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Beautiful Oriental Outfits with RealVision XL
realvision-xl:v3.0
evevalentine2017
evevalentine2017
·
Jan 23
351
Input
prompt
Specify things to see in the output
Pokémon style art of (solo, full body photo:1.3), (Leaping with arms extended to the sides:1.3), (haze, fog, mist:1.3), chiaroscuro, traditional chinese landscape masterpiece, best quality, 32k uhd, insane details lace detailed, white thigh high stockings, garters, white ribbons in hair blouse, blazer, skirt, front view,
negative_prompt
Specify things to not see in the output
asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
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.
222064117
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++ SDE Karras
samping_steps
Number of denoising steps
32
cfg_scale
Scale for classifier-free guidance
5.5
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/285ebe3106544dd69dd084462db05195/00000-222064117.webp
https://files.tungsten.run/uploads/2b887f912f164be38c711a48665c66a5/00001-222064118.webp
https://files.tungsten.run/uploads/84e214b78633486ab2ae78701fd3740d/00002-222064119.webp
Finished in 363.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Pokémon style art of (solo, full body photo:1.3), (Leaping with arms extended to the sides:1.3), (haze, fog, mist:1.3), chiaroscuro, traditional chinese landscape masterpiece, best quality, 32k uhd, insane details lace detailed, white thigh high stockings, garters, white ribbons in hair blouse, blazer, skirt, front view, Full negative prompt: asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:04<02:04, 4.00s/it] 6%|▋ | 2/32 [00:09<02:29, 4.99s/it] 9%|▉ | 3/32 [00:15<02:35, 5.35s/it] 12%|█▎ | 4/32 [00:21<02:32, 5.44s/it] 16%|█▌ | 5/32 [00:26<02:31, 5.62s/it] 19%|█▉ | 6/32 [00:33<02:31, 5.84s/it] 22%|██▏ | 7/32 [00:39<02:25, 5.84s/it] 25%|██▌ | 8/32 [00:44<02:16, 5.70s/it] 28%|██▊ | 9/32 [00:50<02:12, 5.76s/it] 31%|███▏ | 10/32 [00:55<02:05, 5.71s/it] 34%|███▍ | 11/32 [01:01<01:59, 5.68s/it] 38%|███▊ | 12/32 [01:07<01:52, 5.62s/it] 41%|████ | 13/32 [01:12<01:46, 5.59s/it] 44%|████▍ | 14/32 [01:17<01:36, 5.38s/it] 47%|████▋ | 15/32 [01:22<01:31, 5.36s/it] 50%|█████ | 16/32 [01:27<01:22, 5.16s/it] 53%|█████▎ | 17/32 [01:32<01:14, 5.00s/it] 56%|█████▋ | 18/32 [01:37<01:11, 5.14s/it] 59%|█████▉ | 19/32 [01:42<01:06, 5.13s/it] 62%|██████▎ | 20/32 [01:48<01:02, 5.24s/it] 66%|██████▌ | 21/32 [01:53<00:58, 5.31s/it] 69%|██████▉ | 22/32 [01:58<00:50, 5.04s/it] 72%|███████▏ | 23/32 [02:02<00:42, 4.77s/it] 75%|███████▌ | 24/32 [02:06<00:36, 4.60s/it] 78%|███████▊ | 25/32 [02:10<00:32, 4.57s/it] 81%|████████▏ | 26/32 [02:15<00:27, 4.58s/it] 84%|████████▍ | 27/32 [02:20<00:22, 4.57s/it] 88%|████████▊ | 28/32 [02:25<00:19, 4.81s/it] 91%|█████████ | 29/32 [02:29<00:14, 4.70s/it] 94%|█████████▍| 30/32 [02:33<00:08, 4.40s/it] 97%|█████████▋| 31/32 [02:36<00:04, 4.05s/it] 100%|██████████| 32/32 [02:38<00:00, 3.24s/it] 100%|██████████| 32/32 [02:38<00:00, 4.94s/it] Decoding latents in cuda:0... done in 2.36s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 22.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.76s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.55s/it] 20%|██ | 3/15 [00:04<00:19, 1.59s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.63s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.53s/it] 40%|████ | 6/15 [00:09<00:12, 1.44s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.38s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.38s/it] 60%|██████ | 9/15 [00:13<00:08, 1.38s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.34s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.43s/it] 80%|████████ | 12/15 [00:17<00:04, 1.40s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.31s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.21s/it] 100%|██████████| 15/15 [00:19<00:00, 1.04it/s] 100%|██████████| 15/15 [00:19<00:00, 1.32s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.72s/it] 13%|█▎ | 2/15 [00:03<00:19, 1.53s/it] 20%|██ | 3/15 [00:04<00:19, 1.59s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.64s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.53s/it] 40%|████ | 6/15 [00:09<00:13, 1.45s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.41s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.41s/it] 60%|██████ | 9/15 [00:13<00:08, 1.42s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.37s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.45s/it] 80%|████████ | 12/15 [00:17<00:04, 1.42s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.33s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.22s/it] 100%|██████████| 15/15 [00:20<00:00, 1.03it/s] 100%|██████████| 15/15 [00:20<00:00, 1.34s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.76s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.54s/it] 20%|██ | 3/15 [00:04<00:19, 1.60s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.63s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.53s/it] 40%|████ | 6/15 [00:09<00:12, 1.43s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.38s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.38s/it] 60%|██████ | 9/15 [00:13<00:08, 1.38s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.34s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.44s/it] 80%|████████ | 12/15 [00:17<00:04, 1.41s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.32s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.22s/it] 100%|██████████| 15/15 [00:19<00:00, 1.03it/s] 100%|██████████| 15/15 [00:19<00:00, 1.33s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.73s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.55s/it] 20%|██ | 3/15 [00:04<00:19, 1.58s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.62s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.51s/it] 40%|████ | 6/15 [00:09<00:12, 1.42s/it] 47%|████▋ | 7/15 [00:10<00:10, 1.37s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.36s/it] 60%|██████ | 9/15 [00:12<00:08, 1.37s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.33s/it] 73%|███████▎ | 11/15 [00:15<00:05, 1.43s/it] 80%|████████ | 12/15 [00:17<00:04, 1.40s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.31s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.21s/it] 100%|██████████| 15/15 [00:19<00:00, 1.04it/s] 100%|██████████| 15/15 [00:19<00:00, 1.31s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:23, 1.68s/it] 13%|█▎ | 2/15 [00:03<00:19, 1.51s/it] 20%|██ | 3/15 [00:04<00:18, 1.56s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.61s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.50s/it] 40%|████ | 6/15 [00:08<00:12, 1.41s/it] 47%|████▋ | 7/15 [00:10<00:10, 1.36s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.36s/it] 60%|██████ | 9/15 [00:12<00:08, 1.37s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.34s/it] 73%|███████▎ | 11/15 [00:15<00:05, 1.42s/it] 80%|████████ | 12/15 [00:17<00:04, 1.39s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.30s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.21s/it] 100%|██████████| 15/15 [00:19<00:00, 1.04it/s] 100%|██████████| 15/15 [00:19<00:00, 1.31s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.78s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.60s/it] 20%|██ | 3/15 [00:05<00:20, 1.67s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.69s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.58s/it] 40%|████ | 6/15 [00:09<00:13, 1.47s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.43s/it] 53%|█████▎ | 8/15 [00:12<00:10, 1.46s/it] 60%|██████ | 9/15 [00:13<00:08, 1.45s/it] 67%|██████▋ | 10/15 [00:14<00:07, 1.40s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.48s/it] 80%|████████ | 12/15 [00:17<00:04, 1.43s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.34s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.23s/it] 100%|██████████| 15/15 [00:20<00:00, 1.02it/s] 100%|██████████| 15/15 [00:20<00:00, 1.36s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 4.6ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:23, 1.68s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.57s/it] 20%|██ | 3/15 [00:04<00:19, 1.61s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.65s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.53s/it] 40%|████ | 6/15 [00:09<00:12, 1.44s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.38s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.38s/it] 60%|██████ | 9/15 [00:13<00:08, 1.38s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.34s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.43s/it] 80%|████████ | 12/15 [00:17<00:04, 1.41s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.32s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.22s/it] 100%|██████████| 15/15 [00:19<00:00, 1.03it/s] 100%|██████████| 15/15 [00:19<00:00, 1.32s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 8.2ms Speed: 2.9ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:23, 1.68s/it] 13%|█▎ | 2/15 [00:03<00:19, 1.52s/it] 20%|██ | 3/15 [00:04<00:19, 1.60s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.63s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.52s/it] 40%|████ | 6/15 [00:09<00:12, 1.43s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.39s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.40s/it] 60%|██████ | 9/15 [00:13<00:08, 1.40s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.36s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.48s/it] 80%|████████ | 12/15 [00:17<00:04, 1.44s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.35s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.24s/it] 100%|██████████| 15/15 [00:20<00:00, 1.02it/s] 100%|██████████| 15/15 [00:20<00:00, 1.34s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.74s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.55s/it] 20%|██ | 3/15 [00:04<00:19, 1.60s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.64s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.54s/it] 40%|████ | 6/15 [00:09<00:12, 1.43s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.39s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.39s/it] 60%|██████ | 9/15 [00:13<00:08, 1.40s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.37s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.45s/it] 80%|████████ | 12/15 [00:17<00:04, 1.42s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.33s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.22s/it] 100%|██████████| 15/15 [00:20<00:00, 1.03it/s] 100%|██████████| 15/15 [00:20<00:00, 1.33s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Pokémon style art of (solo, full body photo:1.3), (Leaping with arms extended to the sides:1.3), (haze, fog, mist:1.3), chiaroscuro, traditional chinese landscape masterpiece, best quality, 32k uhd, insane details lace detailed, white thigh high stockings, garters, white ribbons in hair blouse, blazer, skirt, front view,
negative_prompt
Specify things to not see in the output
asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
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.
