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Villains with Noosphere
noosphere:v3
evevalentine2017
evevalentine2017
·
12/08/2023
345
Input
prompt
Specify things to see in the output
masterpiece, best quality, masterpiece, best quality, Create a striking art piece featuring an edgy male villain, adorned in a dark and stylish ensemble, with sharp features, intense eyes, and a commanding posture, exuding an aura of malevolence and mystery that captivates and intimidates viewers, phenomenal aesthetic, sumptuous artwork
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)), ((text, font, logo, copyright, watermark:1)), 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
0.55
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.
1400568181
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
26
cfg_scale
Scale for classifier-free guidance
6.5
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)
EasyNegativeV2.safetensors
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)
ng_deepnegative_v1_75t.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/7e7e65c0257a4c299db623a5f65db098/00000-1400568181.png
https://files.tungsten.run/uploads/5477b981a44d4c3d824d014472c96b94/00001-1400568182.png
https://files.tungsten.run/uploads/7de0314cfa5b4987bae7cfd9c2664378/00002-1400568183.png
https://files.tungsten.run/uploads/09f234dc6cbd48efb6ab32e729c35ecf/00003-1400568184.png
Finished in 57.9 seconds
v3: Pulling from evevalentine2017/noosphere 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 235071021718: Already exists 558b23ac3ea6: Pull complete de01e328fa6e: Pull complete 33f29efae445: Pull complete Setting up the model... Processing... Full prompt: masterpiece, best quality, masterpiece, best quality, Create a striking art piece featuring an edgy male villain, adorned in a dark and stylish ensemble, with sharp features, intense eyes, and a commanding posture, exuding an aura of malevolence and mystery that captivates and intimidates viewers, phenomenal aesthetic, sumptuous artwork, (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)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:17, 1.47it/s] 8%|▊ | 2/26 [00:01<00:15, 1.56it/s] 12%|█▏ | 3/26 [00:01<00:14, 1.60it/s] 15%|█▌ | 4/26 [00:02<00:13, 1.62it/s] 19%|█▉ | 5/26 [00:03<00:12, 1.63it/s] 23%|██▎ | 6/26 [00:03<00:12, 1.62it/s] 27%|██▋ | 7/26 [00:04<00:11, 1.63it/s] 31%|███ | 8/26 [00:04<00:11, 1.63it/s] 35%|███▍ | 9/26 [00:05<00:10, 1.64it/s] 38%|███▊ | 10/26 [00:06<00:09, 1.63it/s] 42%|████▏ | 11/26 [00:06<00:09, 1.64it/s] 46%|████▌ | 12/26 [00:07<00:08, 1.63it/s] 50%|█████ | 13/26 [00:08<00:07, 1.63it/s] 54%|█████▍ | 14/26 [00:08<00:07, 1.64it/s] 58%|█████▊ | 15/26 [00:09<00:06, 1.63it/s] 62%|██████▏ | 16/26 [00:09<00:06, 1.64it/s] 65%|██████▌ | 17/26 [00:10<00:05, 1.64it/s] 69%|██████▉ | 18/26 [00:11<00:04, 1.64it/s] 73%|███████▎ | 19/26 [00:11<00:04, 1.64it/s] 77%|███████▋ | 20/26 [00:12<00:03, 1.64it/s] 81%|████████ | 21/26 [00:12<00:03, 1.64it/s] 85%|████████▍ | 22/26 [00:13<00:02, 1.64it/s] 88%|████████▊ | 23/26 [00:14<00:01, 1.64it/s] 92%|█████████▏| 24/26 [00:14<00:01, 1.64it/s] 96%|█████████▌| 25/26 [00:15<00:00, 1.64it/s] 100%|██████████| 26/26 [00:15<00:00, 1.64it/s] 100%|██████████| 26/26 [00:15<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.7ms Speed: 5.9ms preprocess, 9.7ms inference, 39.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:05, 2.39it/s] 13%|█▎ | 2/15 [00:00<00:03, 3.44it/s] 20%|██ | 3/15 [00:00<00:03, 3.98it/s] 27%|██▋ | 4/15 [00:01<00:02, 4.24it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.46it/s] 40%|████ | 6/15 [00:01<00:01, 4.64it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.75it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.83it/s] 60%|██████ | 9/15 [00:02<00:01, 4.89it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.92it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.95it/s] 80%|████████ | 12/15 [00:02<00:00, 4.95it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.97it/s] 93%|█████████▎| 14/15 [00:03<00:00, 4.98it/s] 100%|██████████| 15/15 [00:03<00:00, 5.00it/s] 100%|██████████| 15/15 [00:03<00:00, 4.63it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.89it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.87it/s] 20%|██ | 3/15 [00:00<00:02, 4.89it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.91it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.93it/s] 40%|████ | 6/15 [00:01<00:01, 4.96it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.97it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.93it/s] 60%|██████ | 9/15 [00:01<00:01, 4.94it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.96it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.90it/s] 80%|████████ | 12/15 [00:02<00:00, 4.90it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.88it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.87it/s] 100%|██████████| 15/15 [00:03<00:00, 4.87it/s] 100%|██████████| 15/15 [00:03<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.96it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.96it/s] 20%|██ | 3/15 [00:00<00:02, 4.96it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.98it/s] 33%|███▎ | 5/15 [00:01<00:02, 5.00it/s] 40%|████ | 6/15 [00:01<00:01, 4.99it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.91it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.91it/s] 