tungsten-logo
Sign In
Meeting the Empress with Noosphere
noosphere:v3
evevalentine2017
evevalentine2017
·
12/08/2023
381
Input
prompt
Specify things to see in the output
(Masterpiece:1.2), best quality, (illustration:1.2), (ultra-detailed), hyper details, (delicate detailed),(focus on panties), lace stockings, (intricate details), (cinematic light, best quality Backlights), clear line, from below, solo female, perfect body, (1girl), white hair, glowing yellow eyes, (emperor, black see-through clothes), from below, looking down, looking at the viewer, (crown:1.1), sitting on Throne, slightly close eyes, looking downward, turn head, ( shy:1.2), ((makeup)), high contrast, (best illumination, an extremely delicate and beautiful), ((cinematic light))
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1980071149
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
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
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/095f93b23d864470b70808221124412c/00000-1980071149.png
https://files.tungsten.run/uploads/4249a1f6077a4ac9a861da4725639130/00001-1980071150.png
https://files.tungsten.run/uploads/0e2ec5d719f747938c7500a3daac4a3c/00002-1980071151.png
https://files.tungsten.run/uploads/e6dabfa254a64dd1b1e0ec89b3b19f50/00003-1980071152.png
Finished in 76.3 seconds
Preparing inputs... Processing... Full prompt: (Masterpiece:1.2), best quality, (illustration:1.2), (ultra-detailed), hyper details, (delicate detailed),(focus on panties), lace stockings, (intricate details), (cinematic light, best quality Backlights), clear line, from below, solo female, perfect body, (1girl), white hair, glowing yellow eyes, (emperor, black see-through clothes), from below, looking down, looking at the viewer, (crown:1.1), sitting on Throne, slightly close eyes, looking downward, turn head, ( shy:1.2), ((makeup)), high contrast, (best illumination, an extremely delicate and beautiful), ((cinematic light)), (best quality:1.5), (masterpiece:1.5) Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.59it/s] 7%|▋ | 2/30 [00:01<00:18, 1.53it/s] 10%|█ | 3/30 [00:01<00:17, 1.54it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.52it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.51it/s] 20%|██ | 6/30 [00:03<00:15, 1.52it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.52it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.51it/s] 30%|███ | 9/30 [00:05<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.51it/s] 40%|████ | 12/30 [00:07<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:09<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:11<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:13<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.51it/s] 80%|████████ | 24/30 [00:15<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.51it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.51it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.51it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.51it/s] 100%|██████████| 30/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.01s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.83it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.80it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.85it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.88it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.65it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.68it/s] 41%|████ | 7/17 [00:01<00:02, 4.76it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.82it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.85it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.79it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.86it/s] 71%|███████ | 12/17 [00:02<00:01, 4.90it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.91it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.94it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.83it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.88it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.84it/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<00:03, 4.91it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.91it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.81it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.86it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.86it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.90it/s] 41%|████ | 7/17 [00:01<00:02, 4.91it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.82it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.83it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.86it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.87it/s] 71%|███████ | 12/17 [00:02<00:01, 4.86it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.72it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.75it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.78it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.79it/s] 100%|██████████| 17/17 [00:03<00:00, 4.81it/s] 100%|██████████| 17/17 [00:03<00:00, 4.83it/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<00:03, 4.87it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.89it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.87it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.88it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.91it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.95it/s] 41%|████ | 7/17 [00:01<00:02, 4.96it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.87it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.86it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.86it/s] 71%|███████ | 12/17 [00:02<00:01, 4.87it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.63it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.70it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.78it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.84it/s] 100%|██████████| 17/17 [00:03<00:00, 4.88it/s] 100%|██████████| 17/17 [00:03<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.70it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.76it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.87it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.92it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.95it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.95it/s] 41%|████ | 7/17 [00:01<00:02, 4.97it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.98it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.98it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.93it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.96it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.97it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.97it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.88it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.91it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.96it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.83it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.89it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.95it/s] 41%|████ | 7/17 [00:01<00:02, 4.92it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.92it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.94it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.94it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.94it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.93it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.88it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.86it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/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<00:03, 4.95it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.92it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.94it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.90it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.93it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.95it/s] 41%|████ | 7/17 [00:01<00:02, 4.97it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.99it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.83it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.85it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.87it/s] 71%|███████ | 12/17 [00:02<00:01, 4.91it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.94it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.88it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.92it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/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<00:03, 4.79it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.83it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.81it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.85it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.88it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.87it/s] 41%|████ | 7/17 [00:01<00:02, 