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raekana-mix
raekana-mix

raekana-mix

5 stars
Version: v2.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/6a15778c5ec4417db65784a72eb58251/00000-1876567192.webp
https://files.tungsten.run/uploads/06527a4cd54242e8892df5680f14a9cf/00001-1876567193.webp
https://files.tungsten.run/uploads/f48ac04970de4330843a7f336fd1d2f1/00002-1876567194.webp
https://files.tungsten.run/uploads/0d37946ce5a647219ef482c10d4f76bc/00003-1876567195.webp
This example was created by evevalentine2017
Finished in 55.3 seconds
Setting up the model... Processing... Full prompt: (masterpiece, best quality), intricate details, thin, ((slim)), beautiful girl, Light pink hair, white skin, light purple eyes, sharp jawline, cropped jacket, messy hair, lips, upper body, smirk Full negative prompt: (worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), bad-hands-5 0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:00<00:21, 1.51it/s] 6%|▌ | 2/33 [00:01<00:20, 1.49it/s] 9%|▉ | 3/33 [00:02<00:20, 1.49it/s] 12%|█▏ | 4/33 [00:02<00:19, 1.49it/s] 15%|█▌ | 5/33 [00:03<00:18, 1.48it/s] 18%|█▊ | 6/33 [00:04<00:18, 1.48it/s] 21%|██ | 7/33 [00:04<00:17, 1.48it/s] 24%|██▍ | 8/33 [00:05<00:16, 1.48it/s] 27%|██▋ | 9/33 [00:06<00:16, 1.48it/s] 30%|███ | 10/33 [00:06<00:15, 1.47it/s] 33%|███▎ | 11/33 [00:07<00:14, 1.48it/s] 36%|███▋ | 12/33 [00:08<00:14, 1.47it/s] 39%|███▉ | 13/33 [00:08<00:13, 1.47it/s] 42%|████▏ | 14/33 [00:09<00:12, 1.47it/s] 45%|████▌ | 15/33 [00:10<00:12, 1.47it/s] 48%|████▊ | 16/33 [00:10<00:11, 1.47it/s] 52%|█████▏ | 17/33 [00:11<00:10, 1.47it/s] 55%|█████▍ | 18/33 [00:12<00:10, 1.47it/s] 58%|█████▊ | 19/33 [00:12<00:09, 1.47it/s] 61%|██████ | 20/33 [00:13<00:08, 1.47it/s] 64%|██████▎ | 21/33 [00:14<00:08, 1.47it/s] 67%|██████▋ | 22/33 [00:14<00:07, 1.47it/s] 70%|██████▉ | 23/33 [00:15<00:06, 1.47it/s] 73%|███████▎ | 24/33 [00:16<00:06, 1.47it/s] 76%|███████▌ | 25/33 [00:16<00:05, 1.47it/s] 79%|███████▉ | 26/33 [00:17<00:04, 1.47it/s] 82%|████████▏ | 27/33 [00:18<00:04, 1.46it/s] 85%|████████▍ | 28/33 [00:19<00:03, 1.46it/s] 88%|████████▊ | 29/33 [00:19<00:02, 1.46it/s] 91%|█████████ | 30/33 [00:20<00:02, 1.47it/s] 94%|█████████▍| 31/33 [00:21<00:01, 1.46it/s] 97%|█████████▋| 32/33 [00:21<00:00, 1.46it/s] 100%|██████████| 33/33 [00:22<00:00, 1.47it/s] 100%|██████████| 33/33 [00:22<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 6.7ms preprocess, 7.4ms inference, 40.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:05, 3.40it/s] 11%|█ | 2/19 [00:00<00:03, 4.73it/s] 16%|█▌ | 3/19 [00:00<00:02, 5.38it/s] 21%|██ | 4/19 [00:00<00:02, 5.71it/s] 26%|██▋ | 5/19 [00:00<00:02, 5.95it/s] 32%|███▏ | 6/19 [00:01<00:02, 6.00it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.03it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.11it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.16it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.24it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.29it/s] 63%|██████▎ | 12/19 [00:02<00:01, 6.26it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.22it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.21it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.24it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.29it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.28it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.25it/s] 100%|██████████| 19/19 [00:03<00:00, 6.32it/s] 100%|██████████| 19/19 [00:03<00:00, 6.03it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.73it/s] 11%|█ | 2/19 [00:00<00:02, 6.57it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.47it/s] 21%|██ | 4/19 [00:00<00:02, 6.44it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.43it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.35it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.25it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.23it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.27it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.29it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.32it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.30it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.26it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.24it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.28it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.31it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.34it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.30it/s] 100%|██████████| 19/19 [00:03<00:00, 6.33it/s] 100%|██████████| 19/19 [00:03<00:00, 6.33it/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: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.66it/s] 11%|█ | 2/19 [00:00<00:02, 6.52it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.46it/s] 21%|██ | 4/19 [00:00<00:02, 6.43it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.41it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.33it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.22it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.17it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.23it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.28it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.33it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.28it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.23it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.18it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.20it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.25it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.28it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.26it/s] 