Skating Girls with Enjoy Pandora XL
Input
prompt
Specify things to see in the output
girl performing tricks on a skateboard, half pipe, punk, adventurecore, cybergrunge, impressionism, realistic, detailed, Cinematic light, intricate detail, highres, detailed facial features, high detail, sharp focus, smooth, aesthetic, extremely detailed, octane render
negative_prompt
Specify things to not see in the output
(more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1452464869
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
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
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/244172646cce428fab3b8528f32332eb/00000-1452464869.webp
https://files.tungsten.run/uploads/8f51d6f2cb94443abf754bc93f78ff18/00001-1452464870.webp
https://files.tungsten.run/uploads/39b0d0602f194359b996c2964a7024b0/00002-1452464871.webp
Finished in 274.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: girl performing tricks on a skateboard, half pipe, punk, adventurecore, cybergrunge, impressionism, realistic, detailed, Cinematic light, intricate detail, highres, detailed facial features, high detail, sharp focus, smooth, aesthetic, extremely detailed, octane render Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:22, 2.12s/it] 5%|▌ | 2/40 [00:04<01:31, 2.42s/it] 8%|▊ | 3/40 [00:07<01:37, 2.63s/it] 10%|█ | 4/40 [00:10<01:36, 2.69s/it] 12%|█▎ | 5/40 [00:13<01:34, 2.71s/it] 15%|█▌ | 6/40 [00:15<01:32, 2.72s/it] 18%|█▊ | 7/40 [00:18<01:31, 2.77s/it] 20%|██ | 8/40 [00:21<01:28, 2.76s/it] 22%|██▎ | 9/40 [00:24<01:27, 2.81s/it] 25%|██▌ | 10/40 [00:27<01:23, 2.79s/it] 28%|██▊ | 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[01:31<00:15, 2.56s/it] 88%|████████▊ | 35/40 [01:34<00:13, 2.64s/it] 90%|█████████ | 36/40 [01:37<00:10, 2.54s/it] 92%|█████████▎| 37/40 [01:39<00:07, 2.58s/it] 95%|█████████▌| 38/40 [01:42<00:05, 2.52s/it] 98%|█████████▊| 39/40 [01:43<00:02, 2.25s/it] 100%|██████████| 40/40 [01:45<00:00, 1.99s/it] 100%|██████████| 40/40 [01:45<00:00, 2.63s/it] Decoding latents in cuda:0... done in 2.42s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.6ms preprocess, 7.9ms inference, 22.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:15, 1.14it/s] 11%|█ | 2/19 [00:01<00:14, 1.21it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.16it/s] 21%|██ | 4/19 [00:03<00:12, 1.23it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.21it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.21it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.21it/s] 42%|████▏ | 8/19 [00:06<00:09, 1.22it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.20it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.24it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.29it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.25it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.31it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.32it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.35it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.31it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.34it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.49it/s] 100%|██████████| 19/19 [00:14<00:00, 1.70it/s] 100%|██████████| 19/19 [00:14<00:00, 1.33it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.25it/s] 11%|█ | 2/19 [00:01<00:13, 1.27it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.19it/s] 21%|██ | 4/19 [00:03<00:12, 1.25it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.24it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.23it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.23it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.23it/s] 47%|████▋ | 9/19 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[00:07<00:08, 1.21it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.24it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.30it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.28it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.32it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.33it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.37it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.32it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.34it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.50it/s] 100%|██████████| 19/19 [00:14<00:00, 1.71it/s] 100%|██████████| 19/19 [00:14<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 3.1ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.28it/s] 11%|█ | 2/19 [00:01<00:13, 1.29it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.22it/s] 21%|██ | 4/19 [00:03<00:11, 1.27it/s] 26%|██▋ | 5/19 [00:03<00:11, 1.26it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.25it/s] 37%|███▋ | 7/19 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[00:06<00:08, 1.25it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.22it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.26it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.32it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.29it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.34it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.36it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.39it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.34it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.36it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.51it/s] 100%|██████████| 19/19 [00:14<00:00, 1.72it/s] 100%|██████████| 19/19 [00:14<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.25it/s] 11%|█ | 2/19 [00:01<00:13, 1.26it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.19it/s] 21%|██ | 4/19 [00:03<00:12, 1.24it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.23it/s] 32%|███▏ | 6/19 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Finished.
