perfect-woman
perfect-woman
21 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/7fac67e5676a4d379f00de5036278716/00000-191260998.webp
https://files.tungsten.run/uploads/0ee1ec50bb884a17b3f829a5e153e2aa/00001-191260999.webp
https://files.tungsten.run/uploads/4d1084a3406d47489fb54b6271c4425a/00002-191261000.webp
https://files.tungsten.run/uploads/b992b9656a054c5abd2ae34ddb39b36b/00003-191261001.webp
This example was created by evevalentine2017
Finished in 64.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: masterpiece, best quality, full body, 8k, (looking at the viewer: 1.1), beautiful, hot, seductive, woman with tanned skin, medium breasts, long blonde hair, (eye contact:1.1), beautiful face, (detailed face:1.2), (animated:1.2), navel, hyper detailed, best quality, ultra high resolution, sunset beach, simle, photorealistic, high resolution, detailed, raw photo, 1girl, bikini, <lora:detail_slider_v4:2>, <lora:hairdetailer:1>, 8k, 4k, cannon, png, <lora:add_saturation:0.85> Full negative prompt: nsfw, nipples, EasyNegative, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandv4, clothes 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:02, 1.27s/it] 4%|▍ | 2/50 [00:01<00:44, 1.09it/s] 6%|▌ | 3/50 [00:02<00:38, 1.23it/s] 8%|▊ | 4/50 [00:03<00:35, 1.31it/s] 10%|█ | 5/50 [00:04<00:33, 1.36it/s] 12%|█▏ | 6/50 [00:04<00:31, 1.39it/s] 14%|█▍ | 7/50 [00:05<00:30, 1.41it/s] 16%|█▌ | 8/50 [00:06<00:29, 1.42it/s] 18%|█▊ | 9/50 [00:06<00:28, 1.42it/s] 20%|██ | 10/50 [00:07<00:27, 1.43it/s] 22%|██▏ | 11/50 [00:08<00:27, 1.43it/s] 24%|██▍ | 12/50 [00:08<00:26, 1.43it/s] 26%|██▌ | 13/50 [00:09<00:25, 1.43it/s] 28%|██▊ | 14/50 [00:10<00:25, 1.43it/s] 30%|███ | 15/50 [00:10<00:24, 1.43it/s] 32%|███▏ | 16/50 [00:11<00:23, 1.43it/s] 34%|███▍ | 17/50 [00:12<00:23, 1.43it/s] 36%|███▌ | 18/50 [00:13<00:22, 1.43it/s] 38%|███▊ | 19/50 [00:13<00:21, 1.43it/s] 40%|████ | 20/50 [00:14<00:21, 1.43it/s] 42%|████▏ | 21/50 [00:15<00:20, 1.43it/s] 44%|████▍ | 22/50 [00:15<00:19, 1.43it/s] 46%|████▌ | 23/50 [00:16<00:18, 1.43it/s] 48%|████▊ | 24/50 [00:17<00:18, 1.43it/s] 50%|█████ | 25/50 [00:17<00:17, 1.43it/s] 52%|█████▏ | 26/50 [00:18<00:16, 1.43it/s] 54%|█████▍ | 27/50 [00:19<00:16, 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100%|██████████| 50/50 [00:35<00:00, 1.42it/s] 100%|██████████| 50/50 [00:35<00:00, 1.40it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 31.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.38it/s] 9%|▊ | 2/23 [00:00<00:04, 4.68it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.30it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.63it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.84it/s] 26%|██▌ | 6/23 [00:01<00:02, 5.90it/s] 30%|███ | 7/23 [00:01<00:02, 5.99it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.06it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.06it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.09it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.11it/s] 52%|█████▏ | 12/23 [00:02<00:01, 6.11it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.10it/s] 61%|██████ | 14/23 [00:02<00:01, 6.16it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.15it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.18it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.18it/s] 78%|███████▊ | 18/23 [00:03<00:00, 6.16it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.14it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.13it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.13it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.16it/s] 100%|██████████| 23/23 [00:03<00:00, 6.15it/s] 100%|██████████| 23/23 [00:03<00:00, 5.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.61it/s] 9%|▊ | 2/23 [00:00<00:03, 6.46it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.39it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.36it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.33it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.21it/s] 30%|███ | 7/23 [00:01<00:02, 6.13it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.08it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.10it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.17it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.20it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.14it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.11it/s] 61%|██████ | 14/23 [00:02<00:01, 6.09it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.09it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.15it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.19it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.14it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.14it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.10it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.09it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.12it/s] 100%|██████████| 23/23 [00:03<00:00, 6.16it/s] 100%|██████████| 23/23 [00:03<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.73it/s] 9%|▊ | 2/23 [00:00<00:03, 6.49it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.42it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.37it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.35it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.22it/s] 30%|███ | 7/23 [00:01<00:02, 