100%|██████████| 19/19 [00:03<00:00, 6.29it/s] 100%|██████████| 19/19 [00:03<00:00, 6.29it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms 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, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.61it/s] 11%|█ | 2/19 [00:00<00:02, 6.48it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.45it/s] 21%|██ | 4/19 [00:00<00:02, 6.43it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.41it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.26it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.16it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.17it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.20it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.25it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.28it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.20it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.17it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.21it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.21it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.23it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.28it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.23it/s] 100%|██████████| 19/19 [00:03<00:00, 6.27it/s] 100%|██████████| 19/19 [00:03<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.9ms preprocess, 7.0ms 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, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.86it/s] 11%|█ | 2/19 [00:00<00:02, 6.54it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.47it/s] 21%|██ | 4/19 [00:00<00:02, 6.42it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.35it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.27it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.16it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.19it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.26it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.30it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.32it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.22it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.17it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.18it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.20it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.27it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.28it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.23it/s] 100%|██████████| 19/19 [00:03<00:00, 6.25it/s] 100%|██████████| 19/19 [00:03<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/6a15778c5ec4417db65784a72eb58251/00000-1876567192.webp
https://files.tungsten.run/uploads/06527a4cd54242e8892df5680f14a9cf/00001-1876567193.webp
https://files.tungsten.run/uploads/f48ac04970de4330843a7f336fd1d2f1/00002-1876567194.webp
https://files.tungsten.run/uploads/0d37946ce5a647219ef482c10d4f76bc/00003-1876567195.webp
This example was created by evevalentine2017
Finished in 55.3 seconds
Setting up the model... Processing... Full prompt: (masterpiece, best quality), intricate details, thin, ((slim)), beautiful girl, Light pink hair, white skin, light purple eyes, sharp jawline, cropped jacket, messy hair, lips, upper body, smirk Full negative prompt: (worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), bad-hands-5 0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:00<00:21, 1.51it/s] 6%|▌ | 2/33 [00:01<00:20, 1.49it/s] 9%|▉ | 3/33 [00:02<00:20, 1.49it/s] 12%|█▏ | 4/33 [00:02<00:19, 1.49it/s] 15%|█▌ | 5/33 [00:03<00:18, 1.48it/s] 18%|█▊ | 6/33 [00:04<00:18, 1.48it/s] 21%|██ | 7/33 [00:04<00:17, 1.48it/s] 24%|██▍ | 8/33 [00:05<00:16, 1.48it/s] 27%|██▋ | 9/33 [00:06<00:16, 1.48it/s] 30%|███ | 10/33 [00:06<00:15, 1.47it/s] 33%|███▎ | 11/33 [00:07<00:14, 1.48it/s] 36%|███▋ | 12/33 [00:08<00:14, 1.47it/s] 39%|███▉ | 13/33 [00:08<00:13, 1.47it/s] 42%|████▏ | 14/33 [00:09<00:12, 1.47it/s] 45%|████▌ | 15/33 [00:10<00:12, 1.47it/s] 48%|████▊ | 16/33 [00:10<00:11, 1.47it/s] 52%|█████▏ | 17/33 [00:11<00:10, 1.47it/s] 55%|█████▍ | 18/33 [00:12<00:10, 1.47it/s] 58%|█████▊ | 19/33 [00:12<00:09, 1.47it/s] 61%|██████ | 20/33 [00:13<00:08, 1.47it/s] 64%|██████▎ | 21/33 [00:14<00:08, 1.47it/s] 67%|██████▋ | 22/33 [00:14<00:07, 1.47it/s] 70%|██████▉ | 23/33 [00:15<00:06, 1.47it/s] 73%|███████▎ | 24/33 [00:16<00:06, 1.47it/s] 76%|███████▌ | 25/33 [00:16<00:05, 1.47it/s] 79%|███████▉ | 26/33 [00:17<00:04, 1.47it/s] 82%|████████▏ | 27/33 [00:18<00:04, 1.46it/s] 85%|████████▍ | 28/33 [00:19<00:03, 1.46it/s] 88%|████████▊ | 29/33 [00:19<00:02, 1.46it/s] 91%|█████████ | 30/33 [00:20<00:02, 1.47it/s] 94%|█████████▍| 31/33 [00:21<00:01, 1.46it/s] 97%|█████████▋| 32/33 [00:21<00:00, 1.46it/s] 100%|██████████| 33/33 [00:22<00:00, 1.47it/s] 100%|██████████| 33/33 [00:22<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 6.7ms preprocess, 7.4ms inference, 40.