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.
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Output
https://files.tungsten.run/uploads/5a08c132e94340c98a93bbae779edfa8/00000-1314694255.webp
https://files.tungsten.run/uploads/7f6634e85ea547de855d7947feba5cc9/00001-1314694256.webp
https://files.tungsten.run/uploads/cf627a3638c946d5a43cbe488519bd26/00002-1314694257.webp
https://files.tungsten.run/uploads/ae67fc53f2a742458615c7b95ac0ce7c/00003-1314694258.webp
This example was created by evevalentine2017
Finished in 78.4 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, long hair, solo, cowboy shot, 1girl, (barbarian:1), <lora:Barbarian-V1:1>, huge breasts, outdoors, light rays, god rays, realistic, big smile, photorealistic, high resolution, detailed, raw photo, <lora:detail_slider_v4:2>, <lora:hairdetailer:1>, 8k, 4k, cannon, png, <lora:add_saturation:0.85> Full negative prompt: 3 hands, nsfw, (nipples:1.5), 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<01:03, 1.30s/it] 4%|▍ | 2/50 [00:01<00:44, 1.09it/s] 6%|▌ | 3/50 [00:02<00:37, 1.26it/s] 8%|▊ | 4/50 [00:03<00:34, 1.34it/s] 10%|█ | 5/50 [00:03<00:32, 1.41it/s] 12%|█▏ | 6/50 [00:04<00:30, 1.44it/s] 14%|█▍ | 7/50 [00:05<00:29, 1.47it/s] 16%|█▌ | 8/50 [00:05<00:28, 1.48it/s] 18%|█▊ | 9/50 [00:06<00:27, 1.50it/s] 20%|██ | 10/50 [00:07<00:26, 1.50it/s] 22%|██▏ | 11/50 [00:07<00:25, 1.51it/s] 24%|██▍ | 12/50 [00:08<00:25, 1.51it/s] 26%|██▌ | 13/50 [00:09<00:24, 1.51it/s] 28%|██▊ | 14/50 [00:09<00:23, 1.51it/s] 30%|███ | 15/50 [00:10<00:23, 1.51it/s] 32%|███▏ | 16/50 [00:11<00:22, 1.51it/s] 34%|███▍ | 17/50 [00:11<00:21, 1.52it/s] 36%|███▌ | 18/50 [00:12<00:21, 1.52it/s] 38%|███▊ | 19/50 [00:13<00:20, 1.51it/s] 40%|████ | 20/50 [00:13<00:19, 1.51it/s] 42%|████▏ | 21/50 [00:14<00:19, 1.52it/s] 44%|████▍ | 22/50 [00:15<00:18, 1.51it/s] 46%|████▌ | 23/50 [00:15<00:17, 1.51it/s] 48%|████▊ | 24/50 [00:16<00:17, 1.51it/s] 50%|█████ | 25/50 [00:17<00:16, 1.51it/s] 52%|█████▏ | 26/50 [00:17<00:15, 1.51it/s] 54%|█████▍ | 27/50 [00:18<00:15, 1.51it/s] 56%|█████▌ | 28/50 [00:19<00:14, 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1.51it/s] 100%|██████████| 50/50 [00:33<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 32.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.23it/s] 9%|▊ | 2/23 [00:00<00:04, 4.66it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.38it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.82it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.09it/s] 26%|██▌ | 6/23 [00:01<00:02, 6.18it/s] 30%|███ | 7/23 [00:01<00:02, 6.22it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.29it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.38it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.50it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.50it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.48it/s] 61%|██████ | 14/23 [00:02<00:01, 6.45it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.47it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.50it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.53it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.54it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.51it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.47it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.46it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.51it/s] 100%|██████████| 23/23 [00:03<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.00it/s] 9%|▊ | 2/23 [00:00<00:03, 6.72it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.52it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.54it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.58it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.53it/s] 30%|███ | 7/23 [00:01<00:02, 6.44it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.46it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.51it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.52it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.47it/s] 61%|██████ | 14/23 [00:02<00:01, 6.44it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.43it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.47it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.49it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.45it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.45it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.47it/s] 100%|██████████| 23/23 [00:03<00:00, 6.37it/s] 100%|██████████| 23/23 [00:03<00:00, 6.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.85it/s] 9%|▊ | 2/23 [00:00<00:03, 6.58it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.57it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.60it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.50it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.41it/s] 30%|███ | 7/23 [00:01<00:02, 6.41it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.46it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.48it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.51it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.51it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.45it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.42it/s] 61%|██████ | 14/23 [00:02<00:01, 6.46it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.50it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.52it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.50it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.49it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.50it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.50it/s] 100%|██████████| 23/23 [00:03<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.79it/s] 9%|▊ | 2/23 [00:00<00:03, 6.67it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.64it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.60it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.48it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.42it/s] 30%|███ | 7/23 [00:01<00:02, 6.41it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.45it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.49it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.49it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.49it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.43it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.42it/s] 61%|██████ | 14/23 [00:02<00:01, 6.45it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.46it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.48it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.51it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.46it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.43it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.44it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.45it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.46it/s] 100%|██████████| 23/23 [00:03<00:00, 6.51it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 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6.45it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.74it/s] 9%|▊ | 2/23 [00:00<00:03, 6.62it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.58it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.58it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.47it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.20it/s] 30%|███ | 7/23 [00:01<00:02, 6.37it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.40it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.45it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.49it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.47it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.39it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.39it/s] 61%|██████ | 14/23 [00:02<00:01, 