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Sci-fi Suits with RealVision XL
realvision-xl:v3.0
evevalentine2017
evevalentine2017
·
Jan 23
366
Input
prompt
Specify things to see in the output
a strong 28-year-old senegalese powerlifter bodybuilder male , with short military haircut, glazed face, mindless expression, wearing a robotic suit, wearing a skin tight black latex robotic suit with gray latex details, standing at attention posture, on a modern futuristic street, looking to the camera, detailed face, Cinematic, Photoshoot, Shot on 25mm lens, Depth of Field, Tilt Blur, Shutter Speed 1/1000, F/22, White Balance, 32k, Super-Resolution, Pro Photo RGB, Half rear Lighting, Backlight, Dramatic Lighting, Incandescent, Soft Lighting, Volumetric, Conte-Jour, Global Illumination, Screen Space Global Illumination, Scattering, Shadows, Rough, Shimmering, Lumen Reflections, Screen Space Reflections, Diffraction Grading, Chromatic Aberration, GB Displacement, Scan Lines, Ambient Occlusion, Anti-Aliasing, FKAA, TXAA, RTX, SSAO, OpenGL-Shader, Post Processing, Post-Production, Cell Shading, Tone Mapping, CGI, VFX, SFX, insanely detailed and intricate, hyper maximalist, elegant, dynamic pose, photography, volumetric, ultra-detailed, intricate details, super detailed, ambient
negative_prompt
Specify things to not see in the output
worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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.
868093862
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++ SDE Karras
samping_steps
Number of denoising steps
31
cfg_scale
Scale for classifier-free guidance
7
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/60ed0843a3a943f39b65b25aa1f8f097/00000-868093862.webp
https://files.tungsten.run/uploads/50683856fe6243f9bdfb043621f8057e/00001-868093863.webp
https://files.tungsten.run/uploads/39350c0573134c40a0d33d72680883e7/00002-868093864.webp
Finished in 299.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: a strong 28-year-old senegalese powerlifter bodybuilder male , with short military haircut, glazed face, mindless expression, wearing a robotic suit, wearing a skin tight black latex robotic suit with gray latex details, standing at attention posture, on a modern futuristic street, looking to the camera, detailed face, Cinematic, Photoshoot, Shot on 25mm lens, Depth of Field, Tilt Blur, Shutter Speed 1/1000, F/22, White Balance, 32k, Super-Resolution, Pro Photo RGB, Half rear Lighting, Backlight, Dramatic Lighting, Incandescent, Soft Lighting, Volumetric, Conte-Jour, Global Illumination, Screen Space Global Illumination, Scattering, Shadows, Rough, Shimmering, Lumen Reflections, Screen Space Reflections, Diffraction Grading, Chromatic Aberration, GB Displacement, Scan Lines, Ambient Occlusion, Anti-Aliasing, FKAA, TXAA, RTX, SSAO, OpenGL-Shader, Post Processing, Post-Production, Cell Shading, Tone Mapping, CGI, VFX, SFX, insanely detailed and intricate, hyper maximalist, elegant, dynamic pose, photography, volumetric, ultra-detailed, intricate details, super detailed, ambient Full negative prompt: worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:04<02:00, 4.02s/it] 6%|▋ | 2/31 [00:09<02:16, 4.71s/it] 10%|▉ | 3/31 [00:14<02:21, 5.07s/it] 13%|█▎ | 4/31 [00:20<02:20, 5.20s/it] 16%|█▌ | 5/31 [00:25<02:14, 5.19s/it] 19%|█▉ | 6/31 [00:30<02:11, 5.27s/it] 23%|██▎ | 7/31 [00:36<02:07, 5.29s/it] 26%|██▌ | 8/31 [00:41<02:02, 5.31s/it] 29%|██▉ | 9/31 [00:46<01:56, 5.28s/it] 32%|███▏ | 10/31 [00:52<01:55, 5.48s/it] 35%|███▌ | 11/31 [00:57<01:47, 5.38s/it] 39%|███▊ | 12/31 [01:03<01:42, 5.37s/it] 42%|████▏ | 13/31 [01:08<01:35, 5.31s/it] 45%|████▌ | 14/31 [01:13<01:30, 5.32s/it] 48%|████▊ | 15/31 [01:18<01:23, 5.19s/it] 52%|█████▏ | 16/31 [01:23<01:17, 5.16s/it] 55%|█████▍ | 17/31 [01:28<01:12, 5.16s/it] 58%|█████▊ | 18/31 [01:32<01:03, 4.86s/it] 61%|██████▏ | 19/31 [01:37<00:58, 4.84s/it] 65%|██████▍ | 20/31 [01:42<00:53, 4.90s/it] 68%|██████▊ | 21/31 [01:47<00:49, 4.91s/it] 71%|███████ | 22/31 [01:52<00:44, 4.91s/it] 74%|███████▍ | 23/31 [01:58<00:41, 5.21s/it] 77%|███████▋ | 24/31 [02:02<00:34, 4.95s/it] 81%|████████ | 25/31 [02:07<00:30, 5.02s/it] 84%|████████▍ | 26/31 [02:11<00:23, 4.67s/it] 87%|████████▋ | 27/31 [02:15<00:17, 4.46s/it] 90%|█████████ | 28/31 [02:19<00:13, 4.36s/it] 94%|█████████▎| 29/31 [02:24<00:08, 4.45s/it] 97%|█████████▋| 30/31 [02:27<00:04, 4.10s/it] 100%|██████████| 31/31 [02:29<00:00, 3.24s/it] 100%|██████████| 31/31 [02:29<00:00, 4.81s/it] Decoding latents in cuda:0... done in 2.34s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 20.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:02<00:26, 2.06s/it] 14%|█▍ | 2/14 [00:04<00:24, 2.01s/it] 21%|██▏ | 3/14 [00:06<00:22, 2.07s/it] 29%|██▊ | 4/14 [00:08<00:21, 2.16s/it] 36%|███▌ | 5/14 [00:10<00:19, 2.16s/it] 43%|████▎ | 6/14 [00:12<00:17, 2.15s/it] 50%|█████ | 7/14 [00:14<00:14, 2.01s/it] 57%|█████▋ | 8/14 [00:16<00:12, 2.01s/it] 64%|██████▍ | 9/14 [00:18<00:09, 1.91s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.85s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.82s/it] 86%|████████▌ | 12/14 [00:23<00:03, 1.87s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.76s/it] 100%|██████████| 14/14 [00:25<00:00, 1.42s/it] 100%|██████████| 14/14 [00:25<00:00, 1.84s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 12.9ms Speed: 4.6ms preprocess, 12.9ms inference, 1.3ms 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: 3.0ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:24, 1.86s/it] 14%|█▍ | 2/14 [00:03<00:24, 2.02s/it] 21%|██▏ | 3/14 [00:06<00:22, 2.05s/it] 29%|██▊ | 4/14 [00:08<00:20, 2.05s/it] 36%|███▌ | 5/14 [00:10<00:18, 2.07s/it] 43%|████▎ | 6/14 [00:12<00:16, 2.09s/it] 50%|█████ | 7/14 [00:14<00:13, 1.96s/it] 57%|█████▋ | 8/14 [00:16<00:12, 2.01s/it] 64%|██████▍ | 9/14 [00:17<00:09, 1.91s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.87s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.91s/it] 86%|████████▌ | 12/14 [00:23<00:03, 1.97s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.87s/it] 100%|██████████| 14/14 [00:26<00:00, 1.51s/it] 100%|██████████| 14/14 [00:26<00:00, 1.86s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.6ms preprocess, 7.5ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:24, 1.89s/it] 14%|█▍ | 2/14 [00:03<00:23, 1.97s/it] 21%|██▏ | 3/14 [00:05<00:22, 2.01s/it] 29%|██▊ | 4/14 [00:08<00:20, 2.05s/it] 36%|███▌ | 5/14 [00:10<00:18, 2.11s/it] 