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Girls at Bed with Furricanes HumanMix
furricanes-humanmix:v1.0
evevalentine2017
evevalentine2017
·
12/15/2023
366
Input
prompt
Specify things to see in the output
((3 legs), ((Puma Swede)), (sensual), (Extremely beautiful), (erotic:1.2), (sublime:1.0), (Extremely sensitive:1.0), (wise and understanding:1.2), (feminine:1.2), (intricate:1.2), (masterpiece), (best quality), Extremely detailed, Hyperrealistic, deep shadows and brilliant highlights, perfect detailed face, (see through), (accentuated curves), slim fit build, perfect thin fit thighs, perfect small butt, perfect small feet, whole body shown, (masterpiece), (highest quality), (large masterpiece photo), (delicate detailed), complex, (complex details), intricate, maximalist, (lifelike details), (lifelike textures), incredibly absurdres, (photorealism, hyperrealism, hyperrealism anime character), (realism, realistic), (beautiful and aesthetic photo), (intricate aesthetic photo), HDR, DSLR, photograph, people photography, professionally color graded, Lens filters, natural lighting, RTX, full color depth, sharp focus, sharp photo, (lifelike skin tone, textured skin, skin pores), (radiant complexion, distinctive facial features, lifelike facial features, lifelike physique), Woman hanging from a bar, ((perfect supermodel figure)), ((small breasts1.7)), (((weared transparent very short oversized strapless nightgown, sleeveless, deep cleavage, spread legs open))), ((short pixie hair, strong makeup, shaved pubes)), (((wearing black stockings))), <lora:add_detail:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <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/2cff75490dbd45ad8420c5a327e12fd8/00000-3868250924.webp
https://files.tungsten.run/uploads/48f9da81b564430c920d5ef3b1d0720a/00001-3868250925.webp
https://files.tungsten.run/uploads/7b0fb4eafd094a2ca8c1032be2cde511/00002-3868250926.webp
https://files.tungsten.run/uploads/b389726e88364ca69e22758dbb4cadb2/00003-3868250927.webp
Finished in 110.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: ((3 legs), ((Puma Swede)), (sensual), (Extremely beautiful), (erotic:1.2), (sublime:1.0), (Extremely sensitive:1.0), (wise and understanding:1.2), (feminine:1.2), (intricate:1.2), (masterpiece), (best quality), Extremely detailed, Hyperrealistic, deep shadows and brilliant highlights, perfect detailed face, (see through), (accentuated curves), slim fit build, perfect thin fit thighs, perfect small butt, perfect small feet, whole body shown, (masterpiece), (highest quality), (large masterpiece photo), (delicate detailed), complex, (complex details), intricate, maximalist, (lifelike details), (lifelike textures), incredibly absurdres, (photorealism, hyperrealism, hyperrealism anime character), (realism, realistic), (beautiful and aesthetic photo), (intricate aesthetic photo), HDR, DSLR, photograph, people photography, professionally color graded, Lens filters, natural lighting, RTX, full color depth, sharp focus, sharp photo, (lifelike skin tone, textured skin, skin pores), (radiant complexion, distinctive facial features, lifelike facial features, lifelike physique), Woman hanging from a bar, ((perfect supermodel figure)), ((small breasts1.7)), (((weared transparent very short oversized strapless nightgown, sleeveless, deep cleavage, spread legs open))), ((short pixie hair, strong makeup, shaved pubes)), (((wearing black stockings))), <lora:FaceBeauty_qinglong_V3:1>, 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 Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.81s/it] 7%|▋ | 2/30 [00:03<00:40, 1.46s/it] 10%|█ | 3/30 [00:04<00:36, 1.36s/it] 13%|█▎ | 4/30 [00:05<00:33, 1.31s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.28s/it] 20%|██ | 6/30 [00:07<00:30, 1.27s/it] 23%|██▎ | 7/30 [00:09<00:28, 1.26s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.25s/it] 30%|███ | 9/30 [00:11<00:26, 1.25s/it] 33%|███▎ | 10/30 [00:12<00:24, 1.25s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.25s/it] 40%|████ | 12/30 [00:15<00:22, 1.25s/it] 43%|████▎ | 13/30 [00:16<00:21, 1.25s/it] 47%|████▋ | 14/30 [00:17<00:19, 1.25s/it] 50%|█████ | 15/30 [00:19<00:18, 1.25s/it] 53%|█████▎ | 16/30 [00:20<00:17, 1.25s/it] 57%|█████▋ | 17/30 [00:21<00:16, 1.24s/it] 60%|██████ | 18/30 [00:22<00:14, 1.25s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.25s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.25s/it] 70%|███████ | 21/30 [00:26<00:11, 1.25s/it] 73%|███████▎ | 22/30 [00:27<00:10, 1.25s/it] 77%|███████▋ | 23/30 [00:29<00:08, 1.25s/it] 80%|████████ | 24/30 [00:30<00:07, 1.25s/it] 83%|████████▎ | 25/30 [00:31<00:06, 1.25s/it] 87%|████████▋ | 26/30 [00:32<00:05, 1.25s/it] 90%|█████████ | 27/30 [00:34<00:03, 1.25s/it] 93%|█████████▎| 28/30 [00:35<00:02, 1.25s/it] 97%|█████████▋| 29/30 [00:36<00:01, 1.25s/it] 100%|██████████| 30/30 [00:37<00:00, 1.07s/it] 100%|██████████| 30/30 [00:37<00:00, 1.24s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 3 faces, 7.6ms Speed: 3.6ms preprocess, 7.6ms inference, 34.