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Girl in Blue with Animerge
animerge:v25
evevalentine2017
evevalentine2017
·
12/09/2023
345
Input
prompt
Specify things to see in the output
(best quality, masterpiece, colorful, dynamic angle, highest detailed)(Jinx, Legue of Legends, Arcane) upper body professional photo, award winning fashion photography of sexy, intense blue long hair, Jinx <lora:JinxLol:1>, Legue of Legends, Arcane, flirting, bokeh, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, perfect night (fantasy background, extreme detailed, highest detailed, natural skin texture, hyperrealism, soft light, sharp, perfect face), HDR+, <lora:add_detail:0.9>,
negative_prompt
Specify things to not see in the output
bad-hands-5, By bad artist -neg
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
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1756907652
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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 SDE 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
blessed2_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)
bad-hands-5.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
By bad artist -neg.pt
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/1b5cfbdf06444bf48c331d9f1b45dd82/00000-1756907652.png
https://files.tungsten.run/uploads/46ff9acda168474cb3c80bbbcd19def3/00001-1756907653.png
https://files.tungsten.run/uploads/7b4f0a89b0ad49cf84c91d08340dbc56/00002-1756907654.png
https://files.tungsten.run/uploads/512514a9f4a64a85b63604120fffbc5b/00003-1756907655.png
Finished in 93.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed)(Jinx, Legue of Legends, Arcane) upper body professional photo, award winning fashion photography of sexy, intense blue long hair, Jinx <lora:JinxLol:1>, Legue of Legends, Arcane, flirting, bokeh, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, perfect night (fantasy background, extreme detailed, highest detailed, natural skin texture, hyperrealism, soft light, sharp, perfect face), HDR+, , (ultra detailed:1.5), (masterpiece:1.5), (ultra realistic:1.5) Full negative prompt: bad-hands-5, By bad artist -neg Couldn't find network with name JinxLol 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:35, 1.23s/it] 7%|▋ | 2/30 [00:02<00:42, 1.52s/it] 10%|█ | 3/30 [00:04<00:43, 1.61s/it] 13%|█▎ | 4/30 [00:06<00:44, 1.70s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.76s/it] 20%|██ | 6/30 [00:10<00:43, 1.80s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.79s/it] 27%|██▋ | 8/30 [00:13<00:39, 1.77s/it] 30%|███ | 9/30 [00:15<00:37, 1.80s/it] 33%|███▎ | 10/30 [00:17<00:36, 1.80s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.79s/it] 40%|████ | 12/30 [00:20<00:31, 1.77s/it] 43%|████▎ | 13/30 [00:22<00:30, 1.77s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.69s/it] 50%|█████ | 15/30 [00:25<00:24, 1.66s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.62s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.61s/it] 60%|██████ | 18/30 [00:30<00:19, 1.63s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.62s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.65s/it] 70%|███████ | 21/30 [00:35<00:14, 1.62s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.64s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.55s/it] 80%|████████ | 24/30 [00:39<00:09, 1.51s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.52s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.56s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.56s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.54s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.35s/it] 100%|██████████| 30/30 [00:47<00:00, 1.13s/it] 100%|██████████| 30/30 [00:47<00:00, 1.59s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.8ms Speed: 5.2ms preprocess, 8.8ms inference, 35.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name JinxLol 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.48it/s] 12%|█▏ | 2/17 [00:01<00:08, 1.86it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.04it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.12it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.11it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.14it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.19it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.18it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.25it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.33it/s] 71%|███████ | 12/17 [00:05<00:02, 2.32it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.29it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.28it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.56it/s] 100%|██████████| 17/17 [00:07<00:00, 3.00it/s] 100%|██████████| 17/17 [00:07<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.6ms Speed: 3.4ms preprocess, 7.6ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name JinxLol 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.26it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.25it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.25it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.18it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.19it/s] 41%|████ | 7/17 [00:03<00:04, 2.14it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.19it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.18it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.29it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.36it/s] 71%|███████ | 12/17 [00:05<00:02, 2.30it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.25it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.21it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.25it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.53it/s] 100%|██████████| 17/17 [00:07<00:00, 2.91it/s] 100%|██████████| 17/17 [00:07<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name JinxLol 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.28it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.28it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.32it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.28it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.20it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.21it/s] 41%|████ | 7/17 [00:03<00:04, 2.18it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.20it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.16it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.26it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.34it/s] 71%|███████ | 12/17 [00:05<00:02, 2.34it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.28it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.27it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.29it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.58it/s] 100%|██████████| 17/17 [00:07<00:00, 3.02it/s] 100%|██████████| 17/17 [00:07<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.8ms Speed: 2.9ms preprocess, 7.8ms 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, 8.1ms Speed: 3.0ms preprocess, 8.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name JinxLol 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.33it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.24it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.30it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.27it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.17it/s] 41%|████ | 7/17 [00:03<00:04, 2.15it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.20it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.18it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.30it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.31it/s] 71%|███████ | 12/17 [00:05<00:02, 2.31it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.28it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.30it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.32it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.55it/s] 100%|██████████| 17/17 [00:07<00:00, 2.98it/s] 100%|██████████| 17/17 [00:07<00:00, 2.39it/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: 3.1ms preprocess, 7.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
