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Red Tones with Yes Mix
yes-mix:v3.0
evevalentine2017
evevalentine2017
·
12/12/2023
370
Input
prompt
Specify things to see in the output
1girl, solo, red theme, looking at viewer, large breasts, portrait, from side,bad-girl, ((mature female)), (masterpiece:1.4), (best quality:1.4), (shiny skin),
negative_prompt
Specify things to not see in the output
FastNegativeV2, (low quality:1.3), (worst quality:1.3),(monochrome:0.8), (deformed:1.3), (malformed hands:1.4), (poorly drawn hands:1.4), (mutated fingers:1.4), (bad anatomy:1.3), (extra limbs:1.35), (poorly drawn face:1.4), (watermark:1.3), (nsfw), (nipples)
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
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.
3887694363
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 SDE Heun Exponential
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
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>
StarRail_Kafka_AP_v4.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)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/27e1932a070c48f5b695bb2ebeaac4a0/00000-3887694363.webp
https://files.tungsten.run/uploads/e2d38a833c154ed6bb1b8d0659f55d25/00001-3887694364.webp
https://files.tungsten.run/uploads/4484229961a94d4e9a0359046d716f2b/00002-3887694365.webp
https://files.tungsten.run/uploads/73d2f1b61af84c34a1f5256d778f99a2/00003-3887694366.webp
Finished in 93.5 seconds
v3.0: Pulling from evevalentine2017/yes-mix 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 5e0aa8b08b2d: Pull complete d6ef7758d156: Pull complete ce7a5d95c897: Pull complete Setting up the model... Processing... Full prompt: 1girl, solo, red theme, looking at viewer, large breasts, portrait, from side,bad-girl, ((mature female)), (masterpiece:1.4), (best quality:1.4), (shiny skin), Full negative prompt: FastNegativeV2, (low quality:1.3), (worst quality:1.3),(monochrome:0.8), (deformed:1.3), (malformed hands:1.4), (poorly drawn hands:1.4), (mutated fingers:1.4), (bad anatomy:1.3), (extra limbs:1.35), (poorly drawn face:1.4), (watermark:1.3), (nsfw), (nipples) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] 7%|▋ | 2/30 [00:02<00:43, 1.56s/it] 10%|█ | 3/30 [00:04<00:44, 1.66s/it] 13%|█▎ | 4/30 [00:06<00:45, 1.74s/it] 17%|█▋ | 5/30 [00:08<00:45, 1.83s/it] 20%|██ | 6/30 [00:10<00:42, 1.78s/it] 23%|██▎ | 7/30 [00:12<00:42, 1.83s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.82s/it] 30%|███ | 9/30 [00:15<00:37, 1.77s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.79s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.74s/it] 40%|████ | 12/30 [00:20<00:31, 1.72s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.75s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.74s/it] 50%|█████ | 15/30 [00:26<00:25, 1.71s/it] 53%|█████▎ | 16/30 [00:27<00:24, 1.72s/it] 57%|█████▋ | 17/30 [00:29<00:22, 1.71s/it] 60%|██████ | 18/30 [00:31<00:20, 1.73s/it] 63%|██████▎ | 19/30 [00:32<00:18, 1.65s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.64s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:37<00:12, 1.61s/it] 77%|███████▋ | 23/30 [00:38<00:11, 1.57s/it] 80%|████████ | 24/30 [00:40<00:09, 1.56s/it] 83%|████████▎ | 25/30 [00:42<00:07, 1.56s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.52s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.48s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.51s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.28s/it] 100%|██████████| 30/30 [00:47<00:00, 1.08s/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, 7.5ms Speed: 3.2ms preprocess, 7.5ms inference, 23.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:08, 1.79it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.32it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.39it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.40it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.57it/s] 41%|████ | 7/17 [00:02<00:03, 2.54it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.60it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.61it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.68it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.72it/s] 71%|███████ | 12/17 [00:04<00:01, 2.71it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.77it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.87it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.84it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.35it/s] 100%|██████████| 17/17 [00:06<00:00, 3.98it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.0ms 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: 2.6ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.36it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.51it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.51it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.51it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.47it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.62it/s] 41%|████ | 7/17 [00:02<00:03, 2.61it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.67it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.64it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.71it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.76it/s] 71%|███████ | 12/17 [00:04<00:01, 2.76it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.85it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.95it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.87it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.41it/s] 100%|██████████| 17/17 [00:05<00:00, 4.02it/s] 100%|██████████| 17/17 [00:05<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.40it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.48it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.41it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.41it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.56it/s] 41%|████ | 7/17 [00:02<00:03, 2.56it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.61it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.68it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.72it/s] 71%|███████ | 12/17 [00:04<00:01, 2.66it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.71it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.81it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.75it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.28it/s] 100%|██████████| 17/17 [00:06<00:00, 3.91it/s] 100%|██████████| 17/17 [00:06<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.2ms Speed: 2.9ms preprocess, 9.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.44it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.50it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.49it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.50it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.46it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.60it/s] 41%|████ | 7/17 [00:02<00:03, 2.55it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.62it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.63it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.68it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.72it/s] 71%|███████ | 12/17 [00:04<00:01, 2.68it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.76it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.86it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.80it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.31it/s] 100%|██████████| 17/17 [00:05<00:00, 3.92it/s] 100%|██████████| 17/17 [00:05<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms 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, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.38it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.46it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.43it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.42it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.42it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.61it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.71it/s] 71%|███████ | 12/17 [00:04<00:01, 2.70it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.78it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.86it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.81it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.34it/s] 100%|██████████| 17/17 [00:05<00:00, 3.97it/s] 100%|██████████| 17/17 [00:05<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.9ms 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
1girl, solo, red theme, looking at viewer, large breasts, portrait, from side,bad-girl, ((mature female)), (masterpiece:1.4), (best quality:1.4), (shiny skin),
negative_prompt
Specify things to not see in the output
FastNegativeV2, (low quality:1.3), (worst quality:1.3),(monochrome:0.8), (deformed:1.3), (malformed hands:1.4), (poorly drawn hands:1.4), (mutated fingers:1.4), (bad anatomy:1.3), (extra limbs:1.35), (poorly drawn face:1.4), (watermark:1.3), (nsfw), (nipples)
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
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.
