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Paradise in the Clouds with Smooth Blend
smooth-blend:v1.0
evevalentine2017
evevalentine2017
·
12/28/2023
387
Input
prompt
Specify things to see in the output
(perfect seductive young woman Discovering a Hidden Sanctuary in the Clouds:1.3), sanctuary floating amidst the clouds, ethereal and hidden, with hanging gardens, flowing waterfalls, and pathways lit by bioluminescent flora, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.8
brightness
Adjust brightness
0
contrast
Adjust contrast
-0.48
saturation
Adjust saturation
-0.2
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2140431947
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 Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
RedRealStockings.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.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/8730973137f640099dc2157616fe8706/00000-2140431947.webp
https://files.tungsten.run/uploads/5ecba67464e14c2d84a852fd239514b6/00001-2140431948.webp
https://files.tungsten.run/uploads/46d3c43da6794f3399c73ba1dd20599a/00002-2140431949.webp
https://files.tungsten.run/uploads/f817fea4117948419a52aaac101b215d/00003-2140431950.webp
Finished in 96.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: (perfect seductive young woman Discovering a Hidden Sanctuary in the Clouds:1.3), sanctuary floating amidst the clouds, ethereal and hidden, with hanging gardens, flowing waterfalls, and pathways lit by bioluminescent flora, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>, <lora:add_detail:0.8>, <lora:contrast_slider_v10:-0.48>, <lora:add_saturation:-0.2> Full negative prompt: portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:54, 1.41s/it] 5%|▌ | 2/40 [00:02<00:37, 1.02it/s] 8%|▊ | 3/40 [00:02<00:30, 1.20it/s] 10%|█ | 4/40 [00:03<00:27, 1.30it/s] 12%|█▎ | 5/40 [00:04<00:25, 1.36it/s] 15%|█▌ | 6/40 [00:04<00:24, 1.41it/s] 18%|█▊ | 7/40 [00:05<00:23, 1.43it/s] 20%|██ | 8/40 [00:06<00:22, 1.45it/s] 22%|██▎ | 9/40 [00:06<00:21, 1.46it/s] 25%|██▌ | 10/40 [00:07<00:20, 1.47it/s] 28%|██▊ | 11/40 [00:08<00:19, 1.47it/s] 30%|███ | 12/40 [00:08<00:18, 1.48it/s] 32%|███▎ | 13/40 [00:09<00:18, 1.48it/s] 35%|███▌ | 14/40 [00:10<00:17, 1.48it/s] 38%|███▊ | 15/40 [00:10<00:16, 1.48it/s] 40%|████ | 16/40 [00:11<00:16, 1.47it/s] 42%|████▎ | 17/40 [00:12<00:15, 1.46it/s] 45%|████▌ | 18/40 [00:12<00:15, 1.46it/s] 48%|████▊ | 19/40 [00:13<00:14, 1.46it/s] 50%|█████ | 20/40 [00:14<00:13, 1.46it/s] 52%|█████▎ | 21/40 [00:14<00:13, 1.46it/s] 55%|█████▌ | 22/40 [00:15<00:12, 1.46it/s] 57%|█████▊ | 23/40 [00:16<00:11, 1.45it/s] 60%|██████ | 24/40 [00:17<00:11, 1.45it/s] 62%|██████▎ | 25/40 [00:17<00:10, 1.45it/s] 65%|██████▌ | 26/40 [00:18<00:09, 1.45it/s] 68%|██████▊ | 27/40 [00:19<00:08, 1.45it/s] 70%|███████ | 28/40 [00:19<00:08, 1.44it/s] 72%|███████▎ | 29/40 [00:20<00:07, 1.44it/s] 75%|███████▌ | 30/40 [00:21<00:06, 1.44it/s] 78%|███████▊ | 31/40 [00:21<00:06, 1.43it/s] 80%|████████ | 32/40 [00:22<00:05, 1.43it/s] 82%|████████▎ | 33/40 [00:23<00:04, 1.43it/s] 85%|████████▌ | 34/40 [00:23<00:04, 1.43it/s] 88%|████████▊ | 35/40 [00:24<00:03, 1.43it/s] 90%|█████████ | 36/40 [00:25<00:02, 1.43it/s] 92%|█████████▎| 37/40 [00:26<00:02, 1.43it/s] 95%|█████████▌| 38/40 [00:26<00:01, 1.44it/s] 98%|█████████▊| 39/40 [00:27<00:00, 1.44it/s] 100%|██████████| 40/40 [00:28<00:00, 1.44it/s] 100%|██████████| 40/40 [00:28<00:00, 1.42it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 5.2ms preprocess, 7.9ms inference, 65.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:07, 3.06it/s] 9%|▊ | 2/23 [00:00<00:04, 4.46it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.23it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.67it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.94it/s] 26%|██▌ | 6/23 [00:01<00:02, 6.00it/s] 30%|███ | 7/23 [00:01<00:02, 6.05it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.17it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.27it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.35it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.41it/s] 52%|█████▏ | 12/23 [00:02<00:01, 6.40it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.28it/s] 61%|██████ | 14/23 [00:02<00:01, 6.29it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.33it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.38it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.42it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.43it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.39it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.40it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.41it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.12it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 9.5ms Speed: 3.3ms preprocess, 9.5ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.84it/s] 9%|▊ | 2/23 [00:00<00:03, 6.64it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.56it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.52it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.51it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.42it/s] 30%|███ | 7/23 [00:01<00:02, 6.42it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.43it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.44it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.41it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.40it/s] 61%|██████ | 14/23 [00:02<00:01, 6.40it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.40it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.39it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.41it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.40it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.41it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.43it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.41it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.41it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.67it/s] 9%|▊ | 2/23 [00:00<00:03, 6.58it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.54it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.54it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.39it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.31it/s] 30%|███ | 7/23 [00:01<00:02, 6.37it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.43it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.38it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.38it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.35it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.36it/s] 61%|██████ | 14/23 [00:02<00:01, 