Girls in the Snow with Noosphere
Input
prompt
Specify things to see in the output
(masterpiece:1.4), (intricate:1.2), (detailed:1.2), (vibrant colors:1.2), (fantasy:1.2), (blue and white:1.3), (dynamic pose:1.2), (from below:1.0), (elven priestess:1.4), (solo:1.4), (beautiful:1.2), (dainty:1.2), (white robe:1.2), (long white hair:1.2), (dancing:1.3), (smiling:1.2), (windy:1.2), (barefoot:1.0), (glowing blue eyes:1.2), (outside:1.2), (starry night:1.2), (enchanted forest:1.2), (snow:1.4), (ice:1.2), (blue glowing butterflies:1.2), <lora:绪儿- 夜蝶cinematic sets:0.8>
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
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
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
869288612
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
7.5
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>
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.
false
Output
https://files.tungsten.run/uploads/b283313d42594639baa5cd1210f3033f/00000-869288612.png
https://files.tungsten.run/uploads/e25caa3cedd84acd91650df1261ab3b0/00001-869288613.png
https://files.tungsten.run/uploads/de184e139f004c39a78a97fe6f60ed29/00002-869288614.png
https://files.tungsten.run/uploads/8ec4b6ef234d4607b509e6ead54feac4/00003-869288615.png
Finished in 56.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (masterpiece:1.4), (intricate:1.2), (detailed:1.2), (vibrant colors:1.2), (fantasy:1.2), (blue and white:1.3), (dynamic pose:1.2), (from below:1.0), (elven priestess:1.4), (solo:1.4), (beautiful:1.2), (dainty:1.2), (white robe:1.2), (long white hair:1.2), (dancing:1.3), (smiling:1.2), (windy:1.2), (barefoot:1.0), (glowing blue eyes:1.2), (outside:1.2), (starry night:1.2), (enchanted forest:1.2), (snow:1.4), (ice:1.2), (blue glowing butterflies:1.2), <lora:绪儿- 夜蝶cinematic sets:0.8>, (best quality:1.5), (masterpiece:1.5) Full negative prompt: (worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:32, 1.20s/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, 1.38it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.44it/s] 21%|██▏ | 6/28 [00:04<00:14, 1.47it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.49it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.51it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.52it/s] 36%|███▌ | 10/28 [00:07<00:11, 1.53it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.53it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.53it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.53it/s] 50%|█████ | 14/28 [00:09<00:09, 1.54it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.54it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.54it/s] 61%|██████ | 17/28 [00:11<00:07, 1.54it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.54it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.54it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.54it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.54it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.54it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.54it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.54it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.54it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.54it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.54it/s] 100%|██████████| 28/28 [00:18<00:00, 1.54it/s] 100%|██████████| 28/28 [00:18<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 31.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:03, 3.35it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.75it/s] 23%|██▎ | 3/13 [00:00<00:01, 5.48it/s] 31%|███ | 4/13 [00:00<00:01, 5.91it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.18it/s] 46%|████▌ | 6/13 [00:01<00:01, 6.31it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.36it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.37it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.44it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.49it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.53it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.55it/s] 100%|██████████| 13/13 [00:02<00:00, 6.54it/s] 100%|██████████| 13/13 [00:02<00:00, 6.14it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 9.1ms Speed: 2.8ms preprocess, 9.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.05it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.82it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.75it/s] 31%|███ | 4/13 [00:00<00:01, 6.72it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.69it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.64it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.56it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.59it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.60it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.62it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.62it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.62it/s] 100%|██████████| 13/13 [00:01<00:00, 6.57it/s] 100%|██████████| 13/13 [00:01<00:00, 6.64it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 6.89it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.75it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.73it/s] 31%|███ | 4/13 [00:00<00:01, 6.72it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.63it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.56it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.58it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.62it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.62it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.65it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.64it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.59it/s] 100%|██████████| 13/13 [00:01<00:00, 6.58it/s] 100%|██████████| 13/13 [00:01<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.06it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.85it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.78it/s] 31%|███ | 4/13 [00:00<00:01, 6.74it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.73it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.68it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.59it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.55it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.58it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.61it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.62it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.62it/s] 100%|██████████| 13/13 [00:01<00:00, 6.59it/s] 100%|██████████| 13/13 [00:01<00:00, 6.64it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.10it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.83it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.76it/s] 31%|███ | 4/13 [00:00<00:01, 6.71it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.69it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.64it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.57it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.60it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.60it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.61it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.63it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.65it/s] 100%|██████████| 13/13 [00:01<00:00, 6.61it/s] 100%|██████████| 13/13 [00:01<00:00, 6.65it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.06it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.82it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.73it/s] 31%|███ | 4/13 [00:00<00:01, 6.69it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.68it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.60it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.52it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.50it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.54it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.57it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.59it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.58it/s] 100%|██████████| 13/13 [00:01<00:00, 6.54it/s] 100%|██████████| 13/13 [00:01<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.00it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.81it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.75it/s] 31%|███ | 4/13 [00:00<00:01, 6.72it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.70it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.64it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.57it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.52it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.56it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.60it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.62it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.60it/s] 100%|██████████| 13/13 [00:01<00:00, 6.54it/s] 100%|██████████| 13/13 [00:01<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.4ms Speed: 2.7ms preprocess, 8.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.00it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.76it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.70it/s] 31%|███ | 4/13 [00:00<00:01, 6.68it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.68it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.63it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.56it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.56it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.59it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.61it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.63it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.64it/s] 100%|██████████| 13/13 [00:01<00:00, 6.61it/s] 100%|██████████| 13/13 [00:01<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.23s 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 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece:1.4), (intricate:1.2), (detailed:1.2), (vibrant colors:1.2), (fantasy:1.2), (blue and white:1.3), (dynamic pose:1.2), (from below:1.0), (elven priestess:1.4), (solo:1.4), (beautiful:1.2), (dainty:1.2), (white robe:1.2), (long white hair:1.2), (dancing:1.3), (smiling:1.2), (windy:1.2), (barefoot:1.0), (glowing blue eyes:1.2), (outside:1.2), (starry night:1.2), (enchanted forest:1.2), (snow:1.4), (ice:1.2), (blue glowing butterflies:1.2), <lora:绪儿- 夜蝶cinematic sets:0.8>
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
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
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
869288612
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
7.5
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>
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.