60%|██████ | 9/15 [00:01<00:01, 4.93it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.93it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.93it/s] 80%|████████ | 12/15 [00:02<00:00, 4.91it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.90it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.89it/s] 100%|██████████| 15/15 [00:03<00:00, 4.90it/s] 100%|██████████| 15/15 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.80it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.77it/s] 20%|██ | 3/15 [00:00<00:02, 4.78it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.80it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.82it/s] 40%|████ | 6/15 [00:01<00:01, 4.88it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.90it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.91it/s] 60%|██████ | 9/15 [00:01<00:01, 4.94it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.96it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.97it/s] 80%|████████ | 12/15 [00:02<00:00, 4.97it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.96it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.95it/s] 100%|██████████| 15/15 [00:03<00:00, 4.96it/s] 100%|██████████| 15/15 [00:03<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.94it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.92it/s] 20%|██ | 3/15 [00:00<00:02, 4.97it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.97it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.98it/s] 40%|████ | 6/15 [00:01<00:01, 4.97it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.97it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.97it/s] 60%|██████ | 9/15 [00:01<00:01, 4.96it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.94it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.96it/s] 80%|████████ | 12/15 [00:02<00:00, 4.93it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.96it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.97it/s] 100%|██████████| 15/15 [00:03<00:00, 4.97it/s] 100%|██████████| 15/15 [00:03<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 3.0ms preprocess, 8.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.88it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.79it/s] 20%|██ | 3/15 [00:00<00:02, 4.86it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.90it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.89it/s] 40%|████ | 6/15 [00:01<00:01, 4.77it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.75it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.78it/s] 60%|██████ | 9/15 [00:01<00:01, 4.81it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.79it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.83it/s] 80%|████████ | 12/15 [00:02<00:00, 4.86it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.83it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.82it/s] 100%|██████████| 15/15 [00:03<00:00, 4.79it/s] 100%|██████████| 15/15 [00:03<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.98it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.98it/s] 20%|██ | 3/15 [00:00<00:02, 4.95it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.95it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.92it/s] 40%|████ | 6/15 [00:01<00:01, 4.93it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.92it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.90it/s] 60%|██████ | 9/15 [00:01<00:01, 4.93it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.91it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.89it/s] 80%|████████ | 12/15 [00:02<00:00, 4.88it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.87it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.88it/s] 100%|██████████| 15/15 [00:03<00:00, 4.84it/s] 100%|██████████| 15/15 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.5ms Speed: 2.8ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.85it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.85it/s] 20%|██ | 3/15 [00:00<00:02, 4.87it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.88it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.88it/s] 40%|████ | 6/15 [00:01<00:01, 4.91it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.92it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.92it/s] 60%|██████ | 9/15 [00:01<00:01, 4.91it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.88it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.89it/s] 80%|████████ | 12/15 [00:02<00:00, 4.90it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.84it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.83it/s] 100%|██████████| 15/15 [00:03<00:00, 4.82it/s] 100%|██████████| 15/15 [00:03<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.9ms Speed: 3.0ms preprocess, 7.9ms inference, 0.8ms 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
masterpiece, best quality, masterpiece, best quality, Create a striking art piece featuring an edgy male villain, adorned in a dark and stylish ensemble, with sharp features, intense eyes, and a commanding posture, exuding an aura of malevolence and mystery that captivates and intimidates viewers, phenomenal aesthetic, sumptuous artwork
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)), ((text, font, logo, copyright, watermark:1)), 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
0.55
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.