6.38it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.43it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.44it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.40it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.37it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.39it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.40it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.81it/s] 9%|▊ | 2/23 [00:00<00:03, 6.60it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.55it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.56it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.54it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.30it/s] 30%|███ | 7/23 [00:01<00:02, 6.29it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.34it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.36it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.40it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.43it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.42it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.36it/s] 61%|██████ | 14/23 [00:02<00:01, 6.37it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.39it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.41it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.42it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.43it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.32it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.34it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.35it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.83it/s] 9%|▊ | 2/23 [00:00<00:03, 6.64it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.43it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.48it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.49it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.42it/s] 30%|███ | 7/23 [00:01<00:02, 6.42it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.45it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.47it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.42it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.45it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.43it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.40it/s] 61%|██████ | 14/23 [00:02<00:01, 6.40it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.33it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.37it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.37it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.39it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.40it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.38it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.66it/s] 9%|▊ | 2/23 [00:00<00:03, 6.60it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.50it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.52it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.41it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.35it/s] 30%|███ | 7/23 [00:01<00:02, 6.40it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.43it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.46it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.49it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.43it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.37it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.36it/s] 61%|██████ | 14/23 [00:02<00:01, 6.36it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.42it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.38it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.35it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.35it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.40it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.44it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.44it/s] 9%|▊ | 2/23 [00:00<00:03, 6.49it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.52it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.54it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.53it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.41it/s] 30%|███ | 7/23 [00:01<00:02, 6.34it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.38it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.40it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.48it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.42it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.38it/s] 61%|██████ | 14/23 [00:02<00:01, 6.35it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.37it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.43it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.45it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.44it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.39it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.32it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.35it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.34it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.94it/s] 9%|▊ | 2/23 [00:00<00:03, 6.70it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.44it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.46it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.50it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.41it/s] 30%|███ | 7/23 [00:01<00:02, 6.39it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.44it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.46it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.47it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.39it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.37it/s] 61%|██████ | 14/23 [00:02<00:01, 6.37it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.38it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.43it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.41it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.34it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.37it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.38it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.39it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.63it/s] 9%|▊ | 2/23 [00:00<00:03, 6.54it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.56it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.54it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.39it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.34it/s] 30%|███ | 7/23 [00:01<00:02, 6.38it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.43it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.45it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.43it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.30it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.34it/s] 61%|██████ | 14/23 [00:02<00:01, 