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photonic-sdxl
photonic-sdxl

photonic-sdxl

9 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
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Output
https://files.tungsten.run/uploads/7b006ae1f9f240db9c0f87f242e0807b/output-83a37b93ed5c48bb94317d546c0e9fd4-00000-2563442070.webp
https://files.tungsten.run/uploads/79eadc697397445d932f9e302216ac9f/output-d6e79771449f4de2a13f1182b432cab4-00001-2563442071.webp
https://files.tungsten.run/uploads/4b6273844fd4406fbba7c069f1b35c09/output-5ed828866c394e8fbc12504804585225-00002-2563442072.webp
This example was created by evevalentine2017
Finished in 129.0 seconds
Full prompt: Martin Van Buren has been rebuilt. We have the technology. We can make him better than he was. Better. stronger. faster. He's going to save the economy this time, <lora:!action-sdxl-V0.5:0.51> zdyna_pose, action shot, retro, cyberpunk, fashion, style Full negative prompt: dull, boring, cartoon, painting, illustration, (worst quality, low quality, normal quality:1.8) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:57, 2.00s/it] 7%|▋ | 2/30 [00:03<00:43, 1.56s/it] 10%|█ | 3/30 [00:04<00:38, 1.41s/it] 13%|█▎ | 4/30 [00:05<00:34, 1.35s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.31s/it] 20%|██ | 6/30 [00:08<00:30, 1.29s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.27s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.27s/it] 30%|███ | 9/30 [00:11<00:26, 1.26s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.26s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.26s/it] 40%|████ | 12/30 [00:15<00:22, 1.25s/it] 43%|████▎ | 13/30 [00:16<00:21, 1.25s/it] 47%|████▋ | 14/30 [00:18<00:20, 1.25s/it] 50%|█████ | 15/30 [00:19<00:18, 1.26s/it] 53%|█████▎ | 16/30 [00:20<00:17, 1.26s/it] 57%|█████▋ | 17/30 [00:22<00:16, 1.26s/it] 60%|██████ | 18/30 [00:23<00:15, 1.26s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.26s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.26s/it] 70%|███████ | 21/30 [00:27<00:11, 1.26s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.26s/it] 77%|███████▋ | 23/30 [00:29<00:08, 1.26s/it] 80%|████████ | 24/30 [00:30<00:07, 1.26s/it] 83%|████████▎ | 25/30 [00:32<00:06, 1.27s/it] 87%|████████▋ | 26/30 [00:33<00:05, 1.27s/it] 90%|█████████ | 27/30 [00:34<00:03, 1.27s/it] 93%|█████████▎| 28/30 [00:35<00:02, 1.27s/it] 97%|█████████▋| 29/30 [00:37<00:01, 1.27s/it] 100%|██████████| 30/30 [00:38<00:00, 1.27s/it] 100%|██████████| 30/30 [00:38<00:00, 1.28s/it] Decoding latents in cuda:0... done in 2.28s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 6.3ms Speed: 2.4ms preprocess, 6.3ms inference, 18.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.42it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.56it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.57it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.56it/s] 50%|█████ | 7/14 [00:02<00:02, 2.58it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.57it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.57it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.58it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.57it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.58it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.58it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.59it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.57it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.57it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.58it/s] 50%|█████ | 7/14 [00:02<00:02, 2.58it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.57it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.57it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.57it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.58it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.58it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 5.7ms Speed: 2.3ms preprocess, 5.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.65it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.62it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.58it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.58it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.57it/s] 50%|█████ | 7/14 [00:02<00:02, 2.57it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.56it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.57it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.57it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.56it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.57it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.59it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.58it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.57it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.58it/s] 50%|█████ | 7/14 [00:02<00:02, 2.58it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.57it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.57it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.57it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.58it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.57it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.58it/s] 100%|██████████| 14/14 [00:05<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.61it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.53it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.53it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.54it/s] 50%|█████ | 7/14 [00:02<00:02, 2.53it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.54it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.54it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.53it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.53it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.53it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 6 faces, 5.7ms Speed: 2.3ms preprocess, 5.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.67it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.64it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.56it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.55it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.56it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.54it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.53it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.53it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.54it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.54it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.55it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.53it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.52it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.53it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.53it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.53it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.52it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.52it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.52it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.53it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.52it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.52it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.52it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.52it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.52it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.53it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.52it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.51it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.52it/s] 50%|█████ | 7/14 [00:02<00:02, 2.52it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.51it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.51it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.51it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.51it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.52it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.59it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.53it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.52it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.52it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.52it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.51it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.52it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.51it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.51it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.51it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.51it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.51it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.52it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.51it/s] 50%|█████ | 7/14 [00:02<00:02, 2.51it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.51it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.51it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.51it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.51it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
