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/9a7755021ae8483d86ea342849a5275e/00000-1110424532.webp
https://files.tungsten.run/uploads/5a2e4b14a15f40678556276cad833583/00001-1110424533.webp
https://files.tungsten.run/uploads/05f1fa8d472a4ee29026fe41cba9ef8c/00002-1110424534.webp
https://files.tungsten.run/uploads/af1022975ca6468f9cf265ecfa410c09/00003-1110424535.webp
This example was created by evevalentine2017
Finished in 82.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: Cowboy shot, man,age 20 years old, beard, short, smile, (medieval armor), (masterpiece, best quality, highres), top_view_perspective, <lora:top_view_perspective-10:0.7>, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_saturation:0.45> Full negative prompt: ((woman)), ((girl)), ((nipples)), ((portrait)), 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), bad-hands-5 0%| | 0/51 [00:00<?, ?it/s] 2%|▏ | 1/51 [00:01<01:04, 1.28s/it] 4%|▍ | 2/51 [00:01<00:45, 1.09it/s] 6%|▌ | 3/51 [00:02<00:38, 1.25it/s] 8%|▊ | 4/51 [00:03<00:35, 1.32it/s] 10%|▉ | 5/51 [00:03<00:33, 1.38it/s] 12%|█▏ | 6/51 [00:04<00:31, 1.42it/s] 14%|█▎ | 7/51 [00:05<00:30, 1.43it/s] 16%|█▌ | 8/51 [00:05<00:29, 1.44it/s] 18%|█▊ | 9/51 [00:06<00:28, 1.45it/s] 20%|█▉ | 10/51 [00:07<00:28, 1.46it/s] 22%|██▏ | 11/51 [00:08<00:27, 1.46it/s] 24%|██▎ | 12/51 [00:08<00:26, 1.47it/s] 25%|██▌ | 13/51 [00:09<00:25, 1.47it/s] 27%|██▋ | 14/51 [00:10<00:25, 1.47it/s] 29%|██▉ | 15/51 [00:10<00:24, 1.47it/s] 31%|███▏ | 16/51 [00:11<00:23, 1.47it/s] 33%|███▎ | 17/51 [00:12<00:23, 1.47it/s] 35%|███▌ | 18/51 [00:12<00:22, 1.47it/s] 37%|███▋ | 19/51 [00:13<00:21, 1.47it/s] 39%|███▉ | 20/51 [00:14<00:21, 1.47it/s] 41%|████ | 21/51 [00:14<00:20, 1.47it/s] 43%|████▎ | 22/51 [00:15<00:19, 1.47it/s] 45%|████▌ | 23/51 [00:16<00:19, 1.47it/s] 47%|████▋ | 24/51 [00:16<00:18, 1.47it/s] 49%|████▉ | 25/51 [00:17<00:17, 1.46it/s] 51%|█████ | 26/51 [00:18<00:17, 1.46it/s] 53%|█████▎ | 27/51 [00:18<00:16, 1.46it/s] 55%|█████▍ | 28/51 [00:19<00:15, 1.47it/s] 57%|█████▋ | 29/51 [00:20<00:15, 1.46it/s] 59%|█████▉ | 30/51 [00:20<00:14, 1.46it/s] 61%|██████ | 31/51 [00:21<00:13, 1.45it/s] 63%|██████▎ | 32/51 [00:22<00:13, 1.45it/s] 65%|██████▍ | 33/51 [00:23<00:12, 1.45it/s] 67%|██████▋ | 34/51 [00:23<00:11, 1.45it/s] 69%|██████▊ | 35/51 [00:24<00:11, 1.45it/s] 71%|███████ | 36/51 [00:25<00:10, 1.45it/s] 73%|███████▎ | 37/51 [00:25<00:09, 1.45it/s] 75%|███████▍ | 38/51 [00:26<00:08, 1.45it/s] 76%|███████▋ | 39/51 [00:27<00:08, 1.45it/s] 78%|███████▊ | 40/51 [00:27<00:07, 1.45it/s] 80%|████████ | 41/51 [00:28<00:06, 1.45it/s] 82%|████████▏ | 42/51 [00:29<00:06, 1.44it/s] 84%|████████▍ | 43/51 [00:29<00:05, 1.45it/s] 86%|████████▋ | 44/51 [00:30<00:04, 1.45it/s] 88%|████████▊ | 45/51 [00:31<00:04, 1.44it/s] 90%|█████████ | 46/51 [00:32<00:03, 1.45it/s] 92%|█████████▏| 47/51 [00:32<00:02, 1.44it/s] 94%|█████████▍| 48/51 [00:33<00:02, 1.45it/s] 96%|█████████▌| 49/51 [00:34<00:01, 1.45it/s] 98%|█████████▊| 50/51 [00:34<00:00, 1.45it/s] 100%|██████████| 51/51 [00:35<00:00, 1.45it/s] 100%|██████████| 51/51 [00:35<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 31.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:08, 3.45it/s] 7%|▋ | 2/29 [00:00<00:05, 4.77it/s] 10%|█ | 3/29 [00:00<00:04, 5.40it/s] 14%|█▍ | 4/29 [00:00<00:04, 5.76it/s] 17%|█▋ | 5/29 [00:00<00:04, 5.98it/s] 21%|██ | 6/29 [00:01<00:03, 6.06it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.13it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.22it/s] 31%|███ | 9/29 [00:01<00:03, 6.29it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.34it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.38it/s] 41%|████▏ | 12/29 [00:02<00:02, 6.38it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.36it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.37it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.36it/s] 55%|█████▌ | 16/29 [00:02<00:02, 6.34it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.33it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.33it/s] 66%|██████▌ | 19/29 [00:03<00:01, 6.33it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.34it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.35it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.31it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.31it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.31it/s] 86%|████████▌ | 25/29 [00:04<00:00, 6.30it/s] 90%|████████▉ | 26/29 [00:04<00:00, 6.33it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.35it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.33it/s] 100%|██████████| 29/29 [00:04<00:00, 6.33it/s] 100%|██████████| 29/29 [00:04<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.87it/s] 7%|▋ | 2/29 [00:00<00:04, 6.63it/s] 10%|█ | 3/29 [00:00<00:03, 6.57it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.53it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.53it/s] 21%|██ | 6/29 [00:00<00:03, 6.39it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.28it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.31it/s] 31%|███ | 9/29 [00:01<00:03, 6.36it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.39it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.41it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.37it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.31it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.30it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.34it/s] 