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unstablediffusers-xl
unstablediffusers-xl

unstablediffusers-xl

9 stars
Version: v1.1
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
sdxlyamersstyle
Sdxlyamersstyle
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
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/de0d9cf2ad3645018bc39a8f474cbeb3/00000-3568519757.webp
https://files.tungsten.run/uploads/3d4499fbc4e046c199a02e34091dfd07/00001-3568519758.webp
https://files.tungsten.run/uploads/4bc0730654af4fac93444f360df4dde7/00002-3568519759.webp
This example was created by evevalentine2017
Finished in 174.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, essence of beauty, sensuality, black and red, intricate details, fury, wind, rain, force of nature, ecstasy, maximum detail, hyperrealistic, 3D , <lora:xl_yamer_style-3.0:0.15> Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolution, extra fingers, blur, blurry, ugly, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, deformation, skin moles 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:03<01:52, 3.32s/it] 6%|▌ | 2/35 [00:06<01:40, 3.05s/it] 9%|▊ | 3/35 [00:09<01:36, 3.01s/it] 11%|█▏ | 4/35 [00:11<01:30, 2.90s/it] 14%|█▍ | 5/35 [00:14<01:25, 2.85s/it] 17%|█▋ | 6/35 [00:17<01:22, 2.84s/it] 20%|██ | 7/35 [00:20<01:18, 2.82s/it] 23%|██▎ | 8/35 [00:23<01:15, 2.80s/it] 26%|██▌ | 9/35 [00:25<01:12, 2.77s/it] 29%|██▊ | 10/35 [00:28<01:11, 2.84s/it] 31%|███▏ | 11/35 [00:31<01:07, 2.83s/it] 34%|███▍ | 12/35 [00:34<01:04, 2.78s/it] 37%|███▋ | 13/35 [00:37<01:02, 2.84s/it] 40%|████ | 14/35 [00:39<00:57, 2.72s/it] 43%|████▎ | 15/35 [00:42<00:53, 2.69s/it] 46%|████▌ | 16/35 [00:44<00:50, 2.66s/it] 49%|████▊ | 17/35 [00:47<00:48, 2.71s/it] 51%|█████▏ | 18/35 [00:50<00:46, 2.72s/it] 54%|█████▍ | 19/35 [00:53<00:43, 2.72s/it] 57%|█████▋ | 20/35 [00:55<00:40, 2.70s/it] 60%|██████ | 21/35 [00:58<00:37, 2.69s/it] 63%|██████▎ | 22/35 [01:00<00:33, 2.61s/it] 66%|██████▌ | 23/35 [01:03<00:31, 2.64s/it] 69%|██████▊ | 24/35 [01:06<00:28, 2.64s/it] 71%|███████▏ | 25/35 [01:08<00:26, 2.64s/it] 74%|███████▍ | 26/35 [01:11<00:23, 2.66s/it] 77%|███████▋ | 27/35 [01:14<00:20, 2.62s/it] 80%|████████ | 28/35 [01:16<00:18, 2.60s/it] 83%|████████▎ | 29/35 [01:18<00:15, 2.53s/it] 86%|████████▌ | 30/35 [01:21<00:12, 2.52s/it] 89%|████████▊ | 31/35 [01:23<00:09, 2.49s/it] 91%|█████████▏| 32/35 [01:26<00:07, 2.40s/it] 94%|█████████▍| 33/35 [01:28<00:04, 2.34s/it] 97%|█████████▋| 34/35 [01:29<00:02, 2.10s/it] 100%|██████████| 35/35 [01:31<00:00, 1.87s/it] 100%|██████████| 35/35 [01:31<00:00, 2.60s/it] Decoding latents in cuda:0... done in 2.34s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 18.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:13, 1.14it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.19it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.27it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.25it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.25it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.25it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.22it/s] 50%|█████ | 8/16 [00:06<00:06, 1.24it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.25it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.29it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.29it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.29it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.35it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.40it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.57it/s] 100%|██████████| 16/16 [00:11<00:00, 1.78it/s] 100%|██████████| 16/16 [00:11<00:00, 1.37it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.20it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.20it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.27it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.25it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.24it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.23it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.21it/s] 50%|█████ | 8/16 [00:06<00:06, 1.23it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.24it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.28it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.27it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.29it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.35it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.38it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.56it/s] 100%|██████████| 16/16 [00:11<00:00, 1.68it/s] 100%|██████████| 16/16 [00:11<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 17.0ms Speed: 5.0ms preprocess, 17.0ms inference, 3.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.21it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.21it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.27it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.21it/s] 31%|███▏ | 5/16 [00:04<00:09, 1.21it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.20it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.17it/s] 50%|█████ | 8/16 [00:06<00:06, 1.15it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.19it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.24it/s] 69%|██████▉ | 11/16 [00:09<00:04, 1.24it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.26it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.32it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.33it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.51it/s] 100%|██████████| 16/16 [00:12<00:00, 1.72it/s] 100%|██████████| 16/16 [00:12<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.16it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.19it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.26it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.24it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.23it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.23it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.20it/s] 50%|█████ | 8/16 [00:06<00:06, 1.22it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.23it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.27it/s] 69%|██████▉ | 11/16 [00:08<00:04, 1.23it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.22it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.28it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.30it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.47it/s] 100%|██████████| 16/16 [00:12<00:00, 1.67it/s] 100%|██████████| 16/16 [00:12<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.21it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.21it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.28it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.24it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.24it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.24it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.22it/s] 50%|█████ | 8/16 [00:06<00:06, 1.23it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.24it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.28it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.28it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.29it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.35it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.38it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.55it/s] 100%|██████████| 16/16 [00:11<00:00, 1.76it/s] 100%|██████████| 16/16 [00:11<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
