ai-os
ai-os
4 stars
Version: v1.0
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/836b178d9fe74c2eb8145dbbf52bbfd5/00000-2617527782.webp
https://files.tungsten.run/uploads/9a031db8fe2b4c30b836a85c29b815fe/00001-2617527783.webp
https://files.tungsten.run/uploads/5c824a4b3ce1487c9e1c1b3c61fbb4b6/00002-2617527784.webp
https://files.tungsten.run/uploads/c61af347932c47139866261964d71d1b/00003-2617527785.webp
This example was created by evevalentine2017
Finished in 132.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: 1girl, makeup, brunette, very long hair, half body, white background, hdr, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:0.45> Full negative prompt: nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4) 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:01<01:30, 1.96s/it] 4%|▍ | 2/47 [00:03<01:20, 1.80s/it] 6%|▋ | 3/47 [00:05<01:17, 1.76s/it] 9%|▊ | 4/47 [00:07<01:15, 1.77s/it] 11%|█ | 5/47 [00:08<01:12, 1.73s/it] 13%|█▎ | 6/47 [00:10<01:11, 1.74s/it] 15%|█▍ | 7/47 [00:12<01:10, 1.75s/it] 17%|█▋ | 8/47 [00:14<01:11, 1.84s/it] 19%|█▉ | 9/47 [00:16<01:07, 1.78s/it] 21%|██▏ | 10/47 [00:17<01:04, 1.74s/it] 23%|██▎ | 11/47 [00:19<01:04, 1.79s/it] 26%|██▌ | 12/47 [00:21<01:03, 1.80s/it] 28%|██▊ | 13/47 [00:23<01:00, 1.78s/it] 30%|██▉ | 14/47 [00:24<00:58, 1.77s/it] 32%|███▏ | 15/47 [00:26<00:57, 1.79s/it] 34%|███▍ | 16/47 [00:28<00:55, 1.80s/it] 36%|███▌ | 17/47 [00:30<00:54, 1.83s/it] 38%|███▊ | 18/47 [00:31<00:50, 1.73s/it] 40%|████ | 19/47 [00:33<00:46, 1.67s/it] 43%|████▎ | 20/47 [00:35<00:44, 1.66s/it] 45%|████▍ | 21/47 [00:36<00:44, 1.71s/it] 47%|████▋ | 22/47 [00:38<00:43, 1.74s/it] 49%|████▉ | 23/47 [00:40<00:42, 1.78s/it] 51%|█████ | 24/47 [00:42<00:40, 1.75s/it] 53%|█████▎ | 25/47 [00:43<00:37, 1.72s/it] 55%|█████▌ | 26/47 [00:45<00:37, 1.78s/it] 57%|█████▋ | 27/47 [00:47<00:35, 1.78s/it] 60%|█████▉ | 28/47 [00:49<00:33, 1.75s/it] 62%|██████▏ | 29/47 [00:50<00:30, 1.71s/it] 64%|██████▍ | 30/47 [00:52<00:28, 1.69s/it] 66%|██████▌ | 31/47 [00:54<00:27, 1.70s/it] 68%|██████▊ | 32/47 [00:55<00:25, 1.70s/it] 70%|███████ | 33/47 [00:57<00:23, 1.71s/it] 72%|███████▏ | 34/47 [00:59<00:21, 1.66s/it] 74%|███████▍ | 35/47 [01:00<00:20, 1.67s/it] 77%|███████▋ | 36/47 [01:02<00:17, 1.63s/it] 79%|███████▊ | 37/47 [01:03<00:15, 1.54s/it] 81%|████████ | 38/47 [01:05<00:14, 1.59s/it] 83%|████████▎ | 39/47 [01:06<00:12, 1.54s/it] 85%|████████▌ | 40/47 [01:08<00:10, 1.51s/it] 87%|████████▋ | 41/47 [01:10<00:09, 1.57s/it] 89%|████████▉ | 42/47 [01:11<00:07, 1.57s/it] 91%|█████████▏| 43/47 [01:13<00:06, 1.51s/it] 94%|█████████▎| 44/47 [01:14<00:04, 1.48s/it] 96%|█████████▌| 45/47 [01:16<00:03, 1.51s/it] 98%|█████████▊| 46/47 [01:16<00:01, 1.31s/it] 100%|██████████| 47/47 [01:17<00:00, 1.12s/it] 100%|██████████| 47/47 [01:17<00:00, 1.65s/it] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 4.3ms preprocess, 7.9ms inference, 12.