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:05, 3.40it/s] 11%|█ | 2/19 [00:00<00:03, 4.73it/s] 16%|█▌ | 3/19 [00:00<00:02, 5.38it/s] 21%|██ | 4/19 [00:00<00:02, 5.71it/s] 26%|██▋ | 5/19 [00:00<00:02, 5.95it/s] 32%|███▏ | 6/19 [00:01<00:02, 6.00it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.03it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.11it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.16it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.24it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.29it/s] 63%|██████▎ | 12/19 [00:02<00:01, 6.26it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.22it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.21it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.24it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.29it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.28it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.25it/s] 100%|██████████| 19/19 [00:03<00:00, 6.32it/s] 100%|██████████| 19/19 [00:03<00:00, 6.03it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.73it/s] 11%|█ | 2/19 [00:00<00:02, 6.57it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.47it/s] 21%|██ | 4/19 [00:00<00:02, 6.44it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.43it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.35it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.25it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.23it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.27it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.29it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.32it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.30it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.26it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.24it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.28it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.31it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.34it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.30it/s] 100%|██████████| 19/19 [00:03<00:00, 6.33it/s] 100%|██████████| 19/19 [00:03<00:00, 6.33it/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: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.66it/s] 11%|█ | 2/19 [00:00<00:02, 6.52it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.46it/s] 21%|██ | 4/19 [00:00<00:02, 6.43it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.41it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.33it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.22it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.17it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.23it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.28it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.33it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.28it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.23it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.18it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.20it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.25it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.28it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.26it/s] 100%|██████████| 19/19 [00:03<00:00, 6.29it/s] 100%|██████████| 19/19 [00:03<00:00, 6.29it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms 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, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.61it/s] 11%|█ | 2/19 [00:00<00:02, 6.48it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.45it/s] 21%|██ | 4/19 [00:00<00:02, 6.43it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.41it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.26it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.16it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.17it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.20it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.25it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.28it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.20it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.17it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.21it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.21it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.23it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.28it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.23it/s] 100%|██████████| 19/19 [00:03<00:00, 6.27it/s] 100%|██████████| 19/19 [00:03<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.9ms preprocess, 7.0ms 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, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.86it/s] 11%|█ | 2/19 [00:00<00:02, 6.54it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.47it/s] 21%|██ | 4/19 [00:00<00:02, 6.42it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.35it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.27it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.16it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.19it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.26it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.30it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.32it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.22it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.17it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.18it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.20it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.27it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.28it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.23it/s] 100%|██████████| 19/19 [00:03<00:00, 6.25it/s] 100%|██████████| 19/19 [00:03<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.