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.
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Output
https://files.tungsten.run/uploads/708b816118ca42d09ab3afe2c8f8925b/00000-1529647812.webp
https://files.tungsten.run/uploads/6360533af14e41e6a039e6b4fdf6904c/00001-1529647813.webp
https://files.tungsten.run/uploads/1a0bbd0577524ea48d361658130d1de4/00002-1529647814.webp
https://files.tungsten.run/uploads/659bc81fed7e4018be9b194a8dd1e5fe/00003-1529647815.webp
This example was created by evevalentine2017
Finished in 87.3 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: full body shot, man and woman together in love, connected, full body, merging together, dancing, passion, warmth, soul, cosmic, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:0.45> Full negative prompt: ((portrait:2)), focus on face, 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<01:01, 1.24s/it] 4%|▍ | 2/51 [00:01<00:43, 1.13it/s] 6%|▌ | 3/51 [00:02<00:36, 1.31it/s] 8%|▊ | 4/51 [00:03<00:33, 1.40it/s] 10%|▉ | 5/51 [00:03<00:31, 1.46it/s] 12%|█▏ | 6/51 [00:04<00:30, 1.50it/s] 14%|█▎ | 7/51 [00:05<00:28, 1.52it/s] 16%|█▌ | 8/51 [00:05<00:27, 1.54it/s] 18%|█▊ | 9/51 [00:06<00:27, 1.55it/s] 20%|█▉ | 10/51 [00:06<00:26, 1.56it/s] 22%|██▏ | 11/51 [00:07<00:25, 1.57it/s] 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1.56it/s] 71%|███████ | 36/51 [00:23<00:09, 1.56it/s] 73%|███████▎ | 37/51 [00:24<00:08, 1.56it/s] 75%|███████▍ | 38/51 [00:24<00:08, 1.56it/s] 76%|███████▋ | 39/51 [00:25<00:07, 1.56it/s] 78%|███████▊ | 40/51 [00:26<00:07, 1.56it/s] 80%|████████ | 41/51 [00:26<00:06, 1.56it/s] 82%|████████▏ | 42/51 [00:27<00:05, 1.56it/s] 84%|████████▍ | 43/51 [00:28<00:05, 1.56it/s] 86%|████████▋ | 44/51 [00:28<00:04, 1.56it/s] 88%|████████▊ | 45/51 [00:29<00:03, 1.56it/s] 90%|█████████ | 46/51 [00:29<00:03, 1.56it/s] 92%|█████████▏| 47/51 [00:30<00:02, 1.55it/s] 94%|█████████▍| 48/51 [00:31<00:01, 1.55it/s] 96%|█████████▌| 49/51 [00:31<00:01, 1.56it/s] 98%|█████████▊| 50/51 [00:32<00:00, 1.55it/s] 100%|██████████| 51/51 [00:33<00:00, 1.56it/s] 100%|██████████| 51/51 [00:33<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 8.0ms Speed: 3.6ms preprocess, 8.0ms inference, 27.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:08, 3.11it/s] 7%|▋ | 2/29 [00:00<00:05, 4.59it/s] 10%|█ | 3/29 [00:00<00:04, 5.37it/s] 14%|█▍ | 4/29 [00:00<00:04, 5.74it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.08it/s] 21%|██ | 6/29 [00:01<00:03, 6.27it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.33it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.40it/s] 31%|███ | 9/29 [00:01<00:03, 6.47it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.56it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.60it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.43it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.47it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.45it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.50it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.55it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.60it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.62it/s] 66%|██████▌ | 19/29 [00:03<00:01, 6.64it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.62it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.59it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.56it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.60it/s] 83%|████████▎ | 24/29 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55%|█████▌ | 16/29 [00:02<00:01, 6.64it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.64it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.64it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.60it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.60it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.60it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.60it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.63it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.62it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.62it/s] 90%|████████▉ | 26/29 [00:03<00:00, 6.40it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.52it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.56it/s] 100%|██████████| 29/29 [00:04<00:00, 6.58it/s] 100%|██████████| 29/29 [00:04<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:03, 7.04it/s] 7%|▋ | 2/29 [00:00<00:03, 6.83it/s] 10%|█ | 3/29 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93%|█████████▎| 27/29 [00:04<00:00, 6.61it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.61it/s] 100%|██████████| 29/29 [00:04<00:00, 6.61it/s] 100%|██████████| 29/29 [00:04<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.86it/s] 7%|▋ | 2/29 [00:00<00:03, 6.79it/s] 10%|█ | 3/29 [00:00<00:03, 6.77it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.76it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.69it/s] 21%|██ | 6/29 [00:00<00:03, 6.61it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.59it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.61it/s] 31%|███ | 9/29 [00:01<00:03, 6.63it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.65it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.62it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.58it/s] 45%|████▍ | 13/29 [00:01<00:02, 6.57it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.55it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.57it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.61it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.63it/s] 62%|██████▏ | 18/29 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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/708b816118ca42d09ab3afe2c8f8925b/00000-1529647812.webp
