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/a278da12a3104aac9a441d3e2ff14a7d/00000-3855792058.webp
https://files.tungsten.run/uploads/dc3932dd43064c91a639d562286a6ca0/00001-3855792059.webp
https://files.tungsten.run/uploads/e1c94cadcec1453683974a89c5d7b7c1/00002-3855792060.webp
https://files.tungsten.run/uploads/d5bbe1890760459a84050b8ee03a3325/00003-3855792061.webp
This example was created by evevalentine2017
Finished in 58.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: Cowboy shot, masterpiece, best quality, 1girl, hair ornament, hair bell, brown hair, short hair, braid, red eyes, long sleeves, chinese clothes, dress, stuffed animal, smile, outdoors, 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%| | 0/43 [00:00<?, ?it/s] 2%|▏ | 1/43 [00:01<00:51, 1.23s/it] 5%|▍ | 2/43 [00:01<00:36, 1.13it/s] 7%|▋ | 3/43 [00:02<00:30, 1.30it/s] 9%|▉ | 4/43 [00:03<00:28, 1.39it/s] 12%|█▏ | 5/43 [00:03<00:26, 1.45it/s] 14%|█▍ | 6/43 [00:04<00:24, 1.49it/s] 16%|█▋ | 7/43 [00:05<00:23, 1.51it/s] 19%|█▊ | 8/43 [00:05<00:22, 1.52it/s] 21%|██ | 9/43 [00:06<00:22, 1.53it/s] 23%|██▎ | 10/43 [00:07<00:21, 1.53it/s] 26%|██▌ | 11/43 [00:07<00:20, 1.54it/s] 28%|██▊ | 12/43 [00:08<00:20, 1.54it/s] 30%|███ | 13/43 [00:08<00:19, 1.54it/s] 33%|███▎ | 14/43 [00:09<00:18, 1.54it/s] 35%|███▍ | 15/43 [00:10<00:18, 1.54it/s] 37%|███▋ | 16/43 [00:10<00:17, 1.54it/s] 40%|███▉ | 17/43 [00:11<00:16, 1.54it/s] 42%|████▏ | 18/43 [00:12<00:16, 1.54it/s] 44%|████▍ | 19/43 [00:12<00:15, 1.54it/s] 47%|████▋ | 20/43 [00:13<00:14, 1.54it/s] 49%|████▉ | 21/43 [00:14<00:14, 1.54it/s] 51%|█████ | 22/43 [00:14<00:13, 1.54it/s] 53%|█████▎ | 23/43 [00:15<00:13, 1.54it/s] 56%|█████▌ | 24/43 [00:16<00:12, 1.53it/s] 58%|█████▊ | 25/43 [00:16<00:11, 1.54it/s] 60%|██████ | 26/43 [00:17<00:11, 1.54it/s] 63%|██████▎ | 27/43 [00:18<00:10, 1.53it/s] 65%|██████▌ | 28/43 [00:18<00:09, 1.53it/s] 67%|██████▋ | 29/43 [00:19<00:09, 1.53it/s] 70%|██████▉ | 30/43 [00:20<00:08, 1.53it/s] 72%|███████▏ | 31/43 [00:20<00:07, 1.53it/s] 74%|███████▍ | 32/43 [00:21<00:07, 1.53it/s] 77%|███████▋ | 33/43 [00:21<00:06, 1.53it/s] 79%|███████▉ | 34/43 [00:22<00:05, 1.52it/s] 81%|████████▏ | 35/43 [00:23<00:05, 1.53it/s] 84%|████████▎ | 36/43 [00:23<00:04, 1.52it/s] 86%|████████▌ | 37/43 [00:24<00:03, 1.52it/s] 88%|████████▊ | 38/43 [00:25<00:03, 1.52it/s] 91%|█████████ | 39/43 [00:25<00:02, 1.52it/s] 93%|█████████▎| 40/43 [00:26<00:01, 1.53it/s] 95%|█████████▌| 41/43 [00:27<00:01, 1.52it/s] 98%|█████████▊| 42/43 [00:27<00:00, 1.52it/s] 100%|██████████| 43/43 [00:28<00:00, 1.52it/s] 100%|██████████| 43/43 [00:28<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 33.