Version: v1.1
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/d8e7340464c94bff990fff5223640188/00000-3276679675.webp
https://files.tungsten.run/uploads/f05290bbfbba40da8e011d8329064e71/00001-3276679676.webp
https://files.tungsten.run/uploads/d9c1036386c441c19d4a5af14ead1bf2/00002-3276679677.webp
https://files.tungsten.run/uploads/6ca0ae8f971d437ba8fb8c077978f7d4/00003-3276679678.webp
This example was created by evevalentine2017
Finished in 140.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: realistic sketch portrait of a man, flowers, [gears], pipes, dieselpunk, multi-colored ribbons, trading card, highly detailed, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.8> Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, 0%| | 0/70 [00:00<?, ?it/s] 1%|▏ | 1/70 [00:01<02:13, 1.94s/it] 3%|▎ | 2/70 [00:03<01:47, 1.57s/it] 4%|▍ | 3/70 [00:04<01:37, 1.45s/it] 6%|▌ | 4/70 [00:05<01:32, 1.40s/it] 7%|▋ | 5/70 [00:07<01:29, 1.38s/it] 9%|▊ | 6/70 [00:08<01:26, 1.36s/it] 10%|█ | 7/70 [00:09<01:24, 1.35s/it] 11%|█▏ | 8/70 [00:11<01:23, 1.34s/it] 13%|█▎ | 9/70 [00:12<01:21, 1.34s/it] 14%|█▍ | 10/70 [00:13<01:20, 1.34s/it] 16%|█▌ | 11/70 [00:15<01:18, 1.34s/it] 17%|█▋ | 12/70 [00:16<01:17, 1.34s/it] 19%|█▊ | 13/70 [00:17<01:16, 1.34s/it] 20%|██ | 14/70 [00:19<01:15, 1.34s/it] 21%|██▏ | 15/70 [00:20<01:13, 1.34s/it] 23%|██▎ | 16/70 [00:21<01:12, 1.34s/it] 24%|██▍ | 17/70 [00:23<01:11, 1.34s/it] 26%|██▌ | 18/70 [00:24<01:09, 1.35s/it] 27%|██▋ | 19/70 [00:25<01:08, 1.35s/it] 29%|██▊ | 20/70 [00:27<01:07, 1.35s/it] 30%|███ | 21/70 [00:28<01:06, 1.35s/it] 31%|███▏ | 22/70 [00:30<01:04, 1.35s/it] 33%|███▎ | 23/70 [00:31<01:03, 1.36s/it] 34%|███▍ | 24/70 [00:32<01:02, 1.36s/it] 36%|███▌ | 25/70 [00:34<01:01, 1.36s/it] 37%|███▋ | 26/70 [00:35<00:59, 1.36s/it] 39%|███▊ | 27/70 [00:36<00:58, 1.36s/it] 40%|████ | 28/70 [00:38<00:57, 1.36s/it] 41%|████▏ | 29/70 [00:39<00:55, 1.36s/it] 43%|████▎ | 30/70 [00:40<00:54, 1.36s/it] 44%|████▍ | 31/70 [00:42<00:53, 1.36s/it] 46%|████▌ | 32/70 [00:43<00:51, 1.37s/it] 47%|████▋ | 33/70 [00:45<00:50, 1.36s/it] 49%|████▊ | 34/70 [00:46<00:49, 1.36s/it] 50%|█████ | 35/70 [00:47<00:47, 1.36s/it] 51%|█████▏ | 36/70 [00:49<00:46, 1.36s/it] 53%|█████▎ | 37/70 [00:50<00:44, 1.36s/it] 54%|█████▍ | 38/70 [00:51<00:43, 1.36s/it] 56%|█████▌ | 39/70 [00:53<00:42, 1.36s/it] 57%|█████▋ | 40/70 [00:54<00:40, 1.35s/it] 59%|█████▊ | 41/70 [00:55<00:39, 1.35s/it] 60%|██████ | 42/70 [00:57<00:37, 1.35s/it] 61%|██████▏ | 43/70 [00:58<00:36, 1.35s/it] 63%|██████▎ | 44/70 [00:59<00:35, 1.35s/it] 64%|██████▍ | 45/70 [01:01<00:33, 1.35s/it] 66%|██████▌ | 46/70 [01:02<00:32, 1.35s/it] 67%|██████▋ | 47/70 [01:03<00:30, 1.34s/it] 69%|██████▊ | 48/70 [01:05<00:29, 1.34s/it] 70%|███████ | 49/70 [01:06<00:28, 1.35s/it] 71%|███████▏ | 50/70 [01:07<00:26, 1.34s/it] 73%|███████▎ | 51/70 [01:09<00:25, 1.34s/it] 74%|███████▍ | 52/70 [01:10<00:24, 1.34s/it] 76%|███████▌ | 53/70 [01:11<00:22, 1.34s/it] 77%|███████▋ | 54/70 [01:13<00:21, 1.34s/it] 79%|███████▊ | 55/70 [01:14<00:20, 1.34s/it] 80%|████████ | 56/70 [01:15<00:18, 1.34s/it] 81%|████████▏ | 57/70 [01:17<00:17, 1.34s/it] 83%|████████▎ | 58/70 [01:18<00:15, 1.33s/it] 84%|████████▍ | 59/70 [01:19<00:14, 1.33s/it] 86%|████████▌ | 60/70 [01:21<00:13, 1.33s/it] 87%|████████▋ | 61/70 [01:22<00:11, 1.33s/it] 89%|████████▊ | 62/70 [01:23<00:10, 1.33s/it] 90%|█████████ | 63/70 [01:25<00:09, 1.33s/it] 91%|█████████▏| 64/70 [01:26<00:07, 1.33s/it] 93%|█████████▎| 65/70 [01:27<00:06, 1.33s/it] 94%|█████████▍| 66/70 [01:29<00:05, 1.33s/it] 96%|█████████▌| 67/70 [01:30<00:03, 1.33s/it] 97%|█████████▋| 68/70 [01:31<00:02, 1.33s/it] 99%|█████████▊| 69/70 [01:33<00:01, 1.33s/it] 100%|██████████| 70/70 [01:33<00:00, 1.13s/it] 100%|██████████| 70/70 [01:33<00:00, 1.34s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.01s 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:13, 2.27it/s] 6%|▋ | 2/32 [00:00<00:10, 2.78it/s] 9%|▉ | 3/32 [00:01<00:09, 2.96it/s] 12%|█▎ | 4/32 [00:01<00:09, 3.04it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.13it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.18it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.17it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.20it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.22it/s] 31%|███▏ | 10/32 [00:03<00:06, 3.21it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.22it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.24it/s] 41%|████ | 13/32 [00:04<00:05, 3.23it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.22it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.25it/s] 50%|█████ | 16/32 [00:05<00:04, 3.24it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.21it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.23it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.23it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.23it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.23it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.23it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.23it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.23it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.24it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.23it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.23it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.23it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.23it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.23it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.23it/s] 100%|██████████| 32/32 [00:09<00:00, 3.80it/s] 100%|██████████| 32/32 [00:09<00:00, 3.24it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 1 with 2nd settings. 