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Woman in Shiny Suit with Furricanes HumanMix
furricanes-humanmix:v1.0
evevalentine2017
evevalentine2017
·
12/15/2023
391
Input
prompt
Specify things to see in the output
Glamorous stylish portrait of Red Light District, Quality: (edgQuality:1.2), (8k, best quality, realistic, intricate details, ultra high res, photorealistic, masterpiece, extremely detailed, cinematic light, Unreal Engine:1.4), (ultra realistic 8k cg, uhd, sharp focus, digital art:1.0), Object: cr8, 1girl, fakelips7-2500, FaceDetail, SkinDetail, HairDetail, EyeDetail, HandDetail, big eyes, (stunning makeup:1.5), (Frosted Apricot Almond Dutch braids:1.4), big earrings, (tanned skin, detailed hair, smooth skin, oiled skin, shiny skin, young:1.4), Outfit:(random/color Iridescent Catsuit, random/accesoires-nsfw:1.5), (mother of pearl, glossy, tight, neon:1.3), (in the lounge:1.3), lying on side with raised leg, lying on the side with a raised leg, creating an intimate and captivating pose, from top, (red light, red neon light), dramatic makeup and lighting, elegant jewelry and fashion, poised, high society, luxury, extravagant, <lora:add_detail:0.8>, shiny skin
negative_prompt
Specify things to not see in the output
nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegativeV2, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella
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
false
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
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3868250924
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
Restart
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
GTS.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/98240d27c4cf4778bc2a8c13aaafb80b/00000-3868250924.webp
https://files.tungsten.run/uploads/ced16ac2dc2449aaa1921eae0adc5eaf/00001-3868250925.webp
https://files.tungsten.run/uploads/02060f176f774e4cab315bb70e42541b/00002-3868250926.webp
https://files.tungsten.run/uploads/2082cd1deb2b481fabadf2c3f68f76e3/00003-3868250927.webp
Finished in 101.3 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: Glamorous stylish portrait of Red Light District, Quality: (edgQuality:1.2), (8k, best quality, realistic, intricate details, ultra high res, photorealistic, masterpiece, extremely detailed, cinematic light, Unreal Engine:1.4), (ultra realistic 8k cg, uhd, sharp focus, digital art:1.0), Object: cr8, 1girl, fakelips7-2500, FaceDetail, SkinDetail, HairDetail, EyeDetail, HandDetail, big eyes, (stunning makeup:1.5), (Frosted Apricot Almond Dutch braids:1.4), big earrings, (tanned skin, detailed hair, smooth skin, oiled skin, shiny skin, young:1.4), Outfit:(random/color Iridescent Catsuit, random/accesoires-nsfw:1.5), (mother of pearl, glossy, tight, neon:1.3), (in the lounge:1.3), lying on side with raised leg, lying on the side with a raised leg, creating an intimate and captivating pose, from top, (red light, red neon light), dramatic makeup and lighting, elegant jewelry and fashion, poised, high society, luxury, extravagant, shiny skin, <lora:add_detail:0.1> Full negative prompt: nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegativeV2, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:53, 1.86s/it] 7%|▋ | 2/30 [00:03<00:41, 1.49s/it] 10%|█ | 3/30 [00:04<00:37, 1.38s/it] 13%|█▎ | 4/30 [00:05<00:34, 1.32s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.30s/it] 20%|██ | 6/30 [00:08<00:30, 1.28s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.27s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.26s/it] 30%|███ | 9/30 [00:11<00:26, 1.26s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.26s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.26s/it] 40%|████ | 12/30 [00:15<00:22, 1.25s/it] 43%|████▎ | 13/30 [00:16<00:21, 1.25s/it] 47%|████▋ | 14/30 [00:18<00:20, 1.25s/it] 50%|█████ | 15/30 [00:19<00:18, 1.26s/it] 53%|█████▎ | 16/30 [00:20<00:17, 1.26s/it] 57%|█████▋ | 17/30 [00:21<00:16, 1.26s/it] 60%|██████ | 18/30 [00:23<00:15, 1.26s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.26s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.26s/it] 70%|███████ | 21/30 [00:26<00:11, 1.26s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.26s/it] 77%|███████▋ | 23/30 [00:29<00:08, 1.26s/it] 80%|████████ | 24/30 [00:30<00:07, 1.26s/it] 83%|████████▎ | 25/30 [00:31<00:06, 1.26s/it] 87%|████████▋ | 26/30 [00:33<00:05, 1.26s/it] 90%|█████████ | 27/30 [00:34<00:03, 1.26s/it] 93%|█████████▎| 28/30 [00:35<00:02, 1.26s/it] 97%|█████████▋| 29/30 [00:37<00:01, 1.26s/it] 100%|██████████| 30/30 [00:37<00:00, 1.07s/it] 100%|██████████| 30/30 [00:37<00:00, 1.25s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 3.2ms preprocess, 8.0ms inference, 32.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.61it/s] 12%|█▏ | 2/17 [00:01<00:07, 2.04it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.39it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.43it/s] 41%|████ | 7/17 [00:03<00:04, 2.45it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.47it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.48it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.47it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.48it/s] 71%|███████ | 12/17 [00:05<00:02, 2.48it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.47it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.48it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.49it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.49it/s] 100%|██████████| 17/17 [00:06<00:00, 2.93it/s] 100%|██████████| 17/17 [00:06<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 3 faces, 7.7ms Speed: 2.8ms preprocess, 7.7ms 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, 2.50it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.49it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.50it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.50it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.50it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.49it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.47it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.47it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.47it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.47it/s] 