1400568181
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
26
cfg_scale
Scale for classifier-free guidance
6.5
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)
EasyNegativeV2.safetensors
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)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/7e7e65c0257a4c299db623a5f65db098/00000-1400568181.png
https://files.tungsten.run/uploads/5477b981a44d4c3d824d014472c96b94/00001-1400568182.png
https://files.tungsten.run/uploads/7de0314cfa5b4987bae7cfd9c2664378/00002-1400568183.png
https://files.tungsten.run/uploads/09f234dc6cbd48efb6ab32e729c35ecf/00003-1400568184.png
Finished in 57.9 seconds
v3: Pulling from evevalentine2017/noosphere 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 235071021718: Already exists 558b23ac3ea6: Pull complete de01e328fa6e: Pull complete 33f29efae445: Pull complete Setting up the model... Processing... Full prompt: masterpiece, best quality, masterpiece, best quality, Create a striking art piece featuring an edgy male villain, adorned in a dark and stylish ensemble, with sharp features, intense eyes, and a commanding posture, exuding an aura of malevolence and mystery that captivates and intimidates viewers, phenomenal aesthetic, sumptuous artwork, (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)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:17, 1.47it/s] 8%|▊ | 2/26 [00:01<00:15, 1.56it/s] 12%|█▏ | 3/26 [00:01<00:14, 1.60it/s] 15%|█▌ | 4/26 [00:02<00:13, 1.62it/s] 19%|█▉ | 5/26 [00:03<00:12, 1.63it/s] 23%|██▎ | 6/26 [00:03<00:12, 1.62it/s] 27%|██▋ | 7/26 [00:04<00:11, 1.63it/s] 31%|███ | 8/26 [00:04<00:11, 1.63it/s] 35%|███▍ | 9/26 [00:05<00:10, 1.64it/s] 38%|███▊ | 10/26 [00:06<00:09, 1.63it/s] 42%|████▏ | 11/26 [00:06<00:09, 1.64it/s] 46%|████▌ | 12/26 [00:07<00:08, 1.63it/s] 50%|█████ | 13/26 [00:08<00:07, 1.63it/s] 54%|█████▍ | 14/26 [00:08<00:07, 1.64it/s] 58%|█████▊ | 15/26 [00:09<00:06, 1.63it/s] 62%|██████▏ | 16/26 [00:09<00:06, 1.64it/s] 65%|██████▌ | 17/26 [00:10<00:05, 1.64it/s] 69%|██████▉ | 18/26 [00:11<00:04, 1.64it/s] 73%|███████▎ | 19/26 [00:11<00:04, 1.64it/s] 77%|███████▋ | 20/26 [00:12<00:03, 1.64it/s] 81%|████████ | 21/26 [00:12<00:03, 1.64it/s] 85%|████████▍ | 22/26 [00:13<00:02, 1.64it/s] 88%|████████▊ | 23/26 [00:14<00:01, 1.64it/s] 92%|█████████▏| 24/26 [00:14<00:01, 1.64it/s] 96%|█████████▌| 25/26 [00:15<00:00, 1.64it/s] 100%|██████████| 26/26 [00:15<00:00, 1.64it/s] 100%|██████████| 26/26 [00:15<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.7ms Speed: 5.9ms preprocess, 9.7ms inference, 39.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:05, 2.39it/s] 13%|█▎ | 2/15 [00:00<00:03, 3.44it/s] 20%|██ | 3/15 [00:00<00:03, 3.98it/s] 27%|██▋ | 4/15 [00:01<00:02, 4.24it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.46it/s] 40%|████ | 6/15 [00:01<00:01, 4.64it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.75it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.83it/s] 60%|██████ | 9/15 [00:02<00:01, 4.89it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.92it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.95it/s] 80%|████████ | 12/15 [00:02<00:00, 4.95it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.97it/s] 93%|█████████▎| 14/15 [00:03<00:00, 4.98it/s] 100%|██████████| 15/15 [00:03<00:00, 5.00it/s] 100%|██████████| 15/15 [00:03<00:00, 4.63it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.89it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.87it/s] 20%|██ | 3/15 [00:00<00:02, 4.89it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.91it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.93it/s] 40%|████ | 6/15 [00:01<00:01, 4.96it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.97it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.93it/s] 60%|██████ | 9/15 [00:01<00:01, 4.94it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.96it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.90it/s] 80%|████████ | 12/15 [00:02<00:00, 4.90it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.88it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.87it/s] 100%|██████████| 15/15 [00:03<00:00, 4.87it/s] 100%|██████████| 15/15 [00:03<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.96it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.96it/s] 20%|██ | 3/15 [00:00<00:02, 4.96it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.98it/s] 33%|███▎ | 5/15 [00:01<00:02, 5.00it/s] 40%|████ | 6/15 [00:01<00:01, 4.99it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.91it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.91it/s] 60%|██████ | 9/15 [00:01<00:01, 