realisian
realisian
4 stars
Version: v5.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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.
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Output
https://files.tungsten.run/uploads/6b65e9f141fb4c88bc1c8409bd77db4a/00000-3614532514.webp
https://files.tungsten.run/uploads/b0300da73079467795895b6234b5839a/00001-3614532515.webp
https://files.tungsten.run/uploads/f2fffc0d1b32499fa3ea6525716eaf58/00002-3614532516.webp
https://files.tungsten.run/uploads/4b13669c76d1421ea25b239251030976/00003-3614532517.webp
This example was created by evevalentine2017
Finished in 136.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: soft lighting, Fujifilm XT5, full focus background, DSLR, 8k UHD, RAW photo, high quality, film grain, UHD, photorealistic:1.4, raw photo:1.2, HDR, best quality, masterpiece, crystal clear, sharp focus, studio lighting, photon mapping, professional colour grading, masterpiece, best quality, 1girl, ultra high res, full body, smile:1.01, soft moonlight through stained glass, dark and dim atmosphere, soft candlelight, deep shadows, 1 woman holding a candle in front of her face, light highlights her face, a massive chain blade next to her, ADEPTA SORORITAS, <lora:Adepta Sororitas MK1 by CARAXES:0.75>, kneeling in prayer, bloodmagic artifact, bloodmagic large spell, full focus background, dystopian chapel, broken stained glass window, cyberpunk skulls with candles in the background, <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<00:55, 1.90s/it] 7%|▋ | 2/30 [00:03<00:51, 1.84s/it] 10%|█ | 3/30 [00:05<00:48, 1.80s/it] 13%|█▎ | 4/30 [00:07<00:47, 1.81s/it] 17%|█▋ | 5/30 [00:09<00:46, 1.85s/it] 20%|██ | 6/30 [00:11<00:44, 1.84s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.81s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.80s/it] 30%|███ | 9/30 [00:16<00:38, 1.82s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.82s/it] 37%|███▋ | 11/30 [00:20<00:34, 1.84s/it] 40%|████ | 12/30 [00:21<00:32, 1.82s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.81s/it] 47%|████▋ | 14/30 [00:25<00:27, 1.72s/it] 50%|█████ | 15/30 [00:26<00:25, 1.68s/it] 53%|█████▎ | 16/30 [00:28<00:22, 1.64s/it] 57%|█████▋ | 17/30 [00:29<00:21, 1.63s/it] 60%|██████ | 18/30 [00:31<00:19, 1.65s/it] 63%|██████▎ | 19/30 [00:33<00:18, 1.64s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.67s/it] 70%|███████ | 21/30 [00:36<00:14, 1.64s/it] 73%|███████▎ | 22/30 [00:38<00:13, 1.67s/it] 77%|███████▋ | 23/30 [00:39<00:11, 1.58s/it] 80%|████████ | 24/30 [00:41<00:09, 1.54s/it] 83%|████████▎ | 25/30 [00:42<00:07, 1.55s/it] 87%|████████▋ | 26/30 [00:44<00:06, 1.58s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.57s/it] 93%|█████████▎| 28/30 [00:47<00:03, 1.56s/it] 97%|█████████▋| 29/30 [00:48<00:01, 1.37s/it] 100%|██████████| 30/30 [00:48<00:00, 1.14s/it] 100%|██████████| 30/30 [00:48<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.2ms Speed: 3.5ms preprocess, 8.2ms inference, 25.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:11, 1.44it/s] 12%|█▏ | 2/17 [00:01<00:08, 1.82it/s] 18%|█▊ | 3/17 [00:01<00:07, 1.99it/s] 24%|██▎ | 4/17 [00:02<00:06, 2.07it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.06it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.10it/s] 41%|████ | 7/17 [00:03<00:04, 2.07it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.23it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.29it/s] 71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.23it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:07<00:00, 2.22it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.48it/s] 100%|██████████| 17/17 [00:07<00:00, 2.89it/s] 100%|██████████| 17/17 [00:07<00:00, 2.25it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.21it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.11it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.18it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.10it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.11it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.09it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.13it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.09it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.21it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.24it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.18it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.22it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.20it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.20it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.21it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.18it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.18it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.15it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.12it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.29it/s] 71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.22it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.22it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.25it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.54it/s] 100%|██████████| 17/17 [00:07<00:00, 2.94it/s] 100%|██████████| 17/17 [00:07<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.21it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.11it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.17it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.14it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.09it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.10it/s] 41%|████ | 7/17 [00:03<00:04, 2.07it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.11it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.07it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.19it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.22it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.17it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.18it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.45it/s] 100%|██████████| 17/17 [00:07<00:00, 2.87it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.9ms Speed: 3.3ms preprocess, 7.9ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.16it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.24it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.22it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.17it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.15it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.15it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.26it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.34it/s] 71%|███████ | 12/17 [00:05<00:02, 