6.38it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.43it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.40it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.34it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.35it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.39it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.41it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.44it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.2ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.87it/s] 9%|▊ | 2/23 [00:00<00:03, 6.69it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.44it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.49it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.53it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.44it/s] 30%|███ | 7/23 [00:01<00:02, 6.37it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.39it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.44it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.50it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.45it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.37it/s] 61%|██████ | 14/23 [00:02<00:01, 6.35it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.39it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.45it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.43it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.40it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.41it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.42it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.44it/s] 100%|██████████| 23/23 [00:03<00:00, 6.44it/s] 100%|██████████| 23/23 [00:03<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.13it/s] 9%|▊ | 2/23 [00:00<00:03, 6.36it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.44it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.50it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.51it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.41it/s] 30%|███ | 7/23 [00:01<00:02, 6.32it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.39it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.43it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.45it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.44it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.40it/s] 61%|██████ | 14/23 [00:02<00:01, 6.36it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.40it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.44it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.45it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.42it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.41it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.41it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.46it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.27it/s] 9%|▊ | 2/23 [00:00<00:03, 6.41it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.47it/s] 17%|█▋ | 4/23 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Finished.
prompt
Specify things to see in the output
(perfect seductive young woman Discovering a Hidden Sanctuary in the Clouds:1.3), sanctuary floating amidst the clouds, ethereal and hidden, with hanging gardens, flowing waterfalls, and pathways lit by bioluminescent flora, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.8
brightness
Adjust brightness
0
contrast
Adjust contrast
-0.48
saturation
Adjust saturation
-0.2
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2140431947
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 Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
RedRealStockings.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/8730973137f640099dc2157616fe8706/00000-2140431947.webp
https://files.tungsten.run/uploads/5ecba67464e14c2d84a852fd239514b6/00001-2140431948.webp
https://files.tungsten.run/uploads/46d3c43da6794f3399c73ba1dd20599a/00002-2140431949.webp
https://files.tungsten.run/uploads/f817fea4117948419a52aaac101b215d/00003-2140431950.webp
Finished in 96.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: (perfect seductive young woman Discovering a Hidden Sanctuary in the Clouds:1.3), sanctuary floating amidst the clouds, ethereal and hidden, with hanging gardens, flowing waterfalls, and pathways lit by bioluminescent flora, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>, <lora:add_detail:0.8>, <lora:contrast_slider_v10:-0.48>, <lora:add_saturation:-0.2> Full negative prompt: portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:54, 1.41s/it] 5%|▌ | 2/40 [00:02<00:37, 1.02it/s] 8%|▊ | 3/40 [00:02<00:30, 1.20it/s] 10%|█ | 4/40 [00:03<00:27, 1.30it/s] 12%|█▎ | 5/40 [00:04<00:25, 1.36it/s] 15%|█▌ | 6/40 [00:04<00:24, 1.41it/s] 18%|█▊ | 7/40 [00:05<00:23, 1.43it/s] 20%|██ | 8/40 [00:06<00:22, 1.45it/s] 22%|██▎ | 9/40 [00:06<00:21, 1.46it/s] 25%|██▌ | 10/40 [00:07<00:20, 1.47it/s] 28%|██▊ | 11/40 [00:08<00:19, 1.47it/s] 30%|███ | 12/40 [00:08<00:18, 1.48it/s] 32%|███▎ | 13/40 [00:09<00:18, 1.48it/s] 35%|███▌ | 14/40 [00:10<00:17, 1.48it/s] 38%|███▊ | 15/40 [00:10<00:16, 1.48it/s] 40%|████ | 16/40 [00:11<00:16, 1.47it/s] 42%|████▎ | 17/40 [00:12<00:15, 1.46it/s] 45%|████▌ | 18/40 [00:12<00:15, 1.46it/s] 48%|████▊ | 19/40 [00:13<00:14, 1.46it/s] 50%|█████ | 20/40 [00:14<00:13, 1.46it/s] 52%|█████▎ | 21/40 [00:14<00:13, 1.46it/s] 55%|█████▌ | 22/40 [00:15<00:12, 1.46it/s] 57%|█████▊ | 23/40 [00:16<00:11, 1.45it/s] 60%|██████ | 24/40 [00:17<00:11, 1.45it/s] 62%|██████▎ | 25/40 [00:17<00:10, 1.45it/s] 65%|██████▌ | 26/40 [00:18<00:09, 1.45it/s] 68%|██████▊ | 27/40 [00:19<00:08, 1.45it/s] 70%|███████ | 28/40 [00:19<00:08, 1.44it/s] 72%|███████▎ | 29/40 [00:20<00:07, 1.44it/s] 75%|███████▌ | 30/40 [00:21<00:06, 1.44it/s] 78%|███████▊ | 31/40 [00:21<00:06, 1.43it/s] 80%|████████ | 32/40 [00:22<00:05, 1.43it/s] 82%|████████▎ | 33/40 [00:23<00:04, 1.43it/s] 85%|████████▌ | 34/40 [00:23<00:04, 1.43it/s] 88%|████████▊ | 35/40 [00:24<00:03, 1.43it/s] 90%|█████████ | 36/40 [00:25<00:02, 1.43it/s] 92%|█████████▎| 37/40 [00:26<00:02, 1.43it/s] 95%|█████████▌| 38/40 [00:26<00:01, 1.44it/s] 98%|█████████▊| 39/40 [00:27<00:00, 1.44it/s] 100%|██████████| 40/40 [00:28<00:00, 1.44it/s] 100%|██████████| 40/40 [00:28<00:00, 1.42it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 5.2ms preprocess, 7.9ms inference, 65.