98%|█████████▊| 49/50 [01:17<00:01, 1.19s/it] 100%|██████████| 50/50 [01:17<00:00, 1.02s/it] 100%|██████████| 50/50 [01:17<00:00, 1.56s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.2ms preprocess, 7.6ms inference, 24.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:14, 1.93it/s] 7%|▋ | 2/28 [00:00<00:11, 2.18it/s] 11%|█ | 3/28 [00:01<00:10, 2.46it/s] 14%|█▍ | 4/28 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3.51it/s] 100%|██████████| 28/28 [00:09<00:00, 4.13it/s] 100%|██████████| 28/28 [00:09<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.64it/s] 7%|▋ | 2/28 [00:00<00:10, 2.46it/s] 11%|█ | 3/28 [00:01<00:09, 2.62it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.56it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.59it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.50it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.52it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.42it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.53it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.62it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.59it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.64it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.64it/s] 50%|█████ | 14/28 [00:05<00:05, 2.76it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.85it/s] 57%|█████▋ | 16/28 [00:06<00:04, 2.90it/s] 61%|██████ | 17/28 [00:06<00:04, 2.75it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.77it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.66it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.75it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.81it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.70it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.74it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.85it/s] 89%|████████▉ | 25/28 [00:09<00:01, 2.98it/s] 93%|█████████▎| 26/28 [00:09<00:00, 2.98it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.48it/s] 100%|██████████| 28/28 [00:09<00:00, 4.11it/s] 100%|██████████| 28/28 [00:09<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.67it/s] 7%|▋ | 2/28 [00:00<00:10, 2.50it/s] 11%|█ | 3/28 [00:01<00:09, 2.65it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.61it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.62it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.51it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.52it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.39it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.52it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.59it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.56it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.63it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.63it/s] 50%|█████ | 14/28 [00:05<00:05, 2.79it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.90it/s] 57%|█████▋ | 16/28 [00:06<00:04, 2.92it/s] 61%|██████ | 17/28 [00:06<00:03, 2.81it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.83it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.70it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.78it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.81it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.71it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.76it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.84it/s] 89%|████████▉ | 25/28 [00:09<00:01, 2.97it/s] 93%|█████████▎| 26/28 [00:09<00:00, 2.98it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.48it/s] 100%|██████████| 28/28 [00:09<00:00, 4.11it/s] 100%|██████████| 28/28 [00:09<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.61it/s] 7%|▋ | 2/28 [00:00<00:10, 2.48it/s] 11%|█ | 3/28 [00:01<00:09, 2.66it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.63it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.64it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.53it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.53it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.41it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.53it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.63it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.59it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.65it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.64it/s] 50%|█████ | 14/28 [00:05<00:05, 2.75it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.87it/s] 57%|█████▋ | 16/28 [00:05<00:04, 2.91it/s] 61%|██████ | 17/28 [00:06<00:03, 2.79it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.82it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.70it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.78it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.83it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.71it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.74it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.84it/s] 89%|████████▉ | 25/28 [00:09<00:01, 2.98it/s] 93%|█████████▎| 26/28 [00:09<00:00, 2.99it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.49it/s] 100%|██████████| 28/28 [00:09<00:00, 4.12it/s] 100%|██████████| 28/28 [00:09<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.61it/s] 7%|▋ | 2/28 [00:00<00:10, 2.46it/s] 11%|█ | 3/28 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96%|█████████▋| 27/28 [00:09<00:00, 3.49it/s] 100%|██████████| 28/28 [00:09<00:00, 4.11it/s] 100%|██████████| 28/28 [00:09<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.61it/s] 7%|▋ | 2/28 [00:00<00:10, 2.47it/s] 11%|█ | 3/28 [00:01<00:09, 2.64it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.62it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.64it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.50it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.52it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.41it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.53it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.63it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.59it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.66it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.66it/s] 