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Cute Knights with Next Dimension
next-dimension:v1.0
evevalentine2017
evevalentine2017
·
Mar 9
356
Input
prompt
Specify things to see in the output
(masterpiece:1.3), (best quality), (8k), (looking at viewer:1.1), upper body view, breathtaking, gorgeous, hot, seductive, young woman, (eye contact:1.1), radiant face, (detailed face:1.2), hyper detailed, best quality, ultra high res, red hair, medieval castle interior, photorealistic, high resolution, detailed, raw photo, 1 girl, armor, holding sword
negative_prompt
Specify things to not see in the output
EasyNegative, nsfw, nipples, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes
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
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2289438602
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
30
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.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/1d99f16686a2469680d379aedc0d719b/00000-2289438602.webp
https://files.tungsten.run/uploads/d468dd26035c43998b214bcdcbc36696/00001-2289438603.webp
https://files.tungsten.run/uploads/120a0d7da94f4ce9a4b31195caa3cbe3/00002-2289438604.webp
https://files.tungsten.run/uploads/d0229815d42244c2809f51f80bb87d33/00003-2289438605.webp
Finished in 48.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (masterpiece:1.3), (best quality), (8k), (looking at viewer:1.1), upper body view, breathtaking, gorgeous, hot, seductive, young woman, (eye contact:1.1), radiant face, (detailed face:1.2), hyper detailed, best quality, ultra high res, red hair, medieval castle interior, photorealistic, high resolution, detailed, raw photo, 1 girl, armor, holding sword Full negative prompt: EasyNegative, nsfw, nipples, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:20, 1.44it/s] 7%|▋ | 2/30 [00:01<00:18, 1.52it/s] 10%|█ | 3/30 [00:01<00:17, 1.57it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.57it/s] 17%|█▋ | 5/30 [00:03<00:15, 1.58it/s] 20%|██ | 6/30 [00:03<00:15, 1.58it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.58it/s] 27%|██▋ | 8/30 [00:05<00:13, 1.58it/s] 30%|███ | 9/30 [00:05<00:13, 1.58it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.58it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.58it/s] 40%|████ | 12/30 [00:07<00:11, 1.58it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.58it/s] 47%|████▋ | 14/30 [00:08<00:10, 1.58it/s] 50%|█████ | 15/30 [00:09<00:09, 1.58it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.58it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.58it/s] 60%|██████ | 18/30 [00:11<00:07, 1.58it/s] 63%|██████▎ | 19/30 [00:12<00:06, 1.58it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.58it/s] 70%|███████ | 21/30 [00:13<00:05, 1.58it/s] 73%|███████▎ | 22/30 [00:13<00:05, 1.58it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.58it/s] 80%|████████ | 24/30 [00:15<00:03, 1.58it/s] 83%|████████▎ | 25/30 [00:15<00:03, 1.57it/s] 87%|████████▋ | 26/30 [00:16<00:02, 1.57it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.57it/s] 93%|█████████▎| 28/30 [00:17<00:01, 1.57it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.6ms preprocess, 7.6ms inference, 31.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.63it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.48it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.03it/s] 29%|██▊ | 4/14 [00:01<00:02, 4.35it/s] 36%|███▌ | 5/14 [00:01<00:02, 4.50it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.67it/s] 50%|█████ | 7/14 [00:01<00:01, 4.63it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.75it/s] 64%|██████▍ | 9/14 [00:02<00:01, 4.84it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.90it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.82it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.66it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.75it/s] 100%|██████████| 14/14 [00:03<00:00, 4.66it/s] 100%|██████████| 14/14 [00:03<00:00, 4.52it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms 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<00:02, 4.76it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.96it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.97it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.99it/s] 36%|███▌ | 5/14 [00:01<00:01, 5.00it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.88it/s] 50%|█████ | 7/14 [00:01<00:01, 4.90it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.91it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.97it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.94it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.75it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.72it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.80it/s] 100%|██████████| 14/14 [00:02<00:00, 4.86it/s] 100%|██████████| 14/14 [00:02<00:00, 4.88it/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: 2.8ms preprocess, 7.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.06it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.75it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.79it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.85it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.89it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.88it/s] 50%|█████ | 7/14 [00:01<00:01, 4.72it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.78it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.82it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.70it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.79it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.76it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.77it/s] 100%|██████████| 14/14 [00:02<00:00, 4.81it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.94it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.60it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.45it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.49it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.58it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.70it/s] 50%|█████ | 7/14 [00:01<00:01, 4.76it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.83it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.88it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.88it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.91it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.95it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.89it/s] 100%|██████████| 14/14 [00:02<00:00, 4.90it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 9.3ms Speed: 2.7ms preprocess, 9.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.77it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.77it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.84it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.73it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.72it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.83it/s] 50%|█████ | 7/14 [00:01<00:01, 4.68it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.77it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.81it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.85it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.77it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.35it/s] 93%|█████████▎| 13/14 [00:02<00:00, 3.95it/s] 100%|██████████| 14/14 [00:03<00:00, 3.99it/s] 100%|██████████| 14/14 [00:03<00:00, 4.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 1.1ms 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:1.3), (best quality), (8k), (looking at viewer:1.1), upper body view, breathtaking, gorgeous, hot, seductive, young woman, (eye contact:1.1), radiant face, (detailed face:1.2), hyper detailed, best quality, ultra high res, red hair, medieval castle interior, photorealistic, high resolution, detailed, raw photo, 1 girl, armor, holding sword
