tungsten-logo
Sign In
Green Warriors with Prefix RealCart
prefix-realcart:v1.0
evevalentine2017
evevalentine2017
·
12/17/2023
378
Input
prompt
Specify things to see in the output
Death Guard plaguemarine wearing putrid armor on a (toxic planet:1.4) oceans of (green slime:1.1), toxic gas clouds <lora:truenurgle:0.8>, <lora:more_details:0.7>,
negative_prompt
Specify things to not see in the output
ugly, ((human face)), ((woman)), ((human)), ((humans)), cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), FastNegativeV2, ugly, deformed, bad image, bad_prompt_version2-neg, (bad-hands-5)
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
-0.17
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.
4124265288
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
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
truenurgle.safetensors
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)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.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/3bf5ee449afa4ad094f8003d54a64552/00000-4124265288.webp
https://files.tungsten.run/uploads/d9cb846ef10145d188e5a5e3ddd959d8/00001-4124265289.webp
https://files.tungsten.run/uploads/364458adaec549ed87cb32984036ea7a/00002-4124265290.webp
https://files.tungsten.run/uploads/c00169a7b747405abb87966a315c2cbd/00003-4124265291.webp
Finished in 45.9 seconds
v1.0: Pulling from evevalentine2017/prefix-realcart 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 030de23c0760: Already exists 8f2fce133344: Pull complete f0f0a969326c: Pull complete d124fc0f58cc: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: Death Guard plaguemarine wearing putrid armor on a (toxic planet:1.4) oceans of (green slime:1.1), toxic gas clouds <lora:truenurgle:0.8>, <lora:more_details:0.7>, , <lora:add_brightness:-0.17> Full negative prompt: ugly, ((human face)), ((woman)), ((human)), ((humans)), cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), FastNegativeV2, ugly, deformed, bad image, bad_prompt_version2-neg, (bad-hands-5) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.25s/it] 7%|▋ | 2/30 [00:01<00:24, 1.12it/s] 10%|█ | 3/30 [00:02<00:20, 1.29it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.38it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.45it/s] 20%|██ | 6/30 [00:04<00:16, 1.48it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.51it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.53it/s] 30%|███ | 9/30 [00:06<00:13, 1.54it/s] 33%|███▎ | 10/30 [00:07<00:12, 1.54it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.55it/s] 40%|████ | 12/30 [00:08<00:11, 1.55it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.56it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.55it/s] 50%|█████ | 15/30 [00:10<00:09, 1.55it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.55it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.56it/s] 60%|██████ | 18/30 [00:12<00:07, 1.56it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.56it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.56it/s] 70%|███████ | 21/30 [00:14<00:05, 1.56it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.56it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.56it/s] 80%|████████ | 24/30 [00:15<00:03, 1.56it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.56it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.56it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.56it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.56it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.9ms Speed: 3.9ms preprocess, 7.9ms inference, 9.4ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.0ms Speed: 2.9ms preprocess, 7.0ms inference, 20.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.43it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.82it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.50it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.85it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.13it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.28it/s] 41%|████ | 7/17 [00:01<00:01, 6.33it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.42it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.49it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.55it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.59it/s] 71%|███████ | 12/17 [00:01<00:00, 6.62it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.61it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.59it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.56it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.60it/s] 100%|██████████| 17/17 [00:02<00:00, 6.60it/s] 100%|██████████| 17/17 [00:02<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 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%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.97it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.76it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.71it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.69it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.67it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.63it/s] 41%|████ | 7/17 [00:01<00:01, 6.58it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.57it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.59it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.62it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.64it/s] 71%|███████ | 12/17 [00:01<00:00, 6.62it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.60it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.59it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.56it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.59it/s] 100%|██████████| 17/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.62it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 1 hand, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.03it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.80it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.74it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.71it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.68it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.64it/s] 41%|████ | 7/17 [00:01<00:01, 6.53it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.56it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.57it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.59it/s] 71%|███████ | 12/17 [00:01<00:00, 6.59it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.57it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.53it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.54it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.55it/s] 100%|██████████| 17/17 [00:02<00:00, 6.56it/s] 100%|██████████| 17/17 [00:02<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
Death Guard plaguemarine wearing putrid armor on a (toxic planet:1.4) oceans of (green slime:1.1), toxic gas clouds <lora:truenurgle:0.8>, <lora:more_details:0.7>,
negative_prompt
Specify things to not see in the output
ugly, ((human face)), ((woman)), ((human)), ((humans)), cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), FastNegativeV2, ugly, deformed, bad image, bad_prompt_version2-neg, (bad-hands-5)
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
-0.17
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.