6.39it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.44it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.47it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.46it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.40it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.38it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.30it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.35it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.81it/s] 9%|▊ | 2/23 [00:00<00:03, 6.65it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.62it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.60it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.46it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.37it/s] 30%|███ | 7/23 [00:01<00:02, 6.38it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.43it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.45it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.47it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.42it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.40it/s] 61%|██████ | 14/23 [00:02<00:01, 6.41it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.42it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.46it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.46it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.42it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.32it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.39it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.38it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.41it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.1ms Speed: 2.8ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.85it/s] 9%|▊ | 2/23 [00:00<00:03, 6.62it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.58it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.56it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.55it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.44it/s] 30%|███ | 7/23 [00:01<00:02, 6.34it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.33it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.39it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.42it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.46it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.43it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.35it/s] 61%|██████ | 14/23 [00:02<00:01, 6.30it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.32it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.36it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.39it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.41it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.36it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.29it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.28it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.34it/s] 100%|██████████| 23/23 [00:03<00:00, 6.39it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.23s 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/5a08c132e94340c98a93bbae779edfa8/00000-1314694255.webp
https://files.tungsten.run/uploads/7f6634e85ea547de855d7947feba5cc9/00001-1314694256.webp
https://files.tungsten.run/uploads/cf627a3638c946d5a43cbe488519bd26/00002-1314694257.webp
https://files.tungsten.run/uploads/ae67fc53f2a742458615c7b95ac0ce7c/00003-1314694258.webp
This example was created by evevalentine2017
Finished in 78.4 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, long hair, solo, cowboy shot, 1girl, (barbarian:1), <lora:Barbarian-V1:1>, huge breasts, outdoors, light rays, god rays, realistic, big smile, photorealistic, high resolution, detailed, raw photo, <lora:detail_slider_v4:2>, <lora:hairdetailer:1>, 8k, 4k, cannon, png, <lora:add_saturation:0.85> Full negative prompt: 3 hands, nsfw, (nipples:1.5), 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<01:03, 1.30s/it] 4%|▍ | 2/50 [00:01<00:44, 1.09it/s] 6%|▌ | 3/50 [00:02<00:37, 1.26it/s] 8%|▊ | 4/50 [00:03<00:34, 1.34it/s] 10%|█ | 5/50 [00:03<00:32, 1.41it/s] 12%|█▏ | 6/50 [00:04<00:30, 1.44it/s] 14%|█▍ | 7/50 [00:05<00:29, 1.47it/s] 16%|█▌ | 8/50 [00:05<00:28, 1.48it/s] 18%|█▊ | 9/50 [00:06<00:27, 1.50it/s] 20%|██ | 10/50 [00:07<00:26, 1.50it/s] 22%|██▏ | 11/50 [00:07<00:25, 1.51it/s] 24%|██▍ | 12/50 [00:08<00:25, 1.51it/s] 26%|██▌ | 13/50 [00:09<00:24, 1.51it/s] 28%|██▊ | 14/50 [00:09<00:23, 1.51it/s] 30%|███ | 15/50 [00:10<00:23, 1.51it/s] 32%|███▏ | 16/50 [00:11<00:22, 1.51it/s] 34%|███▍ | 17/50 [00:11<00:21, 1.52it/s] 36%|███▌ | 18/50 [00:12<00:21, 1.52it/s] 38%|███▊ | 19/50 [00:13<00:20, 1.51it/s] 40%|████ | 20/50 [00:13<00:19, 1.51it/s] 42%|████▏ | 21/50 [00:14<00:19, 1.52it/s] 44%|████▍ | 22/50 [00:15<00:18, 1.51it/s] 46%|████▌ | 23/50 [00:15<00:17, 1.51it/s] 48%|████▊ | 24/50 [00:16<00:17, 1.51it/s] 50%|█████ | 25/50 [00:17<00:16, 1.51it/s] 52%|█████▏ | 26/50 [00:17<00:15, 1.51it/s] 54%|█████▍ | 27/50 [00:18<00:15, 1.51it/s] 56%|█████▌ | 28/50 [00:19<00:14, 1.51it/s] 58%|█████▊ | 29/50 [00:19<00:13, 1.51it/s] 60%|██████ | 30/50 [00:20<00:13, 1.51it/s] 62%|██████▏ | 31/50 [00:21<00:12, 1.51it/s] 64%|██████▍ | 32/50 [00:21<00:11, 1.51it/s] 66%|██████▌ | 33/50 [00:22<00:11, 1.51it/s] 68%|██████▊ | 34/50 [00:23<00:10, 1.51it/s] 70%|███████ | 35/50 [00:23<00:09, 1.51it/s] 72%|███████▏ | 36/50 [00:24<00:09, 1.51it/s] 74%|███████▍ | 37/50 [00:25<00:08, 1.51it/s] 76%|███████▌ | 38/50 [00:25<00:07, 1.51it/s] 78%|███████▊ | 39/50 [00:26<00:07, 1.51it/s] 80%|████████ | 40/50 [00:27<00:06, 1.51it/s] 82%|████████▏ | 41/50 [00:27<00:05, 1.51it/s] 84%|████████▍ | 42/50 [00:28<00:05, 1.51it/s] 86%|████████▌ | 43/50 [00:29<00:04, 1.51it/s] 88%|████████▊ | 44/50 [00:29<00:03, 1.51it/s] 90%|█████████ | 45/50 [00:30<00:03, 1.51it/s] 92%|█████████▏| 46/50 [00:31<00:02, 1.51it/s] 94%|█████████▍| 47/50 [00:31<00:01, 1.51it/s] 96%|█████████▌| 48/50 [00:32<00:01, 1.51it/s] 98%|█████████▊| 49/50 [00:32<00:00, 1.51it/s] 100%|██████████| 50/50 [00:33<00:00, 1.51it/s] 100%|██████████| 50/50 [00:33<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 32.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.23it/s] 9%|▊ | 2/23 [00:00<00:04, 4.66it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.38it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.82it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.09it/s] 26%|██▌ | 6/23 [00:01<00:02, 6.18it/s] 30%|███ | 7/23 [00:01<00:02, 6.22it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.29it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.38it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.50it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.50it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.48it/s] 61%|██████ | 14/23 [00:02<00:01, 6.45it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.47it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.50it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.53it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.54it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.51it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.47it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.46it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.51it/s] 100%|██████████| 23/23 [00:03<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.00it/s] 9%|▊ | 2/23 [00:00<00:03, 6.72it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.52it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.54it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.58it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.53it/s] 30%|███ | 7/23 [00:01<00:02, 6.44it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.46it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.51it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.52it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.47it/s] 61%|██████ | 14/23 [00:02<00:01, 6.44it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.43it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.47it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.49it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.45it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.45it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.47it/s] 100%|██████████| 23/23 [00:03<00:00, 6.37it/s] 100%|██████████| 23/23 [00:03<00:00, 6.