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Latex Goth Outfits with Realisian
realisian:v5.0
evevalentine2017
evevalentine2017
·
12/28/2023
353
Input
prompt
Specify things to see in the output
(8k, RAW photo, best quality, masterpiece:1.2), ultra detailed, (photo realistic:1.4), (upper body shot:1.2), (RAW 8k photo) of 1 girl, wearing latex cyb dress, frilled dress, frills, gothic, bow, long sleeves, <lora:gothic_attire_style1_v1:0.7>, (latex:1.4), (RAW photo, best quality), (realistic, photo-realistic:1.4), masterpiece, an extremely delicate and beautiful, extremely detailed, 2k wallpaper, Amazing, finely detail, extremely detailed CG unity 8k wallpaper, ultra-detailed, highres, soft light, mascara, makeup, beautiful detailed woman, slender body, perfect anatomy, large breasts, cleavage, smiling, perfect anatomy, parted bangs, (black hair), long hair, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, cinematic lighting, standing in her room, <lora:add_detail:0.8>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5)
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
-1.09
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3614532514
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 Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
4
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>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
gothic_attire_style1_v1.safetensors
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)
badhandv4.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-32v.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/4140bf174ca340e4b11e80d00a27050f/00000-3614532514.webp
https://files.tungsten.run/uploads/c14dcd667ff34e9c91eefebd172df71c/00001-3614532515.webp
https://files.tungsten.run/uploads/ea4210b9c8d44fd39c1eaaee6da3035d/00002-3614532516.webp
https://files.tungsten.run/uploads/24ed8b0c3dd543469ad96e6998ba3b2a/00003-3614532517.webp
Finished in 153.2 seconds
v5.0: Pulling from evevalentine2017/realisian 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 5c26b38d8aa7: Pull complete ac5c0a663d52: Pull complete f349d7cbac43: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (8k, RAW photo, best quality, masterpiece:1.2), ultra detailed, (photo realistic:1.4), (upper body shot:1.2), (RAW 8k photo) of 1 girl, wearing latex cyb dress, frilled dress, frills, gothic, bow, long sleeves, <lora:gothic_attire_style1_v1:0.7>, (latex:1.4), (RAW photo, best quality), (realistic, photo-realistic:1.4), masterpiece, an extremely delicate and beautiful, extremely detailed, 2k wallpaper, Amazing, finely detail, extremely detailed CG unity 8k wallpaper, ultra-detailed, highres, soft light, mascara, makeup, beautiful detailed woman, slender body, perfect anatomy, large breasts, cleavage, smiling, perfect anatomy, parted bangs, (black hair), long hair, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, cinematic lighting, standing in her room, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09> Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.80s/it] 7%|▋ | 2/30 [00:03<00:48, 1.74s/it] 10%|█ | 3/30 [00:05<00:46, 1.72s/it] 13%|█▎ | 4/30 [00:07<00:45, 1.76s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.78s/it] 20%|██ | 6/30 [00:10<00:42, 1.77s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:13<00:38, 1.74s/it] 30%|███ | 9/30 [00:15<00:36, 1.76s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.75s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.74s/it] 40%|████ | 12/30 [00:20<00:30, 1.72s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.72s/it] 47%|████▋ | 14/30 [00:24<00:26, 1.64s/it] 50%|█████ | 15/30 [00:25<00:24, 1.61s/it] 53%|█████▎ | 16/30 [00:27<00:21, 1.56s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.56s/it] 60%|██████ | 18/30 [00:30<00:18, 1.58s/it] 63%|██████▎ | 19/30 [00:31<00:17, 1.57s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.60s/it] 70%|███████ | 21/30 [00:35<00:14, 1.58s/it] 73%|███████▎ | 22/30 [00:36<00:12, 1.59s/it] 77%|███████▋ | 23/30 [00:37<00:10, 1.52s/it] 80%|████████ | 24/30 [00:39<00:08, 1.47s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.48s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.52s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.51s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.51s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.32s/it] 100%|██████████| 30/30 [00:46<00:00, 1.11s/it] 100%|██████████| 30/30 [00:46<00:00, 1.57s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.77s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 4.2ms preprocess, 7.5ms inference, 23.7ms 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, 1.96it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.16it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.19it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.20it/s] 41%|████ | 7/17 [00:03<00:04, 2.18it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.23it/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, 2.37it/s] 71%|███████ | 12/17 [00:05<00:02, 2.35it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.26it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.29it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.32it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.58it/s] 100%|██████████| 17/17 [00:07<00:00, 3.03it/s] 100%|██████████| 17/17 [00:07<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 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, 2.31it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.29it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.28it/s] 41%|████ | 7/17 [00:03<00:04, 2.22it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.23it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.22it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.38it/s] 71%|███████ | 12/17 [00:05<00:02, 2.38it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.36it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.36it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.63it/s] 100%|██████████| 17/17 [00:06<00:00, 3.07it/s] 100%|██████████| 17/17 [00:06<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.34it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.34it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.33it/s] 41%|████ | 7/17 [00:03<00:04, 2.28it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.29it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.27it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.38it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.42it/s] 71%|███████ | 12/17 [00:05<00:02, 2.39it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.34it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:06<00:00, 3.10it/s] 100%|██████████| 17/17 [00:06<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.39it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.37it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.37it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.31it/s] 41%|████ | 7/17 [00:03<00:04, 2.24it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.23it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.20it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.33it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.37it/s] 71%|███████ | 12/17 [00:05<00:02, 2.38it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.31it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.36it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:06<00:00, 3.08it/s] 100%|██████████| 17/17 [00:06<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.2ms Speed: 2.9ms preprocess, 7.2ms 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, 2.23it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.26it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.33it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.29it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.29it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.24it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.20it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.33it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.37it/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, 2.30it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.28it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.57it/s] 100%|██████████| 17/17 [00:07<00:00, 3.01it/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%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.29it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.26it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.33it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.25it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.24it/s] 