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White Clothing with Perfect Woman
perfect-woman:v1.0
evevalentine2017
evevalentine2017
·
Feb 26
337
Input
prompt
Specify things to see in the output
masterpiece, best quality, 8k, (looking at the viewer: 1.1), beautiful, hot, seductive, woman with tanned skin,medium breasts, oiled black hair, (eye contact:1.1), beautiful face, (detailed face:1.2), (animated:1.2), hyper detailed, best quality, ultra high resolution, brown hair , cozy house interior, photorealistic, high resolution, detailed, raw photo, 1girl, white clothes, night, city lights, rain
negative_prompt
Specify things to not see in the output
nsfw, nipples, EasyNegative, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandv4, clothes
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0.85
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
191260998
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 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>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
badhandv4.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/8a5c215fd2af465b82722a0beed7f201/00000-191260998.webp
https://files.tungsten.run/uploads/e18646d5b9464dc3a3b8594676d3c57c/00001-191260999.webp
https://files.tungsten.run/uploads/d350ef1d67a44eb1ab8b5e51b393df5c/00002-191261000.webp
https://files.tungsten.run/uploads/858c425068f44c20aa4fd32121f0b0bc/00003-191261001.webp
Finished in 62.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: masterpiece, best quality, 8k, (looking at the viewer: 1.1), beautiful, hot, seductive, woman with tanned skin,medium breasts, oiled black hair, (eye contact:1.1), beautiful face, (detailed face:1.2), (animated:1.2), hyper detailed, best quality, ultra high resolution, brown hair , cozy house interior, photorealistic, high resolution, detailed, raw photo, 1girl, white clothes, night, city lights, rain, <lora:add_saturation:0.85> Full negative prompt: nsfw, nipples, EasyNegative, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandv4, clothes 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:00, 1.23s/it] 4%|▍ | 2/50 [00:01<00:43, 1.11it/s] 6%|▌ | 3/50 [00:02<00:36, 1.27it/s] 8%|▊ | 4/50 [00:03<00:34, 1.35it/s] 10%|█ | 5/50 [00:03<00:32, 1.40it/s] 12%|█▏ | 6/50 [00:04<00:30, 1.43it/s] 14%|█▍ | 7/50 [00:05<00:29, 1.45it/s] 16%|█▌ | 8/50 [00:05<00:28, 1.46it/s] 18%|█▊ | 9/50 [00:06<00:27, 1.47it/s] 20%|██ | 10/50 [00:07<00:27, 1.48it/s] 22%|██▏ | 11/50 [00:07<00:26, 1.48it/s] 24%|██▍ | 12/50 [00:08<00:25, 1.49it/s] 26%|██▌ | 13/50 [00:09<00:24, 1.49it/s] 28%|██▊ | 14/50 [00:09<00:24, 1.49it/s] 30%|███ | 15/50 [00:10<00:23, 1.49it/s] 32%|███▏ | 16/50 [00:11<00:22, 1.49it/s] 34%|███▍ | 17/50 [00:11<00:22, 1.48it/s] 36%|███▌ | 18/50 [00:12<00:21, 1.49it/s] 38%|███▊ | 19/50 [00:13<00:20, 1.49it/s] 40%|████ | 20/50 [00:13<00:20, 1.48it/s] 42%|████▏ | 21/50 [00:14<00:19, 1.48it/s] 44%|████▍ | 22/50 [00:15<00:18, 1.48it/s] 46%|████▌ | 23/50 [00:15<00:18, 1.48it/s] 48%|████▊ | 24/50 [00:16<00:17, 1.48it/s] 50%|█████ | 25/50 [00:17<00:16, 1.48it/s] 52%|█████▏ | 26/50 [00:18<00:16, 1.48it/s] 54%|█████▍ | 27/50 [00:18<00:15, 1.47it/s] 56%|█████▌ | 28/50 [00:19<00:14, 1.47it/s] 58%|█████▊ | 29/50 [00:20<00:14, 1.47it/s] 60%|██████ | 30/50 [00:20<00:13, 1.47it/s] 62%|██████▏ | 31/50 [00:21<00:12, 1.47it/s] 64%|██████▍ | 32/50 [00:22<00:12, 1.46it/s] 66%|██████▌ | 33/50 [00:22<00:11, 1.46it/s] 68%|██████▊ | 34/50 [00:23<00:10, 1.47it/s] 70%|███████ | 35/50 [00:24<00:10, 1.47it/s] 72%|███████▏ | 36/50 [00:24<00:09, 1.47it/s] 74%|███████▍ | 37/50 [00:25<00:08, 1.47it/s] 76%|███████▌ | 38/50 [00:26<00:08, 1.46it/s] 78%|███████▊ | 39/50 [00:26<00:07, 1.47it/s] 80%|████████ | 40/50 [00:27<00:06, 1.47it/s] 82%|████████▏ | 41/50 [00:28<00:06, 1.46it/s] 84%|████████▍ | 42/50 [00:28<00:05, 1.47it/s] 86%|████████▌ | 43/50 [00:29<00:04, 1.47it/s] 88%|████████▊ | 44/50 [00:30<00:04, 1.46it/s] 90%|█████████ | 45/50 [00:30<00:03, 1.46it/s] 92%|█████████▏| 46/50 [00:31<00:02, 1.46it/s] 94%|█████████▍| 47/50 [00:32<00:02, 1.46it/s] 96%|█████████▌| 48/50 [00:33<00:01, 1.46it/s] 98%|█████████▊| 49/50 [00:33<00:00, 1.46it/s] 100%|██████████| 50/50 [00:34<00:00, 1.47it/s] 100%|██████████| 50/50 [00:34<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.04s 0: 640x640 1 face, 8.2ms Speed: 3.0ms preprocess, 8.2ms inference, 33.