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:06, 3.35it/s] 8%|▊ | 2/24 [00:00<00:04, 4.77it/s] 12%|█▎ | 3/24 [00:00<00:03, 5.48it/s] 17%|█▋ | 4/24 [00:00<00:03, 5.89it/s] 21%|██ | 5/24 [00:00<00:03, 6.15it/s] 25%|██▌ | 6/24 [00:01<00:02, 6.26it/s] 29%|██▉ | 7/24 [00:01<00:02, 6.29it/s] 33%|███▎ | 8/24 [00:01<00:02, 6.38it/s] 38%|███▊ | 9/24 [00:01<00:02, 6.47it/s] 42%|████▏ | 10/24 [00:01<00:02, 6.52it/s] 46%|████▌ | 11/24 [00:01<00:01, 6.55it/s] 50%|█████ | 12/24 [00:01<00:01, 6.56it/s] 54%|█████▍ | 13/24 [00:02<00:01, 6.52it/s] 58%|█████▊ | 14/24 [00:02<00:01, 6.52it/s] 62%|██████▎ | 15/24 [00:02<00:01, 6.52it/s] 67%|██████▋ | 16/24 [00:02<00:01, 6.57it/s] 71%|███████ | 17/24 [00:02<00:01, 6.60it/s] 75%|███████▌ | 18/24 [00:02<00:00, 6.59it/s] 79%|███████▉ | 19/24 [00:03<00:00, 6.47it/s] 83%|████████▎ | 20/24 [00:03<00:00, 6.48it/s] 88%|████████▊ | 21/24 [00:03<00:00, 6.50it/s] 92%|█████████▏| 22/24 [00:03<00:00, 6.52it/s] 96%|█████████▌| 23/24 [00:03<00:00, 6.55it/s] 100%|██████████| 24/24 [00:03<00:00, 6.58it/s] 100%|██████████| 24/24 [00:03<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:03, 6.98it/s] 8%|▊ | 2/24 [00:00<00:03, 6.75it/s] 12%|█▎ | 3/24 [00:00<00:03, 6.70it/s] 17%|█▋ | 4/24 [00:00<00:02, 6.68it/s] 21%|██ | 5/24 [00:00<00:02, 6.67it/s] 25%|██▌ | 6/24 [00:00<00:02, 6.61it/s] 29%|██▉ | 7/24 [00:01<00:02, 6.48it/s] 33%|███▎ | 8/24 [00:01<00:02, 6.48it/s] 38%|███▊ | 9/24 [00:01<00:02, 6.52it/s] 42%|████▏ | 10/24 [00:01<00:02, 6.56it/s] 46%|████▌ | 11/24 [00:01<00:01, 6.59it/s] 50%|█████ | 12/24 [00:01<00:01, 6.60it/s] 54%|█████▍ | 13/24 [00:01<00:01, 6.37it/s] 58%|█████▊ | 14/24 [00:02<00:01, 6.47it/s] 62%|██████▎ | 15/24 [00:02<00:01, 6.51it/s] 67%|██████▋ | 16/24 [00:02<00:01, 6.54it/s] 71%|███████ | 17/24 [00:02<00:01, 6.56it/s] 75%|███████▌ | 18/24 [00:02<00:00, 6.59it/s] 79%|███████▉ | 19/24 [00:02<00:00, 6.56it/s] 83%|████████▎ | 20/24 [00:03<00:00, 6.54it/s] 88%|████████▊ | 21/24 [00:03<00:00, 6.55it/s] 92%|█████████▏| 22/24 [00:03<00:00, 6.56it/s] 96%|█████████▌| 23/24 [00:03<00:00, 6.57it/s] 100%|██████████| 24/24 [00:03<00:00, 6.58it/s] 100%|██████████| 24/24 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:03, 6.93it/s] 8%|▊ | 2/24 [00:00<00:03, 6.75it/s] 12%|█▎ | 3/24 [00:00<00:03, 6.57it/s] 17%|█▋ | 4/24 [00:00<00:03, 6.60it/s] 21%|██ | 5/24 [00:00<00:02, 6.63it/s] 25%|██▌ | 6/24 [00:00<00:02, 6.57it/s] 29%|██▉ | 7/24 [00:01<00:02, 6.50it/s] 33%|███▎ | 8/24 [00:01<00:02, 6.52it/s] 38%|███▊ | 9/24 [00:01<00:02, 6.40it/s] 42%|████▏ | 10/24 [00:01<00:02, 6.49it/s] 46%|████▌ | 11/24 [00:01<00:01, 6.52it/s] 50%|█████ | 12/24 [00:01<00:01, 6.53it/s] 54%|█████▍ | 13/24 [00:01<00:01, 6.52it/s] 58%|█████▊ | 14/24 [00:02<00:01, 6.49it/s] 62%|██████▎ | 15/24 [00:02<00:01, 6.50it/s] 67%|██████▋ | 16/24 [00:02<00:01, 6.51it/s] 71%|███████ | 17/24 [00:02<00:01, 6.54it/s] 75%|███████▌ | 18/24 [00:02<00:00, 6.56it/s] 79%|███████▉ | 19/24 [00:02<00:00, 6.56it/s] 83%|████████▎ | 20/24 [00:03<00:00, 6.52it/s] 88%|████████▊ | 21/24 [00:03<00:00, 6.52it/s] 92%|█████████▏| 22/24 [00:03<00:00, 6.48it/s] 96%|█████████▌| 23/24 [00:03<00:00, 6.47it/s] 100%|██████████| 24/24 [00:03<00:00, 6.50it/s] 100%|██████████| 24/24 [00:03<00:00, 6.