Barbarian Queen with 3DReal 3DRealistic
Input
prompt
Specify things to see in the output
((realistic:1.5)), ((best quality)), ((masterpiece)), ((detailed)), a stunningly beautiful blonde princess, solo, (dark skin:1.3), vain and arrogant, headdress, wicked, jewels and jewelery, from a balcony of her elaborate room, ancient barbarian palace in the background, water, atmospheric fog, by Frank Frazetta, by Luis Royo, by boris vallejo, barbarian_woman, armor, <lora:add_detail:0.8>, <lora:edgBarbarian_MINI:1>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
nipples, nude, naked, topless, colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0.1
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.
2440091733
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 SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
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/ae41394df75844bba3ed365f4efe8d9a/00000-2440091733.png
https://files.tungsten.run/uploads/874388f8663640a7a754453e6d6ae733/00001-2440091734.png
https://files.tungsten.run/uploads/2bb2a1607da0484b813c4b2d2c3b628e/00002-2440091735.png
https://files.tungsten.run/uploads/d8129be37f884587a2e6b67a2d3c0294/00003-2440091736.png
Finished in 202.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: ((realistic:1.5)), ((best quality)), ((masterpiece)), ((detailed)), a stunningly beautiful blonde princess, solo, (dark skin:1.3), vain and arrogant, headdress, wicked, jewels and jewelery, from a balcony of her elaborate room, ancient barbarian palace in the background, water, atmospheric fog, by Frank Frazetta, by Luis Royo, by boris vallejo, barbarian_woman, armor, <lora:edgBarbarian_MINI:1>, <lora:FaceBeauty_qinglong_V3:1>, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1> Full negative prompt: nipples, nude, naked, topless, colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:33, 1.90s/it] 4%|▍ | 2/50 [00:03<01:26, 1.80s/it] 6%|▌ | 3/50 [00:05<01:20, 1.71s/it] 8%|▊ | 4/50 [00:07<01:19, 1.73s/it] 10%|█ | 5/50 [00:08<01:17, 1.72s/it] 12%|█▏ | 6/50 [00:10<01:14, 1.70s/it] 14%|█▍ | 7/50 [00:12<01:12, 1.69s/it] 16%|█▌ | 8/50 [00:13<01:13, 1.74s/it] 18%|█▊ | 9/50 [00:15<01:12, 1.77s/it] 20%|██ | 10/50 [00:17<01:10, 1.77s/it] 22%|██▏ | 11/50 [00:19<01:09, 1.77s/it] 24%|██▍ | 12/50 [00:20<01:06, 1.75s/it] 26%|██▌ | 13/50 [00:22<01:05, 1.78s/it] 28%|██▊ | 14/50 [00:24<01:02, 1.74s/it] 30%|███ | 15/50 [00:26<01:00, 1.74s/it] 32%|███▏ | 16/50 [00:27<00:58, 1.72s/it] 34%|███▍ | 17/50 [00:29<00:56, 1.70s/it] 36%|███▌ | 18/50 [00:31<00:55, 1.73s/it] 38%|███▊ | 19/50 [00:32<00:51, 1.68s/it] 40%|████ | 20/50 [00:34<00:51, 1.70s/it] 42%|████▏ | 21/50 [00:36<00:48, 1.69s/it] 44%|████▍ | 22/50 [00:37<00:46, 1.67s/it] 46%|████▌ | 23/50 [00:39<00:43, 1.62s/it] 48%|████▊ | 24/50 [00:41<00:42, 1.65s/it] 50%|█████ | 25/50 [00:42<00:39, 1.57s/it] 52%|█████▏ | 26/50 [00:44<00:37, 1.57s/it] 54%|█████▍ | 27/50 [00:45<00:35, 1.56s/it] 56%|█████▌ | 28/50 [00:47<00:35, 1.61s/it] 58%|█████▊ | 29/50 [00:48<00:33, 1.61s/it] 60%|██████ | 30/50 [00:50<00:33, 1.68s/it] 62%|██████▏ | 31/50 [00:52<00:30, 1.61s/it] 64%|██████▍ | 32/50 [00:53<00:28, 1.56s/it] 66%|██████▌ | 33/50 [00:55<00:26, 1.59s/it] 68%|██████▊ | 34/50 [00:56<00:24, 1.55s/it] 70%|███████ | 35/50 [00:58<00:23, 1.55s/it] 72%|███████▏ | 36/50 [00:59<00:20, 1.48s/it] 74%|███████▍ | 37/50 [01:01<00:18, 1.44s/it] 76%|███████▌ | 38/50 [01:02<00:16, 1.41s/it] 78%|███████▊ | 39/50 [01:04<00:16, 1.47s/it] 80%|████████ | 40/50 [01:05<00:14, 1.46s/it] 82%|████████▏ | 41/50 [01:07<00:13, 1.53s/it] 84%|████████▍ | 42/50 [01:08<00:11, 1.49s/it] 86%|████████▌ | 43/50 [01:10<00:10, 1.49s/it] 88%|████████▊ | 44/50 [01:11<00:09, 1.55s/it] 90%|█████████ | 45/50 [01:13<00:07, 1.52s/it] 92%|█████████▏| 46/50 [01:14<00:05, 1.46s/it] 94%|█████████▍| 47/50 [01:15<00:04, 1.39s/it] 96%|█████████▌| 48/50 [01:17<00:02, 1.40s/it] 98%|█████████▊| 49/50 [01:17<00:01, 1.21s/it] 100%|██████████| 50/50 [01:18<00:00, 1.03s/it] 100%|██████████| 50/50 [01:18<00:00, 1.57s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.79s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 21.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:14, 1.35it/s] 10%|▉ | 2/21 [00:01<00:11, 1.69it/s] 14%|█▍ | 3/21 [00:01<00:09, 1.86it/s] 19%|█▉ | 4/21 [00:02<00:08, 1.97it/s] 24%|██▍ | 5/21 [00:02<00:08, 1.96it/s] 29%|██▊ | 6/21 [00:03<00:07, 2.02it/s] 33%|███▎ | 7/21 [00:03<00:06, 2.20it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.31it/s] 43%|████▎ | 9/21 [00:04<00:05, 2.37it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.32it/s] 52%|█████▏ | 11/21 [00:05<00:04, 2.36it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.29it/s] 62%|██████▏ | 13/21 [00:06<00:03, 2.35it/s] 67%|██████▋ | 14/21 [00:06<00:02, 2.40it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.34it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.38it/s] 81%|████████ | 17/21 [00:07<00:01, 2.47it/s] 86%|████████▌ | 18/21 [00:08<00:01, 2.45it/s] 90%|█████████ | 19/21 [00:08<00:00, 2.38it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.70it/s] 100%|██████████| 21/21 [00:09<00:00, 3.01it/s] 100%|██████████| 21/21 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.94it/s] 10%|▉ | 2/21 [00:00<00:08, 2.17it/s] 14%|█▍ | 3/21 [00:01<00:08, 2.23it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.18it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.23it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.22it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.35it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.41it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.43it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.31it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.32it/s] 57%|█████▋ | 12/21 [00:05<00:04, 2.22it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.29it/s] 67%|██████▋ | 14/21 [00:06<00:03, 2.32it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.26it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.22it/s] 