Wired Cyborgs with Arthemy Real
Input
prompt
Specify things to see in the output
full-body digital render of a sexy metallic cyborg woman with (flowing luminescent silver hair) and (thick cables attached to her head:1.3), (chromatic blue skin:1.3), flesh cleavage, flesh thigh, wearing blacklight, [makeup:circuitry:0.5], bright eyes, (portrait:1.1), (facing the camera:1.2), (looking at the viewer:1.2), depth of field, luminal, extremely detailed, desaturated, color balance, white point, void dark energy, plasma
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3961774321
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++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
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/f542fa6249df4b5da27e30ceb8a926bf/00000-3961774321.webp
https://files.tungsten.run/uploads/6751190eee1c4786a677e1fed2821d13/00001-3961774322.webp
https://files.tungsten.run/uploads/3fa0583c17974363ac2ca8eb67a9030a/00002-3961774323.webp
https://files.tungsten.run/uploads/5a228c18aec04c28a5d2b6907d1263bd/00003-3961774324.webp
Finished in 113.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: full-body digital render of a sexy metallic cyborg woman with (flowing luminescent silver hair) and (thick cables attached to her head:1.3), (chromatic blue skin:1.3), flesh cleavage, flesh thigh, wearing blacklight, [makeup:circuitry:0.5], bright eyes, (portrait:1.1), (facing the camera:1.2), (looking at the viewer:1.2), depth of field, luminal, extremely detailed, desaturated, color balance, white point, void dark energy, plasma, <lora:add_saturation:1.0> Full negative prompt: (worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:49, 1.72s/it] 7%|▋ | 2/30 [00:03<00:50, 1.81s/it] 10%|█ | 3/30 [00:05<00:49, 1.82s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.77s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.79s/it] 20%|██ | 6/30 [00:10<00:42, 1.76s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.75s/it] 30%|███ | 9/30 [00:15<00:35, 1.70s/it] 33%|███▎ | 10/30 [00:17<00:34, 1.74s/it] 37%|███▋ | 11/30 [00:19<00:32, 1.70s/it] 40%|████ | 12/30 [00:20<00:30, 1.69s/it] 43%|████▎ | 13/30 [00:22<00:28, 1.67s/it] 47%|████▋ | 14/30 [00:24<00:26, 1.67s/it] 50%|█████ | 15/30 [00:25<00:25, 1.69s/it] 53%|█████▎ | 16/30 [00:27<00:24, 1.76s/it] 57%|█████▋ | 17/30 [00:29<00:23, 1.80s/it] 60%|██████ | 18/30 [00:31<00:22, 1.86s/it] 63%|██████▎ | 19/30 [00:33<00:19, 1.77s/it] 67%|██████▋ | 20/30 [00:35<00:17, 1.79s/it] 70%|███████ | 21/30 [00:36<00:15, 1.73s/it] 73%|███████▎ | 22/30 [00:38<00:13, 1.64s/it] 77%|███████▋ | 23/30 [00:39<00:11, 1.62s/it] 80%|████████ | 24/30 [00:41<00:09, 1.63s/it] 83%|████████▎ | 25/30 [00:43<00:08, 1.67s/it] 87%|████████▋ | 26/30 [00:44<00:06, 1.62s/it] 90%|█████████ | 27/30 [00:46<00:04, 1.64s/it] 93%|█████████▎| 28/30 [00:47<00:03, 1.60s/it] 97%|█████████▋| 29/30 [00:48<00:01, 1.38s/it] 100%|██████████| 30/30 [00:49<00:00, 1.15s/it] 100%|██████████| 30/30 [00:49<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.1ms Speed: 3.2ms preprocess, 9.1ms inference, 25.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.47it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.83it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.97it/s] 29%|██▊ | 4/14 [00:02<00:04, 2.01it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.06it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.20it/s] 50%|█████ | 7/14 [00:03<00:03, 2.25it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.22it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.18it/s] 71%|███████▏ | 10/14 [00:04<00:02, 1.89it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.95it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.05it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.39it/s] 100%|██████████| 14/14 [00:06<00:00, 2.85it/s] 100%|██████████| 14/14 [00:06<00:00, 2.21it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 3 hands, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.23it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.24it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.19it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.20it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.30it/s] 50%|█████ | 7/14 [00:03<00:03, 2.31it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.31it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.26it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.29it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.25it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.29it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.59it/s] 100%|██████████| 14/14 [00:05<00:00, 3.04it/s] 100%|██████████| 14/14 [00:05<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.20it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.22it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.13it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.11it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.15it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.27it/s] 50%|█████ | 7/14 [00:03<00:03, 2.28it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.30it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.26it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.21it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.21it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.24it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.56it/s] 100%|██████████| 14/14 [00:05<00:00, 3.01it/s] 100%|██████████| 14/14 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.20it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.16it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.08it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.20it/s] 50%|█████ | 7/14 [00:03<00:03, 2.23it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.27it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.19it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.24it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.19it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.27it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.55it/s] 100%|██████████| 14/14 [00:05<00:00, 2.95it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 2.8ms preprocess, 8.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.26it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.26it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.21it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.14it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.18it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.28it/s] 50%|█████ | 7/14 [00:03<00:03, 2.28it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.30it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.25it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.25it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.21it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.22it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.54it/s] 100%|██████████| 14/14 [00:05<00:00, 3.00it/s] 100%|██████████| 14/14 [00:05<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.96it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.94it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.98it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.92it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.95it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.96it/s] 50%|█████ | 7/14 [00:03<00:03, 1.98it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.99it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.03it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.10it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.13it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.20it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.47it/s] 100%|██████████| 14/14 [00:06<00:00, 2.92it/s] 100%|██████████| 14/14 [00:06<00:00, 2.21it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.17it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.20it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.11it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.17it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.27it/s] 50%|█████ | 7/14 [00:03<00:03, 2.26it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.29it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.22it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.26it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.17it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.21it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.92it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.21it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.21it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.09it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.10it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.21it/s] 50%|█████ | 7/14 [00:03<00:03, 2.23it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.28it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.22it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.25it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.21it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.28it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.60it/s] 100%|██████████| 14/14 [00:05<00:00, 2.93it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/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: 2.8ms preprocess, 7.3ms inference, 0.8ms 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