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:03, 6.96it/s] 8%|▊ | 2/24 [00:00<00:03, 6.78it/s] 12%|█▎ | 3/24 [00:00<00:03, 6.71it/s] 17%|█▋ | 4/24 [00:00<00:02, 6.69it/s] 21%|██ | 5/24 [00:00<00:02, 6.61it/s] 25%|██▌ | 6/24 [00:00<00:02, 6.43it/s] 29%|██▉ | 7/24 [00:01<00:02, 6.43it/s] 33%|███▎ | 8/24 [00:01<00:02, 6.46it/s] 38%|███▊ | 9/24 [00:01<00:02, 6.50it/s] 42%|████▏ | 10/24 [00:01<00:02, 6.54it/s] 46%|████▌ | 11/24 [00:01<00:01, 6.57it/s] 50%|█████ | 12/24 [00:01<00:01, 6.56it/s] 54%|█████▍ | 13/24 [00:01<00:01, 6.51it/s] 58%|█████▊ | 14/24 [00:02<00:01, 6.51it/s] 62%|██████▎ | 15/24 [00:02<00:01, 6.52it/s] 67%|██████▋ | 16/24 [00:02<00:01, 6.54it/s] 71%|███████ | 17/24 [00:02<00:01, 6.56it/s] 75%|███████▌ | 18/24 [00:02<00:00, 6.57it/s] 79%|███████▉ | 19/24 [00:02<00:00, 6.53it/s] 83%|████████▎ | 20/24 [00:03<00:00, 6.52it/s] 88%|████████▊ | 21/24 [00:03<00:00, 6.53it/s] 92%|█████████▏| 22/24 [00:03<00:00, 6.52it/s] 96%|█████████▌| 23/24 [00:03<00:00, 6.54it/s] 100%|██████████| 24/24 [00:03<00:00, 6.53it/s] 100%|██████████| 24/24 [00:03<00:00, 6.54it/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/a278da12a3104aac9a441d3e2ff14a7d/00000-3855792058.webp
https://files.tungsten.run/uploads/dc3932dd43064c91a639d562286a6ca0/00001-3855792059.webp
https://files.tungsten.run/uploads/e1c94cadcec1453683974a89c5d7b7c1/00002-3855792060.webp
https://files.tungsten.run/uploads/d5bbe1890760459a84050b8ee03a3325/00003-3855792061.webp
This example was created by evevalentine2017
Finished in 58.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: Cowboy shot, masterpiece, best quality, 1girl, hair ornament, hair bell, brown hair, short hair, braid, red eyes, long sleeves, chinese clothes, dress, stuffed animal, smile, outdoors, 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%| | 0/43 [00:00<?, ?it/s] 2%|▏ | 1/43 [00:01<00:51, 1.23s/it] 5%|▍ | 2/43 [00:01<00:36, 1.13it/s] 7%|▋ | 3/43 [00:02<00:30, 1.30it/s] 9%|▉ | 4/43 [00:03<00:28, 1.39it/s] 12%|█▏ | 5/43 [00:03<00:26, 1.45it/s] 14%|█▍ | 6/43 [00:04<00:24, 1.49it/s] 16%|█▋ | 7/43 [00:05<00:23, 1.51it/s] 19%|█▊ | 8/43 [00:05<00:22, 1.52it/s] 21%|██ | 9/43 [00:06<00:22, 1.53it/s] 23%|██▎ | 10/43 [00:07<00:21, 1.53it/s] 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[00:22<00:05, 1.52it/s] 81%|████████▏ | 35/43 [00:23<00:05, 1.53it/s] 84%|████████▎ | 36/43 [00:23<00:04, 1.52it/s] 86%|████████▌ | 37/43 [00:24<00:03, 1.52it/s] 88%|████████▊ | 38/43 [00:25<00:03, 1.52it/s] 91%|█████████ | 39/43 [00:25<00:02, 1.52it/s] 93%|█████████▎| 40/43 [00:26<00:01, 1.53it/s] 95%|█████████▌| 41/43 [00:27<00:01, 1.52it/s] 98%|█████████▊| 42/43 [00:27<00:00, 1.52it/s] 100%|██████████| 43/43 [00:28<00:00, 1.52it/s] 100%|██████████| 43/43 [00:28<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 33.