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:14, 1.70it/s] 8%|▊ | 2/26 [00:01<00:12, 1.99it/s] 12%|█▏ | 3/26 [00:01<00:10, 2.19it/s] 15%|█▌ | 4/26 [00:01<00:09, 2.32it/s] 19%|█▉ | 5/26 [00:02<00:09, 2.29it/s] 23%|██▎ | 6/26 [00:02<00:08, 2.33it/s] 27%|██▋ | 7/26 [00:03<00:07, 2.40it/s] 31%|███ | 8/26 [00:03<00:07, 2.48it/s] 35%|███▍ | 9/26 [00:03<00:06, 2.52it/s] 38%|███▊ | 10/26 [00:04<00:06, 2.49it/s] 42%|████▏ | 11/26 [00:04<00:06, 2.45it/s] 46%|████▌ | 12/26 [00:05<00:05, 2.45it/s] 50%|█████ | 13/26 [00:05<00:05, 2.52it/s] 54%|█████▍ | 14/26 [00:05<00:04, 2.52it/s] 58%|█████▊ | 15/26 [00:06<00:04, 2.60it/s] 62%|██████▏ | 16/26 [00:06<00:03, 2.74it/s] 65%|██████▌ | 17/26 [00:06<00:03, 2.67it/s] 69%|██████▉ | 18/26 [00:07<00:02, 2.77it/s] 73%|███████▎ | 19/26 [00:07<00:02, 2.82it/s] 77%|███████▋ | 20/26 [00:07<00:02, 2.72it/s] 81%|████████ | 21/26 [00:08<00:01, 2.74it/s] 85%|████████▍ | 22/26 [00:08<00:01, 2.83it/s] 88%|████████▊ | 23/26 [00:08<00:01, 2.89it/s] 92%|█████████▏| 24/26 [00:09<00:00, 2.82it/s] 96%|█████████▌| 25/26 [00:09<00:00, 3.24it/s] 100%|██████████| 26/26 [00:09<00:00, 3.82it/s] 100%|██████████| 26/26 [00:09<00:00, 2.67it/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: 3.2ms preprocess, 7.6ms 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, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:11, 2.25it/s] 8%|▊ | 2/26 [00:00<00:10, 2.18it/s] 12%|█▏ | 3/26 [00:01<00:10, 2.29it/s] 15%|█▌ | 4/26 [00:01<00:09, 2.33it/s] 19%|█▉ | 5/26 [00:02<00:09, 2.27it/s] 23%|██▎ | 6/26 [00:02<00:08, 2.26it/s] 27%|██▋ | 7/26 [00:03<00:08, 2.32it/s] 31%|███ | 8/26 [00:03<00:07, 2.39it/s] 35%|███▍ | 9/26 [00:03<00:06, 2.43it/s] 38%|███▊ | 10/26 [00:04<00:06, 2.41it/s] 42%|████▏ | 11/26 [00:04<00:06, 2.37it/s] 46%|████▌ | 12/26 [00:05<00:05, 2.37it/s] 50%|█████ | 13/26 [00:05<00:05, 2.46it/s] 54%|█████▍ | 14/26 [00:05<00:04, 2.45it/s] 58%|█████▊ | 15/26 [00:06<00:04, 2.53it/s] 62%|██████▏ | 16/26 [00:06<00:03, 2.68it/s] 65%|██████▌ | 17/26 [00:07<00:03, 2.59it/s] 69%|██████▉ | 18/26 [00:07<00:02, 2.68it/s] 73%|███████▎ | 19/26 [00:07<00:02, 2.69it/s] 77%|███████▋ | 20/26 [00:08<00:02, 2.59it/s] 81%|████████ | 21/26 [00:08<00:01, 2.64it/s] 85%|████████▍ | 22/26 [00:08<00:01, 2.73it/s] 88%|████████▊ | 23/26 [00:09<00:01, 2.81it/s] 92%|█████████▏| 24/26 [00:09<00:00, 2.76it/s] 96%|█████████▌| 25/26 [00:09<00:00, 3.20it/s] 100%|██████████| 26/26 [00:09<00:00, 3.79it/s] 100%|██████████| 26/26 [00:09<00:00, 2.63it/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: 3.2ms