81%|████████ | 17/21 [00:07<00:01, 2.33it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.46it/s] 90%|█████████ | 19/21 [00:08<00:00, 2.49it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.85it/s] 100%|██████████| 21/21 [00:08<00:00, 3.27it/s] 100%|██████████| 21/21 [00:08<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.87it/s] 10%|▉ | 2/21 [00:00<00:08, 2.12it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.26it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.24it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.31it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.29it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.40it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.48it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.51it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.41it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.43it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.32it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.36it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.41it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.33it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.37it/s] 81%|████████ | 17/21 [00:07<00:01, 2.43it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.51it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.50it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.83it/s] 100%|██████████| 21/21 [00:08<00:00, 3.11it/s] 100%|██████████| 21/21 [00:08<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 10.6ms Speed: 2.7ms preprocess, 10.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.87it/s] 10%|▉ | 2/21 [00:00<00:08, 2.16it/s] 14%|█▍ | 3/21 [00:01<00:08, 2.22it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.16it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.24it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.25it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.37it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.44it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.45it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.37it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.41it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.33it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.29it/s] 67%|██████▋ | 14/21 [00:06<00:02, 2.34it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.29it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.34it/s] 81%|████████ | 17/21 [00:07<00:01, 2.43it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.52it/s] 90%|█████████ | 19/21 [00:08<00:00, 2.52it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.88it/s] 100%|██████████| 21/21 [00:08<00:00, 3.31it/s] 100%|██████████| 21/21 [00:08<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.95it/s] 10%|▉ | 2/21 [00:00<00:08, 2.20it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.30it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.24it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.30it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.29it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.39it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.45it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.49it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.38it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.40it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.29it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.37it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.40it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.34it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.38it/s] 81%|████████ | 17/21 [00:07<00:01, 2.45it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.55it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.55it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.92it/s] 100%|██████████| 21/21 [00:08<00:00, 3.36it/s] 100%|██████████| 21/21 [00:08<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.97it/s] 10%|▉ | 2/21 [00:00<00:08, 2.22it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.32it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.26it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.32it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.31it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.38it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.42it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.46it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.36it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.39it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.30it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.38it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.42it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.36it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.39it/s] 81%|████████ | 17/21 [00:07<00:01, 2.40it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.49it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.50it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.87it/s] 100%|██████████| 21/21 [00:08<00:00, 3.31it/s] 100%|██████████| 21/21 [00:08<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 7.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.03it/s] 10%|▉ | 2/21 [00:00<00:08, 2.27it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.37it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.32it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.37it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.33it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.44it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.53it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.56it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.45it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.48it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.37it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.43it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.46it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.39it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.42it/s] 81%|████████ | 17/21 [00:07<00:01, 2.51it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.61it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.59it/s] 95%|█████████▌| 20/21 [00:07<00:00, 2.95it/s] 100%|██████████| 21/21 [00:08<00:00, 3.38it/s] 100%|██████████| 21/21 [00:08<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.6ms Speed: 2.6ms preprocess, 6.