tungsten-logo
Sign In
Kimono Girl with Animerge
animerge:v25
evevalentine2017
evevalentine2017
·
12/09/2023
333
Input
prompt
Specify things to see in the output
(best quality, masterpiece, colorful, dynamic angle, highest detailed) Realistic photo, fashion photography of a cute European girl with iridiscent pink hair, flirting with POV, in traditional japanese gold&black kimono, ultra detailed kimono textures, perfect night, kyoto, fireworks, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, (official art, extreme detailed, highest detailed), HDR+
negative_prompt
Specify things to not see in the output
bad-hands-5, EasyNegativeV2
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.
1756907654
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)
EasyNegativeV2.safetensors
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/296fed0c92384701962ca3d8c9348d56/00000-1756907654.png
https://files.tungsten.run/uploads/65163722d6b64edb8e1b6c1dbc5962e5/00001-1756907655.png
https://files.tungsten.run/uploads/862a3e44c11243d59e02e26637a7861d/00002-1756907656.png
https://files.tungsten.run/uploads/bd81ecbd156f4e838a182dd01840c9dd/00003-1756907657.png
Finished in 91.1 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed) Realistic photo, fashion photography of a cute European girl with iridiscent pink hair, flirting with POV, in traditional japanese gold&black kimono, ultra detailed kimono textures, perfect night, kyoto, fireworks, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, (official art, extreme detailed, highest detailed), HDR+, (ultra detailed:1.5), (masterpiece:1.5), (ultra realistic:1.5) Full negative prompt: bad-hands-5, EasyNegativeV2 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:35, 1.24s/it] 7%|▋ | 2/30 [00:02<00:42, 1.51s/it] 10%|█ | 3/30 [00:04<00:43, 1.60s/it] 13%|█▎ | 4/30 [00:06<00:43, 1.68s/it] 17%|█▋ | 5/30 [00:08<00:43, 1.75s/it] 20%|██ | 6/30 [00:10<00:42, 1.77s/it] 23%|██▎ | 7/30 [00:11<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:13<00:38, 1.74s/it] 30%|███ | 9/30 [00:15<00:37, 1.77s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:18<00:33, 1.77s/it] 40%|████ | 12/30 [00:20<00:31, 1.75s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.75s/it] 47%|████▋ | 14/30 [00:23<00:26, 1.67s/it] 50%|█████ | 15/30 [00:25<00:24, 1.64s/it] 53%|█████▎ | 16/30 [00:26<00:22, 1.60s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.59s/it] 60%|██████ | 18/30 [00:30<00:19, 1.61s/it] 63%|██████▎ | 19/30 [00:31<00:17, 1.60s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.63s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:36<00:13, 1.63s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.55s/it] 80%|████████ | 24/30 [00:39<00:09, 1.50s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.50s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.53s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.52s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.34s/it] 100%|██████████| 30/30 [00:47<00:00, 1.12s/it] 100%|██████████| 30/30 [00:47<00:00, 1.57s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.5ms preprocess, 7.8ms inference, 30.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.62it/s] 12%|█▏ | 2/17 [00:01<00:07, 1.91it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.12it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.19it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.20it/s] 41%|████ | 7/17 [00:03<00:04, 2.16it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.20it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.19it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.39it/s] 71%|███████ | 12/17 [00:05<00:02, 2.36it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.33it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.34it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.35it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:07<00:00, 3.06it/s] 100%|██████████| 17/17 [00:07<00:00, 2.37it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.22s 0: 640x640 (no detections), 7.0ms Speed: 3.1ms preprocess, 7.0ms 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, 11.0ms Speed: 2.7ms preprocess, 11.0ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.25it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.30it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.33it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.31it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.25it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.22it/s] 41%|████ | 7/17 [00:03<00:04, 2.16it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.20it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.20it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.31it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.38it/s] 71%|███████ | 12/17 [00:05<00:02, 2.39it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.33it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.34it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.33it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.62it/s] 100%|██████████| 17/17 [00:07<00:00, 3.07it/s] 100%|██████████| 17/17 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.41s 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, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.30it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.31it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.36it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.34it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.30it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.29it/s] 41%|████ | 7/17 [00:03<00:04, 2.24it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.22it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.20it/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, 2.31it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.27it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.32it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.62it/s] 100%|██████████| 17/17 [00:06<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 3.1ms preprocess, 7.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.33it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.30it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.29it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.28it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.26it/s] 41%|████ | 7/17 [00:03<00:04, 2.22it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.21it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.33it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.40it/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, 2.29it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.32it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.59it/s] 100%|██████████| 17/17 [00:07<00:00, 3.03it/s] 100%|██████████| 17/17 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 3.0ms preprocess, 6.9ms inference, 0.9ms 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) Realistic photo, fashion photography of a cute European girl with iridiscent pink hair, flirting with POV, in traditional japanese gold&black kimono, ultra detailed kimono textures, perfect night, kyoto, fireworks, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, (official art, extreme detailed, highest detailed), HDR+
negative_prompt
Specify things to not see in the output
bad-hands-5, EasyNegativeV2
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.
