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Beautiful White Dresses with MajicMix Lux
majicmix-lux:v3.0
evevalentine2017
evevalentine2017
·
Jan 18
358
Input
prompt
Specify things to see in the output
(RAW photo, best quality), (realistic, photo-realistic: 1.3), masterpiece, an extremely delicate and beautiful, extremely detailed, CG, unity, 2k wallpaper, Amazing, finely detailed, extremely detailed CG unity 8k wallpaper, huge filesize, ultra-detailed, highres, absurdres, soft light, dreamlike,portrait of a girl, colored inner hair, white hair, hime cut, two_side_up, hair undone, yellow eyes, puffy pants, Ethereal sheer robe, crafted from delicate chiffon, with intricate lace appliques, billowing sleeves, and a satin sash, adding an enchanting and ethereal touch with detailed cut out, open clothes, beautiful detailed girl, detailed fingers, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, long eyelashes, light on face, 1girl, cute, young, mature face, full body, realistic face, realistic body, (coquettish: 1.1), skindentation, tall girl, long legs, slender, detailed lace, vivid colors, hide hands,, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight,
negative_prompt
Specify things to not see in the output
(more than 2 arms), (more than 2 legs:2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3381584783
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
5.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
blessed2_fp16.safetensors
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>
spotlight.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealLife.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/8a00755ff0514c5bb018507edb716e4e/00000-3381584783.webp
https://files.tungsten.run/uploads/d932072f17904d6d9b6c7f658d8c8f0a/00001-3381584784.webp
https://files.tungsten.run/uploads/d81f16284eee4403b44f56f639ade383/00002-3381584785.webp
https://files.tungsten.run/uploads/2b7d8e39456145c5b4b2107ebdfab2bb/00003-3381584786.webp
Finished in 105.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (RAW photo, best quality), (realistic, photo-realistic: 1.3), masterpiece, an extremely delicate and beautiful, extremely detailed, CG, unity, 2k wallpaper, Amazing, finely detailed, extremely detailed CG unity 8k wallpaper, huge filesize, ultra-detailed, highres, absurdres, soft light, dreamlike,portrait of a girl, colored inner hair, white hair, hime cut, two_side_up, hair undone, yellow eyes, puffy pants, Ethereal sheer robe, crafted from delicate chiffon, with intricate lace appliques, billowing sleeves, and a satin sash, adding an enchanting and ethereal touch with detailed cut out, open clothes, beautiful detailed girl, detailed fingers, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, long eyelashes, light on face, 1girl, cute, young, mature face, full body, realistic face, realistic body, (coquettish: 1.1), skindentation, tall girl, long legs, slender, detailed lace, vivid colors, hide hands,, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5> Full negative prompt: (more than 2 arms), (more than 2 legs:2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:54, 1.88s/it] 7%|▋ | 2/30 [00:03<00:49, 1.78s/it] 10%|█ | 3/30 [00:05<00:47, 1.74s/it] 13%|█▎ | 4/30 [00:07<00:45, 1.75s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.79s/it] 20%|██ | 6/30 [00:10<00:42, 1.79s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.75s/it] 30%|███ | 9/30 [00:15<00:37, 1.79s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.76s/it] 40%|████ | 12/30 [00:21<00:31, 1.74s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.75s/it] 47%|████▋ | 14/30 [00:24<00:26, 1.66s/it] 50%|█████ | 15/30 [00:25<00:24, 1.63s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.58s/it] 57%|█████▋ | 17/30 [00:29<00:20, 1.59s/it] 60%|██████ | 18/30 [00:30<00:19, 1.60s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.59s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.63s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.63s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.55s/it] 80%|████████ | 24/30 [00:39<00:09, 1.50s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.51s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.54s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.52s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.34s/it] 100%|██████████| 30/30 [00:47<00:00, 1.12s/it] 100%|██████████| 30/30 [00:47<00:00, 1.59s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 22.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.90it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.03it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.24it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.35it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.35it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.33it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.33it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.08it/s] 100%|██████████| 11/11 [00:04<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.16it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.25it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.22it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.35it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.42it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.38it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.37it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.10it/s] 100%|██████████| 11/11 [00:04<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.16it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.25it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.21it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.43it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.40it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.38it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.68it/s] 100%|██████████| 11/11 [00:04<00:00, 3.13it/s] 100%|██████████| 11/11 [00:04<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.14it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.25it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.22it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.36it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.43it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.42it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.34it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.33it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.08it/s] 100%|██████████| 11/11 [00:04<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.16it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.24it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.34it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.39it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.39it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.33it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.31it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.31it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.62it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.13it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.23it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.23it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.38it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.44it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.33it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.35it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.37it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.10it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.23it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.21it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.45it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.43it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.23it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.28it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.33it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.10it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.20it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.19it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.35it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.41it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.41it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.32it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.33it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.31it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.61it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.1ms Speed: 3.1ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.09it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.14it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.19it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.34it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.43it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.41it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.30it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.33it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.32it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.61it/s] 100%|██████████| 11/11 [00:04<00:00, 3.05it/s] 100%|██████████| 11/11 [00:04<00:00, 2.51it/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