preprocess, 7.2ms inference, 1.0ms 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: 2.8ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:11, 2.15it/s] 8%|▊ | 2/26 [00:00<00:11, 2.14it/s] 12%|█▏ | 3/26 [00:01<00:10, 2.26it/s] 15%|█▌ | 4/26 [00:01<00:09, 2.33it/s] 19%|█▉ | 5/26 [00:02<00:09, 2.26it/s] 23%|██▎ | 6/26 [00:02<00:08, 2.29it/s] 27%|██▋ | 7/26 [00:03<00:08, 2.35it/s] 31%|███ | 8/26 [00:03<00:07, 2.41it/s] 35%|███▍ | 9/26 [00:03<00:06, 2.45it/s] 38%|███▊ | 10/26 [00:04<00:06, 2.41it/s] 42%|████▏ | 11/26 [00:04<00:06, 2.40it/s] 46%|████▌ | 12/26 [00:05<00:05, 2.39it/s] 50%|█████ | 13/26 [00:05<00:05, 2.48it/s] 54%|█████▍ | 14/26 [00:05<00:04, 2.45it/s] 58%|█████▊ | 15/26 [00:06<00:04, 2.52it/s] 62%|██████▏ | 16/26 [00:06<00:03, 2.67it/s] 65%|██████▌ | 17/26 [00:07<00:03, 2.60it/s] 69%|██████▉ | 18/26 [00:07<00:02, 2.68it/s] 73%|███████▎ | 19/26 [00:07<00:02, 2.77it/s] 77%|███████▋ | 20/26 [00:08<00:02, 2.64it/s] 81%|████████ | 21/26 [00:08<00:01, 2.66it/s] 85%|████████▍ | 22/26 [00:08<00:01, 2.77it/s] 88%|████████▊ | 23/26 [00:09<00:01, 2.81it/s] 92%|█████████▏| 24/26 [00:09<00:00, 2.72it/s] 96%|█████████▌| 25/26 [00:09<00:00, 3.16it/s] 100%|██████████| 26/26 [00:09<00:00, 3.69it/s] 100%|██████████| 26/26 [00:09<00:00, 2.63it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 13.8ms Speed: 4.2ms preprocess, 13.8ms inference, 1.9ms 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: 2.8ms preprocess, 7.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:10, 2.28it/s] 8%|▊ | 2/26 [00:00<00:10, 2.19it/s] 12%|█▏ | 3/26 [00:01<00:09, 2.30it/s] 15%|█▌ | 4/26 [00:01<00:09, 2.37it/s] 19%|█▉ | 5/26 [00:02<00:09, 2.30it/s] 23%|██▎ | 6/26 [00:02<00:08, 2.32it/s] 27%|██▋ | 7/26 [00:02<00:07, 2.38it/s] 31%|███ | 8/26 [00:03<00:07, 2.45it/s] 35%|███▍ | 9/26 [00:03<00:06, 2.49it/s] 38%|███▊ | 10/26 [00:04<00:06, 2.45it/s] 42%|████▏ | 11/26 [00:04<00:06, 2.45it/s] 46%|████▌ | 12/26 [00:05<00:05, 2.41it/s] 50%|█████ | 13/26 [00:05<00:05, 2.49it/s] 54%|█████▍ | 14/26 [00:05<00:04, 2.50it/s] 58%|█████▊ | 15/26 [00:06<00:04, 2.55it/s] 62%|██████▏ | 16/26 [00:06<00:03, 2.71it/s] 65%|██████▌ | 17/26 [00:06<00:03, 2.63it/s] 69%|██████▉ | 18/26 [00:07<00:02, 2.73it/s] 73%|███████▎ | 19/26 [00:07<00:02, 2.81it/s] 77%|███████▋ | 20/26 [00:07<00:02, 2.69it/s] 81%|████████ | 21/26 [00:08<00:01, 2.70it/s] 85%|████████▍ | 22/26 [00:08<00:01, 2.78it/s] 88%|████████▊ | 23/26 [00:09<00:01, 2.83it/s] 92%|█████████▏| 24/26 [00:09<00:00, 2.78it/s] 96%|█████████▌| 25/26 [00:09<00:00, 3.23it/s] 100%|██████████| 26/26 [00:09<00:00, 3.82it/s] 100%|██████████| 26/26 [00:09<00:00, 2.67it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.9ms Speed: 3.3ms preprocess, 8.9ms inference, 1.3ms 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
