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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/80e9a16066b74d2caf94088405a3efb1/00000-3568519757.webp
https://files.tungsten.run/uploads/05a0c2ce74f54b828dec50e944bbe7ac/00001-3568519758.webp
https://files.tungsten.run/uploads/8e3cf34bab8f497ab7eaa752df8637ed/00002-3568519759.webp
This example was created by evevalentine2017
Finished in 208.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, masterpiece), (best quality), (ultra-detailed), (intricate details), A fairy made of golden flowers, bokeh, highly detailed, realistic, lifelike, glitter particles in the air, studio photo, highly detailed, dynamic, cinematic, masterpiece, intricate, HDR, abstract fractal, romantic atmosphere, award-winning photo, <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<01:51, 3.29s/it] 6%|▌ | 2/35 [00:05<01:35, 2.90s/it] 9%|▊ | 3/35 [00:08<01:33, 2.92s/it] 11%|█▏ | 4/35 [00:11<01:27, 2.83s/it] 14%|█▍ | 5/35 [00:14<01:23, 2.79s/it] 17%|█▋ | 6/35 [00:17<01:20, 2.79s/it] 20%|██ | 7/35 [00:19<01:17, 2.78s/it] 23%|██▎ | 8/35 [00:22<01:14, 2.76s/it] 26%|██▌ | 9/35 [00:25<01:11, 2.74s/it] 29%|██▊ | 10/35 [00:28<01:09, 2.77s/it] 31%|███▏ | 11/35 [00:30<01:06, 2.76s/it] 34%|███▍ | 12/35 [00:33<01:02, 2.72s/it] 37%|███▋ | 13/35 [00:36<01:00, 2.76s/it] 40%|████ | 14/35 [00:38<00:55, 2.62s/it] 43%|████▎ | 15/35 [00:41<00:51, 2.59s/it] 46%|████▌ | 16/35 [00:43<00:49, 2.58s/it] 49%|████▊ | 17/35 [00:46<00:47, 2.64s/it] 51%|█████▏ | 18/35 [00:49<00:45, 2.65s/it] 54%|█████▍ | 19/35 [00:51<00:42, 2.63s/it] 57%|█████▋ | 20/35 [00:54<00:38, 2.59s/it] 60%|██████ | 21/35 [00:56<00:36, 2.58s/it] 63%|██████▎ | 22/35 [00:59<00:32, 2.49s/it] 66%|██████▌ | 23/35 [01:01<00:30, 2.51s/it] 69%|██████▊ | 24/35 [01:04<00:27, 2.51s/it] 71%|███████▏ | 25/35 [01:06<00:25, 2.51s/it] 74%|███████▍ | 26/35 [01:09<00:22, 2.55s/it] 77%|███████▋ | 27/35 [01:11<00:20, 2.52s/it] 80%|████████ | 28/35 [01:14<00:17, 2.49s/it] 83%|████████▎ | 29/35 [01:16<00:14, 2.44s/it] 86%|████████▌ | 30/35 [01:18<00:12, 2.45s/it] 89%|████████▊ | 31/35 [01:21<00:09, 2.43s/it] 91%|█████████▏| 32/35 [01:23<00:06, 2.33s/it] 94%|█████████▍| 33/35 [01:25<00:04, 2.25s/it] 97%|█████████▋| 34/35 [01:26<00:02, 2.02s/it] 100%|██████████| 35/35 [01:28<00:00, 1.80s/it] 100%|██████████| 35/35 [01:28<00:00, 2.52s/it] Decoding latents in cuda:0... done in 2.34s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 15.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:13, 1.12it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.18it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.26it/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<00:08, 1.24it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.21it/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, 1.28it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.29it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.34it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.39it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.56it/s] 100%|██████████| 16/16 [00:11<00:00, 1.78it/s] 100%|██████████| 16/16 [00:11<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms 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, 1.21it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.22it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.26it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.26it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.26it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.24it/s] 50%|█████ | 8/16 [00:06<00:06, 1.25it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.30it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.30it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.32it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.37it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.42it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.60it/s] 100%|██████████| 16/16 [00:11<00:00, 1.81it/s] 100%|██████████| 16/16 [00:11<00:00, 1.39it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 4 hands, 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, 1.22it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.24it/s] 19%|█▉ | 3/16 [00:02<00:09, 1.30it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.27it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.27it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.24it/s] 50%|█████ | 8/16 [00:06<00:06, 1.26it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.27it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.31it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.31it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.31it/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, 1.79it/s] 100%|██████████| 16/16 [00:11<00:00, 1.39it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.21it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.22it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.26it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.26it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.25it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.23it/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, 1.30it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.30it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.31it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.37it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.41it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.58it/s] 100%|██████████| 16/16 [00:11<00:00, 1.80it/s] 100%|██████████| 16/16 [00:11<00:00, 