222064117
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++ SDE Karras
samping_steps
Number of denoising steps
32
cfg_scale
Scale for classifier-free guidance
5.5
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/285ebe3106544dd69dd084462db05195/00000-222064117.webp
https://files.tungsten.run/uploads/2b887f912f164be38c711a48665c66a5/00001-222064118.webp
https://files.tungsten.run/uploads/84e214b78633486ab2ae78701fd3740d/00002-222064119.webp
Finished in 363.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Pokémon style art of (solo, full body photo:1.3), (Leaping with arms extended to the sides:1.3), (haze, fog, mist:1.3), chiaroscuro, traditional chinese landscape masterpiece, best quality, 32k uhd, insane details lace detailed, white thigh high stockings, garters, white ribbons in hair blouse, blazer, skirt, front view, Full negative prompt: asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:04<02:04, 4.00s/it] 6%|▋ | 2/32 [00:09<02:29, 4.99s/it] 9%|▉ | 3/32 [00:15<02:35, 5.35s/it] 12%|█▎ | 4/32 [00:21<02:32, 5.44s/it] 16%|█▌ | 5/32 [00:26<02:31, 5.62s/it] 19%|█▉ | 6/32 [00:33<02:31, 5.84s/it] 22%|██▏ | 7/32 [00:39<02:25, 5.84s/it] 25%|██▌ | 8/32 [00:44<02:16, 5.70s/it] 28%|██▊ | 9/32 [00:50<02:12, 5.76s/it] 31%|███▏ | 10/32 [00:55<02:05, 5.71s/it] 34%|███▍ | 11/32 [01:01<01:59, 5.68s/it] 38%|███▊ | 12/32 [01:07<01:52, 5.62s/it] 41%|████ | 13/32 [01:12<01:46, 5.59s/it] 44%|████▍ | 14/32 [01:17<01:36, 5.38s/it] 47%|████▋ | 15/32 [01:22<01:31, 5.36s/it] 50%|█████ | 16/32 [01:27<01:22, 5.16s/it] 53%|█████▎ | 17/32 [01:32<01:14, 5.00s/it] 56%|█████▋ | 18/32 [01:37<01:11, 5.14s/it] 59%|█████▉ | 19/32 [01:42<01:06, 5.13s/it] 62%|██████▎ | 20/32 [01:48<01:02, 5.24s/it] 66%|██████▌ | 21/32 [01:53<00:58, 5.31s/it] 69%|██████▉ | 22/32 [01:58<00:50, 5.04s/it] 72%|███████▏ | 23/32 [02:02<00:42, 4.77s/it] 75%|███████▌ | 24/32 [02:06<00:36, 4.60s/it] 78%|███████▊ | 25/32 [02:10<00:32, 4.57s/it] 81%|████████▏ | 26/32 [02:15<00:27, 4.58s/it] 84%|████████▍ | 27/32 [02:20<00:22, 4.57s/it] 88%|████████▊ | 28/32 [02:25<00:19, 4.81s/it] 91%|█████████ | 29/32 [02:29<00:14, 4.70s/it] 94%|█████████▍| 30/32 [02:33<00:08, 4.40s/it] 97%|█████████▋| 31/32 [02:36<00:04, 4.05s/it] 100%|██████████| 32/32 [02:38<00:00, 3.24s/it] 100%|██████████| 32/32 [02:38<00:00, 4.94s/it] Decoding latents in cuda:0... done in 2.36s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 22.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.76s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.55s/it] 20%|██ | 3/15 [00:04<00:19, 1.59s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.63s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.53s/it] 40%|████ | 6/15 [00:09<00:12, 1.44s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.38s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.38s/it] 60%|██████ | 9/15 [00:13<00:08, 1.38s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.34s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.43s/it] 80%|████████ | 12/15 [00:17<00:04, 1.40s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.31s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.21s/it] 100%|██████████| 15/15 [00:19<00:00, 1.04it/s] 100%|██████████| 15/15 [00:19<00:00, 1.32s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.72s/it] 13%|█▎ | 2/15 [00:03<00:19, 1.53s/it] 20%|██ | 3/15 [00:04<00:19, 1.59s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.64s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.53s/it] 40%|████ | 6/15 [00:09<00:13, 1.45s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.41s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.41s/it] 60%|██████ | 9/15 [00:13<00:08, 1.42s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.37s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.45s/it] 80%|████████ | 12/15 [00:17<00:04, 1.42s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.33s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.22s/it] 100%|██████████| 15/15 [00:20<00:00, 1.03it/s] 100%|██████████| 15/15 [00:20<00:00, 1.34s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.76s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.54s/it] 20%|██ | 3/15 [00:04<00:19, 1.60s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.63s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.53s/it] 40%|████ | 6/15 [00:09<00:12, 1.43s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.38s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.38s/it] 60%|██████ | 9/15 [00:13<00:08, 1.38s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.34s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.44s/it] 80%|████████ | 12/15 [00:17<00:04, 1.41s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.32s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.22s/it] 100%|██████████| 15/15 [00:19<00:00, 1.03it/s] 100%|██████████| 15/15 [00:19<00:00, 1.33s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.73s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.55s/it] 