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Cute Tan Asians with RealVision XL
realvision-xl:v3.0
evevalentine2017
evevalentine2017
·
Jan 23
346
Input
prompt
Specify things to see in the output
photo of Black skin Japanese maid, a girl wearing sheer translucent gossamer, Beautiful and elegant, small breasts,(photo_(medium):1.1), realistic, reality, Coffee shop, wax candle, Dim light, sfw,
negative_prompt
Specify things to not see in the output
nsfw, nipples, text, watermark, undersaturated colors, washed out, static, still, instantaneous, unchanging, camera, blurry
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.
2649040867
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
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/8b282142d4fe4b9690ec5fa64ce31bcf/00000-2649040867.webp
https://files.tungsten.run/uploads/5b14a77c8f044d02af49890d0428bdce/00001-2649040868.webp
https://files.tungsten.run/uploads/2ea4c56dfbe440f8aca1158655536856/00002-2649040869.webp
Finished in 403.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photo of Black skin Japanese maid, a girl wearing sheer translucent gossamer, Beautiful and elegant, small breasts,(photo_(medium):1.1), realistic, reality, Coffee shop, wax candle, Dim light, sfw, Full negative prompt: nsfw, nipples, text, watermark, undersaturated colors, washed out, static, still, instantaneous, unchanging, camera, blurry 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:04<02:45, 4.24s/it] 5%|▌ | 2/40 [00:09<03:05, 4.89s/it] 8%|▊ | 3/40 [00:15<03:17, 5.33s/it] 10%|█ | 4/40 [00:21<03:19, 5.54s/it] 12%|█▎ | 5/40 [00:27<03:18, 5.66s/it] 15%|█▌ | 6/40 [00:32<03:12, 5.67s/it] 18%|█▊ | 7/40 [00:38<03:09, 5.76s/it] 20%|██ | 8/40 [00:44<03:02, 5.70s/it] 22%|██▎ | 9/40 [00:49<02:55, 5.66s/it] 25%|██▌ | 10/40 [00:55<02:48, 5.63s/it] 28%|██▊ | 11/40 [01:02<02:59, 6.19s/it] 30%|███ | 12/40 [01:08<02:49, 6.06s/it] 32%|███▎ | 13/40 [01:14<02:39, 5.90s/it] 35%|███▌ | 14/40 [01:19<02:29, 5.74s/it] 38%|███▊ | 15/40 [01:25<02:22, 5.70s/it] 40%|████ | 16/40 [01:30<02:14, 5.58s/it] 42%|████▎ | 17/40 [01:36<02:07, 5.56s/it] 45%|████▌ | 18/40 [01:41<02:01, 5.52s/it] 48%|████▊ | 19/40 [01:46<01:55, 5.50s/it] 50%|█████ | 20/40 [01:52<01:48, 5.43s/it] 52%|█████▎ | 21/40 [01:57<01:39, 5.24s/it] 55%|█████▌ | 22/40 [02:01<01:29, 4.96s/it] 57%|█████▊ | 23/40 [02:06<01:26, 5.09s/it] 60%|██████ | 24/40 [02:12<01:23, 5.24s/it] 62%|██████▎ | 25/40 [02:16<01:14, 5.00s/it] 65%|██████▌ | 26/40 [02:21<01:10, 5.01s/it] 68%|██████▊ | 27/40 [02:26<01:06, 5.08s/it] 70%|███████ | 28/40 [02:31<00:59, 4.97s/it] 72%|███████▎ | 29/40 [02:37<00:56, 5.10s/it] 75%|███████▌ | 30/40 [02:42<00:51, 5.16s/it] 78%|███████▊ | 31/40 [02:46<00:44, 4.92s/it] 80%|████████ | 32/40 [02:50<00:37, 4.64s/it] 82%|████████▎ | 33/40 [02:55<00:32, 4.61s/it] 85%|████████▌ | 34/40 [02:59<00:26, 4.45s/it] 88%|████████▊ | 35/40 [03:03<00:22, 4.43s/it] 90%|█████████ | 36/40 [03:07<00:17, 4.27s/it] 92%|█████████▎| 37/40 [03:12<00:12, 4.30s/it] 95%|█████████▌| 38/40 [03:16<00:08, 4.46s/it] 98%|█████████▊| 39/40 [03:20<00:04, 4.20s/it] 100%|██████████| 40/40 [03:21<00:00, 3.35s/it] 100%|██████████| 40/40 [03:21<00:00, 5.05s/it] Decoding latents in cuda:0... done in 2.38s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 18.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:25, 1.42s/it] 11%|█ | 2/19 [00:03<00:26, 1.55s/it] 16%|█▌ | 3/19 [00:04<00:26, 1.63s/it] 21%|██ | 4/19 [00:06<00:23, 1.53s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.54s/it] 32%|███▏ | 6/19 [00:09<00:20, 1.57s/it] 37%|███▋ | 7/19 [00:10<00:18, 1.52s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.53s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.56s/it] 53%|█████▎ | 10/19 [00:15<00:13, 1.49s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.40s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.42s/it] 68%|██████▊ | 13/19 [00:19<00:08, 