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.98it/s] 10%|▉ | 2/21 [00:00<00:08, 2.20it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.31it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.29it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.36it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.36it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.50it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.58it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.59it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.48it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.50it/s] 57%|█████▋ | 12/21 [00:04<00:03, 2.38it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.44it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.48it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.39it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.41it/s] 81%|████████ | 17/21 [00:07<00:01, 2.48it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.58it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.54it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.89it/s] 100%|██████████| 21/21 [00:08<00:00, 3.24it/s] 100%|██████████| 21/21 [00:08<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.01it/s] 10%|▉ | 2/21 [00:00<00:08, 2.27it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.35it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.28it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.33it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.34it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.47it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.55it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.59it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.48it/s] 52%|█████▏ | 11/21 [00:04<00:03, 2.51it/s] 57%|█████▋ | 12/21 [00:04<00:03, 2.41it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.47it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.48it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.42it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.45it/s] 81%|████████ | 17/21 [00:06<00:01, 2.51it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.62it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.62it/s] 95%|█████████▌| 20/21 [00:07<00:00, 2.90it/s] 100%|██████████| 21/21 [00:08<00:00, 3.34it/s] 100%|██████████| 21/21 [00:08<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.03it/s] 10%|▉ | 2/21 [00:00<00:08, 2.20it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.29it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.25it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.34it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.35it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.46it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.53it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.52it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.40it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.43it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.35it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.42it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.46it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.38it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.42it/s] 81%|████████ | 17/21 [00:07<00:01, 2.49it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.59it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.59it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.94it/s] 100%|██████████| 21/21 [00:08<00:00, 3.38it/s] 100%|██████████| 21/21 [00:08<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.7ms Speed: 2.9ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.03it/s] 10%|▉ | 2/21 [00:00<00:08, 2.30it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.40it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.35it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.40it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.39it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.50it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.58it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.61it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.49it/s] 52%|█████▏ | 11/21 [00:04<00:03, 2.50it/s] 57%|█████▋ | 12/21 [00:04<00:03, 2.39it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.46it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.50it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.42it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.46it/s] 81%|████████ | 17/21 [00:06<00:01, 2.54it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.63it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.64it/s] 95%|█████████▌| 20/21 [00:07<00:00, 3.01it/s] 100%|██████████| 21/21 [00:08<00:00, 3.44it/s] 100%|██████████| 21/21 [00:08<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.02it/s] 10%|▉ | 2/21 [00:00<00:08, 2.28it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.39it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.33it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.39it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.38it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.51it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.59it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.55it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.46it/s] 52%|█████▏ | 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Finished.