false
https://files.tungsten.run/uploads/b283313d42594639baa5cd1210f3033f/00000-869288612.png
https://files.tungsten.run/uploads/e25caa3cedd84acd91650df1261ab3b0/00001-869288613.png
https://files.tungsten.run/uploads/de184e139f004c39a78a97fe6f60ed29/00002-869288614.png
https://files.tungsten.run/uploads/8ec4b6ef234d4607b509e6ead54feac4/00003-869288615.png
Finished in 56.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (masterpiece:1.4), (intricate:1.2), (detailed:1.2), (vibrant colors:1.2), (fantasy:1.2), (blue and white:1.3), (dynamic pose:1.2), (from below:1.0), (elven priestess:1.4), (solo:1.4), (beautiful:1.2), (dainty:1.2), (white robe:1.2), (long white hair:1.2), (dancing:1.3), (smiling:1.2), (windy:1.2), (barefoot:1.0), (glowing blue eyes:1.2), (outside:1.2), (starry night:1.2), (enchanted forest:1.2), (snow:1.4), (ice:1.2), (blue glowing butterflies:1.2), <lora:绪儿- 夜蝶cinematic sets:0.8>, (best quality:1.5), (masterpiece:1.5) Full negative prompt: (worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:32, 1.20s/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, 1.38it/s] 18%|█▊ | 5/28 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[00:18<00:00, 1.54it/s] 100%|██████████| 28/28 [00:18<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 31.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:03, 3.35it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.75it/s] 23%|██▎ | 3/13 [00:00<00:01, 5.48it/s] 31%|███ | 4/13 [00:00<00:01, 5.91it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.18it/s] 46%|████▌ | 6/13 [00:01<00:01, 6.31it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.36it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.37it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.44it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.49it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.53it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.55it/s] 100%|██████████| 13/13 [00:02<00:00, 6.54it/s] 100%|██████████| 13/13 [00:02<00:00, 6.14it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 9.1ms Speed: 2.8ms preprocess, 9.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.05it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.82it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.75it/s] 31%|███ | 4/13 [00:00<00:01, 6.72it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.69it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.64it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.56it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.59it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.60it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.62it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.62it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.62it/s] 100%|██████████| 13/13 [00:01<00:00, 6.57it/s] 100%|██████████| 13/13 [00:01<00:00, 6.64it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 6.89it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.75it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.73it/s] 31%|███ | 4/13 [00:00<00:01, 6.72it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.63it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.56it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.58it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.62it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.62it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.65it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.64it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.59it/s] 100%|██████████| 13/13 [00:01<00:00, 6.58it/s] 100%|██████████| 13/13 [00:01<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.06it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.85it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.78it/s] 31%|███ | 4/13 [00:00<00:01, 6.74it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.73it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.68it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.59it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.55it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.58it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.61it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.62it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.62it/s] 100%|██████████| 13/13 [00:01<00:00, 6.59it/s] 100%|██████████| 13/13 [00:01<00:00, 6.64it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.10it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.83it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.76it/s] 31%|███ | 4/13 [00:00<00:01, 6.71it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.69it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.64it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.57it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.60it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.60it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.61it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.63it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.65it/s] 100%|██████████| 13/13 [00:01<00:00, 6.61it/s] 100%|██████████| 13/13 [00:01<00:00, 6.65it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.06it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.82it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.73it/s] 31%|███ | 4/13 [00:00<00:01, 6.69it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.68it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.60it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.52it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.50it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.54it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.57it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.59it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.58it/s] 100%|██████████| 13/13 [00:01<00:00, 6.54it/s] 100%|██████████| 13/13 [00:01<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.00it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.81it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.75it/s] 31%|███ | 4/13 [00:00<00:01, 6.72it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.70it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.64it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.57it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.52it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.56it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.60it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.62it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.60it/s] 100%|██████████| 13/13 [00:01<00:00, 6.54it/s] 100%|██████████| 13/13 [00:01<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.4ms Speed: 2.7ms preprocess, 8.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 7.00it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.76it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.70it/s] 31%|███ | 4/13 [00:00<00:01, 6.68it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.68it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.63it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.56it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.56it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.59it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.61it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.63it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.64it/s] 100%|██████████| 13/13 [00:01<00:00, 6.61it/s] 100%|██████████| 13/13 [00:01<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.23s 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 4 with 2nd settings. Uploading outputs... Finished.