43%|████▎ | 6/14 [00:12<00:17, 2.14s/it] 50%|█████ | 7/14 [00:14<00:14, 2.03s/it] 57%|█████▋ | 8/14 [00:16<00:12, 2.02s/it] 64%|██████▍ | 9/14 [00:18<00:09, 1.92s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.87s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.84s/it] 86%|████████▌ | 12/14 [00:23<00:03, 1.88s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.77s/it] 100%|██████████| 14/14 [00:25<00:00, 1.42s/it] 100%|██████████| 14/14 [00:25<00:00, 1.83s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:23, 1.81s/it] 14%|█▍ | 2/14 [00:03<00:22, 1.91s/it] 21%|██▏ | 3/14 [00:05<00:21, 1.98s/it] 29%|██▊ | 4/14 [00:07<00:20, 2.01s/it] 36%|███▌ | 5/14 [00:09<00:18, 2.03s/it] 43%|████▎ | 6/14 [00:12<00:16, 2.07s/it] 50%|█████ | 7/14 [00:13<00:13, 1.97s/it] 57%|█████▋ | 8/14 [00:15<00:11, 2.00s/it] 64%|██████▍ | 9/14 [00:17<00:09, 1.92s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.88s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.88s/it] 86%|████████▌ | 12/14 [00:23<00:04, 2.02s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.86s/it] 100%|██████████| 14/14 [00:25<00:00, 1.49s/it] 100%|██████████| 14/14 [00:25<00:00, 1.84s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:23, 1.81s/it] 14%|█▍ | 2/14 [00:03<00:23, 1.97s/it] 21%|██▏ | 3/14 [00:06<00:23, 2.14s/it] 29%|██▊ | 4/14 [00:08<00:21, 2.20s/it] 36%|███▌ | 5/14 [00:10<00:19, 2.15s/it] 43%|████▎ | 6/14 [00:12<00:17, 2.13s/it] 50%|█████ | 7/14 [00:14<00:13, 1.99s/it] 57%|█████▋ | 8/14 [00:16<00:11, 1.98s/it] 64%|██████▍ | 9/14 [00:18<00:09, 1.90s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.85s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.83s/it] 86%|████████▌ | 12/14 [00:23<00:03, 1.87s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.76s/it] 100%|██████████| 14/14 [00:25<00:00, 1.41s/it] 100%|██████████| 14/14 [00:25<00:00, 1.83s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.3ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
a strong 28-year-old senegalese powerlifter bodybuilder male , with short military haircut, glazed face, mindless expression, wearing a robotic suit, wearing a skin tight black latex robotic suit with gray latex details, standing at attention posture, on a modern futuristic street, looking to the camera, detailed face, Cinematic, Photoshoot, Shot on 25mm lens, Depth of Field, Tilt Blur, Shutter Speed 1/1000, F/22, White Balance, 32k, Super-Resolution, Pro Photo RGB, Half rear Lighting, Backlight, Dramatic Lighting, Incandescent, Soft Lighting, Volumetric, Conte-Jour, Global Illumination, Screen Space Global Illumination, Scattering, Shadows, Rough, Shimmering, Lumen Reflections, Screen Space Reflections, Diffraction Grading, Chromatic Aberration, GB Displacement, Scan Lines, Ambient Occlusion, Anti-Aliasing, FKAA, TXAA, RTX, SSAO, OpenGL-Shader, Post Processing, Post-Production, Cell Shading, Tone Mapping, CGI, VFX, SFX, insanely detailed and intricate, hyper maximalist, elegant, dynamic pose, photography, volumetric, ultra-detailed, intricate details, super detailed, ambient
negative_prompt
Specify things to not see in the output
worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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.
