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Spacesuits with Pop Art
pop-art:v2.5
evevalentine2017
evevalentine2017
·
12/16/2023
379
Input
prompt
Specify things to see in the output
beautiful and detailed illustration, pop art, masterpiece, best quality, ultra-detailed, soft lighting, cinematic shot, vibrant colors, gorgeous colors, lora:stylesqueeze_v3:0.5, 1 girl, adult (elven:0.7) woman, freckles, black eyes, auburn razor cut hair, ombre, portrait, solo, from front, front view, (full body:0.6), looking away, detailed background, detailed face, futuristic trooper, shock trooper, wearing light armor, energy-veins, scars, head-up display, grenades, emblem, smirk, bionic eye, taking cover, bioenhancements, battlefield in background, hazy mist, bokeh, intense atmosphere, <lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
FastNegativeV2, (bad-artist:1), (worst quality, low quality:1.4), (bad_prompt_version2:0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), bad-artist-anime, badhandv4, ng_deepnegative_v1_75t, BadDream, (three hands:1.6), (three legs:1.2), (more than two hands:1.4), (more than two legs,:1.2), label, nipples, vagina
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
true
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
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
681925466
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
28
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
stylesqueeze_v3.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>
more_details.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BadDream.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/7c22da731f9f4d19890386e2b154ff89/00000-681925466.webp
https://files.tungsten.run/uploads/9e4b06085c1346f3ad597df49e66d83f/00001-681925467.webp
https://files.tungsten.run/uploads/3e0280af05d74e99a889d850dd77a9f0/00002-681925468.webp
https://files.tungsten.run/uploads/d318d9a0d57b4cd7ac16613b0bd5c3c6/00003-681925469.webp
Finished in 49.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: beautiful and detailed illustration, pop art, masterpiece, best quality, ultra-detailed, soft lighting, cinematic shot, vibrant colors, gorgeous colors, lora:stylesqueeze_v3:0.5, 1 girl, adult (elven:0.7) woman, freckles, black eyes, auburn razor cut hair, ombre, portrait, solo, from front, front view, (full body:0.6), looking away, detailed background, detailed face, futuristic trooper, shock trooper, wearing light armor, energy-veins, scars, head-up display, grenades, emblem, smirk, bionic eye, taking cover, bioenhancements, battlefield in background, hazy mist, bokeh, intense atmosphere, <lora:more_details:0.8> Full negative prompt: FastNegativeV2, (bad-artist:1), (worst quality, low quality:1.4), (bad_prompt_version2:0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), bad-artist-anime, badhandv4, ng_deepnegative_v1_75t, BadDream, (three hands:1.6), (three legs:1.2), (more than two hands:1.4), (more than two legs,:1.2), label, nipples, vagina 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.18s/it] 7%|▋ | 2/28 [00:01<00:22, 1.15it/s] 11%|█ | 3/28 [00:02<00:19, 1.30it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.37it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.43it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.46it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.47it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.49it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.50it/s] 36%|███▌ | 10/28 [00:07<00:12, 1.50it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.51it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.51it/s] 46%|████▋ | 13/28 [00:09<00:09, 1.51it/s] 50%|█████ | 14/28 [00:09<00:09, 1.51it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.51it/s] 57%|█████▋ | 16/28 [00:11<00:07, 1.51it/s] 61%|██████ | 17/28 [00:11<00:07, 1.51it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.51it/s] 68%|██████▊ | 19/28 [00:13<00:05, 1.51it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.51it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.51it/s] 79%|███████▊ | 22/28 [00:15<00:03, 1.50it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.50it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.50it/s] 89%|████████▉ | 25/28 [00:17<00:01, 1.50it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.50it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.50it/s] 100%|██████████| 28/28 [00:19<00:00, 1.50it/s] 100%|██████████| 28/28 [00:19<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 32.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.22it/s] 12%|█▎ | 2/16 [00:00<00:03, 4.61it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.30it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.73it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.00it/s] 38%|███▊ | 6/16 [00:01<00:01, 6.09it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.13it/s] 50%|█████ | 8/16 [00:01<00:01, 6.20it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.27it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.34it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.39it/s] 75%|███████▌ | 12/16 [00:02<00:00, 6.38it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.33it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.34it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.37it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] 100%|██████████| 16/16 [00:02<00:00, 6.04it/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: 2.9ms preprocess, 7.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.84it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.61it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.55it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.54it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.51it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.41it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.32it/s] 50%|█████ | 8/16 [00:01<00:01, 6.33it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.37it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.41it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.44it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.34it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.31it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.33it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.34it/s] 100%|██████████| 16/16 [00:02<00:00, 6.38it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.89it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.64it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.57it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.55it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.54it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.41it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.32it/s] 50%|█████ | 8/16 [00:01<00:01, 6.31it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.36it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.39it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.40it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.33it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.32it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.35it/s] 100%|██████████| 16/16 [00:02<00:00, 6.37it/s] 100%|██████████| 16/16 [00:02<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.79it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.63it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.58it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.54it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.52it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.44it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.35it/s] 50%|█████ | 8/16 [00:01<00:01, 6.35it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.38it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.40it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.42it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.37it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.31it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.29it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.32it/s] 100%|██████████| 16/16 [00:02<00:00, 6.37it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.6ms Speed: 2.8ms preprocess, 8.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