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.69it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.08it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.28it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.38it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.44it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.47it/s] 41%|████ | 7/17 [00:02<00:04, 2.49it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.52it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.51it/s] 71%|███████ | 12/17 [00:04<00:01, 2.51it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.52it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.53it/s] 100%|██████████| 17/17 [00:06<00:00, 2.97it/s] 100%|██████████| 17/17 [00:06<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.54it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.53it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.53it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.54it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.53it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.54it/s] 71%|███████ | 12/17 [00:04<00:01, 2.53it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.54it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.55it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.54it/s] 100%|██████████| 17/17 [00:06<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 2.62it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.57it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.56it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.56it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.56it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.55it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.54it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.55it/s] 71%|███████ | 12/17 [00:04<00:01, 2.55it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.53it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.54it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.55it/s] 100%|██████████| 17/17 [00:06<00:00, 2.99it/s] 100%|██████████| 17/17 [00:06<00:00, 2.62it/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: 2.7ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.54it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.56it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.54it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.54it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.54it/s] 41%|████ | 7/17 [00:02<00:03, 2.55it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.53it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.53it/s] 71%|███████ | 12/17 [00:04<00:01, 2.53it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.54it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.55it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.52it/s] 100%|██████████| 17/17 [00:06<00:00, 2.97it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.50it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.55it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.55it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.53it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.51it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.54it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.54it/s] 71%|███████ | 12/17 [00:04<00:01, 2.54it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.55it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.54it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.52it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.52it/s] 100%|██████████| 17/17 [00:06<00:00, 2.97it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.48it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.53it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.54it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.54it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.54it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.55it/s] 41%|████ | 7/17 [00:02<00:03, 2.55it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.55it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.56it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.54it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.54it/s] 71%|███████ | 12/17 [00:04<00:01, 2.53it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.53it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.52it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.53it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.54it/s] 100%|██████████| 17/17 [00:06<00:00, 2.99it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.50it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.52it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.53it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.53it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:03, 2.50it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.50it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.50it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.51it/s] 71%|███████ | 12/17 [00:04<00:01, 2.53it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.53it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.54it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.54it/s] 100%|██████████| 17/17 [00:06<00:00, 2.99it/s] 100%|██████████| 17/17 [00:06<00:00, 2.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.52it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.54it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.52it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.48it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.45it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.44it/s] 41%|████ | 7/17 [00:02<00:04, 2.45it/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, 2.44it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.45it/s] 71%|███████ | 12/17 [00:04<00:02, 2.46it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.48it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.49it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.51it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.50it/s] 100%|██████████| 17/17 [00:06<00:00, 2.95it/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 Finished.