50%|█████ | 14/28 [00:05<00:04, 2.81it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.92it/s] 57%|█████▋ | 16/28 [00:05<00:04, 2.96it/s] 61%|██████ | 17/28 [00:06<00:03, 2.82it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.83it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.70it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.72it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.79it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.71it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.77it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.88it/s] 89%|████████▉ | 25/28 [00:09<00:00, 3.01it/s] 93%|█████████▎| 26/28 [00:09<00:00, 3.01it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.50it/s] 100%|██████████| 28/28 [00:09<00:00, 4.11it/s] 100%|██████████| 28/28 [00:09<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.63it/s] 7%|▋ | 2/28 [00:00<00:10, 2.46it/s] 11%|█ | 3/28 [00:01<00:09, 2.63it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.60it/s] 18%|█▊ | 5/28 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prompt
Specify things to see in the output
best quality, detailed background, girl, euro_street, random_wear, cap, <lora:hair_over_eyes:1>, <lora:FaceBeauty_qinglong_V3:1.5>,
negative_prompt
Specify things to not see in the output
(low quality, worst quality), (bad anatomy:1.4), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, child, underage, child, underage, nipples, nsfw, BadNegAnatomyV1-neg, more than 2 legs, more than 2 feet, more than 2 shoes, more than 2 sneakers
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3795721554
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
hair_over_eyes.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
Asian-Less-Neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BadNegAnatomyV1-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/a974387b3666461bac40268da25b6a70/00000-3795721554.webp
https://files.tungsten.run/uploads/f3f4cf85753a4ab287c7196fe0be02c1/00001-3795721555.webp
https://files.tungsten.run/uploads/fe93903044f849b19b78644e8a0d6134/00002-3795721556.webp
https://files.tungsten.run/uploads/69381a9ba11c414e994e2a3a3fdff15a/00003-3795721557.webp
Finished in 164.6 seconds
Setting up the model... Processing... Full prompt: best quality, detailed background, girl, euro_street, random_wear, cap, <lora:hair_over_eyes:1>, <lora:FaceBeauty_qinglong_V3:1.5>, Full negative prompt: (low quality, worst quality), (bad anatomy:1.4), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, child, underage, child, underage, nipples, nsfw, BadNegAnatomyV1-neg, more than 2 legs, more than 2 feet, more than 2 shoes, more than 2 sneakers 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:29, 1.83s/it] 4%|▍ | 2/50 [00:03<01:24, 1.77s/it] 6%|▌ | 3/50 [00:05<01:18, 1.66s/it] 8%|▊ | 4/50 [00:06<01:16, 1.67s/it] 10%|█ | 5/50 [00:08<01:15, 1.67s/it] 12%|█▏ | 6/50 [00:10<01:13, 1.67s/it] 14%|█▍ | 7/50 [00:11<01:11, 1.67s/it] 16%|█▌ | 8/50 [00:13<01:12, 1.73s/it] 18%|█▊ | 9/50 [00:15<01:11, 1.75s/it] 20%|██ | 10/50 [00:17<01:09, 1.74s/it] 22%|██▏ | 11/50 [00:18<01:08, 1.75s/it] 24%|██▍ | 12/50 [00:20<01:06, 1.74s/it] 26%|██▌ | 13/50 [00:22<01:05, 1.76s/it] 28%|██▊ | 14/50 [00:24<01:02, 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76%|███████▌ | 38/50 [01:01<00:16, 1.40s/it] 78%|███████▊ | 39/50 [01:03<00:16, 1.47s/it] 80%|████████ | 40/50 [01:05<00:14, 1.46s/it] 82%|████████▏ | 41/50 [01:06<00:13, 1.52s/it] 84%|████████▍ | 42/50 [01:08<00:11, 1.49s/it] 86%|████████▌ | 43/50 [01:09<00:10, 1.46s/it] 88%|████████▊ | 44/50 [01:11<00:09, 1.52s/it] 90%|█████████ | 45/50 [01:12<00:07, 1.49s/it] 92%|█████████▏| 46/50 [01:13<00:05, 1.43s/it] 94%|█████████▍| 47/50 [01:15<00:04, 1.38s/it] 96%|█████████▌| 48/50 [01:16<00:02, 1.38s/it] 98%|█████████▊| 49/50 [01:17<00:01, 1.19s/it] 100%|██████████| 50/50 [01:17<00:00, 1.02s/it] 100%|██████████| 50/50 [01:17<00:00, 1.56s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.2ms preprocess, 7.6ms inference, 24.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:14, 1.93it/s] 7%|▋ | 2/28 [00:00<00:11, 2.18it/s] 11%|█ | 3/28 [00:01<00:10, 2.46it/s] 14%|█▍ | 4/28 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3.51it/s] 100%|██████████| 28/28 [00:09<00:00, 4.13it/s] 100%|██████████| 28/28 [00:09<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.64it/s] 7%|▋ | 2/28 [00:00<00:10, 2.46it/s] 11%|█ | 3/28 [00:01<00:09, 2.62it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.56it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.59it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.50it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.52it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.42it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.53it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.62it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.59it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.64it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.64it/s] 50%|█████ | 14/28 [00:05<00:05, 2.76it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.85it/s] 57%|█████▋ | 16/28 [00:06<00:04, 2.90it/s] 61%|██████ | 17/28 [00:06<00:04, 2.75it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.77it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.66it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.75it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.81it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.70it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.74it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.85it/s] 89%|████████▉ | 25/28 [00:09<00:01, 2.98it/s] 93%|█████████▎| 26/28 [00:09<00:00, 2.98it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.48it/s] 100%|██████████| 28/28 [00:09<00:00, 4.11it/s] 100%|██████████| 28/28 [00:09<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 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25/28 [00:09<00:01, 2.97it/s] 93%|█████████▎| 26/28 [00:09<00:00, 