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Penny Gold
truality-engine:v3.0
deadwaldo
deadwaldo
·
Mar 13
361
Input
prompt
Specify things to see in the output
(Art Photography, Award Winning) ((skinny, slim, slender and perky DV_Penny_Vicious at sunset in a busy street, wearing a tight spandex gold leotard with juliet sleeves and thigh high boots))) , Steve McCurry, 35mm, F/2.8, ((Photo Focus, DOF, Aperture, insanely detailed and intricate, character, hypermaximalist, beautiful, revealing, appealing, attractive, amative, hyper realistic, super detailed, heresy flares)) (DOF, blurry background, outdoors, golden hour) Lens Flare, Heresy flare (eyeliner, red lipstick) (toned body) (standing, posing, smiling), <lora:more_details:1>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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.
false
Output
https://files.tungsten.run/uploads/e8d2edeb74704ac7a114f59ca25276fe/00000-3945877.png
https://files.tungsten.run/uploads/0117946e65de430b85fe84a40a9b662b/00001-3945878.png
https://files.tungsten.run/uploads/14446f35308a4f85abb742c4f5c02845/00002-3945879.png
https://files.tungsten.run/uploads/5161041fd3e345178d0b0e12d8fc7af9/00003-3945880.png
Finished in 97.6 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3945877 Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (Art Photography, Award Winning) ((skinny, slim, slender and perky DV_Penny_Vicious at sunset in a busy street, wearing a tight spandex gold leotard with juliet sleeves and thigh high boots))) , Steve McCurry, 35mm, F/2.8, ((Photo Focus, DOF, Aperture, insanely detailed and intricate, character, hypermaximalist, beautiful, revealing, appealing, attractive, amative, hyper realistic, super detailed, heresy flares)) (DOF, blurry background, outdoors, golden hour) Lens Flare, Heresy flare (eyeliner, red lipstick) (toned body) (standing, posing, smiling), <lora:more_details:1>, <lora:FaceBeauty_qinglong_V3:1>, (masterpiece:1.5), (top quality:1.5), (real life photo:1.5), (ultra detailed:1.5) Full negative prompt: (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:47, 1.23s/it] 5%|▌ | 2/40 [00:01<00:33, 1.14it/s] 8%|▊ | 3/40 [00:02<00:28, 1.31it/s] 10%|█ | 4/40 [00:03<00:25, 1.40it/s] 12%|█▎ | 5/40 [00:03<00:23, 1.46it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.50it/s] 18%|█▊ | 7/40 [00:05<00:21, 1.52it/s] 20%|██ | 8/40 [00:05<00:20, 1.54it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.55it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.56it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.56it/s] 30%|███ | 12/40 [00:08<00:17, 1.56it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.56it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.56it/s] 38%|███▊ | 15/40 [00:10<00:16, 1.56it/s] 40%|████ | 16/40 [00:10<00:15, 1.56it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.56it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.56it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.56it/s] 50%|█████ | 20/40 [00:13<00:12, 1.56it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.55it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:09, 1.56it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.55it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.55it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.55it/s] 80%|████████ | 32/40 [00:21<00:05, 1.55it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.55it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.55it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.55it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.55it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.55it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.55it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 34.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.46it/s] 9%|▊ | 2/23 [00:00<00:05, 3.52it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.08it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.43it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.57it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.73it/s] 30%|███ | 7/23 [00:01<00:03, 4.62it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.59it/s] 39%|███▉ | 9/23 [00:02<00:02, 4.70it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.70it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.78it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.82it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.85it/s] 61%|██████ | 14/23 [00:03<00:01, 4.85it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.83it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.86it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.84it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.85it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.83it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.67it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.4ms Speed: 2.8ms 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<00:04, 4.90it/s] 9%|▊ | 2/23 [00:00<00:04, 4.93it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.91it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.89it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.78it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.78it/s] 30%|███ | 7/23 [00:01<00:03, 4.82it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.83it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.66it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.72it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.75it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.78it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.79it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.81it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.78it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.78it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.67it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.75it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.79it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:05, 4.20it/s] 9%|▊ | 2/23 [00:00<00:04, 4.61it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.77it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.76it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.82it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.67it/s] 30%|███ | 7/23 [00:01<00:03, 4.72it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.79it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.83it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.78it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.78it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.80it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.85it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.77it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.82it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.85it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.86it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.80it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.96it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.89it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.86it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.84it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.83it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.80it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.87it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.94it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.92it/s] 61%|██████ | 14/23 [00:02<00:01, 4.85it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.87it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.95it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.98it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.95it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.98it/s] 100%|██████████| 23/23 [00:04<00:00, 5.00it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/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<00:04, 4.98it/s] 9%|▊ | 2/23 [00:00<00:04, 5.02it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.89it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.95it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.98it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.00it/s] 30%|███ | 7/23 [00:01<00:03, 5.00it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.02it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.04it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.05it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.04it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.01it/s] 61%|██████ | 14/23 [00:02<00:01, 4.99it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.01it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.99it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.96it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.86it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.89it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.3ms Speed: 2.9ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.04it/s] 9%|▊ | 2/23 [00:00<00:04, 5.01it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.96it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.94it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.81it/s] 30%|███ | 7/23 [00:01<00:03, 