prompt
Specify things to see in the output
((realistic:1.5)), ((best quality)), ((masterpiece)), ((detailed)), a stunningly beautiful blonde princess, solo, (dark skin:1.3), vain and arrogant, headdress, wicked, jewels and jewelery, from a balcony of her elaborate room, ancient barbarian palace in the background, water, atmospheric fog, by Frank Frazetta, by Luis Royo, by boris vallejo, barbarian_woman, armor, <lora:add_detail:0.8>, <lora:edgBarbarian_MINI:1>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
nipples, nude, naked, topless, colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0.1
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.
2440091733
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 SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
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/ae41394df75844bba3ed365f4efe8d9a/00000-2440091733.png
https://files.tungsten.run/uploads/874388f8663640a7a754453e6d6ae733/00001-2440091734.png
https://files.tungsten.run/uploads/2bb2a1607da0484b813c4b2d2c3b628e/00002-2440091735.png
https://files.tungsten.run/uploads/d8129be37f884587a2e6b67a2d3c0294/00003-2440091736.png
Finished in 202.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: ((realistic:1.5)), ((best quality)), ((masterpiece)), ((detailed)), a stunningly beautiful blonde princess, solo, (dark skin:1.3), vain and arrogant, headdress, wicked, jewels and jewelery, from a balcony of her elaborate room, ancient barbarian palace in the background, water, atmospheric fog, by Frank Frazetta, by Luis Royo, by boris vallejo, barbarian_woman, armor, <lora:edgBarbarian_MINI:1>, <lora:FaceBeauty_qinglong_V3:1>, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1> Full negative prompt: nipples, nude, naked, topless, colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:33, 1.90s/it] 4%|▍ | 2/50 [00:03<01:26, 1.80s/it] 6%|▌ | 3/50 [00:05<01:20, 1.71s/it] 8%|▊ | 4/50 [00:07<01:19, 1.73s/it] 10%|█ | 5/50 [00:08<01:17, 1.72s/it] 12%|█▏ | 6/50 [00:10<01:14, 1.70s/it] 14%|█▍ | 7/50 [00:12<01:12, 1.69s/it] 16%|█▌ | 8/50 [00:13<01:13, 1.74s/it] 18%|█▊ | 9/50 [00:15<01:12, 1.77s/it] 20%|██ | 10/50 [00:17<01:10, 1.77s/it] 22%|██▏ | 11/50 [00:19<01:09, 1.77s/it] 24%|██▍ | 12/50 [00:20<01:06, 1.75s/it] 26%|██▌ | 13/50 [00:22<01:05, 1.78s/it] 28%|██▊ | 14/50 [00:24<01:02, 1.74s/it] 30%|███ | 15/50 [00:26<01:00, 1.74s/it] 32%|███▏ | 16/50 [00:27<00:58, 1.72s/it] 34%|███▍ | 17/50 [00:29<00:56, 1.70s/it] 36%|███▌ | 18/50 [00:31<00:55, 1.73s/it] 38%|███▊ | 19/50 [00:32<00:51, 1.68s/it] 40%|████ | 20/50 [00:34<00:51, 1.70s/it] 42%|████▏ | 21/50 [00:36<00:48, 1.69s/it] 44%|████▍ | 22/50 [00:37<00:46, 1.67s/it] 46%|████▌ | 23/50 [00:39<00:43, 1.62s/it] 48%|████▊ | 24/50 [00:41<00:42, 1.65s/it] 50%|█████ | 25/50 [00:42<00:39, 1.57s/it] 52%|█████▏ | 26/50 [00:44<00:37, 1.57s/it] 54%|█████▍ | 27/50 [00:45<00:35, 1.56s/it] 56%|█████▌ | 28/50 [00:47<00:35, 1.61s/it] 58%|█████▊ | 29/50 [00:48<00:33, 1.61s/it] 60%|██████ | 30/50 [00:50<00:33, 1.68s/it] 62%|██████▏ | 31/50 [00:52<00:30, 1.61s/it] 64%|██████▍ | 32/50 [00:53<00:28, 1.56s/it] 66%|██████▌ | 33/50 [00:55<00:26, 1.59s/it] 68%|██████▊ | 34/50 [00:56<00:24, 1.55s/it] 70%|███████ | 35/50 [00:58<00:23, 1.55s/it] 72%|███████▏ | 36/50 [00:59<00:20, 1.48s/it] 74%|███████▍ | 37/50 [01:01<00:18, 1.44s/it] 76%|███████▌ | 38/50 [01:02<00:16, 1.41s/it] 78%|███████▊ | 39/50 [01:04<00:16, 1.47s/it] 80%|████████ | 40/50 [01:05<00:14, 1.46s/it] 82%|████████▏ | 41/50 [01:07<00:13, 1.53s/it] 84%|████████▍ | 42/50 [01:08<00:11, 1.49s/it] 86%|████████▌ | 43/50 [01:10<00:10, 1.49s/it] 88%|████████▊ | 44/50 [01:11<00:09, 1.55s/it] 90%|█████████ | 45/50 [01:13<00:07, 1.52s/it] 92%|█████████▏| 46/50 [01:14<00:05, 1.46s/it] 94%|█████████▍| 47/50 [01:15<00:04, 1.39s/it] 96%|█████████▌| 48/50 [01:17<00:02, 1.40s/it] 98%|█████████▊| 49/50 [01:17<00:01, 1.21s/it] 100%|██████████| 50/50 [01:18<00:00, 1.03s/it] 100%|██████████| 50/50 [01:18<00:00, 1.57s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.79s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 21.