1756907654
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)
EasyNegativeV2.safetensors
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/296fed0c92384701962ca3d8c9348d56/00000-1756907654.png
https://files.tungsten.run/uploads/65163722d6b64edb8e1b6c1dbc5962e5/00001-1756907655.png
https://files.tungsten.run/uploads/862a3e44c11243d59e02e26637a7861d/00002-1756907656.png
https://files.tungsten.run/uploads/bd81ecbd156f4e838a182dd01840c9dd/00003-1756907657.png
Finished in 91.1 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed) Realistic photo, fashion photography of a cute European girl with iridiscent pink hair, flirting with POV, in traditional japanese gold&black kimono, ultra detailed kimono textures, perfect night, kyoto, fireworks, (intricate details, hyperdetailed:1.15), detailed, moonlight passing through hair, (official art, extreme detailed, highest detailed), HDR+, (ultra detailed:1.5), (masterpiece:1.5), (ultra realistic:1.5) Full negative prompt: bad-hands-5, EasyNegativeV2 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:35, 1.24s/it] 7%|▋ | 2/30 [00:02<00:42, 1.51s/it] 10%|█ | 3/30 [00:04<00:43, 1.60s/it] 13%|█▎ | 4/30 [00:06<00:43, 1.68s/it] 17%|█▋ | 5/30 [00:08<00:43, 1.75s/it] 20%|██ | 6/30 [00:10<00:42, 1.77s/it] 23%|██▎ | 7/30 [00:11<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:13<00:38, 1.74s/it] 30%|███ | 9/30 [00:15<00:37, 1.77s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:18<00:33, 1.77s/it] 40%|████ | 12/30 [00:20<00:31, 1.75s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.75s/it] 47%|████▋ | 14/30 [00:23<00:26, 1.67s/it] 50%|█████ | 15/30 [00:25<00:24, 1.64s/it] 53%|█████▎ | 16/30 [00:26<00:22, 1.60s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.59s/it] 60%|██████ | 18/30 [00:30<00:19, 1.61s/it] 63%|██████▎ | 19/30 [00:31<00:17, 1.60s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.63s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:36<00:13, 1.63s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.55s/it] 80%|████████ | 24/30 [00:39<00:09, 1.50s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.50s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.53s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.52s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.34s/it] 100%|██████████| 30/30 [00:47<00:00, 1.12s/it] 100%|██████████| 30/30 [00:47<00:00, 1.57s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.5ms preprocess, 7.8ms inference, 30.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.62it/s] 12%|█▏ | 2/17 [00:01<00:07, 1.91it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.12it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.19it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.20it/s] 41%|████ | 7/17 [00:03<00:04, 2.16it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.20it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.19it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.39it/s] 71%|███████ | 12/17 [00:05<00:02, 2.36it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.33it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.34it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.35it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:07<00:00, 3.06it/s] 100%|██████████| 17/17 [00:07<00:00, 2.37it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.22s 0: 640x640 (no detections), 7.0ms Speed: 3.1ms preprocess, 7.0ms 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, 11.0ms Speed: 2.7ms preprocess, 11.0ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.25it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.30it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.33it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.31it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.25it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.22it/s] 41%|████ | 7/17 [00:03<00:04, 2.16it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.20it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.20it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.31it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.38it/s] 71%|███████ | 12/17 [00:05<00:02, 2.39it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.33it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.34it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.33it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.62it/s] 100%|██████████| 17/17 [00:07<00:00, 3.07it/s] 100%|██████████| 17/17 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.41s 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, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.30it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.31it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.36it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.34it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.30it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.29it/s] 41%|████ | 7/17 [00:03<00:04, 2.24it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.22it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.20it/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, 2.31it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.27it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.32it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.62it/s] 100%|██████████| 17/17 [00:06<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 3.1ms preprocess, 7.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.33it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.30it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.29it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.28it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.26it/s] 41%|████ | 7/17 [00:03<00:04, 2.22it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.21it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.33it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.40it/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, 2.29it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.32it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.59it/s] 100%|██████████| 17/17 [00:07<00:00, 3.03it/s] 100%|██████████| 17/17 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 3.0ms preprocess, 6.9ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.