4.87it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.86it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.95it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.95it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.90it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.95it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.82it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.82it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.87it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.06it/s] 9%|▊ | 2/23 [00:00<00:04, 4.88it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.69it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.77it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.84it/s] 30%|███ | 7/23 [00:01<00:03, 4.85it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.90it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.96it/s] 61%|██████ | 14/23 [00:02<00:01, 4.99it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.03it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.05it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.06it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.99it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.87it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.87it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.93it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/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<00:04, 4.61it/s] 9%|▊ | 2/23 [00:00<00:04, 4.68it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.72it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.86it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.97it/s] 30%|███ | 7/23 [00:01<00:03, 4.99it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.93it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.00it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.03it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.05it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.05it/s] 57%|█████▋ | 13/23 [00:02<00:02, 5.00it/s] 61%|██████ | 14/23 [00:02<00:01, 5.02it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.04it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.08it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.09it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.96it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.99it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.00it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.97it/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: 2.6ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.07it/s] 9%|▊ | 2/23 [00:00<00:04, 5.10it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.11it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.11it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.06it/s] 26%|██▌ | 6/23 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5.02it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/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<00:04, 4.92it/s] 9%|▊ | 2/23 [00:00<00:04, 5.00it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.93it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.98it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.02it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.03it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.86it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.95it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.99it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.01it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.03it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.01it/s] 61%|██████ | 14/23 [00:02<00:01, 5.04it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.06it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.07it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.06it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.97it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.98it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.94it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.83it/s] 100%|██████████| 23/23 [00:04<00:00, 4.72it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/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
(Art Photography, Award Winning) ((skinny, slim, slender and perky DV_Penny_Vicious at sunset in a busy street, wearing a tight spandex gold leotard with juliet sleeves and thigh high boots))) , Steve McCurry, 35mm, F/2.8, ((Photo Focus, DOF, Aperture, insanely detailed and intricate, character, hypermaximalist, beautiful, revealing, appealing, attractive, amative, hyper realistic, super detailed, heresy flares)) (DOF, blurry background, outdoors, golden hour) Lens Flare, Heresy flare (eyeliner, red lipstick) (toned body) (standing, posing, smiling), <lora:more_details:1>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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.
false
https://files.tungsten.run/uploads/e8d2edeb74704ac7a114f59ca25276fe/00000-3945877.png
https://files.tungsten.run/uploads/0117946e65de430b85fe84a40a9b662b/00001-3945878.png
https://files.tungsten.run/uploads/14446f35308a4f85abb742c4f5c02845/00002-3945879.png
https://files.tungsten.run/uploads/5161041fd3e345178d0b0e12d8fc7af9/00003-3945880.png
Finished in 97.6 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3945877 Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (Art Photography, Award Winning) ((skinny, slim, slender and perky DV_Penny_Vicious at sunset in a busy street, wearing a tight spandex gold leotard with juliet sleeves and thigh high boots))) , Steve McCurry, 35mm, F/2.8, ((Photo Focus, DOF, Aperture, insanely detailed and intricate, character, hypermaximalist, beautiful, revealing, appealing, attractive, amative, hyper realistic, super detailed, heresy flares)) (DOF, blurry background, outdoors, golden hour) Lens Flare, Heresy flare (eyeliner, red lipstick) (toned body) (standing, posing, smiling), <lora:more_details:1>, <lora:FaceBeauty_qinglong_V3:1>, (masterpiece:1.5), (top quality:1.5), (real life photo:1.5), (ultra detailed:1.5) Full negative prompt: (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:47, 1.23s/it] 5%|▌ | 2/40 [00:01<00:33, 1.14it/s] 8%|▊ | 3/40 [00:02<00:28, 1.31it/s] 10%|█ | 4/40 [00:03<00:25, 1.40it/s] 12%|█▎ | 5/40 [00:03<00:23, 1.46it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.50it/s] 18%|█▊ | 7/40 [00:05<00:21, 1.52it/s] 20%|██ | 8/40 [00:05<00:20, 1.54it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.55it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.56it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.56it/s] 30%|███ | 12/40 [00:08<00:17, 1.56it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.56it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.56it/s] 38%|███▊ | 15/40 [00:10<00:16, 1.56it/s] 40%|████ | 16/40 [00:10<00:15, 1.56it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.56it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.56it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.56it/s] 50%|█████ | 20/40 [00:13<00:12, 1.56it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.55it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:09, 1.56it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.55it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.55it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.55it/s] 80%|████████ | 32/40 [00:21<00:05, 1.55it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.55it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.55it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.55it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.55it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.55it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.55it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 34.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.46it/s] 9%|▊ | 2/23 [00:00<00:05, 3.52it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.08it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.43it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.57it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.73it/s] 30%|███ | 7/23 [00:01<00:03, 4.62it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.59it/s] 39%|███▉ | 9/23 [00:02<00:02, 4.70it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.70it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.78it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.82it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.85it/s] 61%|██████ | 14/23 [00:03<00:01, 4.85it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.83it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.86it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.84it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.85it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.83it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.67it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.4ms Speed: 2.8ms 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<00:04, 4.90it/s] 9%|▊ | 2/23 [00:00<00:04, 4.93it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.91it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.89it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.78it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.78it/s] 30%|███ | 7/23 [00:01<00:03, 4.82it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.83it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.66it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.72it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.75it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.78it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.79it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.81it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.78it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.78it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.67it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.75it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.79it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:05, 