2.98it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.48it/s] 100%|██████████| 28/28 [00:09<00:00, 4.11it/s] 100%|██████████| 28/28 [00:09<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.61it/s] 7%|▋ | 2/28 [00:00<00:10, 2.48it/s] 11%|█ | 3/28 [00:01<00:09, 2.66it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.63it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.64it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.53it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.53it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.41it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.53it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.63it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.59it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.65it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.64it/s] 50%|█████ | 14/28 [00:05<00:05, 2.75it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.87it/s] 57%|█████▋ | 16/28 [00:05<00:04, 2.91it/s] 61%|██████ | 17/28 [00:06<00:03, 2.79it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.82it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.70it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.78it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.83it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.71it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.74it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.84it/s] 89%|████████▉ | 25/28 [00:09<00:01, 2.98it/s] 93%|█████████▎| 26/28 [00:09<00:00, 2.99it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.49it/s] 100%|██████████| 28/28 [00:09<00:00, 4.12it/s] 100%|██████████| 28/28 [00:09<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.61it/s] 7%|▋ | 2/28 [00:00<00:10, 2.46it/s] 11%|█ | 3/28 [00:01<00:09, 2.61it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.59it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.62it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.53it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.53it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.42it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.54it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.63it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.58it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.66it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.60it/s] 50%|█████ | 14/28 [00:05<00:05, 2.76it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.87it/s] 57%|█████▋ | 16/28 [00:06<00:04, 2.93it/s] 61%|██████ | 17/28 [00:06<00:03, 2.81it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.84it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.70it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.78it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.83it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.73it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.78it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.88it/s] 89%|████████▉ | 25/28 [00:09<00:00, 3.00it/s] 93%|█████████▎| 26/28 [00:09<00:00, 3.00it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.49it/s] 100%|██████████| 28/28 [00:09<00:00, 4.11it/s] 100%|██████████| 28/28 [00:09<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.61it/s] 7%|▋ | 2/28 [00:00<00:10, 2.47it/s] 11%|█ | 3/28 [00:01<00:09, 2.64it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.62it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.64it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.50it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.52it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.41it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.53it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.63it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.59it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.66it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.66it/s] 50%|█████ | 14/28 [00:05<00:04, 2.81it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.92it/s] 57%|█████▋ | 16/28 [00:05<00:04, 2.96it/s] 61%|██████ | 17/28 [00:06<00:03, 2.82it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.83it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.70it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.72it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.79it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.71it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.77it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.88it/s] 89%|████████▉ | 25/28 [00:09<00:00, 3.01it/s] 93%|█████████▎| 26/28 [00:09<00:00, 3.01it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.50it/s] 100%|██████████| 28/28 [00:09<00:00, 4.11it/s] 100%|██████████| 28/28 [00:09<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:10, 2.63it/s] 7%|▋ | 2/28 [00:00<00:10, 2.46it/s] 11%|█ | 3/28 [00:01<00:09, 2.63it/s] 14%|█▍ | 4/28 [00:01<00:09, 2.60it/s] 18%|█▊ | 5/28 [00:01<00:08, 2.62it/s] 21%|██▏ | 6/28 [00:02<00:08, 2.53it/s] 25%|██▌ | 7/28 [00:02<00:08, 2.51it/s] 29%|██▊ | 8/28 [00:03<00:08, 2.41it/s] 32%|███▏ | 9/28 [00:03<00:07, 2.53it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.61it/s] 39%|███▉ | 11/28 [00:04<00:06, 2.58it/s] 43%|████▎ | 12/28 [00:04<00:06, 2.64it/s] 46%|████▋ | 13/28 [00:05<00:05, 2.61it/s] 50%|█████ | 14/28 [00:05<00:05, 2.75it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.86it/s] 57%|█████▋ | 16/28 [00:06<00:04, 2.90it/s] 61%|██████ | 17/28 [00:06<00:03, 2.78it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.81it/s] 68%|██████▊ | 19/28 [00:07<00:03, 2.62it/s] 71%|███████▏ | 20/28 [00:07<00:02, 2.71it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.77it/s] 79%|███████▊ | 22/28 [00:08<00:02, 2.69it/s] 82%|████████▏ | 23/28 [00:08<00:01, 2.75it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.85it/s] 89%|████████▉ | 25/28 [00:09<00:01, 2.98it/s] 93%|█████████▎| 26/28 [00:09<00:00, 2.98it/s] 96%|█████████▋| 27/28 [00:09<00:00, 3.47it/s] 100%|██████████| 28/28 [00:09<00:00, 4.08it/s] 100%|██████████| 28/28 [00:09<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.