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.44it/s] 9%|▊ | 2/23 [00:00<00:04, 4.72it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.36it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.73it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.90it/s] 26%|██▌ | 6/23 [00:01<00:02, 5.97it/s] 30%|███ | 7/23 [00:01<00:02, 6.03it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.14it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.22it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.27it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.30it/s] 52%|█████▏ | 12/23 [00:02<00:01, 6.28it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.25it/s] 61%|██████ | 14/23 [00:02<00:01, 6.27it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.30it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.32it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.32it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.29it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.26it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.25it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.27it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.29it/s] 100%|██████████| 23/23 [00:03<00:00, 6.31it/s] 100%|██████████| 23/23 [00:03<00:00, 6.08it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.62it/s] 9%|▊ | 2/23 [00:00<00:03, 6.48it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.44it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.41it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.41it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.31it/s] 30%|███ | 7/23 [00:01<00:02, 6.28it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.30it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.33it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.34it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.34it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.28it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.26it/s] 61%|██████ | 14/23 [00:02<00:01, 6.27it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.28it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.30it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.32it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.29it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.29it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.29it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.28it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.28it/s] 100%|██████████| 23/23 [00:03<00:00, 6.31it/s] 100%|██████████| 23/23 [00:03<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.78it/s] 9%|▊ | 2/23 [00:00<00:03, 6.55it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.49it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.42it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.38it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.29it/s] 30%|███ | 7/23 [00:01<00:02, 6.30it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.33it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.31it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.32it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.35it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.31it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.31it/s] 61%|██████ | 14/23 [00:02<00:01, 6.31it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.33it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.35it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.37it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.33it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.31it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.31it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.29it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.29it/s] 100%|██████████| 23/23 [00:03<00:00, 6.33it/s] 100%|██████████| 23/23 [00:03<00:00, 6.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.57it/s] 9%|▊ | 2/23 [00:00<00:03, 6.33it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.37it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.40it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.39it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.32it/s] 30%|███ | 7/23 [00:01<00:02, 6.28it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.30it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.34it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.33it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.36it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.31it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.28it/s] 61%|██████ | 14/23 [00:02<00:01, 6.28it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.31it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.33it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.35it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.33it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.27it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.29it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.31it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.31it/s] 100%|██████████| 23/23 [00:03<00:00, 6.31it/s] 100%|██████████| 23/23 [00:03<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.24s 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.