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.85it/s] 9%|▊ | 2/23 [00:00<00:03, 6.58it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.57it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.60it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.50it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.41it/s] 30%|███ | 7/23 [00:01<00:02, 6.41it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.46it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.48it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.51it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.51it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.45it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.42it/s] 61%|██████ | 14/23 [00:02<00:01, 6.46it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.50it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.52it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.50it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.49it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.50it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.50it/s] 100%|██████████| 23/23 [00:03<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.79it/s] 9%|▊ | 2/23 [00:00<00:03, 6.67it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.64it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.60it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.48it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.42it/s] 30%|███ | 7/23 [00:01<00:02, 6.41it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.45it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.49it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.49it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.49it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.43it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.42it/s] 61%|██████ | 14/23 [00:02<00:01, 6.45it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.46it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.48it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.51it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.46it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.43it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.44it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.45it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.46it/s] 100%|██████████| 23/23 [00:03<00:00, 6.51it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 7.3ms Speed: 2.6ms preprocess, 7.3ms 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, 6.92it/s] 9%|▊ | 2/23 [00:00<00:03, 6.75it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.69it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.65it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.62it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.46it/s] 30%|███ | 7/23 [00:01<00:02, 6.43it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.41it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.45it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.49it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.47it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.43it/s] 61%|██████ | 14/23 [00:02<00:01, 6.42it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.45it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.47it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.49it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.50it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.46it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.36it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.37it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.45it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.74it/s] 9%|▊ | 2/23 [00:00<00:03, 6.62it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.58it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.58it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.47it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.20it/s] 30%|███ | 7/23 [00:01<00:02, 6.37it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.40it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.45it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.49it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.47it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.39it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.39it/s] 61%|██████ | 14/23 [00:02<00:01, 6.39it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.44it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.47it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.46it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.40it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.38it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.30it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.35it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.81it/s] 9%|▊ | 2/23 [00:00<00:03, 6.65it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.62it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.60it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.46it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.37it/s] 30%|███ | 7/23 [00:01<00:02, 6.38it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.43it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.45it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.47it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.42it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.40it/s] 61%|██████ | 14/23 [00:02<00:01, 6.41it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.42it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.46it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.46it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.42it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.32it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.39it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.38it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.41it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.1ms Speed: 2.8ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.85it/s] 9%|▊ | 2/23 [00:00<00:03, 6.62it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.58it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.56it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.55it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.44it/s] 30%|███ | 7/23 [00:01<00:02, 6.34it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.33it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.39it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.42it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.46it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.43it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.35it/s] 61%|██████ | 14/23 [00:02<00:01, 6.30it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.32it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.36it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.39it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.41it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.36it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.29it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.28it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.34it/s] 100%|██████████| 23/23 [00:03<00:00, 6.39it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.