authenticity
authenticity
4 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/d27b93eecff94ebda28b0d6f7ac3bcac/00000-3984979905.webp
https://files.tungsten.run/uploads/3fd286fb3faf4ccc88c52645d07b6930/00001-3984979906.webp
https://files.tungsten.run/uploads/9e9883c5e1544c40a4a18826534e2360/00002-3984979907.webp
https://files.tungsten.run/uploads/d6a6754b34f647db96672fb5c13c7392/00003-3984979908.webp
This example was created by evevalentine2017
Finished in 157.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: 1girl, standing, holding tray, milk bottle, cowprint bikini, thighhighs, elbow gloves, thick thighs, large breasts, embarrassed, blush, elf, cowbell, dark skin, tan, <lora:Outfit_CowprintBikini:1> Full negative prompt: EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:13, 1.88s/it] 5%|▌ | 2/40 [00:03<01:05, 1.73s/it] 8%|▊ | 3/40 [00:05<01:06, 1.80s/it] 10%|█ | 4/40 [00:07<01:06, 1.85s/it] 12%|█▎ | 5/40 [00:09<01:04, 1.85s/it] 15%|█▌ | 6/40 [00:11<01:03, 1.86s/it] 18%|█▊ | 7/40 [00:12<00:59, 1.81s/it] 20%|██ | 8/40 [00:14<00:56, 1.77s/it] 22%|██▎ | 9/40 [00:16<00:56, 1.81s/it] 25%|██▌ | 10/40 [00:18<00:54, 1.80s/it] 28%|██▊ | 11/40 [00:19<00:52, 1.81s/it] 30%|███ | 12/40 [00:21<00:50, 1.80s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.81s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.80s/it] 38%|███▊ | 15/40 [00:27<00:44, 1.80s/it] 40%|████ | 16/40 [00:28<00:42, 1.77s/it] 42%|████▎ | 17/40 [00:30<00:41, 1.79s/it] 45%|████▌ | 18/40 [00:32<00:38, 1.77s/it] 48%|████▊ | 19/40 [00:34<00:37, 1.78s/it] 50%|█████ | 20/40 [00:35<00:35, 1.75s/it] 52%|█████▎ | 21/40 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2.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 12.4ms Speed: 3.8ms preprocess, 12.4ms inference, 3.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:09, 1.97it/s] 11%|█ | 2/19 [00:00<00:08, 2.04it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.15it/s] 21%|██ | 4/19 [00:01<00:06, 2.21it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.14it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.17it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.16it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.26it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.24it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.24it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.40it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.45it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.52it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.88it/s] 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100%|██████████| 19/19 [00:07<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.14it/s] 11%|█ | 2/19 [00:00<00:07, 2.15it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.20it/s] 21%|██ | 4/19 [00:01<00:06, 2.22it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.12it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.12it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.12it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.23it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.22it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.26it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.30it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.21it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.27it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.32it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.41it/s] 95%|█████████▍| 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[00:07<00:01, 2.22it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.32it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.67it/s] 100%|██████████| 19/19 [00:08<00:00, 3.04it/s] 100%|██████████| 19/19 [00:08<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.18it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.18it/s] 21%|██ | 4/19 [00:01<00:06, 2.24it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.14it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.22it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.21it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.20it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.29it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.25it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.34it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.26it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.33it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.37it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.46it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.80it/s] 100%|██████████| 19/19 [00:07<00:00, 3.23it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.4ms Speed: 3.0ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.12it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.19it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.15it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.15it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.15it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.26it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.25it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.24it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.33it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.30it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.39it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.40it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.44it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.51it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.87it/s] 100%|██████████| 19/19 [00:07<00:00, 3.30it/s] 100%|██████████| 19/19 [00:07<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.14it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.19it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.15it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.14it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.24it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.25it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.24it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.30it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.38it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.33it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.38it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.41it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.48it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.81it/s] 100%|██████████| 19/19 [00:07<00:00, 3.22it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.19it/s] 11%|█ | 2/19 [00:00<00:07, 2.16it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.21it/s] 21%|██ | 4/19 [00:01<00:06, 2.25it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.18it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.17it/s] 37%|███▋ | 7/19 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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/d27b93eecff94ebda28b0d6f7ac3bcac/00000-3984979905.webp
https://files.tungsten.run/uploads/3fd286fb3faf4ccc88c52645d07b6930/00001-3984979906.webp
https://files.tungsten.run/uploads/9e9883c5e1544c40a4a18826534e2360/00002-3984979907.webp
https://files.tungsten.run/uploads/d6a6754b34f647db96672fb5c13c7392/00003-3984979908.webp
This example was created by evevalentine2017