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https://files.tungsten.run/uploads/7b006ae1f9f240db9c0f87f242e0807b/output-83a37b93ed5c48bb94317d546c0e9fd4-00000-2563442070.webp
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This example was created by evevalentine2017
Finished in 129.0 seconds
Full prompt: Martin Van Buren has been rebuilt. We have the technology. We can make him better than he was. Better. stronger. faster. He's going to save the economy this time, <lora:!action-sdxl-V0.5:0.51> zdyna_pose, action shot, retro, cyberpunk, fashion, style Full negative prompt: dull, boring, cartoon, painting, illustration, (worst quality, low quality, normal quality:1.8) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:57, 2.00s/it] 7%|▋ | 2/30 [00:03<00:43, 1.56s/it] 10%|█ | 3/30 [00:04<00:38, 1.41s/it] 13%|█▎ | 4/30 [00:05<00:34, 1.35s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.31s/it] 20%|██ | 6/30 [00:08<00:30, 1.29s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.27s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.27s/it] 30%|███ | 9/30 [00:11<00:26, 1.26s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.26s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.26s/it] 40%|████ | 12/30 [00:15<00:22, 1.25s/it] 43%|████▎ | 13/30 [00:16<00:21, 1.25s/it] 47%|████▋ | 14/30 [00:18<00:20, 1.25s/it] 50%|█████ | 15/30 [00:19<00:18, 1.26s/it] 53%|█████▎ | 16/30 [00:20<00:17, 1.26s/it] 57%|█████▋ | 17/30 [00:22<00:16, 1.26s/it] 60%|██████ | 18/30 [00:23<00:15, 1.26s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.26s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.26s/it] 70%|███████ | 21/30 [00:27<00:11, 1.26s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.26s/it] 77%|███████▋ | 23/30 [00:29<00:08, 1.26s/it] 80%|████████ | 24/30 [00:30<00:07, 1.26s/it] 83%|████████▎ | 25/30 [00:32<00:06, 1.27s/it] 87%|████████▋ | 26/30 [00:33<00:05, 1.27s/it] 90%|█████████ | 27/30 [00:34<00:03, 1.27s/it] 93%|█████████▎| 28/30 [00:35<00:02, 1.27s/it] 97%|█████████▋| 29/30 [00:37<00:01, 1.27s/it] 100%|██████████| 30/30 [00:38<00:00, 1.27s/it] 100%|██████████| 30/30 [00:38<00:00, 1.28s/it] Decoding latents in cuda:0... done in 2.28s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 6.3ms Speed: 2.4ms preprocess, 6.3ms inference, 18.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.42it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.56it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.57it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.56it/s] 50%|█████ | 7/14 [00:02<00:02, 2.58it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.57it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.57it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.58it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.57it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.58it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.58it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.59it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.57it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.57it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.58it/s] 50%|█████ | 7/14 [00:02<00:02, 2.58it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.57it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.57it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.57it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.58it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.58it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 5.7ms Speed: 2.3ms preprocess, 5.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.65it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.62it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.58it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.58it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.57it/s] 50%|█████ | 7/14 [00:02<00:02, 2.57it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.56it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.57it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.57it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.56it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.57it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.59it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.58it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.57it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.58it/s] 50%|█████ | 7/14 [00:02<00:02, 2.58it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.57it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.57it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.57it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.58it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.57it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 2.58it/s] 100%|██████████| 14/14 [00:05<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.61it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.53it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.53it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.54it/s] 50%|█████ | 7/14 [00:02<00:02, 2.53it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.54it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.54it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.53it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.53it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.53it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 6 faces, 5.7ms Speed: 2.3ms preprocess, 5.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.67it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.64it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.56it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.55it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.56it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.54it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.53it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.53it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.54it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.54it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.55it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.53it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.52it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.53it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.53it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.53it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.52it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.52it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.52it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.53it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.52it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.52it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.52it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.52it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.52it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.53it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.52it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.51it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.52it/s] 50%|█████ | 7/14 [00:02<00:02, 2.52it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.51it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.51it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.51it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.51it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.52it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.59it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.53it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.52it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.52it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.52it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.51it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.52it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.51it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.51it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.51it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.51it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.51it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.52it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.51it/s] 50%|█████ | 7/14 [00:02<00:02, 2.51it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.51it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.51it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.51it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.52it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.51it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s Uploading files.. Finished.