prompt
Specify things to see in the output
masterpiece, best quality, 8k, (looking at the viewer: 1.1), beautiful, hot, seductive, woman with tanned skin,medium breasts, oiled black hair, (eye contact:1.1), beautiful face, (detailed face:1.2), (animated:1.2), hyper detailed, best quality, ultra high resolution, brown hair , cozy house interior, photorealistic, high resolution, detailed, raw photo, 1girl, white clothes, night, city lights, rain
negative_prompt
Specify things to not see in the output
nsfw, nipples, EasyNegative, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandv4, clothes
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0.85
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
191260998
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 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>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
badhandv4.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/8a5c215fd2af465b82722a0beed7f201/00000-191260998.webp
https://files.tungsten.run/uploads/e18646d5b9464dc3a3b8594676d3c57c/00001-191260999.webp
https://files.tungsten.run/uploads/d350ef1d67a44eb1ab8b5e51b393df5c/00002-191261000.webp
https://files.tungsten.run/uploads/858c425068f44c20aa4fd32121f0b0bc/00003-191261001.webp
Finished in 62.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: masterpiece, best quality, 8k, (looking at the viewer: 1.1), beautiful, hot, seductive, woman with tanned skin,medium breasts, oiled black hair, (eye contact:1.1), beautiful face, (detailed face:1.2), (animated:1.2), hyper detailed, best quality, ultra high resolution, brown hair , cozy house interior, photorealistic, high resolution, detailed, raw photo, 1girl, white clothes, night, city lights, rain, <lora:add_saturation:0.85> Full negative prompt: nsfw, nipples, EasyNegative, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandv4, clothes 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:00, 1.23s/it] 4%|▍ | 2/50 [00:01<00:43, 1.11it/s] 6%|▌ | 3/50 [00:02<00:36, 1.27it/s] 8%|▊ | 4/50 [00:03<00:34, 1.35it/s] 10%|█ | 5/50 [00:03<00:32, 1.40it/s] 12%|█▏ | 6/50 [00:04<00:30, 1.43it/s] 14%|█▍ | 7/50 [00:05<00:29, 1.45it/s] 16%|█▌ | 8/50 [00:05<00:28, 1.46it/s] 18%|█▊ | 9/50 [00:06<00:27, 1.47it/s] 20%|██ | 10/50 [00:07<00:27, 1.48it/s] 22%|██▏ | 11/50 [00:07<00:26, 1.48it/s] 24%|██▍ | 12/50 [00:08<00:25, 1.49it/s] 26%|██▌ | 13/50 [00:09<00:24, 1.49it/s] 28%|██▊ | 14/50 [00:09<00:24, 1.49it/s] 30%|███ | 15/50 [00:10<00:23, 1.49it/s] 32%|███▏ | 16/50 [00:11<00:22, 1.49it/s] 34%|███▍ | 17/50 [00:11<00:22, 1.48it/s] 36%|███▌ | 18/50 [00:12<00:21, 1.49it/s] 38%|███▊ | 19/50 [00:13<00:20, 1.49it/s] 40%|████ | 20/50 [00:13<00:20, 1.48it/s] 42%|████▏ | 21/50 [00:14<00:19, 1.48it/s] 44%|████▍ | 22/50 [00:15<00:18, 1.48it/s] 46%|████▌ | 23/50 [00:15<00:18, 1.48it/s] 48%|████▊ | 24/50 [00:16<00:17, 1.48it/s] 50%|█████ | 25/50 [00:17<00:16, 1.48it/s] 52%|█████▏ | 26/50 [00:18<00:16, 1.48it/s] 54%|█████▍ | 27/50 [00:18<00:15, 1.47it/s] 56%|█████▌ | 28/50 [00:19<00:14, 1.47it/s] 58%|█████▊ | 29/50 [00:20<00:14, 1.47it/s] 60%|██████ | 30/50 [00:20<00:13, 1.47it/s] 62%|██████▏ | 31/50 [00:21<00:12, 1.47it/s] 64%|██████▍ | 32/50 [00:22<00:12, 1.46it/s] 66%|██████▌ | 33/50 [00:22<00:11, 1.46it/s] 68%|██████▊ | 34/50 [00:23<00:10, 1.47it/s] 70%|███████ | 35/50 [00:24<00:10, 1.47it/s] 72%|███████▏ | 36/50 [00:24<00:09, 1.47it/s] 74%|███████▍ | 37/50 [00:25<00:08, 1.47it/s] 76%|███████▌ | 38/50 [00:26<00:08, 1.46it/s] 78%|███████▊ | 39/50 [00:26<00:07, 1.47it/s] 80%|████████ | 40/50 [00:27<00:06, 1.47it/s] 82%|████████▏ | 41/50 [00:28<00:06, 1.46it/s] 84%|████████▍ | 42/50 [00:28<00:05, 1.47it/s] 86%|████████▌ | 43/50 [00:29<00:04, 1.47it/s] 88%|████████▊ | 44/50 [00:30<00:04, 1.46it/s] 90%|█████████ | 45/50 [00:30<00:03, 1.46it/s] 92%|█████████▏| 46/50 [00:31<00:02, 1.46it/s] 94%|█████████▍| 47/50 [00:32<00:02, 1.46it/s] 96%|█████████▌| 48/50 [00:33<00:01, 1.46it/s] 98%|█████████▊| 49/50 [00:33<00:00, 1.46it/s] 100%|██████████| 50/50 [00:34<00:00, 1.47it/s] 100%|██████████| 50/50 [00:34<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.04s 0: 640x640 1 face, 8.2ms Speed: 3.0ms preprocess, 8.2ms inference, 33.