868093862
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++ SDE Karras
samping_steps
Number of denoising steps
31
cfg_scale
Scale for classifier-free guidance
7
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/60ed0843a3a943f39b65b25aa1f8f097/00000-868093862.webp
https://files.tungsten.run/uploads/50683856fe6243f9bdfb043621f8057e/00001-868093863.webp
https://files.tungsten.run/uploads/39350c0573134c40a0d33d72680883e7/00002-868093864.webp
Finished in 299.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: a strong 28-year-old senegalese powerlifter bodybuilder male , with short military haircut, glazed face, mindless expression, wearing a robotic suit, wearing a skin tight black latex robotic suit with gray latex details, standing at attention posture, on a modern futuristic street, looking to the camera, detailed face, Cinematic, Photoshoot, Shot on 25mm lens, Depth of Field, Tilt Blur, Shutter Speed 1/1000, F/22, White Balance, 32k, Super-Resolution, Pro Photo RGB, Half rear Lighting, Backlight, Dramatic Lighting, Incandescent, Soft Lighting, Volumetric, Conte-Jour, Global Illumination, Screen Space Global Illumination, Scattering, Shadows, Rough, Shimmering, Lumen Reflections, Screen Space Reflections, Diffraction Grading, Chromatic Aberration, GB Displacement, Scan Lines, Ambient Occlusion, Anti-Aliasing, FKAA, TXAA, RTX, SSAO, OpenGL-Shader, Post Processing, Post-Production, Cell Shading, Tone Mapping, CGI, VFX, SFX, insanely detailed and intricate, hyper maximalist, elegant, dynamic pose, photography, volumetric, ultra-detailed, intricate details, super detailed, ambient Full negative prompt: worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:04<02:00, 4.02s/it] 6%|▋ | 2/31 [00:09<02:16, 4.71s/it] 10%|▉ | 3/31 [00:14<02:21, 5.07s/it] 13%|█▎ | 4/31 [00:20<02:20, 5.20s/it] 16%|█▌ | 5/31 [00:25<02:14, 5.19s/it] 19%|█▉ | 6/31 [00:30<02:11, 5.27s/it] 23%|██▎ | 7/31 [00:36<02:07, 5.29s/it] 26%|██▌ | 8/31 [00:41<02:02, 5.31s/it] 29%|██▉ | 9/31 [00:46<01:56, 5.28s/it] 32%|███▏ | 10/31 [00:52<01:55, 5.48s/it] 35%|███▌ | 11/31 [00:57<01:47, 5.38s/it] 39%|███▊ | 12/31 [01:03<01:42, 5.37s/it] 42%|████▏ | 13/31 [01:08<01:35, 5.31s/it] 45%|████▌ | 14/31 [01:13<01:30, 5.32s/it] 48%|████▊ | 15/31 [01:18<01:23, 5.19s/it] 52%|█████▏ | 16/31 [01:23<01:17, 5.16s/it] 55%|█████▍ | 17/31 [01:28<01:12, 5.16s/it] 58%|█████▊ | 18/31 [01:32<01:03, 4.86s/it] 61%|██████▏ | 19/31 [01:37<00:58, 4.84s/it] 65%|██████▍ | 20/31 [01:42<00:53, 4.90s/it] 68%|██████▊ | 21/31 [01:47<00:49, 4.91s/it] 71%|███████ | 22/31 [01:52<00:44, 4.91s/it] 74%|███████▍ | 23/31 [01:58<00:41, 5.21s/it] 77%|███████▋ | 24/31 [02:02<00:34, 4.95s/it] 81%|████████ | 25/31 [02:07<00:30, 5.02s/it] 84%|████████▍ | 26/31 [02:11<00:23, 4.67s/it] 87%|████████▋ | 27/31 [02:15<00:17, 4.46s/it] 90%|█████████ | 28/31 [02:19<00:13, 4.36s/it] 94%|█████████▎| 29/31 [02:24<00:08, 4.45s/it] 97%|█████████▋| 30/31 [02:27<00:04, 4.10s/it] 100%|██████████| 31/31 [02:29<00:00, 3.24s/it] 100%|██████████| 31/31 [02:29<00:00, 4.81s/it] Decoding latents in cuda:0... done in 2.34s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 20.