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.40it/s] 6%|▋ | 2/32 [00:00<00:08, 3.34it/s] 9%|▉ | 3/32 [00:00<00:08, 3.30it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.18it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.21it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.16it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.17it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.19it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.21it/s] 31%|███▏ | 10/32 [00:03<00:06, 3.20it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.21it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.22it/s] 41%|████ | 13/32 [00:04<00:05, 3.21it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.21it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.23it/s] 50%|█████ | 16/32 [00:04<00:04, 3.23it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.12it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.16it/s] 59%|█████▉ | 19/32 [00:05<00:04, 3.17it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.18it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.20it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.20it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.19it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.21it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.20it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.20it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.21it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.22it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.21it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.22it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.22it/s] 100%|██████████| 32/32 [00:09<00:00, 3.78it/s] 100%|██████████| 32/32 [00:09<00:00, 3.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.35it/s] 6%|▋ | 2/32 [00:00<00:09, 3.25it/s] 9%|▉ | 3/32 [00:00<00:09, 3.20it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.17it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.21it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.22it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.20it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.21it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.23it/s] 31%|███▏ | 10/32 [00:03<00:06, 3.21it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.21it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.23it/s] 41%|████ | 13/32 [00:04<00:05, 3.21it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.21it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.22it/s] 50%|█████ | 16/32 [00:04<00:04, 3.21it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.20it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.22it/s] 59%|█████▉ | 19/32 [00:05<00:04, 3.22it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.21it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.21it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.22it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.21it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.21it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.21it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.20it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.20it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.21it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.21it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.21it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.21it/s] 100%|██████████| 32/32 [00:09<00:00, 3.77it/s] 100%|██████████| 32/32 [00:09<00:00, 3.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.23it/s] 6%|▋ | 2/32 [00:00<00:09, 3.26it/s] 9%|▉ | 3/32 [00:00<00:08, 3.23it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.19it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.22it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.23it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.20it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.21it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.23it/s] 31%|███▏ | 10/32 [00:03<00:06, 3.20it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.20it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.22it/s] 41%|████ | 13/32 [00:04<00:05, 3.20it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.20it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.21it/s] 50%|█████ | 16/32 [00:04<00:05, 3.20it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.19it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.20it/s] 59%|█████▉ | 19/32 [00:05<00:04, 3.20it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.21it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.21it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.21it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.20it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.21it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.21it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.21it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.21it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.21it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.20it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.21it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.21it/s] 100%|██████████| 32/32 [00:09<00:00, 3.77it/s] 100%|██████████| 32/32 [00:09<00:00, 3.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/d8e7340464c94bff990fff5223640188/00000-3276679675.webp