(best quality, masterpiece, colorful, dynamic angle, highest detailed)(Jinx, Legue of Legends, Arcane) upper body professional photo, award winning fashion photography of sexy, intense blue long hair, Jinx <lora:JinxLol:1>, Legue of Legends, Arcane, flirting, bokeh, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, perfect night (fantasy background, extreme detailed, highest detailed, natural skin texture, hyperrealism, soft light, sharp, perfect face), HDR+, <lora:add_detail:0.9>,
negative_prompt
Specify things to not see in the output
bad-hands-5, By bad artist -neg
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
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1756907652
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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 SDE 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
blessed2_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)
bad-hands-5.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
By bad artist -neg.pt
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/1b5cfbdf06444bf48c331d9f1b45dd82/00000-1756907652.png
https://files.tungsten.run/uploads/46ff9acda168474cb3c80bbbcd19def3/00001-1756907653.png
https://files.tungsten.run/uploads/7b4f0a89b0ad49cf84c91d08340dbc56/00002-1756907654.png
https://files.tungsten.run/uploads/512514a9f4a64a85b63604120fffbc5b/00003-1756907655.png
Finished in 93.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed)(Jinx, Legue of Legends, Arcane) upper body professional photo, award winning fashion photography of sexy, intense blue long hair, Jinx <lora:JinxLol:1>, Legue of Legends, Arcane, flirting, bokeh, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, perfect night (fantasy background, extreme detailed, highest detailed, natural skin texture, hyperrealism, soft light, sharp, perfect face), HDR+, , (ultra detailed:1.5), (masterpiece:1.5), (ultra realistic:1.5) Full negative prompt: bad-hands-5, By bad artist -neg Couldn't find network with name JinxLol 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:35, 1.23s/it] 7%|▋ | 2/30 [00:02<00:42, 1.52s/it] 10%|█ | 3/30 [00:04<00:43, 1.61s/it] 13%|█▎ | 4/30 [00:06<00:44, 1.70s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.76s/it] 20%|██ | 6/30 [00:10<00:43, 1.80s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.79s/it] 27%|██▋ | 8/30 [00:13<00:39, 1.77s/it] 30%|███ | 9/30 [00:15<00:37, 1.80s/it] 33%|███▎ | 10/30 [00:17<00:36, 1.80s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.79s/it] 40%|████ | 12/30 [00:20<00:31, 1.77s/it] 43%|████▎ | 13/30 [00:22<00:30, 1.77s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.69s/it] 50%|█████ | 15/30 [00:25<00:24, 1.66s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.62s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.61s/it] 60%|██████ | 18/30 [00:30<00:19, 1.63s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.62s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.65s/it] 70%|███████ | 21/30 [00:35<00:14, 1.62s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.64s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.55s/it] 80%|████████ | 24/30 [00:39<00:09, 1.51s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.52s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.56s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.56s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.54s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.35s/it] 100%|██████████| 30/30 [00:47<00:00, 1.13s/it] 100%|██████████| 30/30 [00:47<00:00, 1.59s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.8ms Speed: 5.2ms preprocess, 8.8ms inference, 35.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name JinxLol 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.48it/s] 12%|█▏ | 2/17 [00:01<00:08, 1.86it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.04it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.12it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.11it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.14it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.19it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.18it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.25it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.33it/s] 71%|███████ | 12/17 [00:05<00:02, 2.32it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.29it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.28it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.56it/s] 100%|██████████| 17/17 [00:07<00:00, 3.00it/s] 100%|██████████| 17/17 [00:07<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.6ms Speed: 3.4ms preprocess, 7.6ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name JinxLol 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.26it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.25it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.25it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.18it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.19it/s] 41%|████ | 7/17 [00:03<00:04, 2.14it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.19it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.18it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.29it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.36it/s] 71%|███████ | 12/17 [00:05<00:02, 2.30it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.25it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.21it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.25it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.53it/s] 100%|██████████| 17/17 [00:07<00:00, 2.91it/s] 100%|██████████| 17/17 [00:07<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name JinxLol 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.28it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.28it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.32it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.28it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.20it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.21it/s] 41%|████ | 7/17 [00:03<00:04, 2.18it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.20it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.16it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.26it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.34it/s] 71%|███████ | 12/17 [00:05<00:02, 2.34it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.28it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.27it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.29it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.58it/s] 100%|██████████| 17/17 [00:07<00:00, 3.02it/s] 100%|██████████| 17/17 [00:07<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.8ms Speed: 2.9ms preprocess, 7.8ms 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, 8.1ms Speed: 3.0ms preprocess, 8.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name JinxLol 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.33it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.24it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.30it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.27it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.17it/s] 41%|████ | 7/17 [00:03<00:04, 2.15it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.20it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.18it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.30it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.31it/s] 71%|███████ | 12/17 [00:05<00:02, 2.31it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.28it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.30it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.32it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.55it/s] 100%|██████████| 17/17 [00:07<00:00, 2.98it/s] 100%|██████████| 17/17 [00:07<00:00, 2.39it/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: 3.1ms preprocess, 7.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.