full-body digital render of a sexy metallic cyborg woman with (flowing luminescent silver hair) and (thick cables attached to her head:1.3), (chromatic blue skin:1.3), flesh cleavage, flesh thigh, wearing blacklight, [makeup:circuitry:0.5], bright eyes, (portrait:1.1), (facing the camera:1.2), (looking at the viewer:1.2), depth of field, luminal, extremely detailed, desaturated, color balance, white point, void dark energy, plasma
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3961774321
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++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
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/f542fa6249df4b5da27e30ceb8a926bf/00000-3961774321.webp
https://files.tungsten.run/uploads/6751190eee1c4786a677e1fed2821d13/00001-3961774322.webp
https://files.tungsten.run/uploads/3fa0583c17974363ac2ca8eb67a9030a/00002-3961774323.webp
https://files.tungsten.run/uploads/5a228c18aec04c28a5d2b6907d1263bd/00003-3961774324.webp
Finished in 113.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: full-body digital render of a sexy metallic cyborg woman with (flowing luminescent silver hair) and (thick cables attached to her head:1.3), (chromatic blue skin:1.3), flesh cleavage, flesh thigh, wearing blacklight, [makeup:circuitry:0.5], bright eyes, (portrait:1.1), (facing the camera:1.2), (looking at the viewer:1.2), depth of field, luminal, extremely detailed, desaturated, color balance, white point, void dark energy, plasma, <lora:add_saturation:1.0> Full negative prompt: (worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:49, 1.72s/it] 7%|▋ | 2/30 [00:03<00:50, 1.81s/it] 10%|█ | 3/30 [00:05<00:49, 1.82s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.77s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.79s/it] 20%|██ | 6/30 [00:10<00:42, 1.76s/it] 23%|██▎ | 7/30 [00:12<00:40, 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1.15s/it] 100%|██████████| 30/30 [00:49<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.1ms Speed: 3.2ms preprocess, 9.1ms inference, 25.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.47it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.83it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.97it/s] 29%|██▊ | 4/14 [00:02<00:04, 2.01it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.06it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.20it/s] 50%|█████ | 7/14 [00:03<00:03, 2.25it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.22it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.18it/s] 71%|███████▏ | 10/14 [00:04<00:02, 1.89it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.95it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.05it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.39it/s] 100%|██████████| 14/14 [00:06<00:00, 2.85it/s] 100%|██████████| 14/14 [00:06<00:00, 2.21it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 3 hands, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.23it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.24it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.19it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.20it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.30it/s] 50%|█████ | 7/14 [00:03<00:03, 2.31it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.31it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.26it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.29it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.25it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.29it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.59it/s] 100%|██████████| 14/14 [00:05<00:00, 3.04it/s] 100%|██████████| 14/14 [00:05<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.20it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.22it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.13it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.11it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.15it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.27it/s] 50%|█████ | 7/14 [00:03<00:03, 2.28it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.30it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.26it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.21it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.21it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.24it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.56it/s] 100%|██████████| 14/14 [00:05<00:00, 3.01it/s] 100%|██████████| 14/14 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.20it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.16it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.08it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.20it/s] 50%|█████ | 7/14 [00:03<00:03, 2.23it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.27it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.19it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.24it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.19it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.27it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.55it/s] 100%|██████████| 14/14 [00:05<00:00, 2.95it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 2.8ms preprocess, 8.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.26it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.26it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.21it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.14it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.18it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.28it/s] 50%|█████ | 7/14 [00:03<00:03, 2.28it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.30it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.25it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.25it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.21it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.22it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.54it/s] 100%|██████████| 14/14 [00:05<00:00, 3.00it/s] 100%|██████████| 14/14 [00:05<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.96it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.94it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.98it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.92it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.95it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.96it/s] 50%|█████ | 7/14 [00:03<00:03, 1.98it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.99it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.03it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.10it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.13it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.20it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.47it/s] 100%|██████████| 14/14 [00:06<00:00, 2.92it/s] 100%|██████████| 14/14 [00:06<00:00, 2.21it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.17it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.20it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.11it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.17it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.27it/s] 50%|█████ | 7/14 [00:03<00:03, 2.26it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.29it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.22it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.26it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.17it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.21it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.92it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.21it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.21it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.09it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.10it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.21it/s] 50%|█████ | 7/14 [00:03<00:03, 2.23it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.28it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.22it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.25it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.21it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.28it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.60it/s] 100%|██████████| 14/14 [00:05<00:00, 2.93it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/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: 2.8ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.