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:14, 1.35it/s] 10%|▉ | 2/21 [00:01<00:11, 1.69it/s] 14%|█▍ | 3/21 [00:01<00:09, 1.86it/s] 19%|█▉ | 4/21 [00:02<00:08, 1.97it/s] 24%|██▍ | 5/21 [00:02<00:08, 1.96it/s] 29%|██▊ | 6/21 [00:03<00:07, 2.02it/s] 33%|███▎ | 7/21 [00:03<00:06, 2.20it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.31it/s] 43%|████▎ | 9/21 [00:04<00:05, 2.37it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.32it/s] 52%|█████▏ | 11/21 [00:05<00:04, 2.36it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.29it/s] 62%|██████▏ | 13/21 [00:06<00:03, 2.35it/s] 67%|██████▋ | 14/21 [00:06<00:02, 2.40it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.34it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.38it/s] 81%|████████ | 17/21 [00:07<00:01, 2.47it/s] 86%|████████▌ | 18/21 [00:08<00:01, 2.45it/s] 90%|█████████ | 19/21 [00:08<00:00, 2.38it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.70it/s] 100%|██████████| 21/21 [00:09<00:00, 3.01it/s] 100%|██████████| 21/21 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.94it/s] 10%|▉ | 2/21 [00:00<00:08, 2.17it/s] 14%|█▍ | 3/21 [00:01<00:08, 2.23it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.18it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.23it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.22it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.35it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.41it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.43it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.31it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.32it/s] 57%|█████▋ | 12/21 [00:05<00:04, 2.22it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.29it/s] 67%|██████▋ | 14/21 [00:06<00:03, 2.32it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.26it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.22it/s] 81%|████████ | 17/21 [00:07<00:01, 2.33it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.46it/s] 90%|█████████ | 19/21 [00:08<00:00, 2.49it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.85it/s] 100%|██████████| 21/21 [00:08<00:00, 3.27it/s] 100%|██████████| 21/21 [00:08<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.87it/s] 10%|▉ | 2/21 [00:00<00:08, 2.12it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.26it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.24it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.31it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.29it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.40it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.48it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.51it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.41it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.43it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.32it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.36it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.41it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.33it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.37it/s] 81%|████████ | 17/21 [00:07<00:01, 2.43it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.51it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.50it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.83it/s] 100%|██████████| 21/21 [00:08<00:00, 3.11it/s] 100%|██████████| 21/21 [00:08<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 10.6ms Speed: 2.7ms preprocess, 10.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.87it/s] 10%|▉ | 2/21 [00:00<00:08, 2.16it/s] 14%|█▍ | 3/21 [00:01<00:08, 2.22it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.16it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.24it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.25it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.37it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.44it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.45it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.37it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.41it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.33it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.29it/s] 67%|██████▋ | 14/21 [00:06<00:02, 2.34it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.29it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.34it/s] 81%|████████ | 17/21 [00:07<00:01, 2.43it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.52it/s] 90%|█████████ | 19/21 [00:08<00:00, 2.52it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.88it/s] 100%|██████████| 21/21 [00:08<00:00, 3.31it/s] 100%|██████████| 21/21 [00:08<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.95it/s] 10%|▉ | 2/21 [00:00<00:08, 