55%|█████▌ | 16/29 [00:02<00:02, 6.38it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.39it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.33it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.28it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.27it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.28it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.34it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.38it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.38it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.32it/s] 90%|████████▉ | 26/29 [00:04<00:00, 6.28it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.29it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.32it/s] 100%|██████████| 29/29 [00:04<00:00, 6.35it/s] 100%|██████████| 29/29 [00:04<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.82it/s] 7%|▋ | 2/29 [00:00<00:04, 6.62it/s] 10%|█ | 3/29 [00:00<00:03, 6.57it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.54it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.52it/s] 21%|██ | 6/29 [00:00<00:03, 6.41it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.28it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.24it/s] 31%|███ | 9/29 [00:01<00:03, 6.30it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.36it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.40it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.36it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.33it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.29it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.31it/s] 55%|█████▌ | 16/29 [00:02<00:02, 6.37it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.41it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.39it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.32it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.28it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.29it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.33it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.38it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.36it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.32it/s] 90%|████████▉ | 26/29 [00:04<00:00, 6.28it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.30it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.30it/s] 100%|██████████| 29/29 [00:04<00:00, 6.35it/s] 100%|██████████| 29/29 [00:04<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.6ms Speed: 2.8ms preprocess, 8.6ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.79it/s] 7%|▋ | 2/29 [00:00<00:04, 6.61it/s] 10%|█ | 3/29 [00:00<00:03, 6.55it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.53it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.51it/s] 21%|██ | 6/29 [00:00<00:03, 6.36it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.28it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.25it/s] 31%|███ | 9/29 [00:01<00:03, 6.27it/s] 34%|███▍ | 10/29 [00:01<00:03, 6.31it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.36it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.35it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.29it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.25it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.29it/s] 55%|█████▌ | 16/29 [00:02<00:02, 6.32it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.37it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.34it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.30it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.24it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.28it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.31it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.35it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.36it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.29it/s] 90%|████████▉ | 26/29 [00:04<00:00, 6.24it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.23it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.25it/s] 100%|██████████| 29/29 [00:04<00:00, 6.30it/s] 100%|██████████| 29/29 [00:04<00:00, 6.33it/s] Decoding latents in cuda:0... done in 0.24s 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
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/9a7755021ae8483d86ea342849a5275e/00000-1110424532.webp
https://files.tungsten.run/uploads/5a2e4b14a15f40678556276cad833583/00001-1110424533.webp
https://files.tungsten.run/uploads/05f1fa8d472a4ee29026fe41cba9ef8c/00002-1110424534.webp
https://files.tungsten.run/uploads/af1022975ca6468f9cf265ecfa410c09/00003-1110424535.webp
This example was created by evevalentine2017