https://files.tungsten.run/uploads/6360533af14e41e6a039e6b4fdf6904c/00001-1529647813.webp
https://files.tungsten.run/uploads/1a0bbd0577524ea48d361658130d1de4/00002-1529647814.webp
https://files.tungsten.run/uploads/659bc81fed7e4018be9b194a8dd1e5fe/00003-1529647815.webp
This example was created by evevalentine2017
Finished in 87.3 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: full body shot, man and woman together in love, connected, full body, merging together, dancing, passion, warmth, soul, cosmic, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:0.45> Full negative prompt: ((portrait:2)), focus on face, 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<01:01, 1.24s/it] 4%|▍ | 2/51 [00:01<00:43, 1.13it/s] 6%|▌ | 3/51 [00:02<00:36, 1.31it/s] 8%|▊ | 4/51 [00:03<00:33, 1.40it/s] 10%|▉ | 5/51 [00:03<00:31, 1.46it/s] 12%|█▏ | 6/51 [00:04<00:30, 1.50it/s] 14%|█▎ | 7/51 [00:05<00:28, 1.52it/s] 16%|█▌ | 8/51 [00:05<00:27, 1.54it/s] 18%|█▊ | 9/51 [00:06<00:27, 1.55it/s] 20%|█▉ | 10/51 [00:06<00:26, 1.56it/s] 22%|██▏ | 11/51 [00:07<00:25, 1.57it/s] 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1.56it/s] 71%|███████ | 36/51 [00:23<00:09, 1.56it/s] 73%|███████▎ | 37/51 [00:24<00:08, 1.56it/s] 75%|███████▍ | 38/51 [00:24<00:08, 1.56it/s] 76%|███████▋ | 39/51 [00:25<00:07, 1.56it/s] 78%|███████▊ | 40/51 [00:26<00:07, 1.56it/s] 80%|████████ | 41/51 [00:26<00:06, 1.56it/s] 82%|████████▏ | 42/51 [00:27<00:05, 1.56it/s] 84%|████████▍ | 43/51 [00:28<00:05, 1.56it/s] 86%|████████▋ | 44/51 [00:28<00:04, 1.56it/s] 88%|████████▊ | 45/51 [00:29<00:03, 1.56it/s] 90%|█████████ | 46/51 [00:29<00:03, 1.56it/s] 92%|█████████▏| 47/51 [00:30<00:02, 1.55it/s] 94%|█████████▍| 48/51 [00:31<00:01, 1.55it/s] 96%|█████████▌| 49/51 [00:31<00:01, 1.56it/s] 98%|█████████▊| 50/51 [00:32<00:00, 1.55it/s] 100%|██████████| 51/51 [00:33<00:00, 1.56it/s] 100%|██████████| 51/51 [00:33<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 8.0ms Speed: 3.6ms preprocess, 8.0ms inference, 27.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:08, 3.11it/s] 7%|▋ | 2/29 [00:00<00:05, 4.59it/s] 10%|█ | 3/29 [00:00<00:04, 5.37it/s] 14%|█▍ | 4/29 [00:00<00:04, 5.74it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.08it/s] 21%|██ | 6/29 [00:01<00:03, 6.27it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.33it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.40it/s] 31%|███ | 9/29 [00:01<00:03, 6.47it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.56it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.60it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.43it/s] 45%|████▍ | 13/29 [00:02<00:02, 6.47it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.45it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.50it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.55it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.60it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.62it/s] 66%|██████▌ | 19/29 [00:03<00:01, 6.64it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.62it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.59it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.56it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.60it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.62it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.65it/s] 90%|████████▉ | 26/29 [00:04<00:00, 6.62it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.62it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.60it/s] 100%|██████████| 29/29 [00:04<00:00, 6.58it/s] 100%|██████████| 29/29 [00:04<00:00, 6.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.82it/s] 7%|▋ | 2/29 [00:00<00:03, 6.76it/s] 10%|█ | 3/29 [00:00<00:03, 6.78it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.75it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.66it/s] 21%|██ | 6/29 [00:00<00:03, 6.54it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.55it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.60it/s] 31%|███ | 9/29 [00:01<00:03, 6.65it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.67it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.67it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.63it/s] 45%|████▍ | 13/29 [00:01<00:02, 