4.20it/s] 9%|▊ | 2/23 [00:00<00:04, 4.61it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.77it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.76it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.82it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.67it/s] 30%|███ | 7/23 [00:01<00:03, 4.72it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.79it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.83it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.78it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.78it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.80it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.85it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.77it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.82it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.85it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.86it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.80it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.96it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.89it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.86it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.84it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.83it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.80it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.87it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.94it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.92it/s] 61%|██████ | 14/23 [00:02<00:01, 4.85it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.87it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.95it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.98it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.95it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.98it/s] 100%|██████████| 23/23 [00:04<00:00, 5.00it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/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<00:04, 4.98it/s] 9%|▊ | 2/23 [00:00<00:04, 5.02it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.89it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.95it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.98it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.00it/s] 30%|███ | 7/23 [00:01<00:03, 5.00it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.02it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.04it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.05it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.04it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.01it/s] 61%|██████ | 14/23 [00:02<00:01, 4.99it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.01it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.99it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.96it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.86it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.89it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.3ms Speed: 2.9ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.04it/s] 9%|▊ | 2/23 [00:00<00:04, 5.01it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.96it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.94it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.81it/s] 30%|███ | 7/23 [00:01<00:03, 4.87it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.86it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.95it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.95it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.90it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.95it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.82it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.82it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.87it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.06it/s] 9%|▊ | 2/23 [00:00<00:04, 4.88it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.69it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.77it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.84it/s] 30%|███ | 7/23 [00:01<00:03, 4.85it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.90it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.96it/s] 61%|██████ | 14/23 [00:02<00:01, 4.99it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.03it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.05it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.06it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.99it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.87it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.87it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.93it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/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<00:04, 4.61it/s] 9%|▊ | 2/23 [00:00<00:04, 4.68it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.72it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.86it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.97it/s] 30%|███ | 7/23 [00:01<00:03, 4.99it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.93it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.00it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.03it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.05it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.05it/s] 57%|█████▋ | 13/23 [00:02<00:02, 5.00it/s] 61%|██████ | 14/23 [00:02<00:01, 5.02it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.04it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.08it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.09it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.96it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.99it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.00it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.97it/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: 2.6ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.07it/s] 9%|▊ | 2/23 [00:00<00:04, 5.10it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.11it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.11it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.06it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.07it/s] 30%|███ | 7/23 [00:01<00:03, 5.07it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.05it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.03it/s] 43%|████▎ | 10/23 [00:01<00:02, 4.99it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.00it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.01it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.02it/s] 61%|██████ | 14/23 [00:02<00:01, 5.02it/s] 65%|██████▌ | 15/23 [00:02<00:01, 4.97it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.98it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.94it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.98it/s] 87%|████████▋ | 20/23 [00:03<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.95it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.00it/s] 9%|▊ | 2/23 [00:00<00:04, 4.85it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.85it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.92it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.80it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.80it/s] 30%|███ | 7/23 [00:01<00:03, 4.88it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.96it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.01it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.04it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.03it/s] 61%|██████ | 14/23 [00:02<00:01, 5.01it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.01it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.04it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.06it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.01it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.05it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.08it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.07it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.05it/s] 100%|██████████| 23/23 [00:04<00:00, 5.02it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/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<00:04, 4.92it/s] 9%|▊ | 2/23 [00:00<00:04, 5.00it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.93it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.98it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.02it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.03it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.86it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.95it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.99it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.01it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.03it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.01it/s] 61%|██████ | 14/23 [00:02<00:01, 5.04it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.06it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.07it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.06it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.97it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.98it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.94it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.83it/s] 100%|██████████| 23/23 [00:04<00:00, 4.72it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.