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/836b178d9fe74c2eb8145dbbf52bbfd5/00000-2617527782.webp
https://files.tungsten.run/uploads/9a031db8fe2b4c30b836a85c29b815fe/00001-2617527783.webp
https://files.tungsten.run/uploads/5c824a4b3ce1487c9e1c1b3c61fbb4b6/00002-2617527784.webp
https://files.tungsten.run/uploads/c61af347932c47139866261964d71d1b/00003-2617527785.webp
This example was created by evevalentine2017
Finished in 132.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: 1girl, makeup, brunette, very long hair, half body, white background, hdr, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:0.45> Full negative prompt: nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4) 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:01<01:30, 1.96s/it] 4%|▍ | 2/47 [00:03<01:20, 1.80s/it] 6%|▋ | 3/47 [00:05<01:17, 1.76s/it] 9%|▊ | 4/47 [00:07<01:15, 1.77s/it] 11%|█ | 5/47 [00:08<01:12, 1.73s/it] 13%|█▎ | 6/47 [00:10<01:11, 1.74s/it] 15%|█▍ | 7/47 [00:12<01:10, 1.75s/it] 17%|█▋ | 8/47 [00:14<01:11, 1.84s/it] 19%|█▉ | 9/47 [00:16<01:07, 1.78s/it] 21%|██▏ | 10/47 [00:17<01:04, 1.74s/it] 23%|██▎ | 11/47 [00:19<01:04, 1.79s/it] 26%|██▌ | 12/47 [00:21<01:03, 1.80s/it] 28%|██▊ | 13/47 [00:23<01:00, 1.78s/it] 30%|██▉ | 14/47 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1.54s/it] 81%|████████ | 38/47 [01:05<00:14, 1.59s/it] 83%|████████▎ | 39/47 [01:06<00:12, 1.54s/it] 85%|████████▌ | 40/47 [01:08<00:10, 1.51s/it] 87%|████████▋ | 41/47 [01:10<00:09, 1.57s/it] 89%|████████▉ | 42/47 [01:11<00:07, 1.57s/it] 91%|█████████▏| 43/47 [01:13<00:06, 1.51s/it] 94%|█████████▎| 44/47 [01:14<00:04, 1.48s/it] 96%|█████████▌| 45/47 [01:16<00:03, 1.51s/it] 98%|█████████▊| 46/47 [01:16<00:01, 1.31s/it] 100%|██████████| 47/47 [01:17<00:00, 1.12s/it] 100%|██████████| 47/47 [01:17<00:00, 1.65s/it] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 4.3ms preprocess, 7.9ms inference, 12.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:14, 1.70it/s] 8%|▊ | 2/26 [00:01<00:12, 1.99it/s] 12%|█▏ | 3/26 [00:01<00:10, 2.19it/s] 15%|█▌ | 4/26 [00:01<00:09, 2.32it/s] 19%|█▉ | 5/26 [00:02<00:09, 2.29it/s] 23%|██▎ | 6/26 [00:02<00:08, 2.33it/s] 27%|██▋ | 7/26 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detections), 7.6ms Speed: 3.2ms preprocess, 7.6ms 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, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:11, 2.25it/s] 8%|▊ | 2/26 [00:00<00:10, 2.18it/s] 12%|█▏ | 3/26 [00:01<00:10, 2.29it/s] 15%|█▌ | 4/26 [00:01<00:09, 2.33it/s] 19%|█▉ | 5/26 [00:02<00:09, 2.27it/s] 23%|██▎ | 6/26 [00:02<00:08, 2.26it/s] 27%|██▋ | 7/26 [00:03<00:08, 2.32it/s] 31%|███ | 8/26 [00:03<00:07, 