41%|████ | 7/17 [00:03<00:04, 2.20it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.24it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.21it/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, 2.37it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.35it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:06<00:00, 3.05it/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 3 hands, 7.3ms Speed: 3.1ms 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, 2.36it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.26it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.33it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.28it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.29it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.23it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.34it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.41it/s] 71%|███████ | 12/17 [00:05<00:02, 2.40it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.34it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.63it/s] 100%|██████████| 17/17 [00:06<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.29it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.28it/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, 2.24it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.25it/s] 41%|████ | 7/17 [00:03<00:04, 2.20it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.22it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.21it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.40it/s] 71%|███████ | 12/17 [00:05<00:02, 2.38it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.30it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.31it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.59it/s] 100%|██████████| 17/17 [00:07<00:00, 3.01it/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%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.32it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.37it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.28it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.25it/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, 2.25it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.23it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.37it/s] 71%|███████ | 12/17 [00:05<00:02, 2.37it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.34it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.34it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.63it/s] 100%|██████████| 17/17 [00:06<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.1ms Speed: 3.1ms preprocess, 8.1ms 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, 2.28it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.30it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.24it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.22it/s] 41%|████ | 7/17 [00:03<00:04, 2.17it/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, 2.35it/s] 71%|███████ | 12/17 [00:05<00:02, 2.35it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.27it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.27it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.30it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.58it/s] 100%|██████████| 17/17 [00:07<00:00, 3.01it/s] 100%|██████████| 17/17 [00:07<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 3.0ms preprocess, 6.9ms inference, 1.0ms 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: 2.7ms preprocess, 7.3ms 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, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.27it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.34it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.24it/s] 41%|████ | 7/17 [00:03<00:04, 2.18it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.21it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.19it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.27it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.35it/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, 2.30it/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, 2.98it/s] 100%|██████████| 17/17 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(8k, RAW photo, best quality, masterpiece:1.2), ultra detailed, (photo realistic:1.4), (upper body shot:1.2), (RAW 8k photo) of 1 girl, wearing latex cyb dress, frilled dress, frills, gothic, bow, long sleeves, <lora:gothic_attire_style1_v1:0.7>, (latex:1.4), (RAW photo, best quality), (realistic, photo-realistic:1.4), masterpiece, an extremely delicate and beautiful, extremely detailed, 2k wallpaper, Amazing, finely detail, extremely detailed CG unity 8k wallpaper, ultra-detailed, highres, soft light, mascara, makeup, beautiful detailed woman, slender body, perfect anatomy, large breasts, cleavage, smiling, perfect anatomy, parted bangs, (black hair), long hair, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, cinematic lighting, standing in her room, <lora:add_detail:0.8>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5)
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
-1.09
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3614532514
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 Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
4
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>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
gothic_attire_style1_v1.safetensors
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)
badhandv4.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-32v.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/4140bf174ca340e4b11e80d00a27050f/00000-3614532514.webp
https://files.tungsten.run/uploads/c14dcd667ff34e9c91eefebd172df71c/00001-3614532515.webp
https://files.tungsten.run/uploads/ea4210b9c8d44fd39c1eaaee6da3035d/00002-3614532516.webp
https://files.tungsten.run/uploads/24ed8b0c3dd543469ad96e6998ba3b2a/00003-3614532517.webp
Finished in 153.2 seconds
v5.0: Pulling from evevalentine2017/realisian 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 5c26b38d8aa7: Pull complete ac5c0a663d52: Pull complete f349d7cbac43: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (8k, RAW photo, best quality, masterpiece:1.2), ultra detailed, (photo realistic:1.4), (upper body shot:1.2), (RAW 8k photo) of 1 girl, wearing latex cyb dress, frilled dress, frills, gothic, bow, long sleeves, <lora:gothic_attire_style1_v1:0.7>, (latex:1.4), (RAW photo, best quality), (realistic, photo-realistic:1.4), masterpiece, an extremely delicate and beautiful, extremely detailed, 2k wallpaper, Amazing, finely detail, extremely detailed CG unity 8k wallpaper, ultra-detailed, highres, soft light, mascara, makeup, beautiful detailed woman, slender body, perfect anatomy, large breasts, cleavage, smiling, perfect anatomy, parted bangs, (black hair), long hair, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, cinematic lighting, standing in her room, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09> Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.80s/it] 7%|▋ | 2/30 [00:03<00:48, 1.74s/it] 10%|█ | 3/30 [00:05<00:46, 1.72s/it] 13%|█▎ | 4/30 [00:07<00:45, 1.76s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.78s/it] 20%|██ | 6/30 [00:10<00:42, 1.77s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:13<00:38, 1.74s/it] 30%|███ | 9/30 [00:15<00:36, 1.76s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.75s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.74s/it] 40%|████ | 12/30 [00:20<00:30, 1.72s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.72s/it] 47%|████▋ | 14/30 [00:24<00:26, 1.64s/it] 50%|█████ | 15/30 [00:25<00:24, 1.61s/it] 53%|█████▎ | 16/30 [00:27<00:21, 1.56s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.56s/it] 60%|██████ | 18/30 [00:30<00:18, 1.58s/it] 63%|██████▎ | 19/30 [00:31<00:17, 1.57s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.60s/it] 70%|███████ | 21/30 [00:35<00:14, 1.58s/it] 73%|███████▎ | 22/30 [00:36<00:12, 1.59s/it] 77%|███████▋ | 23/30 [00:37<00:10, 1.52s/it] 80%|████████ | 24/30 [00:39<00:08, 1.47s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.48s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.52s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.51s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.51s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.32s/it] 100%|██████████| 30/30 [00:46<00:00, 1.11s/it] 100%|██████████| 30/30 [00:46<00:00, 1.57s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.77s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 4.2ms preprocess, 7.5ms inference, 23.7ms 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, 1.96it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.16it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.19it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.20it/s] 41%|████ | 7/17 [00:03<00:04, 2.18it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.23it/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, 2.37it/s] 71%|███████ | 12/17 [00:05<00:02, 2.35it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.26it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.29it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.32it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.58it/s] 100%|██████████| 17/17 [00:07<00:00, 3.03it/s] 100%|██████████| 17/17 [00:07<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 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, 2.31it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.29it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.28it/s] 41%|████ | 7/17 [00:03<00:04, 2.22it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.23it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.22it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.38it/s] 71%|███████ | 12/17 [00:05<00:02, 2.38it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.36it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.36it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.63it/s] 100%|██████████| 17/17 [00:06<00:00, 3.07it/s] 100%|██████████| 17/17 [00:06<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.34it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.34it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.33it/s] 41%|████ | 7/17 [00:03<00:04, 2.28it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.29it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.27it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.38it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.42it/s] 71%|███████ | 12/17 [00:05<00:02, 2.39it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.34it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:06<00:00, 3.10it/s] 100%|██████████| 17/17 [00:06<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.39it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.37it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.37it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.31it/s] 41%|████ | 7/17 [00:03<00:04, 2.24it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.23it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.20it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.33it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.37it/s] 71%|███████ | 12/17 [00:05<00:02, 2.38it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.31it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.36it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:06<00:00, 3.08it/s] 100%|██████████| 17/17 [00:06<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.2ms Speed: 2.9ms preprocess, 7.2ms 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, 2.23it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.26it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.33it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.29it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.29it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.24it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.20it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.33it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.37it/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, 2.30it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.28it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.57it/s] 100%|██████████| 17/17 [00:07<00:00, 3.01it/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%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.29it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.26it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.33it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.25it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.24it/s] 41%|████ | 7/17 [00:03<00:04, 2.20it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.24it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.21it/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, 2.37it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.35it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:06<00:00, 3.05it/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 3 hands, 7.3ms Speed: 3.1ms 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, 2.36it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.26it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.33it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.28it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.29it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.23it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.34it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.41it/s] 71%|███████ | 12/17 [00:05<00:02, 2.40it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.34it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.63it/s] 100%|██████████| 17/17 [00:06<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.29it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.28it/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, 2.24it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.25it/s] 41%|████ | 7/17 [00:03<00:04, 2.20it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.22it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.21it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.40it/s] 71%|███████ | 12/17 [00:05<00:02, 2.38it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.30it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.31it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.59it/s] 100%|██████████| 17/17 [00:07<00:00, 3.01it/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%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.32it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.37it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.28it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.25it/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, 2.25it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.23it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.37it/s] 71%|███████ | 12/17 [00:05<00:02, 2.37it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.34it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.34it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.34it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.63it/s] 100%|██████████| 17/17 [00:06<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.1ms Speed: 3.1ms preprocess, 8.1ms 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, 2.28it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.30it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.24it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.22it/s] 41%|████ | 7/17 [00:03<00:04, 2.17it/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, 2.35it/s] 71%|███████ | 12/17 [00:05<00:02, 2.35it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.27it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.27it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.30it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.58it/s] 100%|██████████| 17/17 [00:07<00:00, 3.01it/s] 100%|██████████| 17/17 [00:07<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 3.0ms preprocess, 6.9ms inference, 1.0ms 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: 2.7ms preprocess, 7.3ms 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, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.27it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.34it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.24it/s] 41%|████ | 7/17 [00:03<00:04, 2.18it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.21it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.19it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.27it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.35it/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, 2.30it/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, 2.98it/s] 100%|██████████| 17/17 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.