prompt
Specify things to see in the output
girl performing tricks on a skateboard, half pipe, punk, adventurecore, cybergrunge, impressionism, realistic, detailed, Cinematic light, intricate detail, highres, detailed facial features, high detail, sharp focus, smooth, aesthetic, extremely detailed, octane render
negative_prompt
Specify things to not see in the output
(more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1452464869
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
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
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/244172646cce428fab3b8528f32332eb/00000-1452464869.webp
https://files.tungsten.run/uploads/8f51d6f2cb94443abf754bc93f78ff18/00001-1452464870.webp
https://files.tungsten.run/uploads/39b0d0602f194359b996c2964a7024b0/00002-1452464871.webp
Finished in 274.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: girl performing tricks on a skateboard, half pipe, punk, adventurecore, cybergrunge, impressionism, realistic, detailed, Cinematic light, intricate detail, highres, detailed facial features, high detail, sharp focus, smooth, aesthetic, extremely detailed, octane render Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:22, 2.12s/it] 5%|▌ | 2/40 [00:04<01:31, 2.42s/it] 8%|▊ | 3/40 [00:07<01:37, 2.63s/it] 10%|█ | 4/40 [00:10<01:36, 2.69s/it] 12%|█▎ | 5/40 [00:13<01:34, 2.71s/it] 15%|█▌ | 6/40 [00:15<01:32, 2.72s/it] 18%|█▊ | 7/40 [00:18<01:31, 2.77s/it] 20%|██ | 8/40 [00:21<01:28, 2.76s/it] 22%|██▎ | 9/40 [00:24<01:27, 2.81s/it] 25%|██▌ | 10/40 [00:27<01:23, 2.79s/it] 28%|██▊ | 11/40 [00:29<01:19, 2.74s/it] 30%|███ | 12/40 [00:32<01:18, 2.81s/it] 32%|███▎ | 13/40 [00:35<01:16, 2.82s/it] 35%|███▌ | 14/40 [00:38<01:11, 2.76s/it] 38%|███▊ | 15/40 [00:41<01:09, 2.77s/it] 40%|████ | 16/40 [00:43<01:05, 2.73s/it] 42%|████▎ | 17/40 [00:46<01:03, 2.78s/it] 45%|████▌ | 18/40 [00:49<01:00, 2.76s/it] 48%|████▊ | 19/40 [00:52<00:58, 2.77s/it] 50%|█████ | 20/40 [00:54<00:54, 2.72s/it] 52%|█████▎ | 21/40 [00:57<00:51, 2.69s/it] 55%|█████▌ | 22/40 [00:59<00:48, 2.69s/it] 57%|█████▊ | 23/40 [01:02<00:44, 2.63s/it] 60%|██████ | 24/40 [01:05<00:43, 2.74s/it] 62%|██████▎ | 25/40 [01:07<00:39, 2.66s/it] 65%|██████▌ | 26/40 [01:10<00:37, 2.68s/it] 68%|██████▊ | 27/40 [01:13<00:35, 2.71s/it] 70%|███████ | 28/40 [01:16<00:33, 2.77s/it] 72%|███████▎ | 29/40 [01:19<00:30, 2.77s/it] 75%|███████▌ | 30/40 [01:21<00:27, 2.77s/it] 78%|███████▊ | 31/40 [01:24<00:24, 2.69s/it] 80%|████████ | 32/40 [01:26<00:20, 2.61s/it] 82%|████████▎ | 33/40 [01:29<00:18, 2.68s/it] 85%|████████▌ | 34/40 [01:31<00:15, 2.56s/it] 88%|████████▊ | 35/40 [01:34<00:13, 2.64s/it] 90%|█████████ | 36/40 [01:37<00:10, 2.54s/it] 92%|█████████▎| 37/40 [01:39<00:07, 2.58s/it] 95%|█████████▌| 38/40 [01:42<00:05, 2.52s/it] 98%|█████████▊| 39/40 [01:43<00:02, 2.25s/it] 100%|██████████| 40/40 [01:45<00:00, 1.99s/it] 100%|██████████| 40/40 [01:45<00:00, 2.63s/it] Decoding latents in cuda:0... done in 2.42s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.6ms preprocess, 7.9ms inference, 22.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:15, 1.14it/s] 11%|█ | 2/19 [00:01<00:14, 1.21it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.16it/s] 21%|██ | 4/19 [00:03<00:12, 1.23it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.21it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.21it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.21it/s] 42%|████▏ | 8/19 [00:06<00:09, 1.22it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.20it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.24it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.29it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.25it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.31it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.32it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.35it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.31it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.34it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.49it/s] 100%|██████████| 19/19 [00:14<00:00, 1.70it/s] 100%|██████████| 19/19 [00:14<00:00, 1.33it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.25it/s] 11%|█ | 2/19 [00:01<00:13, 1.27it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.19it/s] 21%|██ | 4/19 [00:03<00:12, 1.25it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.24it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.23it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.23it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.23it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.20it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.24it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.30it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.28it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.33it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.34it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.37it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.33it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.35it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.51it/s] 100%|██████████| 19/19 [00:14<00:00, 1.72it/s] 100%|██████████| 19/19 [00:14<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.25it/s] 11%|█ | 2/19 [00:01<00:13, 1.28it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.21it/s] 21%|██ | 4/19 [00:03<00:11, 1.26it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.23it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.22it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.22it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.23it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.19it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.23it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.30it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.27it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.32it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.34it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.38it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.33it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.35it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.51it/s] 100%|██████████| 19/19 [00:14<00:00, 1.71it/s] 100%|██████████| 19/19 [00:14<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.21it/s] 11%|█ | 2/19 [00:01<00:13, 1.26it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.20it/s] 21%|██ | 4/19 [00:03<00:12, 1.25it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.23it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.22it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.23it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.24it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.21it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.25it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.31it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.29it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.33it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.34it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.37it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.32it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.34it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.50it/s] 