Version: 1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
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Output
https://files.tungsten.run/uploads/36b657e3be174f92adab93eabaf7551c/00000-273960610.webp
https://files.tungsten.run/uploads/6716c3616bb24cd39cc4c4bc7a6ac735/00001-273960611.webp
https://files.tungsten.run/uploads/94bce4e2117047abaefa773ecae67b6c/00002-273960612.webp
https://files.tungsten.run/uploads/adc1ac9626434f8183f30856d48952af/00003-273960613.webp
This example was created by evevalentine2017
Finished in 158.6 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Two perfect nude 28 year old females with huge breasts and huge hips ((pressing breasts)) together submerged in onsen at night looking at viewer from side, (bikini:1.5), (breast press:1.3), 2girls, <lora:Breast Press V2-000011:0.9> Full negative prompt: ((nude:2)), ((topless:2)), ((nipples:2)), EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:09, 1.78s/it] 5%|▌ | 2/40 [00:03<01:04, 1.70s/it] 8%|▊ | 3/40 [00:05<01:06, 1.80s/it] 10%|█ | 4/40 [00:07<01:06, 1.85s/it] 12%|█▎ | 5/40 [00:09<01:04, 1.85s/it] 15%|█▌ | 6/40 [00:10<01:03, 1.86s/it] 18%|█▊ | 7/40 [00:12<00:59, 1.80s/it] 20%|██ | 8/40 [00:14<00:56, 1.77s/it] 22%|██▎ | 9/40 [00:16<00:56, 1.81s/it] 25%|██▌ | 10/40 [00:18<00:54, 1.80s/it] 28%|██▊ | 11/40 [00:19<00:52, 1.81s/it] 30%|███ | 12/40 [00:21<00:50, 1.80s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.81s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.80s/it] 38%|███▊ | 15/40 [00:27<00:44, 1.80s/it] 40%|████ | 16/40 [00:28<00:42, 1.77s/it] 42%|████▎ | 17/40 [00:30<00:41, 1.78s/it] 45%|████▌ | 18/40 [00:32<00:39, 1.78s/it] 48%|████▊ | 19/40 [00:34<00:37, 1.77s/it] 50%|█████ | 20/40 [00:35<00:34, 1.75s/it] 52%|█████▎ | 21/40 [00:37<00:32, 1.70s/it] 55%|█████▌ | 22/40 [00:39<00:30, 1.70s/it] 57%|█████▊ | 23/40 [00:40<00:29, 1.71s/it] 60%|██████ | 24/40 [00:42<00:27, 1.69s/it] 62%|██████▎ | 25/40 [00:44<00:24, 1.66s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.71s/it] 68%|██████▊ | 27/40 [00:47<00:22, 1.70s/it] 70%|███████ | 28/40 [00:49<00:20, 1.72s/it] 72%|███████▎ | 29/40 [00:50<00:18, 1.64s/it] 75%|███████▌ | 30/40 [00:52<00:16, 1.65s/it] 78%|███████▊ | 31/40 [00:54<00:14, 1.66s/it] 80%|████████ | 32/40 [00:55<00:12, 1.59s/it] 82%|████████▎ | 33/40 [00:57<00:11, 1.60s/it] 85%|████████▌ | 34/40 [00:58<00:09, 1.54s/it] 88%|████████▊ | 35/40 [01:00<00:07, 1.58s/it] 90%|█████████ | 36/40 [01:01<00:06, 1.55s/it] 92%|█████████▎| 37/40 [01:03<00:04, 1.53s/it] 95%|█████████▌| 38/40 [01:04<00:02, 1.47s/it] 98%|█████████▊| 39/40 [01:05<00:01, 1.27s/it] 100%|██████████| 40/40 [01:05<00:00, 1.08s/it] 100%|██████████| 40/40 [01:05<00:00, 1.65s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.05it/s] 9%|▊ | 2/23 [00:00<00:10, 2.00it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.07it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.09it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.09it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.11it/s] 30%|███ | 7/23 [00:03<00:07, 2.11it/s] 35%|███▍ | 8/23 [00:03<00:07, 2.14it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.07it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.10it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.10it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.21it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.21it/s] 61%|██████ | 14/23 [00:06<00:04, 2.21it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.29it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.43it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.77it/s] 100%|██████████| 23/23 [00:09<00:00, 3.20it/s] 100%|██████████| 23/23 [00:09<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.11it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.13it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.12it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.11it/s] 30%|███ | 7/23 [00:03<00:07, 2.12it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.15it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.09it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.13it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.10it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.18it/s] 61%|██████ | 14/23 [00:06<00:04, 2.18it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.36it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.29it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.22it/s] 100%|██████████| 23/23 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.09it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.12it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.20it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.11it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.08it/s] 30%|███ | 7/23 [00:03<00:07, 2.12it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.17it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.11it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.11it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.10it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.18it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.16it/s] 61%|██████ | 14/23 [00:06<00:04, 2.14it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.21it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.18it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.27it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.19it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.27it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.32it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.38it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.73it/s] 100%|██████████| 23/23 [00:10<00:00, 3.14it/s] 100%|██████████| 23/23 [00:10<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.04it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.10it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.15it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.14it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.12it/s] 30%|███ | 7/23 [00:03<00:07, 2.15it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.18it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.11it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.13it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.11it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.21it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.18it/s] 61%|██████ | 14/23 [00:06<00:04, 