2.33it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.28it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.26it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.24it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.52it/s] 100%|██████████| 17/17 [00:07<00:00, 2.92it/s] 100%|██████████| 17/17 [00:07<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.09it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.16it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.17it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.16it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.09it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.13it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.06it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.19it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.25it/s] 71%|███████ | 12/17 [00:05<00:02, 2.22it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.19it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.21it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.43it/s] 100%|██████████| 17/17 [00:07<00:00, 2.85it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms 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, 2.25it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.19it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.14it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.13it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.15it/s] 41%|████ | 7/17 [00:03<00:04, 2.10it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.13it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.11it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.21it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.18it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.18it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.84it/s] 100%|██████████| 17/17 [00:07<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.07it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.11it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.14it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.11it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.09it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.09it/s] 41%|████ | 7/17 [00:03<00:04, 2.07it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.06it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.06it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.16it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.22it/s] 71%|███████ | 12/17 [00:05<00:02, 2.19it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.16it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:07<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.26it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.09it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.06it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.15it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.11it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.11it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.12it/s] 41%|████ | 7/17 [00:03<00:04, 2.07it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.09it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.08it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.18it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.25it/s] 71%|███████ | 12/17 [00:05<00:02, 2.24it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.19it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.18it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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.
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https://files.tungsten.run/uploads/6b65e9f141fb4c88bc1c8409bd77db4a/00000-3614532514.webp
https://files.tungsten.run/uploads/b0300da73079467795895b6234b5839a/00001-3614532515.webp
https://files.tungsten.run/uploads/f2fffc0d1b32499fa3ea6525716eaf58/00002-3614532516.webp
https://files.tungsten.run/uploads/4b13669c76d1421ea25b239251030976/00003-3614532517.webp
This example was created by evevalentine2017
Finished in 136.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: soft lighting, Fujifilm XT5, full focus background, DSLR, 8k UHD, RAW photo, high quality, film grain, UHD, photorealistic:1.4, raw photo:1.2, HDR, best quality, masterpiece, crystal clear, sharp focus, studio lighting, photon mapping, professional colour grading, masterpiece, best quality, 1girl, ultra high res, full body, smile:1.01, soft moonlight through stained glass, dark and dim atmosphere, soft candlelight, deep shadows, 1 woman holding a candle in front of her face, light highlights her face, a massive chain blade next to her, ADEPTA SORORITAS, <lora:Adepta Sororitas MK1 by CARAXES:0.75>, kneeling in prayer, bloodmagic artifact, bloodmagic large spell, full focus background, dystopian chapel, broken stained glass window, cyberpunk skulls with candles in the background, <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<00:55, 1.90s/it] 7%|▋ | 2/30 [00:03<00:51, 1.84s/it] 10%|█ | 3/30 [00:05<00:48, 1.80s/it] 13%|█▎ | 4/30 [00:07<00:47, 1.81s/it] 17%|█▋ | 5/30 [00:09<00:46, 1.85s/it] 20%|██ | 6/30 [00:11<00:44, 1.84s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.81s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.80s/it] 30%|███ | 9/30 [00:16<00:38, 1.82s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.82s/it] 37%|███▋ | 11/30 [00:20<00:34, 1.84s/it] 40%|████ | 12/30 [00:21<00:32, 1.82s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.81s/it] 47%|████▋ | 14/30 [00:25<00:27, 1.72s/it] 50%|█████ | 15/30 [00:26<00:25, 1.68s/it] 53%|█████▎ | 16/30 [00:28<00:22, 1.64s/it] 57%|█████▋ | 17/30 [00:29<00:21, 1.63s/it] 60%|██████ | 18/30 [00:31<00:19, 1.65s/it] 63%|██████▎ | 19/30 [00:33<00:18, 1.64s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.67s/it] 70%|███████ | 21/30 [00:36<00:14, 1.64s/it] 73%|███████▎ | 22/30 [00:38<00:13, 1.67s/it] 77%|███████▋ | 23/30 [00:39<00:11, 1.58s/it] 80%|████████ | 24/30 [00:41<00:09, 1.54s/it] 83%|████████▎ | 25/30 [00:42<00:07, 1.55s/it] 87%|████████▋ | 26/30 [00:44<00:06, 1.58s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.57s/it] 93%|█████████▎| 28/30 [00:47<00:03, 1.56s/it] 97%|█████████▋| 29/30 [00:48<00:01, 1.37s/it] 100%|██████████| 30/30 [00:48<00:00, 1.14s/it] 100%|██████████| 30/30 [00:48<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.2ms Speed: 3.5ms preprocess, 8.2ms inference, 25.