6.16it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.08it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.09it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.15it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.17it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.13it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.09it/s] 61%|██████ | 14/23 [00:02<00:01, 6.06it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.07it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.14it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.16it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.17it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.11it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.07it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.09it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.15it/s] 100%|██████████| 23/23 [00:03<00:00, 6.15it/s] 100%|██████████| 23/23 [00:03<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.68it/s] 9%|▊ | 2/23 [00:00<00:03, 6.47it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.40it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.37it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.34it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.20it/s] 30%|███ | 7/23 [00:01<00:02, 6.16it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.11it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.10it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.16it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.17it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.14it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.13it/s] 61%|██████ | 14/23 [00:02<00:01, 6.11it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.11it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.14it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.16it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.13it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.12it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.11it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.10it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.14it/s] 100%|██████████| 23/23 [00:03<00:00, 6.14it/s] 100%|██████████| 23/23 [00:03<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.25s 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/7fac67e5676a4d379f00de5036278716/00000-191260998.webp
https://files.tungsten.run/uploads/0ee1ec50bb884a17b3f829a5e153e2aa/00001-191260999.webp
https://files.tungsten.run/uploads/4d1084a3406d47489fb54b6271c4425a/00002-191261000.webp
https://files.tungsten.run/uploads/b992b9656a054c5abd2ae34ddb39b36b/00003-191261001.webp
This example was created by evevalentine2017
Finished in 64.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: masterpiece, best quality, full body, 8k, (looking at the viewer: 1.1), beautiful, hot, seductive, woman with tanned skin, medium breasts, long blonde hair, (eye contact:1.1), beautiful face, (detailed face:1.2), (animated:1.2), navel, hyper detailed, best quality, ultra high resolution, sunset beach, simle, photorealistic, high resolution, detailed, raw photo, 1girl, bikini, <lora:detail_slider_v4:2>, <lora:hairdetailer:1>, 8k, 4k, cannon, png, <lora:add_saturation:0.85> Full negative prompt: nsfw, nipples, EasyNegative, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandv4, clothes 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:02, 1.27s/it] 4%|▍ | 2/50 [00:01<00:44, 1.09it/s] 6%|▌ | 3/50 [00:02<00:38, 1.23it/s] 8%|▊ | 4/50 [00:03<00:35, 1.31it/s] 10%|█ | 5/50 [00:04<00:33, 1.36it/s] 12%|█▏ | 6/50 [00:04<00:31, 1.39it/s] 14%|█▍ | 7/50 [00:05<00:30, 1.41it/s] 16%|█▌ | 8/50 [00:06<00:29, 1.42it/s] 18%|█▊ | 9/50 [00:06<00:28, 1.42it/s] 20%|██ | 10/50 [00:07<00:27, 1.43it/s] 22%|██▏ | 11/50 [00:08<00:27, 1.43it/s] 24%|██▍ | 12/50 [00:08<00:26, 1.43it/s] 26%|██▌ | 13/50 [00:09<00:25, 1.43it/s] 28%|██▊ | 14/50 [00:10<00:25, 1.43it/s] 30%|███ | 15/50 [00:10<00:24, 1.43it/s] 32%|███▏ | 16/50 [00:11<00:23, 1.43it/s] 34%|███▍ | 17/50 [00:12<00:23, 1.43it/s] 36%|███▌ | 18/50 [00:13<00:22, 1.43it/s] 38%|███▊ | 19/50 [00:13<00:21, 1.43it/s] 40%|████ | 20/50 [00:14<00:21, 1.43it/s] 42%|████▏ | 21/50 [00:15<00:20, 1.43it/s] 44%|████▍ | 22/50 [00:15<00:19, 1.43it/s] 46%|████▌ | 23/50 [00:16<00:18, 1.43it/s] 48%|████▊ | 24/50 [00:17<00:18, 1.43it/s] 50%|█████ | 25/50 [00:17<00:17, 1.43it/s] 52%|█████▏ | 26/50 [00:18<00:16, 1.43it/s] 54%|█████▍ | 27/50 [00:19<00:16, 1.42it/s] 56%|█████▌ | 28/50 [00:20<00:15, 1.42it/s] 58%|█████▊ | 29/50 [00:20<00:14, 1.42it/s] 60%|██████ | 30/50 [00:21<00:14, 1.42it/s] 62%|██████▏ | 31/50 [00:22<00:13, 1.43it/s] 64%|██████▍ | 32/50 [00:22<00:12, 1.43it/s] 66%|██████▌ | 33/50 [00:23<00:11, 1.43it/s] 68%|██████▊ | 34/50 [00:24<00:11, 1.43it/s] 70%|███████ | 35/50 [00:24<00:10, 1.43it/s] 72%|███████▏ | 36/50 [00:25<00:09, 1.42it/s] 74%|███████▍ | 37/50 [00:26<00:09, 1.42it/s] 76%|███████▌ | 38/50 [00:27<00:08, 1.42it/s] 78%|███████▊ | 39/50 [00:27<00:07, 1.42it/s] 80%|████████ | 40/50 [00:28<00:07, 1.42it/s] 82%|████████▏ | 41/50 [00:29<00:06, 1.42it/s] 84%|████████▍ | 42/50 [00:29<00:05, 1.42it/s] 86%|████████▌ | 43/50 [00:30<00:04, 1.41it/s] 88%|████████▊ | 44/50 [00:31<00:04, 1.41it/s] 90%|█████████ | 45/50 [00:32<00:03, 1.41it/s] 92%|█████████▏| 46/50 [00:32<00:02, 1.41it/s] 94%|█████████▍| 47/50 [00:33<00:02, 1.41it/s] 96%|█████████▌| 48/50 [00:34<00:01, 1.41it/s] 98%|█████████▊| 49/50 [00:34<00:00, 1.42it/s] 100%|██████████| 50/50 [00:35<00:00, 1.42it/s] 100%|██████████| 50/50 [00:35<00:00, 1.40it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 31.