1.36s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.35s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.30s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.31s/it] 89%|████████▉ | 17/19 [00:24<00:02, 1.30s/it] 95%|█████████▍| 18/19 [00:25<00:01, 1.24s/it] 100%|██████████| 19/19 [00:25<00:00, 1.01it/s] 100%|██████████| 19/19 [00:25<00:00, 1.36s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.7ms Speed: 3.6ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:25, 1.39s/it] 11%|█ | 2/19 [00:03<00:26, 1.57s/it] 16%|█▌ | 3/19 [00:04<00:26, 1.65s/it] 21%|██ | 4/19 [00:06<00:23, 1.53s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.53s/it] 32%|███▏ | 6/19 [00:09<00:20, 1.58s/it] 37%|███▋ | 7/19 [00:10<00:18, 1.55s/it] 42%|████▏ | 8/19 [00:12<00:17, 1.56s/it] 47%|████▋ | 9/19 [00:14<00:15, 1.59s/it] 53%|█████▎ | 10/19 [00:15<00:13, 1.51s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.42s/it] 63%|██████▎ | 12/19 [00:18<00:09, 1.41s/it] 68%|██████▊ | 13/19 [00:19<00:08, 1.35s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.35s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.30s/it] 84%|████████▍ | 16/19 [00:23<00:03, 1.31s/it] 89%|████████▉ | 17/19 [00:24<00:02, 1.30s/it] 95%|█████████▍| 18/19 [00:25<00:01, 1.24s/it] 100%|██████████| 19/19 [00:25<00:00, 1.01it/s] 100%|██████████| 19/19 [00:25<00:00, 1.36s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 3.5ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:24, 1.35s/it] 11%|█ | 2/19 [00:02<00:25, 1.51s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.62s/it] 21%|██ | 4/19 [00:06<00:22, 1.51s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.52s/it] 32%|███▏ | 6/19 [00:09<00:20, 1.55s/it] 37%|███▋ | 7/19 [00:10<00:18, 1.51s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.52s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.55s/it] 53%|█████▎ | 10/19 [00:15<00:13, 1.47s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.38s/it] 68%|██████▊ | 13/19 [00:18<00:08, 1.34s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.29s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.30s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.29s/it] 95%|█████████▍| 18/19 [00:25<00:01, 1.23s/it] 100%|██████████| 19/19 [00:25<00:00, 1.02it/s] 100%|██████████| 19/19 [00:25<00:00, 1.34s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:24, 1.34s/it] 11%|█ | 2/19 [00:02<00:25, 1.49s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.59s/it] 21%|██ | 4/19 [00:05<00:22, 1.48s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.51s/it] 32%|███▏ | 6/19 [00:09<00:19, 1.53s/it] 37%|███▋ | 7/19 [00:10<00:17, 1.49s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.50s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.53s/it] 53%|█████▎ | 10/19 [00:14<00:13, 1.47s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.37s/it] 68%|██████▊ | 13/19 [00:18<00:07, 1.32s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.28s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.29s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.28s/it] 95%|█████████▍| 18/19 [00:24<00:01, 1.22s/it] 100%|██████████| 19/19 [00:25<00:00, 1.03it/s] 100%|██████████| 19/19 [00:25<00:00, 1.33s/it] 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 [00:01<00:24, 1.35s/it] 11%|█ | 2/19 [00:02<00:25, 1.50s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.60s/it] 21%|██ | 4/19 [00:06<00:22, 1.50s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.50s/it] 32%|███▏ | 6/19 [00:09<00:19, 1.53s/it] 37%|███▋ | 7/19 [00:10<00:17, 1.49s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.51s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.54s/it] 53%|█████▎ | 10/19 [00:14<00:13, 1.46s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.37s/it] 68%|██████▊ | 13/19 [00:18<00:07, 1.33s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.27s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.28s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.28s/it] 95%|█████████▍| 18/19 [00:24<00:01, 1.22s/it] 100%|██████████| 19/19 [00:25<00:00, 1.03it/s] 100%|██████████| 19/19 [00:25<00:00, 1.33s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:23, 1.33s/it] 11%|█ | 2/19 [00:02<00:25, 1.47s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.57s/it] 21%|██ | 4/19 [00:05<00:22, 1.48s/it] 26%|██▋ | 5/19 [00:07<00:20, 1.49s/it] 32%|███▏ | 6/19 [00:09<00:19, 1.52s/it] 37%|███▋ | 7/19 [00:10<00:17, 1.48s/it] 42%|████▏ | 8/19 [00:11<00:16, 1.50s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.52s/it] 53%|█████▎ | 10/19 [00:14<00:13, 1.45s/it] 58%|█████▊ | 11/19 [00:15<00:10, 1.36s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.36s/it] 68%|██████▊ | 13/19 [00:18<00:07, 1.31s/it] 74%|███████▎ | 14/19 [00:19<00:06, 1.31s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.26s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.27s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.27s/it] 95%|█████████▍| 18/19 [00:24<00:01, 1.20s/it] 100%|██████████| 19/19 [00:25<00:00, 1.04it/s] 100%|██████████| 19/19 [00:25<00:00, 1.32s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.4ms Speed: 3.0ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:24, 1.35s/it] 11%|█ | 2/19 [00:03<00:26, 1.55s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.62s/it] 21%|██ | 4/19 [00:06<00:22, 1.51s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.53s/it] 32%|███▏ | 6/19 [00:09<00:20, 1.54s/it] 37%|███▋ | 7/19 [00:10<00:18, 1.50s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.52s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.55s/it] 53%|█████▎ | 10/19 [00:15<00:13, 1.47s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.38s/it] 68%|██████▊ | 13/19 [00:18<00:07, 1.33s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.28s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.29s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.29s/it] 95%|█████████▍| 18/19 [00:25<00:01, 1.23s/it] 100%|██████████| 19/19 [00:25<00:00, 1.02it/s] 100%|██████████| 19/19 [00:25<00:00, 1.34s/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
photo of Black skin Japanese maid, a girl wearing sheer translucent gossamer, Beautiful and elegant, small breasts,(photo_(medium):1.1), realistic, reality, Coffee shop, wax candle, Dim light, sfw,
negative_prompt
Specify things to not see in the output
nsfw, nipples, text, watermark, undersaturated colors, washed out, static, still, instantaneous, unchanging, camera, blurry
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.
2649040867
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
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/8b282142d4fe4b9690ec5fa64ce31bcf/00000-2649040867.webp
https://files.tungsten.run/uploads/5b14a77c8f044d02af49890d0428bdce/00001-2649040868.webp
https://files.tungsten.run/uploads/2ea4c56dfbe440f8aca1158655536856/00002-2649040869.webp
Finished in 403.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photo of Black skin Japanese maid, a girl wearing sheer translucent gossamer, Beautiful and elegant, small breasts,(photo_(medium):1.1), realistic, reality, Coffee shop, wax candle, Dim light, sfw, Full negative prompt: nsfw, nipples, text, watermark, undersaturated colors, washed out, static, still, instantaneous, unchanging, camera, blurry 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:04<02:45, 4.24s/it] 5%|▌ | 2/40 [00:09<03:05, 4.89s/it] 8%|▊ | 3/40 [00:15<03:17, 5.33s/it] 10%|█ | 4/40 [00:21<03:19, 5.54s/it] 12%|█▎ | 5/40 [00:27<03:18, 5.66s/it] 15%|█▌ | 6/40 [00:32<03:12, 5.67s/it] 18%|█▊ | 7/40 [00:38<03:09, 5.76s/it] 20%|██ | 8/40 [00:44<03:02, 5.70s/it] 22%|██▎ | 9/40 [00:49<02:55, 5.66s/it] 25%|██▌ | 10/40 [00:55<02:48, 5.63s/it] 28%|██▊ | 11/40 [01:02<02:59, 6.19s/it] 30%|███ | 12/40 [01:08<02:49, 6.06s/it] 32%|███▎ | 13/40 [01:14<02:39, 5.90s/it] 35%|███▌ | 14/40 [01:19<02:29, 5.74s/it] 38%|███▊ | 15/40 [01:25<02:22, 5.70s/it] 40%|████ | 16/40 [01:30<02:14, 5.58s/it] 