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Dunhuang Style with MajicMix Lux
majicmix-lux:v3.0
evevalentine2017
evevalentine2017
·
Jan 18
369
Input
prompt
Specify things to see in the output
(Red and white hue:1.4), 1girl, solo, Flying among the clouds, Dunhuang Flying Apsaras costume, (Dunhuang background, mural background:1.6), messy long hair, a lot of smoke, ((realistic, masterpiece, movie lighting, best quality)), Beautiful lighting among background, floating colorful sparkles, the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, ((full body)), (dynamic angle:1.4), illustration, chiaroscuro, god rays, romanticism, best quality, zhongfenghua, <lora:zhongfenghuaxiyou-000018:0.4>, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight,
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2881341219
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
6
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>
zhongfenghuaxiyou-000018.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
spotlight.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealLife.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.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/3985689543034da4b0e9322a2df4fade/00000-2881341219.webp
https://files.tungsten.run/uploads/177cc95fac3a48cfb4b3b7ca035c011c/00001-2881341220.webp
https://files.tungsten.run/uploads/ea1f8a15e3e14027a701f36c34ac8994/00002-2881341221.webp
https://files.tungsten.run/uploads/38cb4024d85b4ab3812584f7ff1b0e3b/00003-2881341222.webp
Finished in 181.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (Red and white hue:1.4), 1girl, solo, Flying among the clouds, Dunhuang Flying Apsaras costume, (Dunhuang background, mural background:1.6), messy long hair, a lot of smoke, ((realistic, masterpiece, movie lighting, best quality)), Beautiful lighting among background, floating colorful sparkles, the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, ((full body)), (dynamic angle:1.4), illustration, chiaroscuro, god rays, romanticism, best quality, zhongfenghua, <lora:zhongfenghuaxiyou-000018:0.4>, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:57, 1.99s/it] 7%|▋ | 2/30 [00:03<00:49, 1.78s/it] 10%|█ | 3/30 [00:05<00:46, 1.71s/it] 13%|█▎ | 4/30 [00:06<00:44, 1.72s/it] 17%|█▋ | 5/30 [00:08<00:43, 1.74s/it] 20%|██ | 6/30 [00:10<00:41, 1.74s/it] 23%|██▎ | 7/30 [00:12<00:39, 1.70s/it] 27%|██▋ | 8/30 [00:13<00:37, 1.69s/it] 30%|███ | 9/30 [00:15<00:36, 1.72s/it] 33%|███▎ | 10/30 [00:17<00:34, 1.72s/it] 37%|███▋ | 11/30 [00:18<00:32, 1.71s/it] 40%|████ | 12/30 [00:20<00:30, 1.69s/it] 43%|████▎ | 13/30 [00:22<00:28, 1.69s/it] 47%|████▋ | 14/30 [00:23<00:25, 1.62s/it] 50%|█████ | 15/30 [00:25<00:23, 1.59s/it] 53%|█████▎ | 16/30 [00:26<00:21, 1.54s/it] 57%|█████▋ | 17/30 [00:28<00:19, 1.53s/it] 60%|██████ | 18/30 [00:29<00:18, 1.55s/it] 63%|██████▎ | 19/30 [00:31<00:16, 1.54s/it] 67%|██████▋ | 20/30 [00:32<00:15, 1.57s/it] 70%|███████ | 21/30 [00:34<00:13, 1.55s/it] 73%|███████▎ | 22/30 [00:36<00:12, 1.56s/it] 77%|███████▋ | 23/30 [00:37<00:10, 1.49s/it] 80%|████████ | 24/30 [00:38<00:08, 1.44s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.46s/it] 87%|████████▋ | 26/30 [00:41<00:05, 1.49s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.50s/it] 93%|█████████▎| 28/30 [00:44<00:02, 1.49s/it] 97%|█████████▋| 29/30 [00:45<00:01, 1.31s/it] 100%|██████████| 30/30 [00:46<00:00, 1.10s/it] 100%|██████████| 30/30 [00:46<00:00, 1.54s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 22.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.54it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.93it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.06it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.26it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.38it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.39it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.34it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.36it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.10it/s] 100%|██████████| 11/11 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.07it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.17it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.15it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.29it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.38it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.39it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.64it/s] 100%|██████████| 11/11 [00:04<00:00, 3.09it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.08it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.21it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.21it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.38it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.44it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.34it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.34it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.65it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.20it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.48it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.38it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.38it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.20it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.16it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.29it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.38it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.39it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.30it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.34it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.09it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.40it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.33it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.37it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.68it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 7 hands, 8.0ms Speed: 2.7ms preprocess, 8.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.14it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.22it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.20it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.35it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.42it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.41it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.37it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.67it/s] 100%|██████████| 11/11 [00:04<00:00, 3.13it/s] 100%|██████████| 11/11 [00:04<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.17it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.24it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.49it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.38it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.69it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.17it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.42it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.72it/s] 100%|██████████| 11/11 [00:04<00:00, 3.19it/s] 100%|██████████| 11/11 [00:04<00:00, 2.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.19it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.29it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.45it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.44it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.41it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.71it/s] 100%|██████████| 11/11 [00:04<00:00, 3.17it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.42s Move latents to cpu... done in 0.21s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.23it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.44it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.38it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.40it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.16it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.41it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.44it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.41it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.71it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.07it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.16it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.20it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.42it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.28it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.50it/s] 100%|██████████| 11/11 [00:04<00:00, 2.87it/s] 100%|██████████| 11/11 [00:04<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:05, 1.89it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.12it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.15it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.33it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.41it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.29it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.19it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.24it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.28it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.60it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.14it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.17it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.12it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.27it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.30it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.19it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.11it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.10it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.15it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.47it/s] 100%|██████████| 11/11 [00:04<00:00, 2.93it/s] 100%|██████████| 11/11 [00:04<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.23it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.22it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.35it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.43it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.30it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.26it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.19it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.25it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.56it/s] 100%|██████████| 11/11 [00:04<00:00, 3.01it/s] 100%|██████████| 11/11 [00:04<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 5 faces, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.41it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.48it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.46it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.40it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.38it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.38it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.67it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.27it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.42it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.36it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.28it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.31it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.62it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.25it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.23it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.38it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.45it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.43it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.41it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.71it/s] 100%|██████████| 11/11 [00:04<00:00, 3.17it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.17it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.26it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.41it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.48it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.46it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.40it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.40it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.60it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.17it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.33it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.41it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.41it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.69it/s] 100%|██████████| 11/11 [00:04<00:00, 3.16it/s] 100%|██████████| 11/11 [00:04<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.17it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.26it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.69it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.09it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.16it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.20it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.42it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.72it/s] 100%|██████████| 11/11 [00:04<00:00, 3.18it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(Red and white hue:1.4), 1girl, solo, Flying among the clouds, Dunhuang Flying Apsaras costume, (Dunhuang background, mural background:1.6), messy long hair, a lot of smoke, ((realistic, masterpiece, movie lighting, best quality)), Beautiful lighting among background, floating colorful sparkles, the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, ((full body)), (dynamic angle:1.4), illustration, chiaroscuro, god rays, romanticism, best quality, zhongfenghua, <lora:zhongfenghuaxiyou-000018:0.4>, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight,
