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Anime Beach Girls with Nijisouls
nijisouls:v1.0
evevalentine2017
evevalentine2017
·
Mar 10
343
Input
prompt
Specify things to see in the output
(Masterpiece), (best quality), (anime:1), 2D, flat colors, upper body view, perfect face, perfect eyes, 1girl, (solo), super cute, gorgeous, hot, dark skin, beach, smile, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(realistic), (volumetric), (photo), (low-quality worst-quality:1.5), earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative
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.
-1
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
Euler a
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
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
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)
negative_hand-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
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/62d01d689832437dae32b5c906aeb8ce/00000-1423764965.webp
https://files.tungsten.run/uploads/691d699dfe124bc98ad6a9926c788cc2/00001-1423764966.webp
https://files.tungsten.run/uploads/d309b4eb4929477e98de62a9293e5f1f/00002-1423764967.webp
https://files.tungsten.run/uploads/75205cf086cb4b838075c624287329aa/00003-1423764968.webp
Finished in 39.1 seconds
Preparing inputs... Processing... Using seed 1423764965 Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (Masterpiece), (best quality), (anime:1), 2D, flat colors, upper body view, perfect face, perfect eyes, 1girl, (solo), super cute, gorgeous, hot, dark skin, beach, smile, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: (realistic), (volumetric), (photo), (low-quality worst-quality:1.5), earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:31, 1.08s/it] 7%|▋ | 2/30 [00:01<00:23, 1.20it/s] 10%|█ | 3/30 [00:02<00:20, 1.33it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.40it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.44it/s] 20%|██ | 6/30 [00:04<00:16, 1.47it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:06<00:14, 1.50it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.50it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.50it/s] 40%|████ | 12/30 [00:08<00:11, 1.50it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.50it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.50it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.50it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:12<00:07, 1.50it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.50it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.50it/s] 70%|███████ | 21/30 [00:14<00:05, 1.50it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.50it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.50it/s] 80%|████████ | 24/30 [00:16<00:03, 1.50it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.50it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.50it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.50it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.49it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.51it/s] 100%|██████████| 30/30 [00:20<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.01s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.32it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.66it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.33it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.72it/s] 36%|███▌ | 5/14 [00:00<00:01, 5.95it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.05it/s] 50%|█████ | 7/14 [00:01<00:01, 6.10it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.19it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.24it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.29it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.32it/s] 86%|████████▌ | 12/14 [00:02<00:00, 6.33it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.30it/s] 100%|██████████| 14/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 5.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.49it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.44it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.44it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.44it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.43it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.34it/s] 50%|█████ | 7/14 [00:01<00:01, 6.29it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.31it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.32it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.35it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.37it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.36it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.33it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] 100%|██████████| 14/14 [00:02<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.76it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.56it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.49it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.49it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.47it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.40it/s] 50%|█████ | 7/14 [00:01<00:01, 6.31it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.26it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.03it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.15it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.22it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.25it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.25it/s] 100%|██████████| 14/14 [00:02<00:00, 6.31it/s] 100%|██████████| 14/14 [00:02<00:00, 6.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.66it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.52it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.49it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.37it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.40it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.35it/s] 50%|█████ | 7/14 [00:01<00:01, 6.30it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.33it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.34it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.34it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.36it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.32it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.29it/s] 100%|██████████| 14/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.71it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.49it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.45it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.45it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.43it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.34it/s] 50%|█████ | 7/14 [00:01<00:01, 6.23it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.27it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.27it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.30it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.32it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.31it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.28it/s] 100%|██████████| 14/14 [00:02<00:00, 6.32it/s] 100%|██████████| 14/14 [00:02<00:00, 6.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(Masterpiece), (best quality), (anime:1), 2D, flat colors, upper body view, perfect face, perfect eyes, 1girl, (solo), super cute, gorgeous, hot, dark skin, beach, smile, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(realistic), (volumetric), (photo), (low-quality worst-quality:1.5), earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative
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.
-1
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
Euler a
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
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
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)
negative_hand-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
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/62d01d689832437dae32b5c906aeb8ce/00000-1423764965.webp
https://files.tungsten.run/uploads/691d699dfe124bc98ad6a9926c788cc2/00001-1423764966.webp
https://files.tungsten.run/uploads/d309b4eb4929477e98de62a9293e5f1f/00002-1423764967.webp
https://files.tungsten.run/uploads/75205cf086cb4b838075c624287329aa/00003-1423764968.webp
Finished in 39.1 seconds
Preparing inputs... Processing... Using seed 1423764965 Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (Masterpiece), (best quality), (anime:1), 2D, flat colors, upper body view, perfect face, perfect eyes, 1girl, (solo), super cute, gorgeous, hot, dark skin, beach, smile, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: (realistic), (volumetric), (photo), (low-quality worst-quality:1.5), earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:31, 1.08s/it] 7%|▋ | 2/30 [00:01<00:23, 1.20it/s] 10%|█ | 3/30 [00:02<00:20, 1.33it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.40it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.44it/s] 20%|██ | 6/30 [00:04<00:16, 1.47it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:06<00:14, 1.50it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.50it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.50it/s] 40%|████ | 12/30 [00:08<00:11, 1.50it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.50it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.50it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.50it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:12<00:07, 1.50it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.50it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.50it/s] 70%|███████ | 21/30 [00:14<00:05, 1.50it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.50it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.50it/s] 80%|████████ | 24/30 [00:16<00:03, 1.50it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.50it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.50it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.50it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.49it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.51it/s] 100%|██████████| 30/30 [00:20<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.01s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.32it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.66it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.33it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.72it/s] 36%|███▌ | 5/14 [00:00<00:01, 5.95it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.05it/s] 50%|█████ | 7/14 [00:01<00:01, 6.10it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.19it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.24it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.29it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.32it/s] 86%|████████▌ | 12/14 [00:02<00:00, 6.33it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.30it/s] 100%|██████████| 14/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 5.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.49it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.44it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.44it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.44it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.43it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.34it/s] 50%|█████ | 7/14 [00:01<00:01, 6.29it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.31it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.32it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.35it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.37it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.36it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.33it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] 100%|██████████| 14/14 [00:02<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.76it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.56it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.49it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.49it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.47it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.40it/s] 50%|█████ | 7/14 [00:01<00:01, 6.31it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.26it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.03it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.15it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.22it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.25it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.25it/s] 100%|██████████| 14/14 [00:02<00:00, 6.31it/s] 100%|██████████| 14/14 [00:02<00:00, 6.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.66it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.52it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.49it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.37it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.40it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.35it/s] 50%|█████ | 7/14 [00:01<00:01, 6.30it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.33it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.34it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.34it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.36it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.32it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.29it/s] 100%|██████████| 14/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.71it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.49it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.45it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.45it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.43it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.34it/s] 50%|█████ | 7/14 [00:01<00:01, 6.23it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.27it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.27it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.30it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.32it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.31it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.28it/s] 100%|██████████| 14/14 [00:02<00:00, 6.32it/s] 100%|██████████| 14/14 [00:02<00:00, 6.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.