(RAW photo, best quality), (realistic, photo-realistic: 1.3), masterpiece, an extremely delicate and beautiful, extremely detailed, CG, unity, 2k wallpaper, Amazing, finely detailed, extremely detailed CG unity 8k wallpaper, huge filesize, ultra-detailed, highres, absurdres, soft light, dreamlike,portrait of a girl, colored inner hair, white hair, hime cut, two_side_up, hair undone, yellow eyes, puffy pants, Ethereal sheer robe, crafted from delicate chiffon, with intricate lace appliques, billowing sleeves, and a satin sash, adding an enchanting and ethereal touch with detailed cut out, open clothes, beautiful detailed girl, detailed fingers, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, long eyelashes, light on face, 1girl, cute, young, mature face, full body, realistic face, realistic body, (coquettish: 1.1), skindentation, tall girl, long legs, slender, detailed lace, vivid colors, hide hands,, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight,
negative_prompt
Specify things to not see in the output
(more than 2 arms), (more than 2 legs:2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3381584783
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
5.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
blessed2_fp16.safetensors
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>
spotlight.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealLife.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/8a00755ff0514c5bb018507edb716e4e/00000-3381584783.webp
https://files.tungsten.run/uploads/d932072f17904d6d9b6c7f658d8c8f0a/00001-3381584784.webp
https://files.tungsten.run/uploads/d81f16284eee4403b44f56f639ade383/00002-3381584785.webp
https://files.tungsten.run/uploads/2b7d8e39456145c5b4b2107ebdfab2bb/00003-3381584786.webp
Finished in 105.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (RAW photo, best quality), (realistic, photo-realistic: 1.3), masterpiece, an extremely delicate and beautiful, extremely detailed, CG, unity, 2k wallpaper, Amazing, finely detailed, extremely detailed CG unity 8k wallpaper, huge filesize, ultra-detailed, highres, absurdres, soft light, dreamlike,portrait of a girl, colored inner hair, white hair, hime cut, two_side_up, hair undone, yellow eyes, puffy pants, Ethereal sheer robe, crafted from delicate chiffon, with intricate lace appliques, billowing sleeves, and a satin sash, adding an enchanting and ethereal touch with detailed cut out, open clothes, beautiful detailed girl, detailed fingers, extremely detailed eyes and face, beautiful detailed nose, beautiful detailed eyes, long eyelashes, light on face, 1girl, cute, young, mature face, full body, realistic face, realistic body, (coquettish: 1.1), skindentation, tall girl, long legs, slender, detailed lace, vivid colors, hide hands,, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5> Full negative prompt: (more than 2 arms), (more than 2 legs:2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:54, 1.88s/it] 7%|▋ | 2/30 [00:03<00:49, 1.78s/it] 10%|█ | 3/30 [00:05<00:47, 1.74s/it] 13%|█▎ | 4/30 [00:07<00:45, 1.75s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.79s/it] 20%|██ | 6/30 [00:10<00:42, 1.79s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.75s/it] 30%|███ | 9/30 [00:15<00:37, 1.79s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.76s/it] 40%|████ | 12/30 [00:21<00:31, 1.74s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.75s/it] 47%|████▋ | 14/30 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[00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.90it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.03it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.24it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.35it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.35it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.33it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.33it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.08it/s] 100%|██████████| 11/11 [00:04<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.16it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.25it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.22it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.35it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.42it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.38it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.37it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.10it/s] 100%|██████████| 11/11 [00:04<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.16it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.25it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.21it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.43it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.40it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.38it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.68it/s] 100%|██████████| 11/11 [00:04<00:00, 3.13it/s] 100%|██████████| 11/11 [00:04<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.14it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.25it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.22it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.36it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.43it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.42it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.34it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.33it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.08it/s] 100%|██████████| 11/11 [00:04<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.16it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.24it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.34it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.39it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.39it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.33it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.31it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.31it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.62it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.13it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.23it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.23it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.38it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.44it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.33it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.35it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.37it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.10it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.23it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.21it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.45it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.43it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.23it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.28it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.33it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.10it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.20it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.19it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.35it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.41it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.41it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.32it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.33it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.31it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.61it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.1ms Speed: 3.1ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.09it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.14it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.19it/s] 36%|███▋ | 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Finished.