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.44it/s] 9%|▊ | 2/23 [00:00<00:04, 4.72it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.36it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.73it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.90it/s] 26%|██▌ | 6/23 [00:01<00:02, 5.97it/s] 30%|███ | 7/23 [00:01<00:02, 6.03it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.14it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.22it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.27it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.30it/s] 52%|█████▏ | 12/23 [00:02<00:01, 6.28it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.25it/s] 61%|██████ | 14/23 [00:02<00:01, 6.27it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.30it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.32it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.32it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.29it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.26it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.25it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.27it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.29it/s] 100%|██████████| 23/23 [00:03<00:00, 6.31it/s] 100%|██████████| 23/23 [00:03<00:00, 6.08it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.62it/s] 9%|▊ | 2/23 [00:00<00:03, 6.48it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.44it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.41it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.41it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.31it/s] 30%|███ | 7/23 [00:01<00:02, 6.28it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.30it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.33it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.34it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.34it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.28it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.26it/s] 61%|██████ | 14/23 [00:02<00:01, 6.27it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.28it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.30it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.32it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.29it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.29it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.29it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.28it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.28it/s] 100%|██████████| 23/23 [00:03<00:00, 6.31it/s] 100%|██████████| 23/23 [00:03<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.78it/s] 9%|▊ | 2/23 [00:00<00:03, 6.55it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.49it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.42it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.38it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.29it/s] 30%|███ | 7/23 [00:01<00:02, 6.30it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.33it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.31it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.32it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.35it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.31it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.31it/s] 61%|██████ | 14/23 [00:02<00:01, 6.31it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.33it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.35it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.37it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.33it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.31it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.31it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.29it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.29it/s] 100%|██████████| 23/23 [00:03<00:00, 6.33it/s] 100%|██████████| 23/23 [00:03<00:00, 6.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.57it/s] 9%|▊ | 2/23 [00:00<00:03, 6.33it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.37it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.40it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.39it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.32it/s] 30%|███ | 7/23 [00:01<00:02, 6.28it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.30it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.34it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.33it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.36it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.31it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.28it/s] 61%|██████ | 14/23 [00:02<00:01, 6.28it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.31it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.33it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.35it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.33it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.27it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.29it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.31it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.31it/s] 100%|██████████| 23/23 [00:03<00:00, 6.31it/s] 100%|██████████| 23/23 [00:03<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.24s 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.