3887694363
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 SDE Heun Exponential
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
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>
StarRail_Kafka_AP_v4.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)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/27e1932a070c48f5b695bb2ebeaac4a0/00000-3887694363.webp
https://files.tungsten.run/uploads/e2d38a833c154ed6bb1b8d0659f55d25/00001-3887694364.webp
https://files.tungsten.run/uploads/4484229961a94d4e9a0359046d716f2b/00002-3887694365.webp
https://files.tungsten.run/uploads/73d2f1b61af84c34a1f5256d778f99a2/00003-3887694366.webp
Finished in 93.5 seconds
v3.0: Pulling from evevalentine2017/yes-mix 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 5e0aa8b08b2d: Pull complete d6ef7758d156: Pull complete ce7a5d95c897: Pull complete Setting up the model... Processing... Full prompt: 1girl, solo, red theme, looking at viewer, large breasts, portrait, from side,bad-girl, ((mature female)), (masterpiece:1.4), (best quality:1.4), (shiny skin), Full negative prompt: FastNegativeV2, (low quality:1.3), (worst quality:1.3),(monochrome:0.8), (deformed:1.3), (malformed hands:1.4), (poorly drawn hands:1.4), (mutated fingers:1.4), (bad anatomy:1.3), (extra limbs:1.35), (poorly drawn face:1.4), (watermark:1.3), (nsfw), (nipples) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] 7%|▋ | 2/30 [00:02<00:43, 1.56s/it] 10%|█ | 3/30 [00:04<00:44, 1.66s/it] 13%|█▎ | 4/30 [00:06<00:45, 1.74s/it] 17%|█▋ | 5/30 [00:08<00:45, 1.83s/it] 20%|██ | 6/30 [00:10<00:42, 1.78s/it] 23%|██▎ | 7/30 [00:12<00:42, 1.83s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.82s/it] 30%|███ | 9/30 [00:15<00:37, 1.77s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.79s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.74s/it] 40%|████ | 12/30 [00:20<00:31, 1.72s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.75s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.74s/it] 50%|█████ | 15/30 [00:26<00:25, 1.71s/it] 53%|█████▎ | 16/30 [00:27<00:24, 1.72s/it] 57%|█████▋ | 17/30 [00:29<00:22, 1.71s/it] 60%|██████ | 18/30 [00:31<00:20, 1.73s/it] 63%|██████▎ | 19/30 [00:32<00:18, 1.65s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.64s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:37<00:12, 1.61s/it] 77%|███████▋ | 23/30 [00:38<00:11, 1.57s/it] 80%|████████ | 24/30 [00:40<00:09, 1.56s/it] 83%|████████▎ | 25/30 [00:42<00:07, 1.56s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.52s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.48s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.51s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.28s/it] 100%|██████████| 30/30 [00:47<00:00, 1.08s/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, 7.5ms Speed: 3.2ms preprocess, 7.5ms inference, 23.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:08, 1.79it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.32it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.39it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.40it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.57it/s] 41%|████ | 7/17 [00:02<00:03, 2.54it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.60it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.61it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.68it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.72it/s] 71%|███████ | 12/17 [00:04<00:01, 2.71it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.77it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.87it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.84it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.35it/s] 100%|██████████| 17/17 [00:06<00:00, 3.98it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.0ms 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: 2.6ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.36it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.51it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.51it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.51it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.47it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.62it/s] 41%|████ | 7/17 [00:02<00:03, 2.61it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.67it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.64it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.71it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.76it/s] 71%|███████ | 12/17 [00:04<00:01, 2.76it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.85it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.95it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.87it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.41it/s] 100%|██████████| 17/17 [00:05<00:00, 4.02it/s] 100%|██████████| 17/17 [00:05<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.40it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.48it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.41it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.41it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.56it/s] 41%|████ | 7/17 [00:02<00:03, 2.56it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.61it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.68it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.72it/s] 71%|███████ | 12/17 [00:04<00:01, 2.66it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.71it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.81it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.75it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.28it/s] 100%|██████████| 17/17 [00:06<00:00, 3.91it/s] 100%|██████████| 17/17 [00:06<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.2ms Speed: 2.9ms preprocess, 9.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.44it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.50it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.49it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.50it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.46it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.60it/s] 41%|████ | 7/17 [00:02<00:03, 2.55it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.62it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.63it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.68it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.72it/s] 71%|███████ | 12/17 [00:04<00:01, 2.68it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.76it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.86it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.80it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.31it/s] 100%|██████████| 17/17 [00:05<00:00, 3.92it/s] 100%|██████████| 17/17 [00:05<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms 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, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.38it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.46it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.43it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.42it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.42it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.61it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.71it/s] 71%|███████ | 12/17 [00:04<00:01, 2.70it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.78it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.86it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.81it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.34it/s] 100%|██████████| 17/17 [00:05<00:00, 3.97it/s] 100%|██████████| 17/17 [00:05<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.9ms 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.