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2881341219
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
6
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>
zhongfenghuaxiyou-000018.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
spotlight.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealLife.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.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/3985689543034da4b0e9322a2df4fade/00000-2881341219.webp
https://files.tungsten.run/uploads/177cc95fac3a48cfb4b3b7ca035c011c/00001-2881341220.webp
https://files.tungsten.run/uploads/ea1f8a15e3e14027a701f36c34ac8994/00002-2881341221.webp
https://files.tungsten.run/uploads/38cb4024d85b4ab3812584f7ff1b0e3b/00003-2881341222.webp
Finished in 181.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (Red and white hue:1.4), 1girl, solo, Flying among the clouds, Dunhuang Flying Apsaras costume, (Dunhuang background, mural background:1.6), messy long hair, a lot of smoke, ((realistic, masterpiece, movie lighting, best quality)), Beautiful lighting among background, floating colorful sparkles, the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, ((full body)), (dynamic angle:1.4), illustration, chiaroscuro, god rays, romanticism, best quality, zhongfenghua, <lora:zhongfenghuaxiyou-000018:0.4>, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 0%| | 0/30 [00:00<?, 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83%|████████▎ | 25/30 [00:40<00:07, 1.46s/it] 87%|████████▋ | 26/30 [00:41<00:05, 1.49s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.50s/it] 93%|█████████▎| 28/30 [00:44<00:02, 1.49s/it] 97%|█████████▋| 29/30 [00:45<00:01, 1.31s/it] 100%|██████████| 30/30 [00:46<00:00, 1.10s/it] 100%|██████████| 30/30 [00:46<00:00, 1.54s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 22.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.54it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.93it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.06it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.26it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.38it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.39it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.34it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.36it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.10it/s] 100%|██████████| 11/11 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.07it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.17it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.15it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.29it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.38it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.39it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.64it/s] 100%|██████████| 11/11 [00:04<00:00, 3.09it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.08it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.21it/s] 27%|██▋ | 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[00:03<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.20it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.16it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.29it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.38it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.39it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.30it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.34it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.09it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 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91%|█████████ | 10/11 [00:04<00:00, 2.67it/s] 100%|██████████| 11/11 [00:04<00:00, 3.13it/s] 100%|██████████| 11/11 [00:04<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.17it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.24it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.49it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.38it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.69it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.17it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 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Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.42s Move latents to cpu... done in 0.21s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.23it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.44it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.38it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.40it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.16it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.41it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.44it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.41it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.71it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.07it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.16it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.20it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.42it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.28it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.50it/s] 100%|██████████| 11/11 [00:04<00:00, 2.87it/s] 100%|██████████| 11/11 [00:04<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:05, 1.89it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.12it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.15it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.33it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.41it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.29it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.19it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.24it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.28it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.60it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.14it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.17it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.12it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.27it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.30it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.19it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.11it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.10it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.15it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.47it/s] 100%|██████████| 11/11 [00:04<00:00, 2.93it/s] 100%|██████████| 11/11 [00:04<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.23it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.22it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.35it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.43it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.30it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.26it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.19it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.25it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.56it/s] 100%|██████████| 11/11 [00:04<00:00, 3.01it/s] 100%|██████████| 11/11 [00:04<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 5 faces, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.41it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.48it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.46it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.40it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.38it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.38it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.67it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.27it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.25it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.42it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.36it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.28it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.31it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.62it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.25it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.23it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.38it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.45it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.43it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.41it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.71it/s] 100%|██████████| 11/11 [00:04<00:00, 3.17it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.17it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.26it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.41it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.48it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.46it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.40it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.40it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.60it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.18it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.26it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.17it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.33it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.41it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.41it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.69it/s] 100%|██████████| 11/11 [00:04<00:00, 3.16it/s] 100%|██████████| 11/11 [00:04<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.17it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.28it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.26it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.40it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.47it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.69it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.09it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.16it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.20it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.37it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.46it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.45it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.39it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.42it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.72it/s] 100%|██████████| 11/11 [00:04<00:00, 3.18it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s Uploading outputs... Finished.