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:11, 1.44it/s] 12%|█▏ | 2/17 [00:01<00:08, 1.82it/s] 18%|█▊ | 3/17 [00:01<00:07, 1.99it/s] 24%|██▎ | 4/17 [00:02<00:06, 2.07it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.06it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.10it/s] 41%|████ | 7/17 [00:03<00:04, 2.07it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.23it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.29it/s] 71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.23it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:07<00:00, 2.22it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.48it/s] 100%|██████████| 17/17 [00:07<00:00, 2.89it/s] 100%|██████████| 17/17 [00:07<00:00, 2.25it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.21it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.11it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.18it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.10it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.11it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.09it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.13it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.09it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.21it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.24it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.18it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.22it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.20it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.20it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.21it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.18it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.18it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.15it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.12it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.29it/s] 71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.22it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.22it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.25it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.54it/s] 100%|██████████| 17/17 [00:07<00:00, 2.94it/s] 100%|██████████| 17/17 [00:07<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.21it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.11it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.17it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.14it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.09it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.10it/s] 41%|████ | 7/17 [00:03<00:04, 2.07it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.11it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.07it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.19it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.22it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.17it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.18it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.45it/s] 100%|██████████| 17/17 [00:07<00:00, 2.87it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.9ms Speed: 3.3ms preprocess, 7.9ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.16it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.24it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.22it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.17it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.15it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.15it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.26it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.34it/s] 71%|███████ | 12/17 [00:05<00:02, 2.33it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.28it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.26it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.24it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.52it/s] 100%|██████████| 17/17 [00:07<00:00, 2.92it/s] 100%|██████████| 17/17 [00:07<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.09it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.16it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.17it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.16it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.09it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.13it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.06it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.19it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.25it/s] 71%|███████ | 12/17 [00:05<00:02, 2.22it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.19it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.21it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.43it/s] 100%|██████████| 17/17 [00:07<00:00, 2.85it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms 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, 2.25it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.19it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.14it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.13it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.15it/s] 41%|████ | 7/17 [00:03<00:04, 2.10it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.13it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.11it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.21it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.18it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.18it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.84it/s] 100%|██████████| 17/17 [00:07<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.07it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.11it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.14it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.11it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.09it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.09it/s] 41%|████ | 7/17 [00:03<00:04, 2.07it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.06it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.06it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.16it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.22it/s] 71%|███████ | 12/17 [00:05<00:02, 2.19it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.16it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:07<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.26it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.09it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.06it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.15it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.11it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.11it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.12it/s] 41%|████ | 7/17 [00:03<00:04, 2.07it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.09it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.08it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.18it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.25it/s] 71%|███████ | 12/17 [00:05<00:02, 2.24it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.19it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.18it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.