6.53it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.56it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.61it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.64it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.64it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.64it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.60it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.60it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.60it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.60it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.63it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.62it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.62it/s] 90%|████████▉ | 26/29 [00:03<00:00, 6.40it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.52it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.56it/s] 100%|██████████| 29/29 [00:04<00:00, 6.58it/s] 100%|██████████| 29/29 [00:04<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:03, 7.04it/s] 7%|▋ | 2/29 [00:00<00:03, 6.83it/s] 10%|█ | 3/29 [00:00<00:03, 6.55it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.62it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.67it/s] 21%|██ | 6/29 [00:00<00:03, 6.61it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.55it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.55it/s] 31%|███ | 9/29 [00:01<00:03, 6.57it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.58it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.61it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.61it/s] 45%|████▍ | 13/29 [00:01<00:02, 6.59it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.57it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.56it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.58it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.60it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.62it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.62it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.60it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.58it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.57it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.60it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.62it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.64it/s] 90%|████████▉ | 26/29 [00:03<00:00, 6.62it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.61it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.61it/s] 100%|██████████| 29/29 [00:04<00:00, 6.61it/s] 100%|██████████| 29/29 [00:04<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.86it/s] 7%|▋ | 2/29 [00:00<00:03, 6.79it/s] 10%|█ | 3/29 [00:00<00:03, 6.77it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.76it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.69it/s] 21%|██ | 6/29 [00:00<00:03, 6.61it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.59it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.61it/s] 31%|███ | 9/29 [00:01<00:03, 6.63it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.65it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.62it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.58it/s] 45%|████▍ | 13/29 [00:01<00:02, 6.57it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.55it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.57it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.61it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.63it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.49it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.53it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.54it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.56it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.58it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.59it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.58it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.58it/s] 90%|████████▉ | 26/29 [00:03<00:00, 6.59it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.59it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.59it/s] 100%|██████████| 29/29 [00:04<00:00, 6.61it/s] 100%|██████████| 29/29 [00:04<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:03, 7.04it/s] 7%|▋ | 2/29 [00:00<00:03, 6.85it/s] 10%|█ | 3/29 [00:00<00:03, 6.82it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.79it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.77it/s] 21%|██ | 6/29 [00:00<00:03, 6.70it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.56it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.55it/s] 31%|███ | 9/29 [00:01<00:03, 6.57it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.61it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.62it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.63it/s] 45%|████▍ | 13/29 [00:01<00:02, 6.60it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.54it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.57it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.56it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.60it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.61it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.60it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.58it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.58it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.55it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.59it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.62it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.63it/s] 