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:07, 3.06it/s] 9%|▊ | 2/23 [00:00<00:04, 4.46it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.23it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.67it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.94it/s] 26%|██▌ | 6/23 [00:01<00:02, 6.00it/s] 30%|███ | 7/23 [00:01<00:02, 6.05it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.17it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.27it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.35it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.41it/s] 52%|█████▏ | 12/23 [00:02<00:01, 6.40it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.28it/s] 61%|██████ | 14/23 [00:02<00:01, 6.29it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.33it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.38it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.42it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.43it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.39it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.40it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.41it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.12it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 9.5ms Speed: 3.3ms preprocess, 9.5ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.84it/s] 9%|▊ | 2/23 [00:00<00:03, 6.64it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.56it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.52it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.51it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.42it/s] 30%|███ | 7/23 [00:01<00:02, 6.42it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.43it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.44it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.41it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.40it/s] 61%|██████ | 14/23 [00:02<00:01, 6.40it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.40it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.39it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.41it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.40it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.41it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.43it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.41it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.41it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.67it/s] 9%|▊ | 2/23 [00:00<00:03, 6.58it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.54it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.54it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.39it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.31it/s] 30%|███ | 7/23 [00:01<00:02, 6.37it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.43it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.38it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.38it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.35it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.36it/s] 61%|██████ | 14/23 [00:02<00:01, 6.38it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.43it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.44it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.40it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.37it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.39it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.40it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.81it/s] 9%|▊ | 2/23 [00:00<00:03, 6.60it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.55it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.56it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.54it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.30it/s] 30%|███ | 7/23 [00:01<00:02, 6.29it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.34it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.36it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.40it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.43it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.42it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.36it/s] 61%|██████ | 14/23 [00:02<00:01, 6.37it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.39it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.41it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.42it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.43it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.32it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.34it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.35it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.83it/s] 9%|▊ | 2/23 [00:00<00:03, 6.64it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.43it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.48it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.49it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.42it/s] 30%|███ | 7/23 [00:01<00:02, 6.42it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.45it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.47it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.42it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.45it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.43it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.40it/s] 61%|██████ | 14/23 [00:02<00:01, 6.40it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.33it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.37it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.37it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.39it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.40it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.38it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.66it/s] 9%|▊ | 2/23 [00:00<00:03, 6.60it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.50it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.52it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.41it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.35it/s] 30%|███ | 7/23 [00:01<00:02, 6.40it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.43it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.46it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.49it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.43it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.37it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.36it/s] 61%|██████ | 14/23 [00:02<00:01, 6.36it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.42it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.38it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.35it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.35it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.40it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.44it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.44it/s] 9%|▊ | 2/23 [00:00<00:03, 6.49it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.52it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.54it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.53it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.41it/s] 30%|███ | 7/23 [00:01<00:02, 6.34it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.38it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.40it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.48it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.42it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.38it/s] 