2.20it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.30it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.24it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.30it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.29it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.39it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.45it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.49it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.38it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.40it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.29it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.37it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.40it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.34it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.38it/s] 81%|████████ | 17/21 [00:07<00:01, 2.45it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.55it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.55it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.92it/s] 100%|██████████| 21/21 [00:08<00:00, 3.36it/s] 100%|██████████| 21/21 [00:08<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.97it/s] 10%|▉ | 2/21 [00:00<00:08, 2.22it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.32it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.26it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.32it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.31it/s] 33%|███▎ | 7/21 [00:03<00:05, 2.38it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.42it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.46it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.36it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.39it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.30it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.38it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.42it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.36it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.39it/s] 81%|████████ | 17/21 [00:07<00:01, 2.40it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.49it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.50it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.87it/s] 100%|██████████| 21/21 [00:08<00:00, 3.31it/s] 100%|██████████| 21/21 [00:08<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 7.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.03it/s] 10%|▉ | 2/21 [00:00<00:08, 2.27it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.37it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.32it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.37it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.33it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.44it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.53it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.56it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.45it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.48it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.37it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.43it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.46it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.39it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.42it/s] 81%|████████ | 17/21 [00:07<00:01, 2.51it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.61it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.59it/s] 95%|█████████▌| 20/21 [00:07<00:00, 2.95it/s] 100%|██████████| 21/21 [00:08<00:00, 3.38it/s] 100%|██████████| 21/21 [00:08<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.6ms Speed: 2.6ms preprocess, 6.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:10, 1.98it/s] 10%|▉ | 2/21 [00:00<00:08, 2.20it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.31it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.29it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.36it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.36it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.50it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.58it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.59it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.48it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.50it/s] 57%|█████▋ | 12/21 [00:04<00:03, 2.38it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.44it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.48it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.39it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.41it/s] 81%|████████ | 17/21 [00:07<00:01, 2.48it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.58it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.54it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.89it/s] 100%|██████████| 21/21 [00:08<00:00, 3.24it/s] 100%|██████████| 21/21 [00:08<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.01it/s] 