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Cute Hairpins with Yes Mix
yes-mix:v3.0
evevalentine2017
evevalentine2017
·
12/12/2023
386
Input
prompt
Specify things to see in the output
masterpiece, best quality, absurdres, original, extremely delicate and beautiful, beautiful detailed eyes and face, 1girl, black_hair, flower, japanese_clothes, looking_at_viewer, mole, red_flower, solo,(masterpiece:1.4), (best quality:1.4)
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.
1664755339
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
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/354d25ff080d43cfba7291b09a5a8413/00000-1664755339.webp
https://files.tungsten.run/uploads/23ec3c6ae3ec43268e4ec7ccf2bb823b/00001-1664755340.webp
https://files.tungsten.run/uploads/7b531a7e06a7490691b06bd750936309/00002-1664755341.webp
https://files.tungsten.run/uploads/73059f97076a48f39acb5b3177bcca61/00003-1664755342.webp
Finished in 50.7 seconds
Setting up the model... Processing... Full prompt: masterpiece, best quality, absurdres, original, extremely delicate and beautiful, beautiful detailed eyes and face, 1girl, black_hair, flower, japanese_clothes, looking_at_viewer, mole, red_flower, solo,(masterpiece:1.4), (best quality:1.4) 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 [00:00<00:17, 1.61it/s] 7%|▋ | 2/30 [00:01<00:17, 1.58it/s] 10%|█ | 3/30 [00:01<00:16, 1.59it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.58it/s] 17%|█▋ | 5/30 [00:03<00:15, 1.58it/s] 20%|██ | 6/30 [00:03<00:15, 1.58it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.57it/s] 27%|██▋ | 8/30 [00:05<00:13, 1.57it/s] 30%|███ | 9/30 [00:05<00:13, 1.57it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.56it/s] 37%|███▋ | 11/30 [00:06<00:12, 1.57it/s] 40%|████ | 12/30 [00:07<00:11, 1.57it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.57it/s] 47%|████▋ | 14/30 [00:08<00:10, 1.57it/s] 50%|█████ | 15/30 [00:09<00:09, 1.57it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.57it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.57it/s] 60%|██████ | 18/30 [00:11<00:07, 1.56it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.57it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.56it/s] 70%|███████ | 21/30 [00:13<00:05, 1.56it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.56it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.56it/s] 80%|████████ | 24/30 [00:15<00:03, 1.56it/s] 83%|████████▎ | 25/30 [00:15<00:03, 1.56it/s] 87%|████████▋ | 26/30 [00:16<00:02, 1.56it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.56it/s] 93%|█████████▎| 28/30 [00:17<00:01, 1.56it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 4.6ms preprocess, 7.7ms inference, 43.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.28it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.75it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.52it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.97it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.24it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.39it/s] 41%|████ | 7/17 [00:01<00:01, 6.43it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.46it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.52it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.58it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.62it/s] 71%|███████ | 12/17 [00:01<00:00, 6.65it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.59it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.58it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.59it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.66it/s] 100%|██████████| 17/17 [00:02<00:00, 6.30it/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, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms 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, 7.08it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.87it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.81it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.77it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.80it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.74it/s] 41%|████ | 7/17 [00:01<00:01, 6.63it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.60it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.63it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.66it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.69it/s] 71%|███████ | 12/17 [00:01<00:00, 6.68it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.62it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.59it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.57it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.64it/s] 100%|██████████| 17/17 [00:02<00:00, 6.67it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 11.5ms Speed: 2.7ms preprocess, 11.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms 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, 7.06it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.91it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.87it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.82it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.80it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.71it/s] 41%|████ | 7/17 [00:01<00:01, 6.63it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.58it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.63it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.64it/s] 71%|███████ | 12/17 [00:01<00:00, 6.64it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.62it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.58it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.58it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.64it/s] 100%|██████████| 17/17 [00:02<00:00, 6.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.14it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.91it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.86it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.82it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.77it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.70it/s] 41%|████ | 7/17 [00:01<00:01, 6.60it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.62it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.66it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.67it/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, 6.58it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.63it/s] 100%|██████████| 17/17 [00:02<00:00, 6.66it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.87it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.78it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.79it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.78it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.67it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.58it/s] 41%|████ | 7/17 [00:01<00:01, 6.56it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.60it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.66it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.69it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.66it/s] 71%|███████ | 12/17 [00:01<00:00, 6.58it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.52it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.55it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.55it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.64it/s] 100%|██████████| 17/17 [00:02<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.82it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.76it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.74it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.73it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.74it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.63it/s] 41%|████ | 7/17 [00:01<00:01, 6.60it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.58it/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, 6.63it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.59it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.56it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.48it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.54it/s] 100%|██████████| 17/17 [00:02<00:00, 6.59it/s] 100%|██████████| 17/17 [00:02<00:00, 6.61it/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: 3.1ms preprocess, 7.5ms 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
masterpiece, best quality, absurdres, original, extremely delicate and beautiful, beautiful detailed eyes and face, 1girl, black_hair, flower, japanese_clothes, looking_at_viewer, mole, red_flower, solo,(masterpiece:1.4), (best quality:1.4)
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.