4124265288
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
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
truenurgle.safetensors
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)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.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/3bf5ee449afa4ad094f8003d54a64552/00000-4124265288.webp
https://files.tungsten.run/uploads/d9cb846ef10145d188e5a5e3ddd959d8/00001-4124265289.webp
https://files.tungsten.run/uploads/364458adaec549ed87cb32984036ea7a/00002-4124265290.webp
https://files.tungsten.run/uploads/c00169a7b747405abb87966a315c2cbd/00003-4124265291.webp
Finished in 45.9 seconds
v1.0: Pulling from evevalentine2017/prefix-realcart 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 030de23c0760: Already exists 8f2fce133344: Pull complete f0f0a969326c: Pull complete d124fc0f58cc: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: Death Guard plaguemarine wearing putrid armor on a (toxic planet:1.4) oceans of (green slime:1.1), toxic gas clouds <lora:truenurgle:0.8>, <lora:more_details:0.7>, , <lora:add_brightness:-0.17> Full negative prompt: ugly, ((human face)), ((woman)), ((human)), ((humans)), cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), FastNegativeV2, ugly, deformed, bad image, bad_prompt_version2-neg, (bad-hands-5) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.25s/it] 7%|▋ | 2/30 [00:01<00:24, 1.12it/s] 10%|█ | 3/30 [00:02<00:20, 1.29it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.38it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.45it/s] 20%|██ | 6/30 [00:04<00:16, 1.48it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.51it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.53it/s] 30%|███ | 9/30 [00:06<00:13, 1.54it/s] 33%|███▎ | 10/30 [00:07<00:12, 1.54it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.55it/s] 40%|████ | 12/30 [00:08<00:11, 1.55it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.56it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.55it/s] 50%|█████ | 15/30 [00:10<00:09, 1.55it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.55it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.56it/s] 60%|██████ | 18/30 [00:12<00:07, 1.56it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.56it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.56it/s] 70%|███████ | 21/30 [00:14<00:05, 1.56it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.56it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.56it/s] 80%|████████ | 24/30 [00:15<00:03, 1.56it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.56it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.56it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.56it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.56it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.9ms Speed: 3.9ms preprocess, 7.9ms inference, 9.4ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.0ms Speed: 2.9ms preprocess, 7.0ms inference, 20.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.43it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.82it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.50it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.85it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.13it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.28it/s] 41%|████ | 7/17 [00:01<00:01, 6.33it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.42it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.49it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.55it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.59it/s] 71%|███████ | 12/17 [00:01<00:00, 6.62it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.61it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.59it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.56it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.60it/s] 100%|██████████| 17/17 [00:02<00:00, 6.60it/s] 100%|██████████| 17/17 [00:02<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 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%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.97it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.76it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.71it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.69it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.67it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.63it/s] 41%|████ | 7/17 [00:01<00:01, 6.58it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.57it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.59it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.62it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.64it/s] 71%|███████ | 12/17 [00:01<00:00, 6.62it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.60it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.59it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.56it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.59it/s] 100%|██████████| 17/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.62it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 1 hand, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.03it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.80it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.74it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.71it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.68it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.64it/s] 41%|████ | 7/17 [00:01<00:01, 6.53it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.56it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.57it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.59it/s] 71%|███████ | 12/17 [00:01<00:00, 6.59it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.57it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.53it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.54it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.55it/s] 100%|██████████| 17/17 [00:02<00:00, 6.56it/s] 100%|██████████| 17/17 [00:02<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.