Finished in 82.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: Cowboy shot, man,age 20 years old, beard, short, smile, (medieval armor), (masterpiece, best quality, highres), top_view_perspective, <lora:top_view_perspective-10:0.7>, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_saturation:0.45> Full negative prompt: ((woman)), ((girl)), ((nipples)), ((portrait)), 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), bad-hands-5 0%| | 0/51 [00:00<?, ?it/s] 2%|▏ | 1/51 [00:01<01:04, 1.28s/it] 4%|▍ | 2/51 [00:01<00:45, 1.09it/s] 6%|▌ | 3/51 [00:02<00:38, 1.25it/s] 8%|▊ | 4/51 [00:03<00:35, 1.32it/s] 10%|▉ | 5/51 [00:03<00:33, 1.38it/s] 12%|█▏ | 6/51 [00:04<00:31, 1.42it/s] 14%|█▎ | 7/51 [00:05<00:30, 1.43it/s] 16%|█▌ | 8/51 [00:05<00:29, 1.44it/s] 18%|█▊ | 9/51 [00:06<00:28, 1.45it/s] 20%|█▉ | 10/51 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31.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:08, 3.45it/s] 7%|▋ | 2/29 [00:00<00:05, 4.77it/s] 10%|█ | 3/29 [00:00<00:04, 5.40it/s] 14%|█▍ | 4/29 [00:00<00:04, 5.76it/s] 17%|█▋ | 5/29 [00:00<00:04, 5.98it/s] 21%|██ | 6/29 [00:01<00:03, 6.06it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.13it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.22it/s] 31%|███ | 9/29 [00:01<00:03, 6.29it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.34it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.38it/s] 41%|████▏ | 12/29 [00:02<00:02, 6.38it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.36it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.37it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.36it/s] 55%|█████▌ | 16/29 [00:02<00:02, 6.34it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.33it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.33it/s] 66%|██████▌ | 19/29 [00:03<00:01, 6.33it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.34it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.35it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.31it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.31it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.31it/s] 86%|████████▌ | 25/29 [00:04<00:00, 6.30it/s] 90%|████████▉ | 26/29 [00:04<00:00, 6.33it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.35it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.33it/s] 100%|██████████| 29/29 [00:04<00:00, 6.33it/s] 100%|██████████| 29/29 [00:04<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.87it/s] 7%|▋ | 2/29 [00:00<00:04, 6.63it/s] 10%|█ | 3/29 [00:00<00:03, 6.57it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.53it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.53it/s] 21%|██ | 6/29 [00:00<00:03, 6.39it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.28it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.31it/s] 31%|███ | 9/29 [00:01<00:03, 6.36it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.39it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.41it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.37it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.31it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.30it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.34it/s] 55%|█████▌ | 16/29 [00:02<00:02, 6.38it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.39it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.33it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.28it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.27it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.28it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.34it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.38it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.38it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.32it/s] 90%|████████▉ | 26/29 [00:04<00:00, 6.28it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.29it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.32it/s] 100%|██████████| 29/29 [00:04<00:00, 6.35it/s] 100%|██████████| 29/29 [00:04<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.82it/s] 7%|▋ | 2/29 [00:00<00:04, 6.62it/s] 10%|█ | 3/29 [00:00<00:03, 6.57it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.54it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.52it/s] 21%|██ | 6/29 [00:00<00:03, 6.41it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.28it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.24it/s] 31%|███ | 9/29 [00:01<00:03, 6.30it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.36it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.40it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.36it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.33it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.29it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.31it/s] 55%|█████▌ | 16/29 [00:02<00:02, 6.37it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.41it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.39it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.32it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.28it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.29it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.33it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.38it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.36it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.32it/s] 90%|████████▉ | 26/29 [00:04<00:00, 6.28it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.30it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.30it/s] 100%|██████████| 29/29 [00:04<00:00, 6.35it/s] 100%|██████████| 29/29 [00:04<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.6ms Speed: 2.8ms preprocess, 8.6ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.79it/s] 7%|▋ | 2/29 [00:00<00:04, 6.61it/s] 10%|█ | 3/29 [00:00<00:03, 6.55it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.53it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.51it/s] 21%|██ | 6/29 [00:00<00:03, 6.36it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.28it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.25it/s] 31%|███ | 9/29 [00:01<00:03, 6.27it/s] 34%|███▍ | 10/29 [00:01<00:03, 6.31it/s] 38%|███▊ | 11/29 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Finished.