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:06, 3.35it/s] 8%|▊ | 2/24 [00:00<00:04, 4.77it/s] 12%|█▎ | 3/24 [00:00<00:03, 5.48it/s] 17%|█▋ | 4/24 [00:00<00:03, 5.89it/s] 21%|██ | 5/24 [00:00<00:03, 6.15it/s] 25%|██▌ | 6/24 [00:01<00:02, 6.26it/s] 29%|██▉ | 7/24 [00:01<00:02, 6.29it/s] 33%|███▎ | 8/24 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?it/s] 4%|▍ | 1/24 [00:00<00:03, 6.98it/s] 8%|▊ | 2/24 [00:00<00:03, 6.75it/s] 12%|█▎ | 3/24 [00:00<00:03, 6.70it/s] 17%|█▋ | 4/24 [00:00<00:02, 6.68it/s] 21%|██ | 5/24 [00:00<00:02, 6.67it/s] 25%|██▌ | 6/24 [00:00<00:02, 6.61it/s] 29%|██▉ | 7/24 [00:01<00:02, 6.48it/s] 33%|███▎ | 8/24 [00:01<00:02, 6.48it/s] 38%|███▊ | 9/24 [00:01<00:02, 6.52it/s] 42%|████▏ | 10/24 [00:01<00:02, 6.56it/s] 46%|████▌ | 11/24 [00:01<00:01, 6.59it/s] 50%|█████ | 12/24 [00:01<00:01, 6.60it/s] 54%|█████▍ | 13/24 [00:01<00:01, 6.37it/s] 58%|█████▊ | 14/24 [00:02<00:01, 6.47it/s] 62%|██████▎ | 15/24 [00:02<00:01, 6.51it/s] 67%|██████▋ | 16/24 [00:02<00:01, 6.54it/s] 71%|███████ | 17/24 [00:02<00:01, 6.56it/s] 75%|███████▌ | 18/24 [00:02<00:00, 6.59it/s] 79%|███████▉ | 19/24 [00:02<00:00, 6.56it/s] 83%|████████▎ | 20/24 [00:03<00:00, 6.54it/s] 88%|████████▊ | 21/24 [00:03<00:00, 6.55it/s] 92%|█████████▏| 22/24 [00:03<00:00, 6.56it/s] 96%|█████████▌| 23/24 [00:03<00:00, 6.57it/s] 100%|██████████| 24/24 [00:03<00:00, 6.58it/s] 100%|██████████| 24/24 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:03, 6.93it/s] 8%|▊ | 2/24 [00:00<00:03, 6.75it/s] 12%|█▎ | 3/24 [00:00<00:03, 6.57it/s] 17%|█▋ | 4/24 [00:00<00:03, 6.60it/s] 21%|██ | 5/24 [00:00<00:02, 6.63it/s] 25%|██▌ | 6/24 [00:00<00:02, 6.57it/s] 29%|██▉ | 7/24 [00:01<00:02, 6.50it/s] 33%|███▎ | 8/24 [00:01<00:02, 6.52it/s] 38%|███▊ | 9/24 [00:01<00:02, 6.40it/s] 42%|████▏ | 10/24 [00:01<00:02, 6.49it/s] 46%|████▌ | 11/24 [00:01<00:01, 6.52it/s] 50%|█████ | 12/24 [00:01<00:01, 6.53it/s] 54%|█████▍ | 13/24 [00:01<00:01, 6.52it/s] 58%|█████▊ | 14/24 [00:02<00:01, 6.49it/s] 62%|██████▎ | 15/24 [00:02<00:01, 6.50it/s] 67%|██████▋ | 16/24 [00:02<00:01, 6.51it/s] 71%|███████ | 17/24 [00:02<00:01, 6.54it/s] 75%|███████▌ | 18/24 [00:02<00:00, 6.56it/s] 79%|███████▉ | 19/24 [00:02<00:00, 6.56it/s] 83%|████████▎ | 20/24 [00:03<00:00, 6.52it/s] 88%|████████▊ | 21/24 [00:03<00:00, 6.52it/s] 92%|█████████▏| 22/24 [00:03<00:00, 6.48it/s] 96%|█████████▌| 23/24 [00:03<00:00, 6.47it/s] 100%|██████████| 24/24 [00:03<00:00, 6.50it/s] 100%|██████████| 24/24 [00:03<00:00, 6.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:03, 6.96it/s] 8%|▊ | 2/24 [00:00<00:03, 6.78it/s] 12%|█▎ | 3/24 [00:00<00:03, 6.71it/s] 17%|█▋ | 4/24 [00:00<00:02, 6.69it/s] 21%|██ | 5/24 [00:00<00:02, 6.61it/s] 25%|██▌ | 6/24 [00:00<00:02, 6.43it/s] 29%|██▉ | 7/24 [00:01<00:02, 6.43it/s] 33%|███▎ | 8/24 [00:01<00:02, 6.46it/s] 38%|███▊ | 9/24 [00:01<00:02, 6.50it/s] 42%|████▏ | 10/24 [00:01<00:02, 6.54it/s] 46%|████▌ | 11/24 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Finished.