4.93it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.93it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.93it/s] 80%|████████ | 12/15 [00:02<00:00, 4.91it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.90it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.89it/s] 100%|██████████| 15/15 [00:03<00:00, 4.90it/s] 100%|██████████| 15/15 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.80it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.77it/s] 20%|██ | 3/15 [00:00<00:02, 4.78it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.80it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.82it/s] 40%|████ | 6/15 [00:01<00:01, 4.88it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.90it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.91it/s] 60%|██████ | 9/15 [00:01<00:01, 4.94it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.96it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.97it/s] 80%|████████ | 12/15 [00:02<00:00, 4.97it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.96it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.95it/s] 100%|██████████| 15/15 [00:03<00:00, 4.96it/s] 100%|██████████| 15/15 [00:03<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.94it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.92it/s] 20%|██ | 3/15 [00:00<00:02, 4.97it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.97it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.98it/s] 40%|████ | 6/15 [00:01<00:01, 4.97it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.97it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.97it/s] 60%|██████ | 9/15 [00:01<00:01, 4.96it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.94it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.96it/s] 80%|████████ | 12/15 [00:02<00:00, 4.93it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.96it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.97it/s] 100%|██████████| 15/15 [00:03<00:00, 4.97it/s] 100%|██████████| 15/15 [00:03<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 3.0ms preprocess, 8.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.88it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.79it/s] 20%|██ | 3/15 [00:00<00:02, 4.86it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.90it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.89it/s] 40%|████ | 6/15 [00:01<00:01, 4.77it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.75it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.78it/s] 60%|██████ | 9/15 [00:01<00:01, 4.81it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.79it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.83it/s] 80%|████████ | 12/15 [00:02<00:00, 4.86it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.83it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.82it/s] 100%|██████████| 15/15 [00:03<00:00, 4.79it/s] 100%|██████████| 15/15 [00:03<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.98it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.98it/s] 20%|██ | 3/15 [00:00<00:02, 4.95it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.95it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.92it/s] 40%|████ | 6/15 [00:01<00:01, 4.93it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.92it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.90it/s] 60%|██████ | 9/15 [00:01<00:01, 4.93it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.91it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.89it/s] 80%|████████ | 12/15 [00:02<00:00, 4.88it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.87it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.88it/s] 100%|██████████| 15/15 [00:03<00:00, 4.84it/s] 100%|██████████| 15/15 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.5ms Speed: 2.8ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.85it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.85it/s] 20%|██ | 3/15 [00:00<00:02, 4.87it/s] 27%|██▋ | 4/15 [00:00<00:02, 4.88it/s] 33%|███▎ | 5/15 [00:01<00:02, 4.88it/s] 40%|████ | 6/15 [00:01<00:01, 4.91it/s] 47%|████▋ | 7/15 [00:01<00:01, 4.92it/s] 53%|█████▎ | 8/15 [00:01<00:01, 4.92it/s] 60%|██████ | 9/15 [00:01<00:01, 4.91it/s] 67%|██████▋ | 10/15 [00:02<00:01, 4.88it/s] 73%|███████▎ | 11/15 [00:02<00:00, 4.89it/s] 80%|████████ | 12/15 [00:02<00:00, 4.90it/s] 87%|████████▋ | 13/15 [00:02<00:00, 4.84it/s] 93%|█████████▎| 14/15 [00:02<00:00, 4.83it/s] 100%|██████████| 15/15 [00:03<00:00, 4.82it/s] 100%|██████████| 15/15 [00:03<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.9ms Speed: 3.0ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.