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.38it/s] 9%|▊ | 2/23 [00:00<00:04, 4.68it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.30it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.63it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.84it/s] 26%|██▌ | 6/23 [00:01<00:02, 5.90it/s] 30%|███ | 7/23 [00:01<00:02, 5.99it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.06it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.06it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.09it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.11it/s] 52%|█████▏ | 12/23 [00:02<00:01, 6.11it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.10it/s] 61%|██████ | 14/23 [00:02<00:01, 6.16it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.15it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.18it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.18it/s] 78%|███████▊ | 18/23 [00:03<00:00, 6.16it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.14it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.13it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.13it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.16it/s] 100%|██████████| 23/23 [00:03<00:00, 6.15it/s] 100%|██████████| 23/23 [00:03<00:00, 5.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.61it/s] 9%|▊ | 2/23 [00:00<00:03, 6.46it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.39it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.36it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.33it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.21it/s] 30%|███ | 7/23 [00:01<00:02, 6.13it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.08it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.10it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.17it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.20it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.14it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.11it/s] 61%|██████ | 14/23 [00:02<00:01, 6.09it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.09it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.15it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.19it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.14it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.14it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.10it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.09it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.12it/s] 100%|██████████| 23/23 [00:03<00:00, 6.16it/s] 100%|██████████| 23/23 [00:03<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.73it/s] 9%|▊ | 2/23 [00:00<00:03, 6.49it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.42it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.37it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.35it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.22it/s] 30%|███ | 7/23 [00:01<00:02, 6.16it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.08it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.09it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.15it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.17it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.13it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.09it/s] 61%|██████ | 14/23 [00:02<00:01, 6.06it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.07it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.14it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.16it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.17it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.11it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.07it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.09it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.15it/s] 100%|██████████| 23/23 [00:03<00:00, 6.15it/s] 100%|██████████| 23/23 [00:03<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.68it/s] 9%|▊ | 2/23 [00:00<00:03, 6.47it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.40it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.37it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.34it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.20it/s] 30%|███ | 7/23 [00:01<00:02, 6.16it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.11it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.10it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.16it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.17it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.14it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.13it/s] 61%|██████ | 14/23 [00:02<00:01, 6.11it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.11it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.14it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.16it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.13it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.12it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.11it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.10it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.14it/s] 100%|██████████| 23/23 [00:03<00:00, 6.14it/s] 100%|██████████| 23/23 [00:03<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.