1.38it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.23it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.24it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.30it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.27it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.26it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.24it/s] 50%|█████ | 8/16 [00:06<00:06, 1.26it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.31it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.30it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.32it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.38it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.41it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.59it/s] 100%|██████████| 16/16 [00:11<00:00, 1.80it/s] 100%|██████████| 16/16 [00:11<00:00, 1.39it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.22it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.22it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.27it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.26it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.24it/s] 50%|█████ | 8/16 [00:06<00:06, 1.26it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/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, 1.30it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.35it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.39it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.56it/s] 100%|██████████| 16/16 [00:11<00:00, 1.77it/s] 100%|██████████| 16/16 [00:11<00:00, 1.38it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.19it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.22it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.27it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.26it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.23it/s] 50%|█████ | 8/16 [00:06<00:06, 1.25it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.31it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.30it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.30it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.36it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.41it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.58it/s] 100%|██████████| 16/16 [00:11<00:00, 1.80it/s] 100%|██████████| 16/16 [00:11<00:00, 1.38it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 3.1ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.17it/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, 1.24it/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, 1.24it/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, 1.30it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.36it/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, 1.79it/s] 100%|██████████| 16/16 [00:11<00:00, 1.37it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 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/80e9a16066b74d2caf94088405a3efb1/00000-3568519757.webp
https://files.tungsten.run/uploads/05a0c2ce74f54b828dec50e944bbe7ac/00001-3568519758.webp
https://files.tungsten.run/uploads/8e3cf34bab8f497ab7eaa752df8637ed/00002-3568519759.webp
This example was created by evevalentine2017
Finished in 208.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, masterpiece), (best quality), (ultra-detailed), (intricate details), A fairy made of golden flowers, bokeh, highly detailed, realistic, lifelike, glitter particles in the air, studio photo, highly detailed, dynamic, cinematic, masterpiece, intricate, HDR, abstract fractal, romantic atmosphere, award-winning photo, <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<01:51, 3.29s/it] 6%|▌ | 2/35 [00:05<01:35, 2.90s/it] 9%|▊ | 3/35 [00:08<01:33, 2.92s/it] 11%|█▏ | 4/35 [00:11<01:27, 2.83s/it] 14%|█▍ | 5/35 [00:14<01:23, 2.79s/it] 17%|█▋ | 6/35 [00:17<01:20, 2.79s/it] 20%|██ | 7/35 [00:19<01:17, 2.78s/it] 23%|██▎ | 8/35 [00:22<01:14, 2.76s/it] 26%|██▌ | 9/35 [00:25<01:11, 2.74s/it] 29%|██▊ | 10/35 [00:28<01:09, 2.77s/it] 31%|███▏ | 11/35 [00:30<01:06, 2.76s/it] 34%|███▍ | 12/35 [00:33<01:02, 2.72s/it] 37%|███▋ | 13/35 [00:36<01:00, 2.76s/it] 40%|████ | 14/35 [00:38<00:55, 2.62s/it] 43%|████▎ | 15/35 [00:41<00:51, 2.59s/it] 46%|████▌ | 16/35 [00:43<00:49, 2.58s/it] 49%|████▊ | 17/35 [00:46<00:47, 2.64s/it] 51%|█████▏ | 18/35 [00:49<00:45, 2.65s/it] 54%|█████▍ | 19/35 [00:51<00:42, 2.63s/it] 57%|█████▋ | 20/35 [00:54<00:38, 2.59s/it] 60%|██████ | 21/35 [00:56<00:36, 2.58s/it] 63%|██████▎ | 22/35 [00:59<00:32, 2.49s/it] 66%|██████▌ | 23/35 [01:01<00:30, 2.51s/it] 69%|██████▊ | 24/35 [01:04<00:27, 2.51s/it] 71%|███████▏ | 25/35 [01:06<00:25, 2.51s/it] 74%|███████▍ | 26/35 [01:09<00:22, 2.55s/it] 77%|███████▋ | 27/35 [01:11<00:20, 2.52s/it] 80%|████████ | 28/35 [01:14<00:17, 2.49s/it] 83%|████████▎ | 29/35 [01:16<00:14, 2.44s/it] 86%|████████▌ | 30/35 [01:18<00:12, 2.45s/it] 89%|████████▊ | 31/35 [01:21<00:09, 2.43s/it] 91%|█████████▏| 32/35 [01:23<00:06, 2.33s/it] 94%|█████████▍| 33/35 [01:25<00:04, 2.25s/it] 97%|█████████▋| 34/35 [01:26<00:02, 2.02s/it] 100%|██████████| 35/35 [01:28<00:00, 1.80s/it] 100%|██████████| 35/35 [01:28<00:00, 2.52s/it] Decoding latents in cuda:0... done in 2.34s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 15.