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Cute Pilots with Tamarin XL
tamarin-xl:v1.0
evevalentine2017
evevalentine2017
·
Feb 3
386
Input
prompt
Specify things to see in the output
girl pilot, waist and torso portrait in aircraft cabin, 3/4 view, leather aviator helmet, goggles, masterpiece, best quality, Ultra high resolution, (deteiled skin:1.4), cozy, slate gray atmosphere, soft cinematic light, 4k, highly detailed, realism, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, warm colors, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, <lora:tweak-detail-xl:2>
negative_prompt
Specify things to not see in the output
letters, words, signature,
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3648863709
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
40
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tweak-detail-xl.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/5b43df103fc048a5bbbb6910571541c2/00000-3648863709.webp
https://files.tungsten.run/uploads/2c7e8e4464e7405eb3dece397d463822/00001-3648863710.webp
https://files.tungsten.run/uploads/53e58d438aa9447a9eda228d7b2ef865/00002-3648863711.webp
Finished in 92.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: girl pilot, waist and torso portrait in aircraft cabin, 3/4 view, leather aviator helmet, goggles, masterpiece, best quality, Ultra high resolution, (deteiled skin:1.4), cozy, slate gray atmosphere, soft cinematic light, 4k, highly detailed, realism, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, warm colors, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, <lora:tweak-detail-xl:2> Full negative prompt: letters, words, signature, 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:31, 2.33s/it] 5%|▌ | 2/40 [00:03<00:56, 1.48s/it] 8%|▊ | 3/40 [00:04<00:44, 1.20s/it] 10%|█ | 4/40 [00:04<00:38, 1.07s/it] 12%|█▎ | 5/40 [00:05<00:34, 1.00it/s] 15%|█▌ | 6/40 [00:06<00:32, 1.05it/s] 18%|█▊ | 7/40 [00:07<00:30, 1.08it/s] 20%|██ | 8/40 [00:08<00:29, 1.10it/s] 22%|██▎ | 9/40 [00:09<00:27, 1.11it/s] 25%|██▌ | 10/40 [00:10<00:26, 1.12it/s] 28%|██▊ | 11/40 [00:11<00:25, 1.12it/s] 30%|███ | 12/40 [00:11<00:24, 1.13it/s] 32%|███▎ | 13/40 [00:12<00:23, 1.13it/s] 35%|███▌ | 14/40 [00:13<00:22, 1.13it/s] 38%|███▊ | 15/40 [00:14<00:22, 1.13it/s] 40%|████ | 16/40 [00:15<00:21, 1.13it/s] 42%|████▎ | 17/40 [00:16<00:20, 1.13it/s] 45%|████▌ | 18/40 [00:17<00:19, 1.13it/s] 48%|████▊ | 19/40 [00:18<00:18, 1.13it/s] 50%|█████ | 20/40 [00:19<00:17, 1.13it/s] 52%|█████▎ | 21/40 [00:19<00:16, 1.13it/s] 55%|█████▌ | 22/40 [00:20<00:15, 1.13it/s] 57%|█████▊ | 23/40 [00:21<00:15, 1.13it/s] 60%|██████ | 24/40 [00:22<00:14, 1.12it/s] 62%|██████▎ | 25/40 [00:23<00:13, 1.12it/s] 65%|██████▌ | 26/40 [00:24<00:12, 1.12it/s] 68%|██████▊ | 27/40 [00:25<00:11, 1.12it/s] 70%|███████ | 28/40 [00:26<00:10, 1.12it/s] 72%|███████▎ | 29/40 [00:27<00:09, 1.11it/s] 75%|███████▌ | 30/40 [00:27<00:08, 1.11it/s] 78%|███████▊ | 31/40 [00:28<00:08, 1.11it/s] 80%|████████ | 32/40 [00:29<00:07, 1.11it/s] 82%|████████▎ | 33/40 [00:30<00:06, 1.11it/s] 85%|████████▌ | 34/40 [00:31<00:05, 1.11it/s] 88%|████████▊ | 35/40 [00:32<00:04, 1.11it/s] 90%|█████████ | 36/40 [00:33<00:03, 1.11it/s] 92%|█████████▎| 37/40 [00:34<00:02, 1.10it/s] 95%|█████████▌| 38/40 [00:35<00:01, 1.10it/s] 98%|█████████▊| 39/40 [00:36<00:00, 1.10it/s] 100%|██████████| 40/40 [00:37<00:00, 1.11it/s] 100%|██████████| 40/40 [00:37<00:00, 1.08it/s] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 166.8ms Speed: 2.7ms preprocess, 166.8ms inference, 31.2ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.33it/s] 11%|█ | 2/19 [00:01<00:11, 1.51it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.58it/s] 21%|██ | 4/19 [00:02<00:09, 1.61it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.64it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.66it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.67it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.67it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.67it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.67it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.67it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.67it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.67it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.67it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.66it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.67it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.68it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 