Girl
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, view from below, 1girl, large breasts, slim body, legs, thighs
negative_prompt
Specify things to not see in the output
realistic, 3d, worst, worse, average, score_6, score_5, score_4, signature, source_pony, source_furry, source_cartoon, monochrome, mosaic, censor, white bar, black bar, extra fingers, miss fingers, cum on face,
Detailer
Detailer
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
2
brightness
Adjust brightness
1
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
Euler a
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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.
false
Output
https://files.tungsten.run/uploads/b7e9bc7e6b7048989bfd2ff0730f78ee/output-9ecc91301d024e418336bc4f9ec6a026-00000-3015315820.webp
https://files.tungsten.run/uploads/b90c6051df2c4c35be2d488072aa0853/output-83d79207e1854a99b895d489842fa96b-00001-3015315821.webp
https://files.tungsten.run/uploads/682fb6a7b363408ebe52c02a782b69bb/output-ba6b4eaa26594269ae0d224eb5689673-00002-3015315822.webp
Finished in 56.0 seconds
Using seed 3015315820 Full prompt: score_9, score_8_up, score_7_up, view from below, 1girl, large breasts, slim body, legs, thighs, <lora:add-detail-xl:2.0>, <lora:TLS:1.0> Full negative prompt: realistic, 3d, worst, worse, average, score_6, score_5, score_4, signature, source_pony, source_furry, source_cartoon, monochrome, mosaic, censor, white bar, black bar, extra fingers, miss fingers, cum on face, 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:02<01:02, 2.72s/it] 8%|▊ | 2/24 [00:03<00:36, 1.67s/it] 12%|█▎ | 3/24 [00:04<00:27, 1.32s/it] 17%|█▋ | 4/24 [00:05<00:23, 1.16s/it] 21%|██ | 5/24 [00:06<00:20, 1.07s/it] 25%|██▌ | 6/24 [00:07<00:18, 1.02s/it] 29%|██▉ | 7/24 [00:08<00:16, 1.01it/s] 33%|███▎ | 8/24 [00:09<00:15, 1.03it/s] 38%|███▊ | 9/24 [00:10<00:14, 1.04it/s] 42%|████▏ | 10/24 [00:11<00:13, 1.05it/s] 46%|████▌ | 11/24 [00:11<00:12, 1.05it/s] 50%|█████ | 12/24 [00:12<00:11, 1.06it/s] 54%|█████▍ | 13/24 [00:13<00:10, 1.06it/s] 58%|█████▊ | 14/24 [00:14<00:09, 1.06it/s] 62%|██████▎ | 15/24 [00:15<00:08, 1.06it/s] 67%|██████▋ | 16/24 [00:16<00:07, 1.06it/s] 71%|███████ | 17/24 [00:17<00:06, 1.06it/s] 75%|███████▌ | 18/24 [00:18<00:05, 1.06it/s] 79%|███████▉ | 19/24 [00:19<00:04, 1.05it/s] 83%|████████▎ | 20/24 [00:20<00:03, 1.05it/s] 88%|████████▊ | 21/24 [00:21<00:02, 1.05it/s] 92%|█████████▏| 22/24 [00:22<00:02, 1.01s/it] 96%|█████████▌| 23/24 [00:23<00:00, 1.01it/s] 100%|██████████| 24/24 [00:24<00:00, 1.02it/s] 100%|██████████| 24/24 [00:24<00:00, 1.02s/it] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 159.9ms Speed: 2.9ms preprocess, 159.9ms inference, 28.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.05it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.48it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.65it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.75it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.81it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.85it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.86it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.87it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.88it/s] 91%|█████████ | 10/11 [00:03<00:00, 2.87it/s] 100%|██████████| 11/11 [00:03<00:00, 2.89it/s] 100%|██████████| 11/11 [00:03<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.4ms preprocess, 8.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:03, 2.92it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.90it/s] 27%|██▋ | 3/11 [00:01<00:02, 2.87it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.89it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.91it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.92it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.92it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.92it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.93it/s] 91%|█████████ | 10/11 [00:03<00:00, 2.93it/s] 100%|██████████| 11/11 [00:03<00:00, 2.94it/s] 100%|██████████| 11/11 [00:03<00:00, 2.92it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.5ms Speed: 2.9ms preprocess, 9.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:03, 2.93it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.94it/s] 27%|██▋ | 3/11 [00:01<00:02, 2.89it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.90it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.91it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.92it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.91it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.91it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.82it/s] 91%|█████████ | 10/11 [00:03<00:00, 2.85it/s] 100%|██████████| 11/11 [00:03<00:00, 2.88it/s] 100%|██████████| 11/11 [00:03<00:00, 2.89it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, view from below, 1girl, large breasts, slim body, legs, thighs
negative_prompt
Specify things to not see in the output
realistic, 3d, worst, worse, average, score_6, score_5, score_4, signature, source_pony, source_furry, source_cartoon, monochrome, mosaic, censor, white bar, black bar, extra fingers, miss fingers, cum on face,
Detailer
Detailer
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
2
brightness
Adjust brightness
1
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
Euler a
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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.