prompt
Specify things to see in the output
((3 legs), ((Puma Swede)), (sensual), (Extremely beautiful), (erotic:1.2), (sublime:1.0), (Extremely sensitive:1.0), (wise and understanding:1.2), (feminine:1.2), (intricate:1.2), (masterpiece), (best quality), Extremely detailed, Hyperrealistic, deep shadows and brilliant highlights, perfect detailed face, (see through), (accentuated curves), slim fit build, perfect thin fit thighs, perfect small butt, perfect small feet, whole body shown, (masterpiece), (highest quality), (large masterpiece photo), (delicate detailed), complex, (complex details), intricate, maximalist, (lifelike details), (lifelike textures), incredibly absurdres, (photorealism, hyperrealism, hyperrealism anime character), (realism, realistic), (beautiful and aesthetic photo), (intricate aesthetic photo), HDR, DSLR, photograph, people photography, professionally color graded, Lens filters, natural lighting, RTX, full color depth, sharp focus, sharp photo, (lifelike skin tone, textured skin, skin pores), (radiant complexion, distinctive facial features, lifelike facial features, lifelike physique), Woman hanging from a bar, ((perfect supermodel figure)), ((small breasts1.7)), (((weared transparent very short oversized strapless nightgown, sleeveless, deep cleavage, spread legs open))), ((short pixie hair, strong makeup, shaved pubes)), (((wearing black stockings))), <lora:add_detail:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <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/2cff75490dbd45ad8420c5a327e12fd8/00000-3868250924.webp
https://files.tungsten.run/uploads/48f9da81b564430c920d5ef3b1d0720a/00001-3868250925.webp
https://files.tungsten.run/uploads/7b0fb4eafd094a2ca8c1032be2cde511/00002-3868250926.webp
https://files.tungsten.run/uploads/b389726e88364ca69e22758dbb4cadb2/00003-3868250927.webp
Finished in 110.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: ((3 legs), ((Puma Swede)), (sensual), (Extremely beautiful), (erotic:1.2), (sublime:1.0), (Extremely sensitive:1.0), (wise and understanding:1.2), (feminine:1.2), (intricate:1.2), (masterpiece), (best quality), Extremely detailed, Hyperrealistic, deep shadows and brilliant highlights, perfect detailed face, (see through), (accentuated curves), slim fit build, perfect thin fit thighs, perfect small butt, perfect small feet, whole body shown, (masterpiece), (highest quality), (large masterpiece photo), (delicate detailed), complex, (complex details), intricate, maximalist, (lifelike details), (lifelike textures), incredibly absurdres, (photorealism, hyperrealism, hyperrealism anime character), (realism, realistic), (beautiful and aesthetic photo), (intricate aesthetic photo), HDR, DSLR, photograph, people photography, professionally color graded, Lens filters, natural lighting, RTX, full color depth, sharp focus, sharp photo, (lifelike skin tone, textured skin, skin pores), (radiant complexion, distinctive facial features, lifelike facial features, lifelike physique), Woman hanging from a bar, ((perfect supermodel figure)), ((small breasts1.7)), (((weared transparent very short oversized strapless nightgown, sleeveless, deep cleavage, spread legs open))), ((short pixie hair, strong makeup, shaved pubes)), (((wearing black stockings))), <lora:FaceBeauty_qinglong_V3:1>, 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 Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.81s/it] 7%|▋ | 2/30 [00:03<00:40, 1.46s/it] 10%|█ | 3/30 [00:04<00:36, 1.36s/it] 13%|█▎ | 4/30 [00:05<00:33, 1.31s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.28s/it] 20%|██ | 6/30 [00:07<00:30, 1.27s/it] 23%|██▎ | 7/30 [00:09<00:28, 1.26s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.25s/it] 30%|███ | 9/30 [00:11<00:26, 1.25s/it] 33%|███▎ | 10/30 [00:12<00:24, 1.25s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.25s/it] 40%|████ | 12/30 [00:15<00:22, 1.25s/it] 43%|████▎ | 13/30 [00:16<00:21, 1.25s/it] 47%|████▋ | 14/30 [00:17<00:19, 1.25s/it] 50%|█████ | 15/30 [00:19<00:18, 1.25s/it] 53%|█████▎ | 16/30 [00:20<00:17, 1.25s/it] 57%|█████▋ | 17/30 [00:21<00:16, 1.24s/it] 60%|██████ | 18/30 [00:22<00:14, 1.25s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.25s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.25s/it] 70%|███████ | 21/30 [00:26<00:11, 1.25s/it] 73%|███████▎ | 22/30 [00:27<00:10, 1.25s/it] 77%|███████▋ | 23/30 [00:29<00:08, 1.25s/it] 80%|████████ | 24/30 [00:30<00:07, 1.25s/it] 83%|████████▎ | 25/30 [00:31<00:06, 1.25s/it] 87%|████████▋ | 26/30 [00:32<00:05, 1.25s/it] 90%|█████████ | 27/30 [00:34<00:03, 1.25s/it] 93%|█████████▎| 28/30 [00:35<00:02, 1.25s/it] 97%|█████████▋| 29/30 [00:36<00:01, 1.25s/it] 100%|██████████| 30/30 [00:37<00:00, 1.07s/it] 100%|██████████| 30/30 [00:37<00:00, 1.24s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 3 faces, 7.6ms Speed: 3.6ms preprocess, 7.6ms inference, 34.