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Masked Girls with EpicBabes Realistic
epicbabes-realistic:bed6df0
evevalentine2017
evevalentine2017
·
12/17/2023
364
Input
prompt
Specify things to see in the output
nu-13, red eyes, white hair, single braid, ahoge, (eyepatch), floral lace skirt, garter belt, fish nets, full body fish net, jeweled hair pin, against a stained glass window, (shiny skin), volumetric light, <lora:add_detail:0.9>, <lora:baby_face_v1:0.2>, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
text, cartoon, painting, illustration, (worst quality, low quality, normal quality:2), (big head), dark face,
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
0.1
contrast
Adjust contrast
0.1
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1257302408
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.
0.55
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.
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
30
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
baby_face_v1.safetensors
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/274fb01b24a4451d92c68893e2664cca/00000-1257302408.webp
https://files.tungsten.run/uploads/0bcd13686dce41219e2054786769c63f/00001-1257302409.webp
https://files.tungsten.run/uploads/8f65c1adb3eb473eb0575c4a46694cdc/00002-1257302410.webp
https://files.tungsten.run/uploads/bb00490161a04515be5cab8010aa6d71/00003-1257302411.webp
Finished in 47.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: nu-13, red eyes, white hair, single braid, ahoge, (eyepatch), floral lace skirt, garter belt, fish nets, full body fish net, jeweled hair pin, against a stained glass window, (shiny skin), volumetric light, <lora:baby_face_v1:0.2>, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_brightness:0.1>, <lora:contrast_slider_v10:0.1> Full negative prompt: text, cartoon, painting, illustration, (worst quality, low quality, normal quality:2), (big head), dark face, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:41, 1.43s/it] 7%|▋ | 2/30 [00:02<00:27, 1.02it/s] 10%|█ | 3/30 [00:02<00:22, 1.21it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.31it/s] 17%|█▋ | 5/30 [00:04<00:18, 1.38it/s] 20%|██ | 6/30 [00:04<00:16, 1.42it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.45it/s] 27%|██▋ | 8/30 [00:06<00:14, 1.47it/s] 30%|███ | 9/30 [00:06<00:14, 1.49it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.49it/s] 37%|███▋ | 11/30 [00:08<00:12, 1.50it/s] 40%|████ | 12/30 [00:08<00:11, 1.50it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.50it/s] 47%|████▋ | 14/30 [00:10<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.50it/s] 57%|█████▋ | 17/30 [00:12<00:08, 1.49it/s] 60%|██████ | 18/30 [00:12<00:08, 1.49it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.49it/s] 67%|██████▋ | 20/30 [00:14<00:06, 1.48it/s] 70%|███████ | 21/30 [00:14<00:06, 1.48it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.48it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.48it/s] 80%|████████ | 24/30 [00:16<00:04, 1.47it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.48it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.47it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.47it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.47it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.48it/s] 100%|██████████| 30/30 [00:20<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.2ms Speed: 4.3ms preprocess, 8.2ms inference, 35.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.31it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.39it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.82it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.07it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.16it/s] 41%|████ | 7/17 [00:01<00:01, 6.19it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.29it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.28it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.37it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.43it/s] 71%|███████ | 12/17 [00:02<00:00, 6.42it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.36it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.34it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.34it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.40it/s] 100%|██████████| 17/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.11it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.88it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.61it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.60it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.59it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.46it/s] 41%|████ | 7/17 [00:01<00:01, 6.41it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.44it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.47it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.49it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.53it/s] 71%|███████ | 12/17 [00:01<00:00, 6.52it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.49it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.38it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.40it/s] 100%|██████████| 17/17 [00:02<00:00, 6.43it/s] 100%|██████████| 17/17 [00:02<00:00, 6.48it/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: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.90it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.61it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.60it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.59it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.49it/s] 41%|████ | 7/17 [00:01<00:01, 6.44it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.48it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.51it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.52it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.52it/s] 71%|███████ | 12/17 [00:01<00:00, 6.52it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.44it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.41it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.41it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.47it/s] 100%|██████████| 17/17 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.24s 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%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.92it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.69it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.64it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.62it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.60it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.51it/s] 41%|████ | 7/17 [00:01<00:01, 6.44it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.47it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.48it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.50it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.53it/s] 71%|███████ | 12/17 [00:01<00:00, 6.51it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.49it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.48it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.49it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.51it/s] 100%|██████████| 17/17 [00:02<00:00, 6.51it/s] 100%|██████████| 17/17 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
nu-13, red eyes, white hair, single braid, ahoge, (eyepatch), floral lace skirt, garter belt, fish nets, full body fish net, jeweled hair pin, against a stained glass window, (shiny skin), volumetric light, <lora:add_detail:0.9>, <lora:baby_face_v1:0.2>, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
text, cartoon, painting, illustration, (worst quality, low quality, normal quality:2), (big head), dark face,
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
0.1
contrast
Adjust contrast
0.1
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1257302408
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.