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:13, 1.12it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.18it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.26it/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<00:08, 1.24it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.21it/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, 1.28it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.29it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.34it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.39it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.56it/s] 100%|██████████| 16/16 [00:11<00:00, 1.78it/s] 100%|██████████| 16/16 [00:11<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms 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, 1.21it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.22it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.26it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.26it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.26it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.24it/s] 50%|█████ | 8/16 [00:06<00:06, 1.25it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.30it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.30it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.32it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.37it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.42it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.60it/s] 100%|██████████| 16/16 [00:11<00:00, 1.81it/s] 100%|██████████| 16/16 [00:11<00:00, 1.39it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 4 hands, 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, 1.22it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.24it/s] 19%|█▉ | 3/16 [00:02<00:09, 1.30it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.27it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.27it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.24it/s] 50%|█████ | 8/16 [00:06<00:06, 1.26it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.27it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.31it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.31it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.31it/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, 1.79it/s] 100%|██████████| 16/16 [00:11<00:00, 1.39it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.21it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.22it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.26it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.26it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.25it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.23it/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, 1.30it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.30it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.31it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.37it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.41it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.58it/s] 100%|██████████| 16/16 [00:11<00:00, 1.80it/s] 100%|██████████| 16/16 [00:11<00:00, 1.38it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.23it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.24it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.30it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.27it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.26it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.24it/s] 50%|█████ | 8/16 [00:06<00:06, 1.26it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.31it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.30it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.32it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.38it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.41it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.59it/s] 100%|██████████| 16/16 [00:11<00:00, 1.80it/s] 100%|██████████| 16/16 [00:11<00:00, 1.39it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.22it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.22it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.27it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.26it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.24it/s] 50%|█████ | 8/16 [00:06<00:06, 1.26it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/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, 1.30it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.35it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.39it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.56it/s] 100%|██████████| 16/16 [00:11<00:00, 1.77it/s] 100%|██████████| 16/16 [00:11<00:00, 1.38it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.19it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.22it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.27it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.26it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.23it/s] 50%|█████ | 8/16 [00:06<00:06, 1.25it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.31it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.30it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.30it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.36it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.41it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.58it/s] 100%|██████████| 16/16 [00:11<00:00, 1.80it/s] 100%|██████████| 16/16 [00:11<00:00, 1.38it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 3.1ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.17it/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, 1.24it/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, 1.24it/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, 1.30it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.36it/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, 1.79it/s] 100%|██████████| 16/16 [00:11<00:00, 1.37it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s Uploading outputs... Finished.