42%|████▎ | 17/40 [01:36<02:07, 5.56s/it] 45%|████▌ | 18/40 [01:41<02:01, 5.52s/it] 48%|████▊ | 19/40 [01:46<01:55, 5.50s/it] 50%|█████ | 20/40 [01:52<01:48, 5.43s/it] 52%|█████▎ | 21/40 [01:57<01:39, 5.24s/it] 55%|█████▌ | 22/40 [02:01<01:29, 4.96s/it] 57%|█████▊ | 23/40 [02:06<01:26, 5.09s/it] 60%|██████ | 24/40 [02:12<01:23, 5.24s/it] 62%|██████▎ | 25/40 [02:16<01:14, 5.00s/it] 65%|██████▌ | 26/40 [02:21<01:10, 5.01s/it] 68%|██████▊ | 27/40 [02:26<01:06, 5.08s/it] 70%|███████ | 28/40 [02:31<00:59, 4.97s/it] 72%|███████▎ | 29/40 [02:37<00:56, 5.10s/it] 75%|███████▌ | 30/40 [02:42<00:51, 5.16s/it] 78%|███████▊ | 31/40 [02:46<00:44, 4.92s/it] 80%|████████ | 32/40 [02:50<00:37, 4.64s/it] 82%|████████▎ | 33/40 [02:55<00:32, 4.61s/it] 85%|████████▌ | 34/40 [02:59<00:26, 4.45s/it] 88%|████████▊ | 35/40 [03:03<00:22, 4.43s/it] 90%|█████████ | 36/40 [03:07<00:17, 4.27s/it] 92%|█████████▎| 37/40 [03:12<00:12, 4.30s/it] 95%|█████████▌| 38/40 [03:16<00:08, 4.46s/it] 98%|█████████▊| 39/40 [03:20<00:04, 4.20s/it] 100%|██████████| 40/40 [03:21<00:00, 3.35s/it] 100%|██████████| 40/40 [03:21<00:00, 5.05s/it] Decoding latents in cuda:0... done in 2.38s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 18.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:25, 1.42s/it] 11%|█ | 2/19 [00:03<00:26, 1.55s/it] 16%|█▌ | 3/19 [00:04<00:26, 1.63s/it] 21%|██ | 4/19 [00:06<00:23, 1.53s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.54s/it] 32%|███▏ | 6/19 [00:09<00:20, 1.57s/it] 37%|███▋ | 7/19 [00:10<00:18, 1.52s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.53s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.56s/it] 53%|█████▎ | 10/19 [00:15<00:13, 1.49s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.40s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.42s/it] 68%|██████▊ | 13/19 [00:19<00:08, 1.36s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.35s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.30s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.31s/it] 89%|████████▉ | 17/19 [00:24<00:02, 1.30s/it] 95%|█████████▍| 18/19 [00:25<00:01, 1.24s/it] 100%|██████████| 19/19 [00:25<00:00, 1.01it/s] 100%|██████████| 19/19 [00:25<00:00, 1.36s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.7ms Speed: 3.6ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:25, 1.39s/it] 11%|█ | 2/19 [00:03<00:26, 1.57s/it] 16%|█▌ | 3/19 [00:04<00:26, 1.65s/it] 21%|██ | 4/19 [00:06<00:23, 1.53s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.53s/it] 32%|███▏ | 6/19 [00:09<00:20, 1.58s/it] 37%|███▋ | 7/19 [00:10<00:18, 1.55s/it] 42%|████▏ | 8/19 [00:12<00:17, 1.56s/it] 47%|████▋ | 9/19 [00:14<00:15, 1.59s/it] 53%|█████▎ | 10/19 [00:15<00:13, 1.51s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.42s/it] 63%|██████▎ | 12/19 [00:18<00:09, 1.41s/it] 68%|██████▊ | 13/19 [00:19<00:08, 1.35s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.35s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.30s/it] 84%|████████▍ | 16/19 [00:23<00:03, 1.31s/it] 89%|████████▉ | 17/19 [00:24<00:02, 1.30s/it] 95%|█████████▍| 18/19 [00:25<00:01, 1.24s/it] 100%|██████████| 19/19 [00:25<00:00, 1.01it/s] 100%|██████████| 19/19 [00:25<00:00, 1.36s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 3.5ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:24, 1.35s/it] 11%|█ | 2/19 [00:02<00:25, 1.51s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.62s/it] 21%|██ | 4/19 [00:06<00:22, 1.51s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.52s/it] 32%|███▏ | 6/19 [00:09<00:20, 1.55s/it] 37%|███▋ | 7/19 [00:10<00:18, 1.51s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.52s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.55s/it] 53%|█████▎ | 10/19 [00:15<00:13, 1.47s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.38s/it] 68%|██████▊ | 13/19 [00:18<00:08, 1.34s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.29s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.30s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.29s/it] 