2.18it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.25it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.24it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.33it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.25it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.32it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.33it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.41it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.76it/s] 100%|██████████| 23/23 [00:09<00:00, 3.19it/s] 100%|██████████| 23/23 [00:09<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.07it/s] 9%|▊ | 2/23 [00:00<00:10, 2.04it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.08it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.18it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.17it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.19it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.17it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.26it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.34it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.20it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.01it/s] 9%|▊ | 2/23 [00:00<00:10, 2.07it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.10it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.17it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.20it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.16it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.14it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.26it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.34it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.23it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:10, 2.09it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.15it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.23it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.21it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.19it/s] 30%|███ | 7/23 [00:03<00:07, 2.22it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.26it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.20it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.20it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s] 61%|██████ | 14/23 [00:06<00:04, 2.23it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.29it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.36it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.49it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.17it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.07it/s] 9%|▊ | 2/23 [00:00<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.13it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.16it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.16it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.10it/s] 30%|███ | 7/23 [00:03<00:07, 2.15it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.17it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.11it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.10it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.11it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.21it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.20it/s] 61%|██████ | 14/23 [00:06<00:04, 2.20it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.18it/s] 100%|██████████| 23/23 [00:09<00:00, 2.34it/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
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
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https://files.tungsten.run/uploads/36b657e3be174f92adab93eabaf7551c/00000-273960610.webp
https://files.tungsten.run/uploads/6716c3616bb24cd39cc4c4bc7a6ac735/00001-273960611.webp
https://files.tungsten.run/uploads/94bce4e2117047abaefa773ecae67b6c/00002-273960612.webp
https://files.tungsten.run/uploads/adc1ac9626434f8183f30856d48952af/00003-273960613.webp
This example was created by evevalentine2017
Finished in 158.6 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Two perfect nude 28 year old females with huge breasts and huge hips ((pressing breasts)) together submerged in onsen at night looking at viewer from side, (bikini:1.5), (breast press:1.3), 2girls, <lora:Breast Press V2-000011:0.9> Full negative prompt: ((nude:2)), ((topless:2)), ((nipples:2)), EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:09, 1.78s/it] 5%|▌ | 2/40 [00:03<01:04, 1.70s/it] 8%|▊ | 3/40 [00:05<01:06, 1.80s/it] 10%|█ | 4/40 [00:07<01:06, 1.85s/it] 12%|█▎ | 5/40 [00:09<01:04, 1.85s/it] 15%|█▌ | 6/40 [00:10<01:03, 1.86s/it] 18%|█▊ | 7/40 [00:12<00:59, 1.80s/it] 20%|██ | 8/40 [00:14<00:56, 1.77s/it] 22%|██▎ | 9/40 [00:16<00:56, 1.81s/it] 25%|██▌ | 10/40 [00:18<00:54, 1.80s/it] 28%|██▊ | 11/40 [00:19<00:52, 1.81s/it] 30%|███ | 12/40 [00:21<00:50, 1.80s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.81s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.80s/it] 38%|███▊ | 15/40 [00:27<00:44, 1.80s/it] 40%|████ | 16/40 [00:28<00:42, 1.77s/it] 42%|████▎ | 17/40 [00:30<00:41, 1.78s/it] 45%|████▌ | 18/40 [00:32<00:39, 1.78s/it] 48%|████▊ | 19/40 [00:34<00:37, 1.77s/it] 50%|█████ | 20/40 [00:35<00:34, 1.75s/it] 52%|█████▎ | 21/40 [00:37<00:32, 1.70s/it] 55%|█████▌ | 22/40 [00:39<00:30, 1.70s/it] 57%|█████▊ | 23/40 [00:40<00:29, 1.71s/it] 60%|██████ | 24/40 [00:42<00:27, 1.69s/it] 62%|██████▎ | 25/40 [00:44<00:24, 1.66s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.71s/it] 68%|██████▊ | 27/40 [00:47<00:22, 1.70s/it] 70%|███████ | 28/40 [00:49<00:20, 1.72s/it] 72%|███████▎ | 29/40 [00:50<00:18, 1.64s/it] 75%|███████▌ | 30/40 [00:52<00:16, 1.65s/it] 78%|███████▊ | 31/40 [00:54<00:14, 1.66s/it] 80%|████████ | 32/40 [00:55<00:12, 1.59s/it] 82%|████████▎ | 33/40 [00:57<00:11, 1.60s/it] 85%|████████▌ | 34/40 [00:58<00:09, 1.54s/it] 88%|████████▊ | 35/40 [01:00<00:07, 1.58s/it] 90%|█████████ | 36/40 [01:01<00:06, 1.55s/it] 92%|█████████▎| 37/40 [01:03<00:04, 1.53s/it] 95%|█████████▌| 38/40 [01:04<00:02, 1.47s/it] 98%|█████████▊| 39/40 [01:05<00:01, 1.27s/it] 100%|██████████| 40/40 [01:05<00:00, 1.08s/it] 100%|██████████| 40/40 [01:05<00:00, 1.65s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.05it/s] 9%|▊ | 2/23 [00:00<00:10, 2.00it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.07it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.09it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.09it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.11it/s] 30%|███ | 7/23 [00:03<00:07, 2.11it/s] 35%|███▍ | 8/23 [00:03<00:07, 2.14it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.07it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.10it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.10it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.21it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.21it/s] 