4.85it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.88it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.91it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.93it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.92it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.90it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.84it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.84it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.68it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.80it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.84it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.89it/s] 41%|████ | 7/17 [00:01<00:02, 4.92it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.95it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.93it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.95it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.96it/s] 71%|███████ | 12/17 [00:02<00:01, 4.88it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.87it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.85it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.87it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.87it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.88it/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<00:03, 4.97it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.97it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.98it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.96it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.90it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.91it/s] 41%|████ | 7/17 [00:01<00:02, 4.92it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.93it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.94it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.94it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.94it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.96it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.98it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.99it/s] 94%|█████████▍| 16/17 [00:03<00:00, 5.00it/s] 100%|██████████| 17/17 [00:03<00:00, 4.99it/s] 100%|██████████| 17/17 [00:03<00:00, 4.96it/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<00:03, 5.04it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.96it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.99it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.98it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.91it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.91it/s] 41%|████ | 7/17 [00:01<00:02, 4.84it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.89it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.92it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.78it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.84it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.89it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.92it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.88it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/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<00:03, 4.89it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.89it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.88it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.89it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.68it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.75it/s] 41%|████ | 7/17 [00:01<00:02, 4.83it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.88it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.90it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.91it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.96it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.97it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.98it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.99it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.97it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/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<00:03, 4.81it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.89it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.94it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.92it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.82it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.85it/s] 41%|████ | 7/17 [00:01<00:02, 4.89it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.90it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.89it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.92it/s] 71%|███████ | 12/17 [00:02<00:01, 4.92it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.96it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.90it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.88it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(Masterpiece:1.2), best quality, (illustration:1.2), (ultra-detailed), hyper details, (delicate detailed),(focus on panties), lace stockings, (intricate details), (cinematic light, best quality Backlights), clear line, from below, solo female, perfect body, (1girl), white hair, glowing yellow eyes, (emperor, black see-through clothes), from below, looking down, looking at the viewer, (crown:1.1), sitting on Throne, slightly close eyes, looking downward, turn head, ( shy:1.2), ((makeup)), high contrast, (best illumination, an extremely delicate and beautiful), ((cinematic light))
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1980071149
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
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
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/095f93b23d864470b70808221124412c/00000-1980071149.png
https://files.tungsten.run/uploads/4249a1f6077a4ac9a861da4725639130/00001-1980071150.png
https://files.tungsten.run/uploads/0e2ec5d719f747938c7500a3daac4a3c/00002-1980071151.png
https://files.tungsten.run/uploads/e6dabfa254a64dd1b1e0ec89b3b19f50/00003-1980071152.png
Finished in 76.3 seconds
Preparing inputs... Processing... Full prompt: (Masterpiece:1.2), best quality, (illustration:1.2), (ultra-detailed), hyper details, (delicate detailed),(focus on panties), lace stockings, (intricate details), (cinematic light, best quality Backlights), clear line, from below, solo female, perfect body, (1girl), white hair, glowing yellow eyes, (emperor, black see-through clothes), from below, looking down, looking at the viewer, (crown:1.1), sitting on Throne, slightly close eyes, looking downward, turn head, ( shy:1.2), ((makeup)), high contrast, (best illumination, an extremely delicate and beautiful), ((cinematic light)), (best quality:1.5), (masterpiece:1.5) Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.59it/s] 7%|▋ | 2/30 [00:01<00:18, 1.53it/s] 10%|█ | 3/30 [00:01<00:17, 1.54it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.52it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.51it/s] 20%|██ | 6/30 [00:03<00:15, 1.52it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.52it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.51it/s] 30%|███ | 9/30 [00:05<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.51it/s] 40%|████ | 12/30 [00:07<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:09<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:11<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:13<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.51it/s] 80%|████████ | 24/30 [00:15<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.51it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.51it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.51it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.51it/s] 100%|██████████| 30/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.01s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.83it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.80it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.85it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.88it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.65it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.68it/s] 41%|████ | 7/17 [00:01<00:02, 4.76it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.82it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.85it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.79it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.86it/s] 71%|███████ | 12/17 [00:02<00:01, 4.90it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.91it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.94it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.83it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.88it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.84it/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<00:03, 4.91it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.91it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.81it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.86it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.86it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.90it/s] 41%|████ | 7/17 [00:01<00:02, 4.91it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.82it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.83it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.86it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.87it/s] 