10%|▉ | 2/21 [00:00<00:08, 2.27it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.35it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.28it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.33it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.34it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.47it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.55it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.59it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.48it/s] 52%|█████▏ | 11/21 [00:04<00:03, 2.51it/s] 57%|█████▋ | 12/21 [00:04<00:03, 2.41it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.47it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.48it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.42it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.45it/s] 81%|████████ | 17/21 [00:06<00:01, 2.51it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.62it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.62it/s] 95%|█████████▌| 20/21 [00:07<00:00, 2.90it/s] 100%|██████████| 21/21 [00:08<00:00, 3.34it/s] 100%|██████████| 21/21 [00:08<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.03it/s] 10%|▉ | 2/21 [00:00<00:08, 2.20it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.29it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.25it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.34it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.35it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.46it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.53it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.52it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.40it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.43it/s] 57%|█████▋ | 12/21 [00:05<00:03, 2.35it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.42it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.46it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.38it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.42it/s] 81%|████████ | 17/21 [00:07<00:01, 2.49it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.59it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.59it/s] 95%|█████████▌| 20/21 [00:08<00:00, 2.94it/s] 100%|██████████| 21/21 [00:08<00:00, 3.38it/s] 100%|██████████| 21/21 [00:08<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.7ms Speed: 2.9ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.03it/s] 10%|▉ | 2/21 [00:00<00:08, 2.30it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.40it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.35it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.40it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.39it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.50it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.58it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.61it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.49it/s] 52%|█████▏ | 11/21 [00:04<00:03, 2.50it/s] 57%|█████▋ | 12/21 [00:04<00:03, 2.39it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.46it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.50it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.42it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.46it/s] 81%|████████ | 17/21 [00:06<00:01, 2.54it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.63it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.64it/s] 95%|█████████▌| 20/21 [00:07<00:00, 3.01it/s] 100%|██████████| 21/21 [00:08<00:00, 3.44it/s] 100%|██████████| 21/21 [00:08<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.02it/s] 10%|▉ | 2/21 [00:00<00:08, 2.28it/s] 14%|█▍ | 3/21 [00:01<00:07, 2.39it/s] 19%|█▉ | 4/21 [00:01<00:07, 2.33it/s] 24%|██▍ | 5/21 [00:02<00:06, 2.39it/s] 29%|██▊ | 6/21 [00:02<00:06, 2.38it/s] 33%|███▎ | 7/21 [00:02<00:05, 2.51it/s] 38%|███▊ | 8/21 [00:03<00:05, 2.59it/s] 43%|████▎ | 9/21 [00:03<00:04, 2.55it/s] 48%|████▊ | 10/21 [00:04<00:04, 2.46it/s] 52%|█████▏ | 11/21 [00:04<00:04, 2.49it/s] 57%|█████▋ | 12/21 [00:04<00:03, 2.40it/s] 62%|██████▏ | 13/21 [00:05<00:03, 2.40it/s] 67%|██████▋ | 14/21 [00:05<00:02, 2.45it/s] 71%|███████▏ | 15/21 [00:06<00:02, 2.35it/s] 76%|███████▌ | 16/21 [00:06<00:02, 2.41it/s] 81%|████████ | 17/21 [00:06<00:01, 2.50it/s] 86%|████████▌ | 18/21 [00:07<00:01, 2.61it/s] 90%|█████████ | 19/21 [00:07<00:00, 2.61it/s] 95%|█████████▌| 20/21 [00:07<00:00, 2.98it/s] 100%|██████████| 21/21 [00:08<00:00, 3.42it/s] 100%|██████████| 21/21 [00:08<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Uploading outputs... Finished.