sdxlyamersstyle
Sdxlyamersstyle
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
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/de0d9cf2ad3645018bc39a8f474cbeb3/00000-3568519757.webp
https://files.tungsten.run/uploads/3d4499fbc4e046c199a02e34091dfd07/00001-3568519758.webp
https://files.tungsten.run/uploads/4bc0730654af4fac93444f360df4dde7/00002-3568519759.webp
This example was created by evevalentine2017
Finished in 174.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, essence of beauty, sensuality, black and red, intricate details, fury, wind, rain, force of nature, ecstasy, maximum detail, hyperrealistic, 3D , <lora:xl_yamer_style-3.0:0.15> Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolution, extra fingers, blur, blurry, ugly, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, deformation, skin moles 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:03<01:52, 3.32s/it] 6%|▌ | 2/35 [00:06<01:40, 3.05s/it] 9%|▊ | 3/35 [00:09<01:36, 3.01s/it] 11%|█▏ | 4/35 [00:11<01:30, 2.90s/it] 14%|█▍ | 5/35 [00:14<01:25, 2.85s/it] 17%|█▋ | 6/35 [00:17<01:22, 2.84s/it] 20%|██ | 7/35 [00:20<01:18, 2.82s/it] 23%|██▎ | 8/35 [00:23<01:15, 2.80s/it] 26%|██▌ | 9/35 [00:25<01:12, 2.77s/it] 29%|██▊ | 10/35 [00:28<01:11, 2.84s/it] 31%|███▏ | 11/35 [00:31<01:07, 2.83s/it] 34%|███▍ | 12/35 [00:34<01:04, 2.78s/it] 37%|███▋ | 13/35 [00:37<01:02, 2.84s/it] 40%|████ | 14/35 [00:39<00:57, 2.72s/it] 43%|████▎ | 15/35 [00:42<00:53, 2.69s/it] 46%|████▌ | 16/35 [00:44<00:50, 2.66s/it] 49%|████▊ | 17/35 [00:47<00:48, 2.71s/it] 51%|█████▏ | 18/35 [00:50<00:46, 2.72s/it] 54%|█████▍ | 19/35 [00:53<00:43, 2.72s/it] 57%|█████▋ | 20/35 [00:55<00:40, 2.70s/it] 60%|██████ | 21/35 [00:58<00:37, 2.69s/it] 63%|██████▎ | 22/35 [01:00<00:33, 2.61s/it] 66%|██████▌ | 23/35 [01:03<00:31, 2.64s/it] 69%|██████▊ | 24/35 [01:06<00:28, 2.64s/it] 71%|███████▏ | 25/35 [01:08<00:26, 2.64s/it] 74%|███████▍ | 26/35 [01:11<00:23, 2.66s/it] 77%|███████▋ | 27/35 [01:14<00:20, 2.62s/it] 80%|████████ | 28/35 [01:16<00:18, 2.60s/it] 83%|████████▎ | 29/35 [01:18<00:15, 2.53s/it] 86%|████████▌ | 30/35 [01:21<00:12, 2.52s/it] 89%|████████▊ | 31/35 [01:23<00:09, 2.49s/it] 91%|█████████▏| 32/35 [01:26<00:07, 2.40s/it] 94%|█████████▍| 33/35 [01:28<00:04, 2.34s/it] 97%|█████████▋| 34/35 [01:29<00:02, 2.10s/it] 100%|██████████| 35/35 [01:31<00:00, 1.87s/it] 100%|██████████| 35/35 [01:31<00:00, 2.60s/it] Decoding latents in cuda:0... done in 2.34s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 18.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:13, 1.14it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.19it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.27it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.25it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.25it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.25it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.22it/s] 50%|█████ | 8/16 [00:06<00:06, 1.24it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.25it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.29it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.29it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.29it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.35it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.40it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.57it/s] 100%|██████████| 16/16 [00:11<00:00, 1.78it/s] 100%|██████████| 16/16 [00:11<00:00, 1.37it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.20it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.20it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.27it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.25it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.24it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.23it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.21it/s] 50%|█████ | 8/16 [00:06<00:06, 1.23it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.24it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.28it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.27it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.29it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.35it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.38it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.56it/s] 100%|██████████| 16/16 [00:11<00:00, 1.68it/s] 100%|██████████| 16/16 [00:11<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 17.0ms Speed: 5.0ms preprocess, 17.0ms inference, 3.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.21it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.21it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.27it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.21it/s] 31%|███▏ | 5/16 [00:04<00:09, 1.21it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.20it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.17it/s] 50%|█████ | 8/16 [00:06<00:06, 1.15it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.19it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.24it/s] 69%|██████▉ | 11/16 [00:09<00:04, 1.24it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.26it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.32it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.33it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.51it/s] 100%|██████████| 16/16 [00:12<00:00, 1.72it/s] 100%|██████████| 16/16 [00:12<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.16it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.19it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.26it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.24it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.23it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.23it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.20it/s] 50%|█████ | 8/16 [00:06<00:06, 1.22it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.23it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.27it/s] 69%|██████▉ | 11/16 [00:08<00:04, 1.23it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.22it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.28it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.30it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.47it/s] 100%|██████████| 16/16 [00:12<00:00, 1.67it/s] 100%|██████████| 16/16 [00:12<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.21it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.21it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.28it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.24it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.24it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.24it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.22it/s] 50%|█████ | 8/16 [00:06<00:06, 1.23it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.24it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.28it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.28it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.29it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.35it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.38it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.55it/s] 100%|██████████| 16/16 [00:11<00:00, 1.76it/s] 100%|██████████| 16/16 [00:11<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.