71%|███████ | 12/17 [00:02<00:01, 4.86it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.72it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.75it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.78it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.79it/s] 100%|██████████| 17/17 [00:03<00:00, 4.81it/s] 100%|██████████| 17/17 [00:03<00:00, 4.83it/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<00:03, 4.87it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.89it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.87it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.88it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.91it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.95it/s] 41%|████ | 7/17 [00:01<00:02, 4.96it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.87it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.86it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.86it/s] 71%|███████ | 12/17 [00:02<00:01, 4.87it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.63it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.70it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.78it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.84it/s] 100%|██████████| 17/17 [00:03<00:00, 4.88it/s] 100%|██████████| 17/17 [00:03<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.70it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.76it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.87it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.92it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.95it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.95it/s] 41%|████ | 7/17 [00:01<00:02, 4.97it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.98it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.98it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.93it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.96it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.97it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.97it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.88it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.91it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.96it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.83it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.89it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.95it/s] 41%|████ | 7/17 [00:01<00:02, 4.92it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.92it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.94it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.94it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.94it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.93it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.88it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.86it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/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<00:03, 4.95it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.92it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.94it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.90it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.93it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.95it/s] 41%|████ | 7/17 [00:01<00:02, 4.97it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.99it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.83it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.85it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.87it/s] 71%|███████ | 12/17 [00:02<00:01, 4.91it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.94it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.88it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.92it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/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<00:03, 4.79it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.83it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.81it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.85it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.88it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.87it/s] 41%|████ | 7/17 [00:01<00:02, 4.85it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.88it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.91it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.93it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.92it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.90it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.84it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.84it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.68it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.80it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.84it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.89it/s] 41%|████ | 7/17 [00:01<00:02, 4.92it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.95it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.93it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.95it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.96it/s] 71%|███████ | 12/17 [00:02<00:01, 4.88it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.87it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.85it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.87it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.87it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.88it/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<00:03, 4.97it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.97it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.98it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.96it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.90it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.91it/s] 41%|████ | 7/17 [00:01<00:02, 4.92it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.93it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.94it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.94it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.94it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.96it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.98it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.99it/s] 94%|█████████▍| 16/17 [00:03<00:00, 5.00it/s] 100%|██████████| 17/17 [00:03<00:00, 4.99it/s] 100%|██████████| 17/17 [00:03<00:00, 4.96it/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<00:03, 5.04it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.96it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.99it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.98it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.91it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.91it/s] 41%|████ | 7/17 [00:01<00:02, 4.84it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.89it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.92it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.78it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.84it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.89it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.92it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.88it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/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<00:03, 4.89it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.89it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.88it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.89it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.68it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.75it/s] 41%|████ | 7/17 [00:01<00:02, 4.83it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.88it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.90it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.91it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.96it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.97it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.98it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.99it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.97it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/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<00:03, 4.81it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.89it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.94it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.92it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.82it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.85it/s] 41%|████ | 7/17 [00:01<00:02, 4.89it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.90it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.89it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.92it/s] 71%|███████ | 12/17 [00:02<00:01, 4.92it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.96it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.90it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.88it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.