71%|███████ | 12/17 [00:04<00:02, 2.48it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.49it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.49it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.49it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.48it/s] 100%|██████████| 17/17 [00:06<00:00, 2.87it/s] 100%|██████████| 17/17 [00:06<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.40it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.41it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.40it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.42it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.43it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.41it/s] 41%|████ | 7/17 [00:02<00:04, 2.43it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.44it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.43it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.42it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.42it/s] 71%|███████ | 12/17 [00:04<00:02, 2.41it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.42it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.43it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.45it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.45it/s] 100%|██████████| 17/17 [00:06<00:00, 2.89it/s] 100%|██████████| 17/17 [00:06<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.43it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.44it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.45it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.46it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.45it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.42it/s] 41%|████ | 7/17 [00:02<00:04, 2.36it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.41it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.44it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.46it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.47it/s] 71%|███████ | 12/17 [00:04<00:02, 2.47it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.48it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.46it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.47it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.45it/s] 100%|██████████| 17/17 [00:06<00:00, 2.89it/s] 100%|██████████| 17/17 [00:06<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.49it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.46it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.47it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.48it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.48it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.48it/s] 41%|████ | 7/17 [00:02<00:04, 2.47it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.47it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.47it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.46it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.47it/s] 71%|███████ | 12/17 [00:04<00:02, 2.47it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.45it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.47it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.47it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.48it/s] 100%|██████████| 17/17 [00:06<00:00, 2.93it/s] 100%|██████████| 17/17 [00:06<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.47it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.47it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.48it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.49it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.47it/s] 41%|████ | 7/17 [00:02<00:04, 2.44it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.45it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.44it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.45it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.46it/s] 71%|███████ | 12/17 [00:04<00:02, 2.46it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.47it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.47it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.47it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.48it/s] 100%|██████████| 17/17 [00:06<00:00, 2.90it/s] 100%|██████████| 17/17 [00:06<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.50it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.51it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.45it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.45it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.46it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.47it/s] 41%|████ | 7/17 [00:02<00:04, 2.47it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.48it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.48it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.47it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.47it/s] 71%|███████ | 12/17 [00:04<00:02, 2.47it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.46it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.46it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.46it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.48it/s] 100%|██████████| 17/17 [00:06<00:00, 2.91it/s] 100%|██████████| 17/17 [00:06<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
Glamorous stylish portrait of Red Light District, Quality: (edgQuality:1.2), (8k, best quality, realistic, intricate details, ultra high res, photorealistic, masterpiece, extremely detailed, cinematic light, Unreal Engine:1.4), (ultra realistic 8k cg, uhd, sharp focus, digital art:1.0), Object: cr8, 1girl, fakelips7-2500, FaceDetail, SkinDetail, HairDetail, EyeDetail, HandDetail, big eyes, (stunning makeup:1.5), (Frosted Apricot Almond Dutch braids:1.4), big earrings, (tanned skin, detailed hair, smooth skin, oiled skin, shiny skin, young:1.4), Outfit:(random/color Iridescent Catsuit, random/accesoires-nsfw:1.5), (mother of pearl, glossy, tight, neon:1.3), (in the lounge:1.3), lying on side with raised leg, lying on the side with a raised leg, creating an intimate and captivating pose, from top, (red light, red neon light), dramatic makeup and lighting, elegant jewelry and fashion, poised, high society, luxury, extravagant, <lora:add_detail:0.8>, shiny skin