90%|████████▉ | 26/29 [00:03<00:00, 6.61it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.59it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.56it/s] 100%|██████████| 29/29 [00:04<00:00, 6.57it/s] 100%|██████████| 29/29 [00:04<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.82it/s] 7%|▋ | 2/29 [00:00<00:03, 6.78it/s] 10%|█ | 3/29 [00:00<00:03, 6.76it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.76it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.67it/s] 21%|██ | 6/29 [00:00<00:03, 6.60it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.58it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.60it/s] 31%|███ | 9/29 [00:01<00:03, 6.63it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.66it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.64it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.61it/s] 45%|████▍ | 13/29 [00:01<00:02, 6.58it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.57it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.60it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.62it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.62it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.62it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.61it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.58it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.59it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.59it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.61it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.44it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.46it/s] 90%|████████▉ | 26/29 [00:03<00:00, 6.48it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.52it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.56it/s] 100%|██████████| 29/29 [00:04<00:00, 6.59it/s] 100%|██████████| 29/29 [00:04<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:03, 7.03it/s] 7%|▋ | 2/29 [00:00<00:03, 6.85it/s] 10%|█ | 3/29 [00:00<00:03, 6.79it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.77it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.73it/s] 21%|██ | 6/29 [00:00<00:03, 6.65it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.57it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.53it/s] 31%|███ | 9/29 [00:01<00:03, 6.57it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.60it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.63it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.65it/s] 45%|████▍ | 13/29 [00:01<00:02, 6.61it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.55it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.47it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.52it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.57it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.59it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.59it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.58it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.54it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.48it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.52it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.55it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.57it/s] 90%|████████▉ | 26/29 [00:03<00:00, 6.56it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.54it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.53it/s] 100%|██████████| 29/29 [00:04<00:00, 6.56it/s] 100%|██████████| 29/29 [00:04<00:00, 6.59it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:04, 6.88it/s] 7%|▋ | 2/29 [00:00<00:03, 6.80it/s] 10%|█ | 3/29 [00:00<00:03, 6.75it/s] 14%|█▍ | 4/29 [00:00<00:03, 6.72it/s] 17%|█▋ | 5/29 [00:00<00:03, 6.62it/s] 21%|██ | 6/29 [00:00<00:03, 6.54it/s] 24%|██▍ | 7/29 [00:01<00:03, 6.52it/s] 28%|██▊ | 8/29 [00:01<00:03, 6.55it/s] 31%|███ | 9/29 [00:01<00:03, 6.50it/s] 34%|███▍ | 10/29 [00:01<00:02, 6.58it/s] 38%|███▊ | 11/29 [00:01<00:02, 6.60it/s] 41%|████▏ | 12/29 [00:01<00:02, 6.56it/s] 45%|████▍ | 13/29 [00:01<00:02, 6.51it/s] 48%|████▊ | 14/29 [00:02<00:02, 6.53it/s] 52%|█████▏ | 15/29 [00:02<00:02, 6.56it/s] 55%|█████▌ | 16/29 [00:02<00:01, 6.58it/s] 59%|█████▊ | 17/29 [00:02<00:01, 6.58it/s] 62%|██████▏ | 18/29 [00:02<00:01, 6.57it/s] 66%|██████▌ | 19/29 [00:02<00:01, 6.56it/s] 69%|██████▉ | 20/29 [00:03<00:01, 6.52it/s] 72%|███████▏ | 21/29 [00:03<00:01, 6.54it/s] 76%|███████▌ | 22/29 [00:03<00:01, 6.57it/s] 79%|███████▉ | 23/29 [00:03<00:00, 6.57it/s] 83%|████████▎ | 24/29 [00:03<00:00, 6.59it/s] 86%|████████▌ | 25/29 [00:03<00:00, 6.56it/s] 90%|████████▉ | 26/29 [00:03<00:00, 6.55it/s] 93%|█████████▎| 27/29 [00:04<00:00, 6.56it/s] 97%|█████████▋| 28/29 [00:04<00:00, 6.57it/s] 100%|██████████| 29/29 [00:04<00:00, 6.58it/s] 100%|██████████| 29/29 [00:04<00:00, 6.58it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.