https://files.tungsten.run/uploads/f05290bbfbba40da8e011d8329064e71/00001-3276679676.webp
https://files.tungsten.run/uploads/d9c1036386c441c19d4a5af14ead1bf2/00002-3276679677.webp
https://files.tungsten.run/uploads/6ca0ae8f971d437ba8fb8c077978f7d4/00003-3276679678.webp
This example was created by evevalentine2017
Finished in 140.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: realistic sketch portrait of a man, flowers, [gears], pipes, dieselpunk, multi-colored ribbons, trading card, highly detailed, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.8> Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, 0%| | 0/70 [00:00<?, ?it/s] 1%|▏ | 1/70 [00:01<02:13, 1.94s/it] 3%|▎ | 2/70 [00:03<01:47, 1.57s/it] 4%|▍ | 3/70 [00:04<01:37, 1.45s/it] 6%|▌ | 4/70 [00:05<01:32, 1.40s/it] 7%|▋ | 5/70 [00:07<01:29, 1.38s/it] 9%|▊ | 6/70 [00:08<01:26, 1.36s/it] 10%|█ | 7/70 [00:09<01:24, 1.35s/it] 11%|█▏ | 8/70 [00:11<01:23, 1.34s/it] 13%|█▎ | 9/70 [00:12<01:21, 1.34s/it] 14%|█▍ | 10/70 [00:13<01:20, 1.34s/it] 16%|█▌ | 11/70 [00:15<01:18, 1.34s/it] 17%|█▋ | 12/70 [00:16<01:17, 1.34s/it] 19%|█▊ | 13/70 [00:17<01:16, 1.34s/it] 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[00:09<00:00, 3.24it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 1 with 2nd settings. 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.40it/s] 6%|▋ | 2/32 [00:00<00:08, 3.34it/s] 9%|▉ | 3/32 [00:00<00:08, 3.30it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.18it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.21it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.16it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.17it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.19it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.21it/s] 31%|███▏ | 10/32 [00:03<00:06, 3.20it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.21it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.22it/s] 41%|████ | 13/32 [00:04<00:05, 3.21it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.21it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.23it/s] 50%|█████ | 16/32 [00:04<00:04, 3.23it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.12it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.16it/s] 59%|█████▉ | 19/32 [00:05<00:04, 3.17it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.18it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.20it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.20it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.19it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.21it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.20it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.20it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.21it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.22it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.21it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.22it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.22it/s] 100%|██████████| 32/32 [00:09<00:00, 3.78it/s] 100%|██████████| 32/32 [00:09<00:00, 3.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.35it/s] 6%|▋ | 2/32 [00:00<00:09, 3.25it/s] 9%|▉ | 3/32 [00:00<00:09, 3.20it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.17it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.21it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.22it/s] 22%|██▏ | 7/32 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[00:09<00:00, 3.21it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.21it/s] 100%|██████████| 32/32 [00:09<00:00, 3.77it/s] 100%|██████████| 32/32 [00:09<00:00, 3.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.23it/s] 6%|▋ | 2/32 [00:00<00:09, 3.26it/s] 9%|▉ | 3/32 [00:00<00:08, 3.23it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.19it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.22it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.23it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.20it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.21it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.23it/s] 31%|███▏ | 10/32 [00:03<00:06, 3.20it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.20it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.22it/s] 41%|████ | 13/32 [00:04<00:05, 3.20it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.20it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.21it/s] 50%|█████ | 16/32 [00:04<00:05, 3.20it/s] 53%|█████▎ | 17/32 [00:05<00:04, 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Uploading outputs... Finished.