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realistic-art
realistic-art

realistic-art

6 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/ef78e5ade18548a999217de7bce11ab0/00000-530780340.webp
https://files.tungsten.run/uploads/d6fc0d1d537247449d76a6b5d9dd24b4/00001-530780341.webp
https://files.tungsten.run/uploads/6afb0941b5ca4635bf1c3b4af4f25739/00002-530780342.webp
https://files.tungsten.run/uploads/f2bf2823e8954daebddde431cdb0d42e/00003-530780343.webp
This example was created by evevalentine2017
Finished in 107.1 seconds
v1.0: Pulling from evevalentine2017/realistic-art 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 2e242ae980de: Pull complete d66bcd2d3f4b: Pull complete b391be0a2e5c: Pull complete Setting up the model... Processing... Full prompt: hyper detailed masterpiece, dynamic realistic digital art, awesome quality, heartwarming artisan's workshop, opportunities rivendell, towering access volumetric lighting, water, verdant,angelic, <lora:epiCRealismHelper:1> Full negative prompt: mirrored, cloned, duplicate, ugly, deformed, signature, watermark, realisticvision-negative-embedding 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:19, 2.04s/it] 5%|▌ | 2/40 [00:03<01:08, 1.80s/it] 8%|▊ | 3/40 [00:05<01:08, 1.85s/it] 10%|█ | 4/40 [00:07<01:07, 1.87s/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, 1.80s/it] 20%|██ | 8/40 [00:14<00:56, 1.75s/it] 22%|██▎ | 9/40 [00:16<00:55, 1.79s/it] 25%|██▌ | 10/40 [00:18<00:53, 1.79s/it] 28%|██▊ | 11/40 [00:19<00:52, 1.80s/it] 30%|███ | 12/40 [00:21<00:49, 1.78s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.78s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.79s/it] 38%|███▊ | 15/40 [00:27<00:44, 1.78s/it] 40%|████ | 16/40 [00:28<00:42, 1.75s/it] 42%|████▎ | 17/40 [00:30<00:41, 1.81s/it] 45%|████▌ | 18/40 [00:32<00:39, 1.78s/it] 48%|████▊ | 19/40 [00:34<00:37, 1.77s/it] 50%|█████ | 20/40 [00:35<00:34, 1.74s/it] 52%|█████▎ | 21/40 [00:37<00:31, 1.68s/it] 55%|█████▌ | 22/40 [00:39<00:30, 1.68s/it] 57%|█████▊ | 23/40 [00:40<00:28, 1.70s/it] 60%|██████ | 24/40 [00:42<00:26, 1.68s/it] 62%|██████▎ | 25/40 [00:44<00:24, 1.64s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.69s/it] 68%|██████▊ | 27/40 [00:47<00:21, 1.68s/it] 70%|███████ | 28/40 [00:49<00:20, 1.68s/it] 72%|███████▎ | 29/40 [00:50<00:17, 1.61s/it] 75%|███████▌ | 30/40 [00:52<00:16, 1.62s/it] 78%|███████▊ | 31/40 [00:53<00:14, 1.63s/it] 80%|████████ | 32/40 [00:55<00:12, 1.57s/it] 82%|████████▎ | 33/40 [00:56<00:11, 1.58s/it] 85%|████████▌ | 34/40 [00:58<00:09, 1.51s/it] 88%|████████▊ | 35/40 [00:59<00:07, 1.56s/it] 90%|█████████ | 36/40 [01:01<00:06, 1.51s/it] 92%|█████████▎| 37/40 [01:02<00:04, 1.49s/it] 95%|█████████▌| 38/40 [01:04<00:02, 1.44s/it] 98%|█████████▊| 39/40 [01:04<00:01, 1.24s/it] 100%|██████████| 40/40 [01:05<00:00, 1.06s/it] 100%|██████████| 40/40 [01:05<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.8ms Speed: 4.5ms preprocess, 7.8ms inference, 24.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:13, 1.66it/s] 9%|▊ | 2/23 [00:01<00:10, 2.01it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.21it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.38it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.40it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:03<00:06, 2.45it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.51it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.40it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.54it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.54it/s] 61%|██████ | 14/23 [00:05<00:03, 2.46it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.58it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.58it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.68it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.62it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.72it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.72it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.85it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.34it/s] 100%|██████████| 23/23 [00:08<00:00, 3.97it/s] 100%|██████████| 23/23 [00:08<00:00, 2.66it/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<00:09, 2.40it/s] 9%|▊ | 2/23 [00:00<00:08, 2.36it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.41it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.48it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.45it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.44it/s] 30%|███ | 7/23 [00:02<00:06, 2.48it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.53it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.43it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.45it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.45it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.58it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.57it/s] 61%|██████ | 14/23 [00:05<00:03, 2.55it/s] 65%|██████▌ | 15/23 [00:05<00:03, 2.64it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.64it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.69it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.64it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.72it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.75it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.84it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.33it/s] 100%|██████████| 23/23 [00:08<00:00, 3.97it/s] 100%|██████████| 23/23 [00:08<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 3.3ms preprocess, 7.4ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.42it/s] 9%|▊ | 2/23 [00:00<00:08, 2.36it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.42it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.51it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.47it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.44it/s] 30%|███ | 7/23 [00:02<00:06, 2.43it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.20it/s] 39%|███▉ | 9/23 [00:03<00:06, 2.21it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.30it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.34it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.45it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.48it/s] 61%|██████ | 14/23 [00:05<00:03, 2.50it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.60it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.60it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.71it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.62it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.71it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.75it/s]