61%|██████ | 14/23 [00:02<00:01, 6.35it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.37it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.43it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.45it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.44it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.39it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.32it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.35it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.34it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.94it/s] 9%|▊ | 2/23 [00:00<00:03, 6.70it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.44it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.46it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.50it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.41it/s] 30%|███ | 7/23 [00:01<00:02, 6.39it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.44it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.46it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.47it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.39it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.37it/s] 61%|██████ | 14/23 [00:02<00:01, 6.37it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.38it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.43it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.41it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.34it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.37it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.38it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.39it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.63it/s] 9%|▊ | 2/23 [00:00<00:03, 6.54it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.56it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.54it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.39it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.34it/s] 30%|███ | 7/23 [00:01<00:02, 6.38it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.43it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.45it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.43it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.30it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.34it/s] 61%|██████ | 14/23 [00:02<00:01, 6.38it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.43it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.40it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.34it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.35it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.39it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.41it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.44it/s] 100%|██████████| 23/23 [00:03<00:00, 6.40it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.2ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.87it/s] 9%|▊ | 2/23 [00:00<00:03, 6.69it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.44it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.49it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.53it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.44it/s] 30%|███ | 7/23 [00:01<00:02, 6.37it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.39it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.44it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.48it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.50it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.45it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.37it/s] 61%|██████ | 14/23 [00:02<00:01, 6.35it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.39it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.45it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.43it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.40it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.41it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.42it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.44it/s] 100%|██████████| 23/23 [00:03<00:00, 6.44it/s] 100%|██████████| 23/23 [00:03<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.13it/s] 9%|▊ | 2/23 [00:00<00:03, 6.36it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.44it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.50it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.51it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.41it/s] 30%|███ | 7/23 [00:01<00:02, 6.32it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.39it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.43it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.45it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.44it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.40it/s] 61%|██████ | 14/23 [00:02<00:01, 6.36it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.40it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.42it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.44it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.45it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.42it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.41it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.41it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.42it/s] 100%|██████████| 23/23 [00:03<00:00, 6.46it/s] 100%|██████████| 23/23 [00:03<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.27it/s] 9%|▊ | 2/23 [00:00<00:03, 6.41it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.47it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.49it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.37it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.32it/s] 30%|███ | 7/23 [00:01<00:02, 6.32it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.38it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.42it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.45it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.45it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.41it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.41it/s] 61%|██████ | 14/23 [00:02<00:01, 6.37it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.36it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.39it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.41it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.39it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.38it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.38it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.43it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.46it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.