95%|█████████▍| 18/19 [00:25<00:01, 1.23s/it] 100%|██████████| 19/19 [00:25<00:00, 1.02it/s] 100%|██████████| 19/19 [00:25<00:00, 1.34s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:24, 1.34s/it] 11%|█ | 2/19 [00:02<00:25, 1.49s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.59s/it] 21%|██ | 4/19 [00:05<00:22, 1.48s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.51s/it] 32%|███▏ | 6/19 [00:09<00:19, 1.53s/it] 37%|███▋ | 7/19 [00:10<00:17, 1.49s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.50s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.53s/it] 53%|█████▎ | 10/19 [00:14<00:13, 1.47s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.37s/it] 68%|██████▊ | 13/19 [00:18<00:07, 1.32s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.28s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.29s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.28s/it] 95%|█████████▍| 18/19 [00:24<00:01, 1.22s/it] 100%|██████████| 19/19 [00:25<00:00, 1.03it/s] 100%|██████████| 19/19 [00:25<00:00, 1.33s/it] 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 [00:01<00:24, 1.35s/it] 11%|█ | 2/19 [00:02<00:25, 1.50s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.60s/it] 21%|██ | 4/19 [00:06<00:22, 1.50s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.50s/it] 32%|███▏ | 6/19 [00:09<00:19, 1.53s/it] 37%|███▋ | 7/19 [00:10<00:17, 1.49s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.51s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.54s/it] 53%|█████▎ | 10/19 [00:14<00:13, 1.46s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.37s/it] 68%|██████▊ | 13/19 [00:18<00:07, 1.33s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.27s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.28s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.28s/it] 95%|█████████▍| 18/19 [00:24<00:01, 1.22s/it] 100%|██████████| 19/19 [00:25<00:00, 1.03it/s] 100%|██████████| 19/19 [00:25<00:00, 1.33s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:23, 1.33s/it] 11%|█ | 2/19 [00:02<00:25, 1.47s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.57s/it] 21%|██ | 4/19 [00:05<00:22, 1.48s/it] 26%|██▋ | 5/19 [00:07<00:20, 1.49s/it] 32%|███▏ | 6/19 [00:09<00:19, 1.52s/it] 37%|███▋ | 7/19 [00:10<00:17, 1.48s/it] 42%|████▏ | 8/19 [00:11<00:16, 1.50s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.52s/it] 53%|█████▎ | 10/19 [00:14<00:13, 1.45s/it] 58%|█████▊ | 11/19 [00:15<00:10, 1.36s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.36s/it] 68%|██████▊ | 13/19 [00:18<00:07, 1.31s/it] 74%|███████▎ | 14/19 [00:19<00:06, 1.31s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.26s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.27s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.27s/it] 95%|█████████▍| 18/19 [00:24<00:01, 1.20s/it] 100%|██████████| 19/19 [00:25<00:00, 1.04it/s] 100%|██████████| 19/19 [00:25<00:00, 1.32s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.4ms Speed: 3.0ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:24, 1.35s/it] 11%|█ | 2/19 [00:03<00:26, 1.55s/it] 16%|█▌ | 3/19 [00:04<00:25, 1.62s/it] 21%|██ | 4/19 [00:06<00:22, 1.51s/it] 26%|██▋ | 5/19 [00:07<00:21, 1.53s/it] 32%|███▏ | 6/19 [00:09<00:20, 1.54s/it] 37%|███▋ | 7/19 [00:10<00:18, 1.50s/it] 42%|████▏ | 8/19 [00:12<00:16, 1.52s/it] 47%|████▋ | 9/19 [00:13<00:15, 1.55s/it] 53%|█████▎ | 10/19 [00:15<00:13, 1.47s/it] 58%|█████▊ | 11/19 [00:16<00:11, 1.38s/it] 63%|██████▎ | 12/19 [00:17<00:09, 1.38s/it] 68%|██████▊ | 13/19 [00:18<00:07, 1.33s/it] 74%|███████▎ | 14/19 [00:20<00:06, 1.33s/it] 79%|███████▉ | 15/19 [00:21<00:05, 1.28s/it] 84%|████████▍ | 16/19 [00:22<00:03, 1.29s/it] 89%|████████▉ | 17/19 [00:23<00:02, 1.29s/it] 95%|█████████▍| 18/19 [00:25<00:01, 1.23s/it] 100%|██████████| 19/19 [00:25<00:00, 1.02it/s] 100%|██████████| 19/19 [00:25<00:00, 1.34s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.