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/ef78e5ade18548a999217de7bce11ab0/00000-530780340.webp
https://files.tungsten.run/uploads/d6fc0d1d537247449d76a6b5d9dd24b4/00001-530780341.webp
https://files.tungsten.run/uploads/6afb0941b5ca4635bf1c3b4af4f25739/00002-530780342.webp
https://files.tungsten.run/uploads/f2bf2823e8954daebddde431cdb0d42e/00003-530780343.webp
This example was created by evevalentine2017
Finished in 107.1 seconds
v1.0: Pulling from evevalentine2017/realistic-art 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 2e242ae980de: Pull complete d66bcd2d3f4b: Pull complete b391be0a2e5c: Pull complete Setting up the model... Processing... Full prompt: hyper detailed masterpiece, dynamic realistic digital art, awesome quality, heartwarming artisan's workshop, opportunities rivendell, towering access volumetric lighting, water, verdant,angelic, <lora:epiCRealismHelper:1> Full negative prompt: mirrored, cloned, duplicate, ugly, deformed, signature, watermark, realisticvision-negative-embedding 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:19, 2.04s/it] 5%|▌ | 2/40 [00:03<01:08, 1.80s/it] 8%|▊ | 3/40 [00:05<01:08, 1.85s/it] 10%|█ | 4/40 [00:07<01:07, 1.87s/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, 1.80s/it] 20%|██ | 8/40 [00:14<00:56, 1.75s/it] 22%|██▎ | 9/40 [00:16<00:55, 1.79s/it] 25%|██▌ | 10/40 [00:18<00:53, 1.79s/it] 28%|██▊ | 11/40 [00:19<00:52, 1.80s/it] 30%|███ | 12/40 [00:21<00:49, 1.78s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.78s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.79s/it] 38%|███▊ | 15/40 [00:27<00:44, 1.78s/it] 40%|████ | 16/40 [00:28<00:42, 1.75s/it] 42%|████▎ | 17/40 [00:30<00:41, 1.81s/it] 45%|████▌ | 18/40 [00:32<00:39, 1.78s/it] 48%|████▊ | 19/40 [00:34<00:37, 1.77s/it] 50%|█████ | 20/40 [00:35<00:34, 1.74s/it] 52%|█████▎ | 21/40 [00:37<00:31, 1.68s/it] 55%|█████▌ | 22/40 [00:39<00:30, 1.68s/it] 57%|█████▊ | 23/40 [00:40<00:28, 1.70s/it] 60%|██████ | 24/40 [00:42<00:26, 1.68s/it] 62%|██████▎ | 25/40 [00:44<00:24, 1.64s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.69s/it] 68%|██████▊ | 27/40 [00:47<00:21, 1.68s/it] 70%|███████ | 28/40 [00:49<00:20, 1.68s/it] 72%|███████▎ | 29/40 [00:50<00:17, 1.61s/it] 75%|███████▌ | 30/40 [00:52<00:16, 1.62s/it] 78%|███████▊ | 31/40 [00:53<00:14, 1.63s/it] 80%|████████ | 32/40 [00:55<00:12, 1.57s/it] 82%|████████▎ | 33/40 [00:56<00:11, 1.58s/it] 85%|████████▌ | 34/40 [00:58<00:09, 1.51s/it] 88%|████████▊ | 35/40 [00:59<00:07, 1.56s/it] 90%|█████████ | 36/40 [01:01<00:06, 1.51s/it] 92%|█████████▎| 37/40 [01:02<00:04, 1.49s/it] 95%|█████████▌| 38/40 [01:04<00:02, 1.44s/it] 98%|█████████▊| 39/40 [01:04<00:01, 1.24s/it] 100%|██████████| 40/40 [01:05<00:00, 1.06s/it] 100%|██████████| 40/40 [01:05<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.8ms Speed: 4.5ms preprocess, 7.8ms inference, 24.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:13, 1.66it/s] 9%|▊ | 2/23 [00:01<00:10, 2.01it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.21it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.38it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.40it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:03<00:06, 2.45it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.51it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.40it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.54it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.54it/s] 61%|██████ | 14/23 [00:05<00:03, 2.46it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.58it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.58it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.68it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.62it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.72it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.72it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.85it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.34it/s] 100%|██████████| 23/23 [00:08<00:00, 3.97it/s] 100%|██████████| 23/23 [00:08<00:00, 2.66it/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<00:09, 2.40it/s] 9%|▊ | 2/23 [00:00<00:08, 2.36it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.41it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.48it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.45it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.44it/s] 30%|███ | 7/23 [00:02<00:06, 2.48it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.53it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.43it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.45it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.45it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.58it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.57it/s] 61%|██████ | 14/23 [00:05<00:03, 2.55it/s] 65%|██████▌ | 15/23 [00:05<00:03, 2.64it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.64it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.69it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.64it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.72it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.75it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.84it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.33it/s] 100%|██████████| 23/23 [00:08<00:00, 3.97it/s] 100%|██████████| 23/23 [00:08<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 3.3ms preprocess, 7.4ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.42it/s] 9%|▊ | 2/23 [00:00<00:08, 2.36it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.42it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.51it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.47it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.44it/s] 30%|███ | 7/23 [00:02<00:06, 2.43it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.20it/s] 39%|███▉ | 9/23 [00:03<00:06, 2.21it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.30it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.34it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.45it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.48it/s] 61%|██████ | 14/23 [00:05<00:03, 2.50it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.60it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.60it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.71it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.62it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.71it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.75it/s]