2.39it/s] 35%|███▍ | 9/26 [00:03<00:06, 2.43it/s] 38%|███▊ | 10/26 [00:04<00:06, 2.41it/s] 42%|████▏ | 11/26 [00:04<00:06, 2.37it/s] 46%|████▌ | 12/26 [00:05<00:05, 2.37it/s] 50%|█████ | 13/26 [00:05<00:05, 2.46it/s] 54%|█████▍ | 14/26 [00:05<00:04, 2.45it/s] 58%|█████▊ | 15/26 [00:06<00:04, 2.53it/s] 62%|██████▏ | 16/26 [00:06<00:03, 2.68it/s] 65%|██████▌ | 17/26 [00:07<00:03, 2.59it/s] 69%|██████▉ | 18/26 [00:07<00:02, 2.68it/s] 73%|███████▎ | 19/26 [00:07<00:02, 2.69it/s] 77%|███████▋ | 20/26 [00:08<00:02, 2.59it/s] 81%|████████ | 21/26 [00:08<00:01, 2.64it/s] 85%|████████▍ | 22/26 [00:08<00:01, 2.73it/s] 88%|████████▊ | 23/26 [00:09<00:01, 2.81it/s] 92%|█████████▏| 24/26 [00:09<00:00, 2.76it/s] 96%|█████████▌| 25/26 [00:09<00:00, 3.20it/s] 100%|██████████| 26/26 [00:09<00:00, 3.79it/s] 100%|██████████| 26/26 [00:09<00:00, 2.63it/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: 3.2ms preprocess, 7.2ms inference, 1.0ms 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: 2.8ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:11, 2.15it/s] 8%|▊ | 2/26 [00:00<00:11, 2.14it/s] 12%|█▏ | 3/26 [00:01<00:10, 2.26it/s] 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26/26 [00:09<00:00, 2.63it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 13.8ms Speed: 4.2ms preprocess, 13.8ms inference, 1.9ms 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: 2.8ms preprocess, 7.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:10, 2.28it/s] 8%|▊ | 2/26 [00:00<00:10, 2.19it/s] 12%|█▏ | 3/26 [00:01<00:09, 2.30it/s] 15%|█▌ | 4/26 [00:01<00:09, 2.37it/s] 19%|█▉ | 5/26 [00:02<00:09, 2.30it/s] 23%|██▎ | 6/26 [00:02<00:08, 2.32it/s] 27%|██▋ | 7/26 [00:02<00:07, 2.38it/s] 31%|███ | 8/26 [00:03<00:07, 2.45it/s] 35%|███▍ | 9/26 [00:03<00:06, 2.49it/s] 38%|███▊ | 10/26 [00:04<00:06, 2.45it/s] 42%|████▏ | 11/26 [00:04<00:06, 2.45it/s] 46%|████▌ | 12/26 [00:05<00:05, 2.41it/s] 50%|█████ | 13/26 [00:05<00:05, 2.49it/s] 54%|█████▍ | 14/26 [00:05<00:04, 2.50it/s] 58%|█████▊ | 15/26 [00:06<00:04, 2.55it/s] 62%|██████▏ | 16/26 [00:06<00:03, 2.71it/s] 65%|██████▌ | 17/26 [00:06<00:03, 2.63it/s] 69%|██████▉ | 18/26 [00:07<00:02, 2.73it/s] 73%|███████▎ | 19/26 [00:07<00:02, 2.81it/s] 77%|███████▋ | 20/26 [00:07<00:02, 2.69it/s] 81%|████████ | 21/26 [00:08<00:01, 2.70it/s] 85%|████████▍ | 22/26 [00:08<00:01, 2.78it/s] 88%|████████▊ | 23/26 [00:09<00:01, 2.83it/s] 92%|█████████▏| 24/26 [00:09<00:00, 2.78it/s] 96%|█████████▌| 25/26 [00:09<00:00, 3.23it/s] 100%|██████████| 26/26 [00:09<00:00, 3.82it/s] 100%|██████████| 26/26 [00:09<00:00, 2.67it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.9ms Speed: 3.3ms preprocess, 8.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.