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.69it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.08it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.28it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.38it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.44it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.47it/s] 41%|████ | 7/17 [00:02<00:04, 2.49it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.52it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.51it/s] 71%|███████ | 12/17 [00:04<00:01, 2.51it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.52it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.53it/s] 100%|██████████| 17/17 [00:06<00:00, 2.97it/s] 100%|██████████| 17/17 [00:06<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.54it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.53it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.53it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.54it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.53it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.54it/s] 71%|███████ | 12/17 [00:04<00:01, 2.53it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.54it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.55it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.54it/s] 100%|██████████| 17/17 [00:06<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 2.62it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.57it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.56it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.56it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.56it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.55it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.54it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.55it/s] 71%|███████ | 12/17 [00:04<00:01, 2.55it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.53it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.54it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.55it/s] 100%|██████████| 17/17 [00:06<00:00, 2.99it/s] 100%|██████████| 17/17 [00:06<00:00, 2.62it/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: 2.7ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.54it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.56it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.54it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.54it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.54it/s] 41%|████ | 7/17 [00:02<00:03, 2.55it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.53it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.53it/s] 71%|███████ | 12/17 [00:04<00:01, 2.53it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.54it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.55it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.52it/s] 100%|██████████| 17/17 [00:06<00:00, 2.97it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.50it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.55it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.55it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.53it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.51it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.54it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.54it/s] 71%|███████ | 12/17 [00:04<00:01, 2.54it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.55it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.54it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.52it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.52it/s] 100%|██████████| 17/17 [00:06<00:00, 2.97it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.48it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.53it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.54it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.54it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.54it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.55it/s] 41%|████ | 7/17 [00:02<00:03, 2.55it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.55it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.56it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.54it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.54it/s] 71%|███████ | 12/17 [00:04<00:01, 2.53it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.53it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.52it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.53it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.54it/s] 100%|██████████| 17/17 [00:06<00:00, 2.99it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.50it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.52it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.53it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.53it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:03, 2.50it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.50it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.50it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.51it/s] 71%|███████ | 12/17 [00:04<00:01, 2.53it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.53it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.54it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.54it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.54it/s] 100%|██████████| 17/17 [00:06<00:00, 2.99it/s] 100%|██████████| 17/17 [00:06<00:00, 2.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.52it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.54it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.52it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.48it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.45it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.44it/s] 41%|████ | 7/17 [00:02<00:04, 2.45it/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, 2.44it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.45it/s] 71%|███████ | 12/17 [00:04<00:02, 2.46it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.48it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.49it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.51it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.50it/s] 100%|██████████| 17/17 [00:06<00:00, 2.95it/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 Finished.