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Cute Brunette with Euphostain
euphostain:v1.0
evevalentine2017
evevalentine2017
·
12/12/2023
349
Input
prompt
Specify things to see in the output
(masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, long hair, green eyes, blush, freckles, arched back, (cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, looking at viewer, upper body portrait, tattoo, shirt, Curly Top Knot, hair over eyes, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude
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.
2696694564
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
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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>
add_detail.safetensors
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)
ng_deepnegative_v1_75t.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-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/050bb2cb140247aaaa2bee7dc0163475/00000-2696694564.webp
https://files.tungsten.run/uploads/9a9caec77ad14c908a26a2926cc94c63/00001-2696694565.webp
https://files.tungsten.run/uploads/ec99b8bed00f4ef78f0846811da56c41/00002-2696694566.webp
https://files.tungsten.run/uploads/813137f51ff242f782fc647156b70eec/00003-2696694567.webp
Finished in 37.9 seconds
v1.0: Pulling from evevalentine2017/euphostain 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 2a00ad75b729: Pull complete 6238abbf7736: Pull complete 55493a0eae3f: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, long hair, green eyes, blush, freckles, arched back, (cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, looking at viewer, upper body portrait, tattoo, shirt, Curly Top Knot, hair over eyes, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:22, 1.19s/it] 10%|█ | 2/20 [00:01<00:15, 1.13it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.27it/s] 20%|██ | 4/20 [00:03<00:11, 1.34it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.38it/s] 30%|███ | 6/20 [00:04<00:09, 1.42it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.43it/s] 40%|████ | 8/20 [00:05<00:08, 1.44it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.45it/s] 50%|█████ | 10/20 [00:07<00:06, 1.46it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.46it/s] 60%|██████ | 12/20 [00:08<00:05, 1.46it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.47it/s] 70%|███████ | 14/20 [00:10<00:04, 1.47it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.47it/s] 80%|████████ | 16/20 [00:11<00:02, 1.47it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.46it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.46it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.46it/s] 100%|██████████| 20/20 [00:14<00:00, 1.46it/s] 100%|██████████| 20/20 [00:14<00:00, 1.42it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 5.5ms preprocess, 7.8ms inference, 37.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.04it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.41it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.14it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.58it/s] 42%|████▏ | 5/12 [00:00<00:01, 5.83it/s] 50%|█████ | 6/12 [00:01<00:01, 5.91it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.94it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.03it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.11it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.19it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.25it/s] 100%|██████████| 12/12 [00:02<00:00, 6.23it/s] 100%|██████████| 12/12 [00:02<00:00, 5.77it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.76it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.53it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.47it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.44it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.40it/s] 50%|█████ | 6/12 [00:00<00:00, 6.27it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.20it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.19it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.24it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.27it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.30it/s] 100%|██████████| 12/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 9.8ms Speed: 3.0ms preprocess, 9.8ms 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, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.87it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.59it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.50it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.46it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.43it/s] 50%|█████ | 6/12 [00:00<00:00, 6.28it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.18it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.18it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.23it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.27it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.27it/s] 100%|██████████| 12/12 [00:01<00:00, 6.22it/s] 100%|██████████| 12/12 [00:01<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms 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, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.74it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.53it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.47it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.41it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.33it/s] 50%|█████ | 6/12 [00:00<00:00, 6.20it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.14it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.13it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.20it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.24it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.27it/s] 100%|██████████| 12/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms 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, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, long hair, green eyes, blush, freckles, arched back, (cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, looking at viewer, upper body portrait, tattoo, shirt, Curly Top Knot, hair over eyes, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude
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.
2696694564
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
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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>
add_detail.safetensors
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)
ng_deepnegative_v1_75t.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-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/050bb2cb140247aaaa2bee7dc0163475/00000-2696694564.webp
https://files.tungsten.run/uploads/9a9caec77ad14c908a26a2926cc94c63/00001-2696694565.webp
https://files.tungsten.run/uploads/ec99b8bed00f4ef78f0846811da56c41/00002-2696694566.webp
https://files.tungsten.run/uploads/813137f51ff242f782fc647156b70eec/00003-2696694567.webp
Finished in 37.9 seconds
v1.0: Pulling from evevalentine2017/euphostain 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 2a00ad75b729: Pull complete 6238abbf7736: Pull complete 55493a0eae3f: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, long hair, green eyes, blush, freckles, arched back, (cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, looking at viewer, upper body portrait, tattoo, shirt, Curly Top Knot, hair over eyes, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:22, 1.19s/it] 10%|█ | 2/20 [00:01<00:15, 1.13it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.27it/s] 20%|██ | 4/20 [00:03<00:11, 1.34it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.38it/s] 30%|███ | 6/20 [00:04<00:09, 1.42it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.43it/s] 40%|████ | 8/20 [00:05<00:08, 1.44it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.45it/s] 50%|█████ | 10/20 [00:07<00:06, 1.46it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.46it/s] 60%|██████ | 12/20 [00:08<00:05, 1.46it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.47it/s] 70%|███████ | 14/20 [00:10<00:04, 1.47it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.47it/s] 80%|████████ | 16/20 [00:11<00:02, 1.47it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.46it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.46it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.46it/s] 100%|██████████| 20/20 [00:14<00:00, 1.46it/s] 100%|██████████| 20/20 [00:14<00:00, 1.42it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 5.5ms preprocess, 7.8ms inference, 37.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.04it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.41it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.14it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.58it/s] 42%|████▏ | 5/12 [00:00<00:01, 5.83it/s] 50%|█████ | 6/12 [00:01<00:01, 5.91it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.94it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.03it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.11it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.19it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.25it/s] 100%|██████████| 12/12 [00:02<00:00, 6.23it/s] 100%|██████████| 12/12 [00:02<00:00, 5.77it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.76it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.53it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.47it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.44it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.40it/s] 50%|█████ | 6/12 [00:00<00:00, 6.27it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.20it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.19it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.24it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.27it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.30it/s] 100%|██████████| 12/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 9.8ms Speed: 3.0ms preprocess, 9.8ms 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, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.87it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.59it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.50it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.46it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.43it/s] 50%|█████ | 6/12 [00:00<00:00, 6.28it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.18it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.18it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.23it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.27it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.27it/s] 100%|██████████| 12/12 [00:01<00:00, 6.22it/s] 100%|██████████| 12/12 [00:01<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms 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, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.74it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.53it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.47it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.41it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.33it/s] 50%|█████ | 6/12 [00:00<00:00, 6.20it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.14it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.13it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.20it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.24it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.27it/s] 100%|██████████| 12/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.