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:02<00:26, 2.06s/it] 14%|█▍ | 2/14 [00:04<00:24, 2.01s/it] 21%|██▏ | 3/14 [00:06<00:22, 2.07s/it] 29%|██▊ | 4/14 [00:08<00:21, 2.16s/it] 36%|███▌ | 5/14 [00:10<00:19, 2.16s/it] 43%|████▎ | 6/14 [00:12<00:17, 2.15s/it] 50%|█████ | 7/14 [00:14<00:14, 2.01s/it] 57%|█████▋ | 8/14 [00:16<00:12, 2.01s/it] 64%|██████▍ | 9/14 [00:18<00:09, 1.91s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.85s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.82s/it] 86%|████████▌ | 12/14 [00:23<00:03, 1.87s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.76s/it] 100%|██████████| 14/14 [00:25<00:00, 1.42s/it] 100%|██████████| 14/14 [00:25<00:00, 1.84s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 12.9ms Speed: 4.6ms preprocess, 12.9ms inference, 1.3ms 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: 3.0ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:24, 1.86s/it] 14%|█▍ | 2/14 [00:03<00:24, 2.02s/it] 21%|██▏ | 3/14 [00:06<00:22, 2.05s/it] 29%|██▊ | 4/14 [00:08<00:20, 2.05s/it] 36%|███▌ | 5/14 [00:10<00:18, 2.07s/it] 43%|████▎ | 6/14 [00:12<00:16, 2.09s/it] 50%|█████ | 7/14 [00:14<00:13, 1.96s/it] 57%|█████▋ | 8/14 [00:16<00:12, 2.01s/it] 64%|██████▍ | 9/14 [00:17<00:09, 1.91s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.87s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.91s/it] 86%|████████▌ | 12/14 [00:23<00:03, 1.97s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.87s/it] 100%|██████████| 14/14 [00:26<00:00, 1.51s/it] 100%|██████████| 14/14 [00:26<00:00, 1.86s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.6ms preprocess, 7.5ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:24, 1.89s/it] 14%|█▍ | 2/14 [00:03<00:23, 1.97s/it] 21%|██▏ | 3/14 [00:05<00:22, 2.01s/it] 29%|██▊ | 4/14 [00:08<00:20, 2.05s/it] 36%|███▌ | 5/14 [00:10<00:18, 2.11s/it] 43%|████▎ | 6/14 [00:12<00:17, 2.14s/it] 50%|█████ | 7/14 [00:14<00:14, 2.03s/it] 57%|█████▋ | 8/14 [00:16<00:12, 2.02s/it] 64%|██████▍ | 9/14 [00:18<00:09, 1.92s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.87s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.84s/it] 86%|████████▌ | 12/14 [00:23<00:03, 1.88s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.77s/it] 100%|██████████| 14/14 [00:25<00:00, 1.42s/it] 100%|██████████| 14/14 [00:25<00:00, 1.83s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:23, 1.81s/it] 14%|█▍ | 2/14 [00:03<00:22, 1.91s/it] 21%|██▏ | 3/14 [00:05<00:21, 1.98s/it] 29%|██▊ | 4/14 [00:07<00:20, 2.01s/it] 36%|███▌ | 5/14 [00:09<00:18, 2.03s/it] 43%|████▎ | 6/14 [00:12<00:16, 2.07s/it] 50%|█████ | 7/14 [00:13<00:13, 1.97s/it] 57%|█████▋ | 8/14 [00:15<00:11, 2.00s/it] 64%|██████▍ | 9/14 [00:17<00:09, 1.92s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.88s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.88s/it] 86%|████████▌ | 12/14 [00:23<00:04, 2.02s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.86s/it] 100%|██████████| 14/14 [00:25<00:00, 1.49s/it] 100%|██████████| 14/14 [00:25<00:00, 1.84s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:23, 1.81s/it] 14%|█▍ | 2/14 [00:03<00:23, 1.97s/it] 21%|██▏ | 3/14 [00:06<00:23, 2.14s/it] 29%|██▊ | 4/14 [00:08<00:21, 2.20s/it] 36%|███▌ | 5/14 [00:10<00:19, 2.15s/it] 43%|████▎ | 6/14 [00:12<00:17, 2.13s/it] 50%|█████ | 7/14 [00:14<00:13, 1.99s/it] 57%|█████▋ | 8/14 [00:16<00:11, 1.98s/it] 64%|██████▍ | 9/14 [00:18<00:09, 1.90s/it] 71%|███████▏ | 10/14 [00:19<00:07, 1.85s/it] 79%|███████▊ | 11/14 [00:21<00:05, 1.83s/it] 86%|████████▌ | 12/14 [00:23<00:03, 1.87s/it] 93%|█████████▎| 13/14 [00:25<00:01, 1.76s/it] 100%|██████████| 14/14 [00:25<00:00, 1.41s/it] 100%|██████████| 14/14 [00:25<00:00, 1.83s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.3ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.