20%|██ | 3/15 [00:04<00:19, 1.58s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.62s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.51s/it] 40%|████ | 6/15 [00:09<00:12, 1.42s/it] 47%|████▋ | 7/15 [00:10<00:10, 1.37s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.36s/it] 60%|██████ | 9/15 [00:12<00:08, 1.37s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.33s/it] 73%|███████▎ | 11/15 [00:15<00:05, 1.43s/it] 80%|████████ | 12/15 [00:17<00:04, 1.40s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.31s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.21s/it] 100%|██████████| 15/15 [00:19<00:00, 1.04it/s] 100%|██████████| 15/15 [00:19<00:00, 1.31s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:23, 1.68s/it] 13%|█▎ | 2/15 [00:03<00:19, 1.51s/it] 20%|██ | 3/15 [00:04<00:18, 1.56s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.61s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.50s/it] 40%|████ | 6/15 [00:08<00:12, 1.41s/it] 47%|████▋ | 7/15 [00:10<00:10, 1.36s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.36s/it] 60%|██████ | 9/15 [00:12<00:08, 1.37s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.34s/it] 73%|███████▎ | 11/15 [00:15<00:05, 1.42s/it] 80%|████████ | 12/15 [00:17<00:04, 1.39s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.30s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.21s/it] 100%|██████████| 15/15 [00:19<00:00, 1.04it/s] 100%|██████████| 15/15 [00:19<00:00, 1.31s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.78s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.60s/it] 20%|██ | 3/15 [00:05<00:20, 1.67s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.69s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.58s/it] 40%|████ | 6/15 [00:09<00:13, 1.47s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.43s/it] 53%|█████▎ | 8/15 [00:12<00:10, 1.46s/it] 60%|██████ | 9/15 [00:13<00:08, 1.45s/it] 67%|██████▋ | 10/15 [00:14<00:07, 1.40s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.48s/it] 80%|████████ | 12/15 [00:17<00:04, 1.43s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.34s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.23s/it] 100%|██████████| 15/15 [00:20<00:00, 1.02it/s] 100%|██████████| 15/15 [00:20<00:00, 1.36s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 4.6ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:23, 1.68s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.57s/it] 20%|██ | 3/15 [00:04<00:19, 1.61s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.65s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.53s/it] 40%|████ | 6/15 [00:09<00:12, 1.44s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.38s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.38s/it] 60%|██████ | 9/15 [00:13<00:08, 1.38s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.34s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.43s/it] 80%|████████ | 12/15 [00:17<00:04, 1.41s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.32s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.22s/it] 100%|██████████| 15/15 [00:19<00:00, 1.03it/s] 100%|██████████| 15/15 [00:19<00:00, 1.32s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 8.2ms Speed: 2.9ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:23, 1.68s/it] 13%|█▎ | 2/15 [00:03<00:19, 1.52s/it] 20%|██ | 3/15 [00:04<00:19, 1.60s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.63s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.52s/it] 40%|████ | 6/15 [00:09<00:12, 1.43s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.39s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.40s/it] 60%|██████ | 9/15 [00:13<00:08, 1.40s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.36s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.48s/it] 80%|████████ | 12/15 [00:17<00:04, 1.44s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.35s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.24s/it] 100%|██████████| 15/15 [00:20<00:00, 1.02it/s] 100%|██████████| 15/15 [00:20<00:00, 1.34s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.74s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.55s/it] 20%|██ | 3/15 [00:04<00:19, 1.60s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.64s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.54s/it] 40%|████ | 6/15 [00:09<00:12, 1.43s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.39s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.39s/it] 60%|██████ | 9/15 [00:13<00:08, 1.40s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.37s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.45s/it] 80%|████████ | 12/15 [00:17<00:04, 1.42s/it] 87%|████████▋ | 13/15 [00:18<00:02, 1.33s/it] 93%|█████████▎| 14/15 [00:19<00:01, 1.22s/it] 100%|██████████| 15/15 [00:20<00:00, 1.03it/s] 100%|██████████| 15/15 [00:20<00:00, 1.33s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.