Finished in 157.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: 1girl, standing, holding tray, milk bottle, cowprint bikini, thighhighs, elbow gloves, thick thighs, large breasts, embarrassed, blush, elf, cowbell, dark skin, tan, <lora:Outfit_CowprintBikini:1> Full negative prompt: EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:13, 1.88s/it] 5%|▌ | 2/40 [00:03<01:05, 1.73s/it] 8%|▊ | 3/40 [00:05<01:06, 1.80s/it] 10%|█ | 4/40 [00:07<01:06, 1.85s/it] 12%|█▎ | 5/40 [00:09<01:04, 1.85s/it] 15%|█▌ | 6/40 [00:11<01:03, 1.86s/it] 18%|█▊ | 7/40 [00:12<00:59, 1.81s/it] 20%|██ | 8/40 [00:14<00:56, 1.77s/it] 22%|██▎ | 9/40 [00:16<00:56, 1.81s/it] 25%|██▌ | 10/40 [00:18<00:54, 1.80s/it] 28%|██▊ | 11/40 [00:19<00:52, 1.81s/it] 30%|███ | 12/40 [00:21<00:50, 1.80s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.81s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.80s/it] 38%|███▊ | 15/40 [00:27<00:44, 1.80s/it] 40%|████ | 16/40 [00:28<00:42, 1.77s/it] 42%|████▎ | 17/40 [00:30<00:41, 1.79s/it] 45%|████▌ | 18/40 [00:32<00:38, 1.77s/it] 48%|████▊ | 19/40 [00:34<00:37, 1.78s/it] 50%|█████ | 20/40 [00:35<00:35, 1.75s/it] 52%|█████▎ | 21/40 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2.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 12.4ms Speed: 3.8ms preprocess, 12.4ms inference, 3.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:09, 1.97it/s] 11%|█ | 2/19 [00:00<00:08, 2.04it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.15it/s] 21%|██ | 4/19 [00:01<00:06, 2.21it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.14it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.17it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.16it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.26it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.24it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.24it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.40it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.45it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.52it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.88it/s] 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100%|██████████| 19/19 [00:07<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.14it/s] 11%|█ | 2/19 [00:00<00:07, 2.15it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.20it/s] 21%|██ | 4/19 [00:01<00:06, 2.22it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.12it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.12it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.12it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.23it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.22it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.26it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.30it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.21it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.27it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.32it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.41it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.75it/s] 100%|██████████| 19/19 [00:07<00:00, 3.17it/s] 100%|██████████| 19/19 [00:07<00:00, 2.38it/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, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.06it/s] 11%|█ | 2/19 [00:00<00:08, 2.09it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.15it/s] 21%|██ | 4/19 [00:01<00:06, 2.20it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.14it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.16it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.16it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.24it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.21it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.27it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.23it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.32it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.24it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.27it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.22it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.32it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.67it/s] 100%|██████████| 19/19 [00:08<00:00, 3.04it/s] 100%|██████████| 19/19 [00:08<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.18it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.18it/s] 21%|██ | 4/19 [00:01<00:06, 2.24it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.14it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.22it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.21it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.20it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.29it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.25it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.34it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.26it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.33it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.37it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.46it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.80it/s] 100%|██████████| 19/19 [00:07<00:00, 3.23it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.4ms Speed: 3.0ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.12it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.19it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.15it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.15it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.15it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.26it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.25it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.24it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.33it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.30it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.39it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.40it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.44it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.51it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.87it/s] 100%|██████████| 19/19 [00:07<00:00, 3.30it/s] 100%|██████████| 19/19 [00:07<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.14it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.19it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.15it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.14it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.24it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.25it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.24it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.30it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.38it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.33it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.38it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.41it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.48it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.81it/s] 100%|██████████| 19/19 [00:07<00:00, 3.22it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.19it/s] 11%|█ | 2/19 [00:00<00:07, 2.16it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.21it/s] 21%|██ | 4/19 [00:01<00:06, 2.25it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.18it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.17it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.17it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.27it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.24it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.23it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.29it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.38it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.31it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.38it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.41it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.50it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.83it/s] 100%|██████████| 19/19 [00:07<00:00, 3.21it/s] 100%|██████████| 19/19 [00:07<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.