61%|██████ | 14/23 [00:06<00:04, 2.21it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.29it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.43it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.77it/s] 100%|██████████| 23/23 [00:09<00:00, 3.20it/s] 100%|██████████| 23/23 [00:09<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.11it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.13it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.12it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.11it/s] 30%|███ | 7/23 [00:03<00:07, 2.12it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.15it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.09it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.13it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.10it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.18it/s] 61%|██████ | 14/23 [00:06<00:04, 2.18it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.36it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.29it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.22it/s] 100%|██████████| 23/23 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.09it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.12it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.20it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.11it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.08it/s] 30%|███ | 7/23 [00:03<00:07, 2.12it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.17it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.11it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.11it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.10it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.18it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.16it/s] 61%|██████ | 14/23 [00:06<00:04, 2.14it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.21it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.18it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.27it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.19it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.27it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.32it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.38it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.73it/s] 100%|██████████| 23/23 [00:10<00:00, 3.14it/s] 100%|██████████| 23/23 [00:10<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.04it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.10it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.15it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.14it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.12it/s] 30%|███ | 7/23 [00:03<00:07, 2.15it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.18it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.11it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.13it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.11it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.21it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.18it/s] 61%|██████ | 14/23 [00:06<00:04, 2.18it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.25it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.24it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.33it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.25it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.32it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.33it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.41it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.76it/s] 100%|██████████| 23/23 [00:09<00:00, 3.19it/s] 100%|██████████| 23/23 [00:09<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.07it/s] 9%|▊ | 2/23 [00:00<00:10, 2.04it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.08it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.18it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.17it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.19it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.17it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.26it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.34it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.20it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.01it/s] 9%|▊ | 2/23 [00:00<00:10, 2.07it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.10it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.17it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.20it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.16it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.14it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.26it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.34it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.23it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:10, 2.09it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.15it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.23it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.21it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.19it/s] 30%|███ | 7/23 [00:03<00:07, 2.22it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.26it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.20it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.20it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s] 61%|██████ | 14/23 [00:06<00:04, 2.23it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.29it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.36it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.49it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.17it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.07it/s] 9%|▊ | 2/23 [00:00<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.13it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.16it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.16it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.10it/s] 30%|███ | 7/23 [00:03<00:07, 2.15it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.17it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.11it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.10it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.11it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.21it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.20it/s] 61%|██████ | 14/23 [00:06<00:04, 2.20it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.18it/s] 100%|██████████| 23/23 [00:09<00:00, 2.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.