beautiful and detailed illustration, pop art, masterpiece, best quality, ultra-detailed, soft lighting, cinematic shot, vibrant colors, gorgeous colors, lora:stylesqueeze_v3:0.5, 1 girl, adult (elven:0.7) woman, freckles, black eyes, auburn razor cut hair, ombre, portrait, solo, from front, front view, (full body:0.6), looking away, detailed background, detailed face, futuristic trooper, shock trooper, wearing light armor, energy-veins, scars, head-up display, grenades, emblem, smirk, bionic eye, taking cover, bioenhancements, battlefield in background, hazy mist, bokeh, intense atmosphere, <lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
FastNegativeV2, (bad-artist:1), (worst quality, low quality:1.4), (bad_prompt_version2:0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), bad-artist-anime, badhandv4, ng_deepnegative_v1_75t, BadDream, (three hands:1.6), (three legs:1.2), (more than two hands:1.4), (more than two legs,:1.2), label, nipples, vagina
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
true
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
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
681925466
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
28
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
stylesqueeze_v3.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>
more_details.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BadDream.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/7c22da731f9f4d19890386e2b154ff89/00000-681925466.webp
https://files.tungsten.run/uploads/9e4b06085c1346f3ad597df49e66d83f/00001-681925467.webp
https://files.tungsten.run/uploads/3e0280af05d74e99a889d850dd77a9f0/00002-681925468.webp
https://files.tungsten.run/uploads/d318d9a0d57b4cd7ac16613b0bd5c3c6/00003-681925469.webp
Finished in 49.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: beautiful and detailed illustration, pop art, masterpiece, best quality, ultra-detailed, soft lighting, cinematic shot, vibrant colors, gorgeous colors, lora:stylesqueeze_v3:0.5, 1 girl, adult (elven:0.7) woman, freckles, black eyes, auburn razor cut hair, ombre, portrait, solo, from front, front view, (full body:0.6), looking away, detailed background, detailed face, futuristic trooper, shock trooper, wearing light armor, energy-veins, scars, head-up display, grenades, emblem, smirk, bionic eye, taking cover, bioenhancements, battlefield in background, hazy mist, bokeh, intense atmosphere, <lora:more_details:0.8> Full negative prompt: FastNegativeV2, (bad-artist:1), (worst quality, low quality:1.4), (bad_prompt_version2:0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), bad-artist-anime, badhandv4, ng_deepnegative_v1_75t, BadDream, (three hands:1.6), (three legs:1.2), (more than two hands:1.4), (more than two legs,:1.2), label, nipples, vagina 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.18s/it] 7%|▋ | 2/28 [00:01<00:22, 1.15it/s] 11%|█ | 3/28 [00:02<00:19, 1.30it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.37it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.43it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.46it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.47it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.49it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.50it/s] 36%|███▌ | 10/28 [00:07<00:12, 1.50it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.51it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.51it/s] 46%|████▋ | 13/28 [00:09<00:09, 1.51it/s] 50%|█████ | 14/28 [00:09<00:09, 1.51it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.51it/s] 57%|█████▋ | 16/28 [00:11<00:07, 1.51it/s] 61%|██████ | 17/28 [00:11<00:07, 1.51it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.51it/s] 68%|██████▊ | 19/28 [00:13<00:05, 1.51it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.51it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.51it/s] 79%|███████▊ | 22/28 [00:15<00:03, 1.50it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.50it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.50it/s] 89%|████████▉ | 25/28 [00:17<00:01, 1.50it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.50it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.50it/s] 100%|██████████| 28/28 [00:19<00:00, 1.50it/s] 100%|██████████| 28/28 [00:19<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 32.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.22it/s] 12%|█▎ | 2/16 [00:00<00:03, 4.61it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.30it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.73it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.00it/s] 38%|███▊ | 6/16 [00:01<00:01, 6.09it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.13it/s] 50%|█████ | 8/16 [00:01<00:01, 6.20it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.27it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.34it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.39it/s] 75%|███████▌ | 12/16 [00:02<00:00, 6.38it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.33it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.34it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.37it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] 100%|██████████| 16/16 [00:02<00:00, 6.04it/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: 2.9ms preprocess, 7.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.84it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.61it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.55it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.54it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.51it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.41it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.32it/s] 50%|█████ | 8/16 [00:01<00:01, 6.33it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.37it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.41it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.44it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.34it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.31it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.33it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.34it/s] 100%|██████████| 16/16 [00:02<00:00, 6.38it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.89it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.64it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.57it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.55it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.54it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.41it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.32it/s] 50%|█████ | 8/16 [00:01<00:01, 6.31it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.36it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.39it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.40it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.33it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.32it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.35it/s] 100%|██████████| 16/16 [00:02<00:00, 6.37it/s] 100%|██████████| 16/16 [00:02<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.79it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.63it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.58it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.54it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.52it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.44it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.35it/s] 50%|█████ | 8/16 [00:01<00:01, 6.35it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.38it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.40it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.42it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.37it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.31it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.29it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.32it/s] 100%|██████████| 16/16 [00:02<00:00, 6.37it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.6ms Speed: 2.8ms preprocess, 8.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.