negative_prompt
Specify things to not see in the output
nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegativeV2, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella
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
false
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
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3868250924
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
Restart
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
GTS.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/98240d27c4cf4778bc2a8c13aaafb80b/00000-3868250924.webp
https://files.tungsten.run/uploads/ced16ac2dc2449aaa1921eae0adc5eaf/00001-3868250925.webp
https://files.tungsten.run/uploads/02060f176f774e4cab315bb70e42541b/00002-3868250926.webp
https://files.tungsten.run/uploads/2082cd1deb2b481fabadf2c3f68f76e3/00003-3868250927.webp
Finished in 101.3 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: Glamorous stylish portrait of Red Light District, Quality: (edgQuality:1.2), (8k, best quality, realistic, intricate details, ultra high res, photorealistic, masterpiece, extremely detailed, cinematic light, Unreal Engine:1.4), (ultra realistic 8k cg, uhd, sharp focus, digital art:1.0), Object: cr8, 1girl, fakelips7-2500, FaceDetail, SkinDetail, HairDetail, EyeDetail, HandDetail, big eyes, (stunning makeup:1.5), (Frosted Apricot Almond Dutch braids:1.4), big earrings, (tanned skin, detailed hair, smooth skin, oiled skin, shiny skin, young:1.4), Outfit:(random/color Iridescent Catsuit, random/accesoires-nsfw:1.5), (mother of pearl, glossy, tight, neon:1.3), (in the lounge:1.3), lying on side with raised leg, lying on the side with a raised leg, creating an intimate and captivating pose, from top, (red light, red neon light), dramatic makeup and lighting, elegant jewelry and fashion, poised, high society, luxury, extravagant, shiny skin, <lora:add_detail:0.1> Full negative prompt: nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegativeV2, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:53, 1.86s/it] 7%|▋ | 2/30 [00:03<00:41, 1.49s/it] 10%|█ | 3/30 [00:04<00:37, 1.38s/it] 13%|█▎ | 4/30 [00:05<00:34, 1.32s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.30s/it] 20%|██ | 6/30 [00:08<00:30, 1.28s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.27s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.26s/it] 30%|███ | 9/30 [00:11<00:26, 1.26s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.26s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.26s/it] 40%|████ | 12/30 [00:15<00:22, 1.25s/it] 43%|████▎ | 13/30 [00:16<00:21, 1.25s/it] 47%|████▋ | 14/30 [00:18<00:20, 1.25s/it] 50%|█████ | 15/30 [00:19<00:18, 1.26s/it] 53%|█████▎ | 16/30 [00:20<00:17, 1.26s/it] 57%|█████▋ | 17/30 [00:21<00:16, 1.26s/it] 60%|██████ | 18/30 [00:23<00:15, 1.26s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.26s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.26s/it] 70%|███████ | 21/30 [00:26<00:11, 1.26s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.26s/it] 77%|███████▋ | 23/30 [00:29<00:08, 1.26s/it] 80%|████████ | 24/30 [00:30<00:07, 1.26s/it] 83%|████████▎ | 25/30 [00:31<00:06, 1.26s/it] 87%|████████▋ | 26/30 [00:33<00:05, 1.26s/it] 90%|█████████ | 27/30 [00:34<00:03, 1.26s/it] 93%|█████████▎| 28/30 [00:35<00:02, 1.26s/it] 97%|█████████▋| 29/30 [00:37<00:01, 1.26s/it] 100%|██████████| 30/30 [00:37<00:00, 1.07s/it] 100%|██████████| 30/30 [00:37<00:00, 1.25s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 3.2ms preprocess, 8.0ms inference, 32.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.61it/s] 12%|█▏ | 2/17 [00:01<00:07, 2.04it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 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[00:04<00:02, 2.47it/s] 71%|███████ | 12/17 [00:04<00:02, 2.47it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.48it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.46it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.47it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.45it/s] 100%|██████████| 17/17 [00:06<00:00, 2.89it/s] 100%|██████████| 17/17 [00:06<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.49it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.46it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.47it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.48it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.48it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.48it/s] 41%|████ | 7/17 [00:02<00:04, 2.47it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.47it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.47it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.46it/s] 65%|██████▍ | 11/17 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14/17 [00:05<00:01, 2.47it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.47it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.48it/s] 100%|██████████| 17/17 [00:06<00:00, 2.90it/s] 100%|██████████| 17/17 [00:06<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.50it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.51it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.45it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.45it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.46it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.47it/s] 41%|████ | 7/17 [00:02<00:04, 2.47it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.48it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.48it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.47it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.47it/s] 71%|███████ | 12/17 [00:04<00:02, 2.47it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.46it/s] 82%|████████▏ | 14/17 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