false
https://files.tungsten.run/uploads/b7e9bc7e6b7048989bfd2ff0730f78ee/output-9ecc91301d024e418336bc4f9ec6a026-00000-3015315820.webp
https://files.tungsten.run/uploads/b90c6051df2c4c35be2d488072aa0853/output-83d79207e1854a99b895d489842fa96b-00001-3015315821.webp
https://files.tungsten.run/uploads/682fb6a7b363408ebe52c02a782b69bb/output-ba6b4eaa26594269ae0d224eb5689673-00002-3015315822.webp
Finished in 56.0 seconds
Using seed 3015315820 Full prompt: score_9, score_8_up, score_7_up, view from below, 1girl, large breasts, slim body, legs, thighs, <lora:add-detail-xl:2.0>, <lora:TLS:1.0> Full negative prompt: realistic, 3d, worst, worse, average, score_6, score_5, score_4, signature, source_pony, source_furry, source_cartoon, monochrome, mosaic, censor, white bar, black bar, extra fingers, miss fingers, cum on face, 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:02<01:02, 2.72s/it] 8%|▊ | 2/24 [00:03<00:36, 1.67s/it] 12%|█▎ | 3/24 [00:04<00:27, 1.32s/it] 17%|█▋ | 4/24 [00:05<00:23, 1.16s/it] 21%|██ | 5/24 [00:06<00:20, 1.07s/it] 25%|██▌ | 6/24 [00:07<00:18, 1.02s/it] 29%|██▉ | 7/24 [00:08<00:16, 1.01it/s] 33%|███▎ | 8/24 [00:09<00:15, 1.03it/s] 38%|███▊ | 9/24 [00:10<00:14, 1.04it/s] 42%|████▏ | 10/24 [00:11<00:13, 1.05it/s] 46%|████▌ | 11/24 [00:11<00:12, 1.05it/s] 50%|█████ | 12/24 [00:12<00:11, 1.06it/s] 54%|█████▍ | 13/24 [00:13<00:10, 1.06it/s] 58%|█████▊ | 14/24 [00:14<00:09, 1.06it/s] 62%|██████▎ | 15/24 [00:15<00:08, 1.06it/s] 67%|██████▋ | 16/24 [00:16<00:07, 1.06it/s] 71%|███████ | 17/24 [00:17<00:06, 1.06it/s] 75%|███████▌ | 18/24 [00:18<00:05, 1.06it/s] 79%|███████▉ | 19/24 [00:19<00:04, 1.05it/s] 83%|████████▎ | 20/24 [00:20<00:03, 1.05it/s] 88%|████████▊ | 21/24 [00:21<00:02, 1.05it/s] 92%|█████████▏| 22/24 [00:22<00:02, 1.01s/it] 96%|█████████▌| 23/24 [00:23<00:00, 1.01it/s] 100%|██████████| 24/24 [00:24<00:00, 1.02it/s] 100%|██████████| 24/24 [00:24<00:00, 1.02s/it] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 159.9ms Speed: 2.9ms preprocess, 159.9ms inference, 28.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.05it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.48it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.65it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.75it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.81it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.85it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.86it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.87it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.88it/s] 91%|█████████ | 10/11 [00:03<00:00, 2.87it/s] 100%|██████████| 11/11 [00:03<00:00, 2.89it/s] 100%|██████████| 11/11 [00:03<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.4ms preprocess, 8.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:03, 2.92it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.90it/s] 27%|██▋ | 3/11 [00:01<00:02, 2.87it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.89it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.91it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.92it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.92it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.92it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.93it/s] 91%|█████████ | 10/11 [00:03<00:00, 2.93it/s] 100%|██████████| 11/11 [00:03<00:00, 2.94it/s] 100%|██████████| 11/11 [00:03<00:00, 2.92it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.5ms Speed: 2.9ms preprocess, 9.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:03, 2.93it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.94it/s] 27%|██▋ | 3/11 [00:01<00:02, 2.89it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.90it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.91it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.92it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.91it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.91it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.82it/s] 91%|█████████ | 10/11 [00:03<00:00, 2.85it/s] 100%|██████████| 11/11 [00:03<00:00, 2.88it/s] 100%|██████████| 11/11 [00:03<00:00, 2.89it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading files.. Finished.