100%|██████████| 19/19 [00:14<00:00, 1.71it/s] 100%|██████████| 19/19 [00:14<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.25it/s] 11%|█ | 2/19 [00:01<00:13, 1.28it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.21it/s] 21%|██ | 4/19 [00:03<00:11, 1.27it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.24it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.23it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.22it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.24it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.21it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.24it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.30it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.28it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.32it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.33it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.37it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.32it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.34it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.50it/s] 100%|██████████| 19/19 [00:14<00:00, 1.71it/s] 100%|██████████| 19/19 [00:14<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 3.1ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.28it/s] 11%|█ | 2/19 [00:01<00:13, 1.29it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.22it/s] 21%|██ | 4/19 [00:03<00:11, 1.27it/s] 26%|██▋ | 5/19 [00:03<00:11, 1.26it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.25it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.24it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.26it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.23it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.27it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.32it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.29it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.34it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.35it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.38it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.34it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.36it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.52it/s] 100%|██████████| 19/19 [00:13<00:00, 1.73it/s] 100%|██████████| 19/19 [00:13<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.21it/s] 11%|█ | 2/19 [00:01<00:13, 1.26it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.20it/s] 21%|██ | 4/19 [00:03<00:11, 1.26it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.24it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.24it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.24it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.25it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.22it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.26it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.32it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.29it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.34it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.36it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.39it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.34it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.36it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.51it/s] 100%|██████████| 19/19 [00:14<00:00, 1.72it/s] 100%|██████████| 19/19 [00:14<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.25it/s] 11%|█ | 2/19 [00:01<00:13, 1.26it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.19it/s] 21%|██ | 4/19 [00:03<00:12, 1.24it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.23it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.22it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.22it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.24it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.20it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.24it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.30it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.27it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.32it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.34it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.38it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.33it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.35it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.51it/s] 100%|██████████| 19/19 [00:14<00:00, 1.72it/s] 100%|██████████| 19/19 [00:14<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 3.1ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.26it/s] 11%|█ | 2/19 [00:01<00:13, 1.28it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.21it/s] 21%|██ | 4/19 [00:03<00:11, 1.26it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.24it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.22it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.23it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.24it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.22it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.25it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.31it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.29it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.34it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.35it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.39it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.34it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.35it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.51it/s] 100%|██████████| 19/19 [00:14<00:00, 1.72it/s] 100%|██████████| 19/19 [00:14<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.24it/s] 11%|█ | 2/19 [00:01<00:13, 1.28it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.22it/s] 21%|██ | 4/19 [00:03<00:11, 1.27it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.24it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.22it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.22it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.23it/s] 47%|████▋ | 9/19 [00:07<00:08, 1.21it/s] 53%|█████▎ | 10/19 [00:08<00:07, 1.25it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.31it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.29it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.33it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.35it/s] 79%|███████▉ | 15/19 [00:11<00:02, 1.38it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.34it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.36it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.52it/s] 100%|██████████| 19/19 [00:14<00:00, 1.73it/s] 100%|██████████| 19/19 [00:14<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s Uploading outputs... Finished.