104.2ms Speed: 2.6ms preprocess, 104.2ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 1 face, 7.8ms Speed: 2.2ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.66it/s] 11%|█ | 2/19 [00:01<00:10, 1.65it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.64it/s] 21%|██ | 4/19 [00:02<00:09, 1.65it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.65it/s] 32%|███▏ | 6/19 [00:03<00:09, 1.41it/s] 37%|███▋ | 7/19 [00:04<00:09, 1.28it/s] 42%|████▏ | 8/19 [00:05<00:09, 1.20it/s] 47%|████▋ | 9/19 [00:06<00:08, 1.15it/s] 53%|█████▎ | 10/19 [00:07<00:08, 1.09it/s] 58%|█████▊ | 11/19 [00:08<00:07, 1.07it/s] 63%|██████▎ | 12/19 [00:09<00:06, 1.05it/s] 68%|██████▊ | 13/19 [00:10<00:05, 1.07it/s] 74%|███████▎ | 14/19 [00:11<00:04, 1.20it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.30it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.39it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.45it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.50it/s] 100%|██████████| 19/19 [00:14<00:00, 1.55it/s] 100%|██████████| 19/19 [00:14<00:00, 1.33it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 1 face, 8.5ms Speed: 2.3ms preprocess, 8.5ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.60it/s] 11%|█ | 2/19 [00:01<00:10, 1.64it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.63it/s] 21%|██ | 4/19 [00:02<00:09, 1.64it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.66it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.65it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.65it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.65it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.67it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.67it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.66it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.65it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.65it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.66it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.64it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.64it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.64it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.64it/s] 100%|██████████| 19/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
girl pilot, waist and torso portrait in aircraft cabin, 3/4 view, leather aviator helmet, goggles, masterpiece, best quality, Ultra high resolution, (deteiled skin:1.4), cozy, slate gray atmosphere, soft cinematic light, 4k, highly detailed, realism, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, warm colors, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, <lora:tweak-detail-xl:2>
negative_prompt
Specify things to not see in the output
letters, words, signature,
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3648863709
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
40
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tweak-detail-xl.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/5b43df103fc048a5bbbb6910571541c2/00000-3648863709.webp
https://files.tungsten.run/uploads/2c7e8e4464e7405eb3dece397d463822/00001-3648863710.webp
https://files.tungsten.run/uploads/53e58d438aa9447a9eda228d7b2ef865/00002-3648863711.webp
Finished in 92.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: girl pilot, waist and torso portrait in aircraft cabin, 3/4 view, leather aviator helmet, goggles, masterpiece, best quality, Ultra high resolution, (deteiled skin:1.4), cozy, slate gray atmosphere, soft cinematic light, 4k, highly detailed, realism, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, warm colors, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, <lora:tweak-detail-xl:2> Full negative prompt: letters, words, signature, 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:31, 2.33s/it] 5%|▌ | 2/40 [00:03<00:56, 1.48s/it] 8%|▊ | 3/40 [00:04<00:44, 1.20s/it] 10%|█ | 4/40 [00:04<00:38, 1.07s/it] 12%|█▎ | 5/40 [00:05<00:34, 1.00it/s] 15%|█▌ | 6/40 [00:06<00:32, 1.05it/s] 18%|█▊ | 7/40 [00:07<00:30, 1.08it/s] 20%|██ | 8/40 [00:08<00:29, 1.10it/s] 22%|██▎ | 9/40 [00:09<00:27, 1.11it/s] 25%|██▌ | 10/40 [00:10<00:26, 1.12it/s] 28%|██▊ | 11/40 [00:11<00:25, 1.12it/s] 30%|███ | 12/40 [00:11<00:24, 1.13it/s] 32%|███▎ | 13/40 [00:12<00:23, 1.13it/s] 35%|███▌ | 14/40 [00:13<00:22, 1.13it/s] 38%|███▊ | 15/40 [00:14<00:22, 1.13it/s] 40%|████ | 16/40 [00:15<00:21, 1.13it/s] 42%|████▎ | 17/40 [00:16<00:20, 1.13it/s] 45%|████▌ | 18/40 [00:17<00:19, 1.13it/s] 48%|████▊ | 19/40 [00:18<00:18, 1.13it/s] 50%|█████ | 20/40 [00:19<00:17, 1.13it/s] 52%|█████▎ | 21/40 [00:19<00:16, 1.13it/s] 55%|█████▌ | 22/40 [00:20<00:15, 1.13it/s] 57%|█████▊ | 23/40 [00:21<00:15, 1.13it/s] 60%|██████ | 24/40 [00:22<00:14, 1.12it/s] 62%|██████▎ | 25/40 [00:23<00:13, 1.12it/s] 65%|██████▌ | 26/40 [00:24<00:12, 1.12it/s] 68%|██████▊ | 27/40 [00:25<00:11, 1.12it/s] 70%|███████ | 28/40 [00:26<00:10, 1.12it/s] 72%|███████▎ | 29/40 [00:27<00:09, 1.11it/s] 75%|███████▌ | 30/40 [00:27<00:08, 1.11it/s] 78%|███████▊ | 31/40 [00:28<00:08, 1.11it/s] 80%|████████ | 32/40 [00:29<00:07, 1.11it/s] 82%|████████▎ | 33/40 [00:30<00:06, 1.11it/s] 85%|████████▌ | 34/40 [00:31<00:05, 1.11it/s] 88%|████████▊ | 35/40 [00:32<00:04, 1.11it/s] 90%|█████████ | 36/40 [00:33<00:03, 1.11it/s] 92%|█████████▎| 37/40 [00:34<00:02, 1.10it/s] 95%|█████████▌| 38/40 [00:35<00:01, 1.10it/s] 98%|█████████▊| 39/40 [00:36<00:00, 1.10it/s] 100%|██████████| 40/40 [00:37<00:00, 1.11it/s] 100%|██████████| 40/40 [00:37<00:00, 1.08it/s] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 166.8ms Speed: 2.7ms preprocess, 166.8ms inference, 31.2ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.33it/s] 11%|█ | 2/19 [00:01<00:11, 1.51it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.58it/s] 21%|██ | 4/19 [00:02<00:09, 1.61it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.64it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.66it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.67it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.67it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.67it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.67it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.67it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.67it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.67it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.67it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.66it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.67it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.68it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 104.2ms Speed: 2.6ms preprocess, 104.2ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 1 face, 7.8ms Speed: 2.2ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.66it/s] 11%|█ | 2/19 [00:01<00:10, 1.65it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.64it/s] 21%|██ | 4/19 [00:02<00:09, 1.65it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.65it/s] 32%|███▏ | 6/19 [00:03<00:09, 1.41it/s] 37%|███▋ | 7/19 [00:04<00:09, 1.28it/s] 42%|████▏ | 8/19 [00:05<00:09, 1.20it/s] 47%|████▋ | 9/19 [00:06<00:08, 1.15it/s] 53%|█████▎ | 10/19 [00:07<00:08, 1.09it/s] 58%|█████▊ | 11/19 [00:08<00:07, 1.07it/s] 63%|██████▎ | 12/19 [00:09<00:06, 1.05it/s] 68%|██████▊ | 13/19 [00:10<00:05, 1.07it/s] 74%|███████▎ | 14/19 [00:11<00:04, 1.20it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.30it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.39it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.45it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.50it/s] 100%|██████████| 19/19 [00:14<00:00, 1.55it/s] 100%|██████████| 19/19 [00:14<00:00, 1.33it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 1 face, 8.5ms Speed: 2.3ms preprocess, 8.5ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.60it/s] 11%|█ | 2/19 [00:01<00:10, 1.64it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.63it/s] 21%|██ | 4/19 [00:02<00:09, 1.64it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.66it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.65it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.65it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.65it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.67it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.67it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.66it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.65it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.65it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.66it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.64it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.64it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.64it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.64it/s] 100%|██████████| 19/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.