0.55
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.
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
30
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
baby_face_v1.safetensors
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/274fb01b24a4451d92c68893e2664cca/00000-1257302408.webp
https://files.tungsten.run/uploads/0bcd13686dce41219e2054786769c63f/00001-1257302409.webp
https://files.tungsten.run/uploads/8f65c1adb3eb473eb0575c4a46694cdc/00002-1257302410.webp
https://files.tungsten.run/uploads/bb00490161a04515be5cab8010aa6d71/00003-1257302411.webp
Finished in 47.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: nu-13, red eyes, white hair, single braid, ahoge, (eyepatch), floral lace skirt, garter belt, fish nets, full body fish net, jeweled hair pin, against a stained glass window, (shiny skin), volumetric light, <lora:baby_face_v1:0.2>, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_brightness:0.1>, <lora:contrast_slider_v10:0.1> Full negative prompt: text, cartoon, painting, illustration, (worst quality, low quality, normal quality:2), (big head), dark face, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:41, 1.43s/it] 7%|▋ | 2/30 [00:02<00:27, 1.02it/s] 10%|█ | 3/30 [00:02<00:22, 1.21it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.31it/s] 17%|█▋ | 5/30 [00:04<00:18, 1.38it/s] 20%|██ | 6/30 [00:04<00:16, 1.42it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.45it/s] 27%|██▋ | 8/30 [00:06<00:14, 1.47it/s] 30%|███ | 9/30 [00:06<00:14, 1.49it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.49it/s] 37%|███▋ | 11/30 [00:08<00:12, 1.50it/s] 40%|████ | 12/30 [00:08<00:11, 1.50it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.50it/s] 47%|████▋ | 14/30 [00:10<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.50it/s] 57%|█████▋ | 17/30 [00:12<00:08, 1.49it/s] 60%|██████ | 18/30 [00:12<00:08, 1.49it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.49it/s] 67%|██████▋ | 20/30 [00:14<00:06, 1.48it/s] 70%|███████ | 21/30 [00:14<00:06, 1.48it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.48it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.48it/s] 80%|████████ | 24/30 [00:16<00:04, 1.47it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.48it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.47it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.47it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.47it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.48it/s] 100%|██████████| 30/30 [00:20<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.2ms Speed: 4.3ms preprocess, 8.2ms inference, 35.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.31it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.39it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.82it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.07it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.16it/s] 41%|████ | 7/17 [00:01<00:01, 6.19it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.29it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.28it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.37it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.43it/s] 71%|███████ | 12/17 [00:02<00:00, 6.42it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.36it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.34it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.34it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.40it/s] 100%|██████████| 17/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.11it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.88it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.61it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.60it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.59it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.46it/s] 41%|████ | 7/17 [00:01<00:01, 6.41it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.44it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.47it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.49it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.53it/s] 71%|███████ | 12/17 [00:01<00:00, 6.52it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.49it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.38it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.40it/s] 100%|██████████| 17/17 [00:02<00:00, 6.43it/s] 100%|██████████| 17/17 [00:02<00:00, 6.48it/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: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.90it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.61it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.60it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.59it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.49it/s] 41%|████ | 7/17 [00:01<00:01, 6.44it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.48it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.51it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.52it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.52it/s] 71%|███████ | 12/17 [00:01<00:00, 6.52it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.44it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.41it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.41it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.47it/s] 100%|██████████| 17/17 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.24s 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%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.92it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.69it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.64it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.62it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.60it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.51it/s] 41%|████ | 7/17 [00:01<00:01, 6.44it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.47it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.48it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.50it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.53it/s] 71%|███████ | 12/17 [00:01<00:00, 6.51it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.49it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.48it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.49it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.51it/s] 100%|██████████| 17/17 [00:02<00:00, 6.51it/s] 100%|██████████| 17/17 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.