negative_prompt
Specify things to not see in the output
EasyNegative, nsfw, nipples, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes
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
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2289438602
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
30
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/1d99f16686a2469680d379aedc0d719b/00000-2289438602.webp
https://files.tungsten.run/uploads/d468dd26035c43998b214bcdcbc36696/00001-2289438603.webp
https://files.tungsten.run/uploads/120a0d7da94f4ce9a4b31195caa3cbe3/00002-2289438604.webp
https://files.tungsten.run/uploads/d0229815d42244c2809f51f80bb87d33/00003-2289438605.webp
Finished in 48.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (masterpiece:1.3), (best quality), (8k), (looking at viewer:1.1), upper body view, breathtaking, gorgeous, hot, seductive, young woman, (eye contact:1.1), radiant face, (detailed face:1.2), hyper detailed, best quality, ultra high res, red hair, medieval castle interior, photorealistic, high resolution, detailed, raw photo, 1 girl, armor, holding sword Full negative prompt: EasyNegative, nsfw, nipples, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:20, 1.44it/s] 7%|▋ | 2/30 [00:01<00:18, 1.52it/s] 10%|█ | 3/30 [00:01<00:17, 1.57it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.57it/s] 17%|█▋ | 5/30 [00:03<00:15, 1.58it/s] 20%|██ | 6/30 [00:03<00:15, 1.58it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.58it/s] 27%|██▋ | 8/30 [00:05<00:13, 1.58it/s] 30%|███ | 9/30 [00:05<00:13, 1.58it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.58it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.58it/s] 40%|████ | 12/30 [00:07<00:11, 1.58it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.58it/s] 47%|████▋ | 14/30 [00:08<00:10, 1.58it/s] 50%|█████ | 15/30 [00:09<00:09, 1.58it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.58it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.58it/s] 60%|██████ | 18/30 [00:11<00:07, 1.58it/s] 63%|██████▎ | 19/30 [00:12<00:06, 1.58it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.58it/s] 70%|███████ | 21/30 [00:13<00:05, 1.58it/s] 73%|███████▎ | 22/30 [00:13<00:05, 1.58it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.58it/s] 80%|████████ | 24/30 [00:15<00:03, 1.58it/s] 83%|████████▎ | 25/30 [00:15<00:03, 1.57it/s] 87%|████████▋ | 26/30 [00:16<00:02, 1.57it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.57it/s] 93%|█████████▎| 28/30 [00:17<00:01, 1.57it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.6ms preprocess, 7.6ms inference, 31.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.63it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.48it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.03it/s] 29%|██▊ | 4/14 [00:01<00:02, 4.35it/s] 36%|███▌ | 5/14 [00:01<00:02, 4.50it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.67it/s] 50%|█████ | 7/14 [00:01<00:01, 4.63it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.75it/s] 64%|██████▍ | 9/14 [00:02<00:01, 4.84it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.90it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.82it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.66it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.75it/s] 100%|██████████| 14/14 [00:03<00:00, 4.66it/s] 100%|██████████| 14/14 [00:03<00:00, 4.52it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms 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<00:02, 4.76it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.96it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.97it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.99it/s] 36%|███▌ | 5/14 [00:01<00:01, 5.00it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.88it/s] 50%|█████ | 7/14 [00:01<00:01, 4.90it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.91it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.97it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.94it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.75it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.72it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.80it/s] 100%|██████████| 14/14 [00:02<00:00, 4.86it/s] 100%|██████████| 14/14 [00:02<00:00, 4.88it/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: 2.8ms preprocess, 7.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.06it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.75it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.79it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.85it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.89it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.88it/s] 50%|█████ | 7/14 [00:01<00:01, 4.72it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.78it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.82it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.70it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.79it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.76it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.77it/s] 100%|██████████| 14/14 [00:02<00:00, 4.81it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.94it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.60it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.45it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.49it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.58it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.70it/s] 50%|█████ | 7/14 [00:01<00:01, 4.76it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.83it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.88it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.88it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.91it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.95it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.89it/s] 100%|██████████| 14/14 [00:02<00:00, 4.90it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 9.3ms Speed: 2.7ms preprocess, 9.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.77it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.77it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.84it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.73it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.72it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.83it/s] 50%|█████ | 7/14 [00:01<00:01, 4.68it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.77it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.81it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.85it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.77it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.35it/s] 93%|█████████▎| 13/14 [00:02<00:00, 3.95it/s] 100%|██████████| 14/14 [00:03<00:00, 3.99it/s] 100%|██████████| 14/14 [00:03<00:00, 4.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.