1664755339
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
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/354d25ff080d43cfba7291b09a5a8413/00000-1664755339.webp
https://files.tungsten.run/uploads/23ec3c6ae3ec43268e4ec7ccf2bb823b/00001-1664755340.webp
https://files.tungsten.run/uploads/7b531a7e06a7490691b06bd750936309/00002-1664755341.webp
https://files.tungsten.run/uploads/73059f97076a48f39acb5b3177bcca61/00003-1664755342.webp
Finished in 50.7 seconds
Setting up the model... Processing... Full prompt: masterpiece, best quality, absurdres, original, extremely delicate and beautiful, beautiful detailed eyes and face, 1girl, black_hair, flower, japanese_clothes, looking_at_viewer, mole, red_flower, solo,(masterpiece:1.4), (best quality:1.4) 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 [00:00<00:17, 1.61it/s] 7%|▋ | 2/30 [00:01<00:17, 1.58it/s] 10%|█ | 3/30 [00:01<00:16, 1.59it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.58it/s] 17%|█▋ | 5/30 [00:03<00:15, 1.58it/s] 20%|██ | 6/30 [00:03<00:15, 1.58it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.57it/s] 27%|██▋ | 8/30 [00:05<00:13, 1.57it/s] 30%|███ | 9/30 [00:05<00:13, 1.57it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.56it/s] 37%|███▋ | 11/30 [00:06<00:12, 1.57it/s] 40%|████ | 12/30 [00:07<00:11, 1.57it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.57it/s] 47%|████▋ | 14/30 [00:08<00:10, 1.57it/s] 50%|█████ | 15/30 [00:09<00:09, 1.57it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.57it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.57it/s] 60%|██████ | 18/30 [00:11<00:07, 1.56it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.57it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.56it/s] 70%|███████ | 21/30 [00:13<00:05, 1.56it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.56it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.56it/s] 80%|████████ | 24/30 [00:15<00:03, 1.56it/s] 83%|████████▎ | 25/30 [00:15<00:03, 1.56it/s] 87%|████████▋ | 26/30 [00:16<00:02, 1.56it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.56it/s] 93%|█████████▎| 28/30 [00:17<00:01, 1.56it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 4.6ms preprocess, 7.7ms inference, 43.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.28it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.75it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.52it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.97it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.24it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.39it/s] 41%|████ | 7/17 [00:01<00:01, 6.43it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.46it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.52it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.58it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.62it/s] 71%|███████ | 12/17 [00:01<00:00, 6.65it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.59it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.58it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.59it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.66it/s] 100%|██████████| 17/17 [00:02<00:00, 6.30it/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, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms 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, 7.08it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.87it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.81it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.77it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.80it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.74it/s] 41%|████ | 7/17 [00:01<00:01, 6.63it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.60it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.63it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.66it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.69it/s] 71%|███████ | 12/17 [00:01<00:00, 6.68it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.62it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.59it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.57it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.64it/s] 100%|██████████| 17/17 [00:02<00:00, 6.67it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 11.5ms Speed: 2.7ms preprocess, 11.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms 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, 7.06it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.91it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.87it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.82it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.80it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.71it/s] 41%|████ | 7/17 [00:01<00:01, 6.63it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.58it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.63it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.64it/s] 71%|███████ | 12/17 [00:01<00:00, 6.64it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.62it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.58it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.58it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.64it/s] 100%|██████████| 17/17 [00:02<00:00, 6.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.14it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.91it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.86it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.82it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.77it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.70it/s] 41%|████ | 7/17 [00:01<00:01, 6.60it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.62it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.66it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.67it/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, 6.58it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.63it/s] 100%|██████████| 17/17 [00:02<00:00, 6.66it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.87it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.78it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.79it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.78it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.67it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.58it/s] 41%|████ | 7/17 [00:01<00:01, 6.56it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.60it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.66it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.69it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.66it/s] 71%|███████ | 12/17 [00:01<00:00, 6.58it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.52it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.55it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.55it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.64it/s] 100%|██████████| 17/17 [00:02<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.82it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.76it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.74it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.73it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.74it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.63it/s] 41%|████ | 7/17 [00:01<00:01, 6.60it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.58it/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, 6.63it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.59it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.56it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.48it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.54it/s] 100%|██████████| 17/17 [00:02<00:00, 6.59it/s] 100%|██████████| 17/17 [00:02<00:00, 6.61it/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: 3.1ms preprocess, 7.5ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.