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Gossamer Robes with RealVision XL
realvision-xl:v3.0
evevalentine2017
evevalentine2017
·
Jan 23
362
Input
prompt
Specify things to see in the output
Bayonetta, a female wearing sheer translucent gossamer robe), Beautiful and elegant, nipples, The dark Hall, (photo_(medium):1.1), realistic, reality, Dim light, sfw,
negative_prompt
Specify things to not see in the output
nsfw, nipples, 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/b8e437349a2e47e8949504c9eb8ef5e7/00000-222064117.webp
https://files.tungsten.run/uploads/6a72202b91c14370bdc7139797730335/00001-222064118.webp
https://files.tungsten.run/uploads/bdf572d5a7f543c7bbfa479c0bf437ab/00002-222064119.webp
Finished in 328.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Bayonetta, a female wearing sheer translucent gossamer robe), Beautiful and elegant, nipples, The dark Hall, (photo_(medium):1.1), realistic, reality, Dim light, sfw, Full negative prompt: nsfw, nipples, 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<02:10, 4.21s/it] 6%|▋ | 2/32 [00:10<02:37, 5.24s/it] 9%|▉ | 3/32 [00:16<02:40, 5.53s/it] 12%|█▎ | 4/32 [00:21<02:36, 5.60s/it] 16%|█▌ | 5/32 [00:27<02:36, 5.78s/it] 19%|█▉ | 6/32 [00:33<02:29, 5.76s/it] 22%|██▏ | 7/32 [00:39<02:26, 5.86s/it] 25%|██▌ | 8/32 [00:45<02:18, 5.77s/it] 28%|██▊ | 9/32 [00:51<02:14, 5.84s/it] 31%|███▏ | 10/32 [00:56<02:08, 5.82s/it] 34%|███▍ | 11/32 [01:02<02:03, 5.87s/it] 38%|███▊ | 12/32 [01:08<01:56, 5.82s/it] 41%|████ | 13/32 [01:14<01:50, 5.80s/it] 44%|████▍ | 14/32 [01:19<01:40, 5.57s/it] 47%|████▋ | 15/32 [01:24<01:34, 5.55s/it] 50%|█████ | 16/32 [01:29<01:25, 5.35s/it] 53%|█████▎ | 17/32 [01:34<01:17, 5.18s/it] 56%|█████▋ | 18/32 [01:40<01:14, 5.32s/it] 59%|█████▉ | 19/32 [01:45<01:06, 5.15s/it] 62%|██████▎ | 20/32 [01:50<01:03, 5.27s/it] 66%|██████▌ | 21/32 [01:56<00:59, 5.37s/it] 69%|██████▉ | 22/32 [02:00<00:51, 5.12s/it] 72%|███████▏ | 23/32 [02:05<00:43, 4.87s/it] 75%|███████▌ | 24/32 [02:09<00:37, 4.72s/it] 78%|███████▊ | 25/32 [02:13<00:32, 4.68s/it] 81%|████████▏ | 26/32 [02:18<00:28, 4.68s/it] 84%|████████▍ | 27/32 [02:22<00:22, 4.56s/it] 88%|████████▊ | 28/32 [02:28<00:19, 4.82s/it] 91%|█████████ | 29/32 [02:32<00:14, 4.72s/it] 94%|█████████▍| 30/32 [02:36<00:08, 4.46s/it] 97%|█████████▋| 31/32 [02:40<00:04, 4.14s/it] 100%|██████████| 32/32 [02:41<00:00, 3.32s/it] 100%|██████████| 32/32 [02:41<00:00, 5.05s/it] Decoding latents in cuda:0... done in 2.43s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 23.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.77s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.58s/it] 20%|██ | 3/15 [00:04<00:19, 1.64s/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, 1.49s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.43s/it] 53%|█████▎ | 8/15 [00:12<00:10, 1.43s/it] 60%|██████ | 9/15 [00:13<00:08, 1.44s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.40s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.50s/it] 80%|████████ | 12/15 [00:17<00:04, 1.45s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.37s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.26s/it] 100%|██████████| 15/15 [00:20<00:00, 1.01s/it] 100%|██████████| 15/15 [00:20<00:00, 1.37s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.77s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.60s/it] 20%|██ | 3/15 [00:04<00:19, 1.67s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.70s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.59s/it] 40%|████ | 6/15 [00:09<00:13, 1.50s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.46s/it] 53%|█████▎ | 8/15 [00:12<00:10, 1.47s/it] 60%|██████ | 9/15 [00:13<00:08, 1.48s/it] 67%|██████▋ | 10/15 [00:15<00:07, 1.43s/it] 73%|███████▎ | 11/15 [00:16<00:06, 1.51s/it] 80%|████████ | 12/15 [00:18<00:04, 1.47s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.38s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.28s/it] 100%|██████████| 15/15 [00:20<00:00, 1.02s/it] 100%|██████████| 15/15 [00:20<00:00, 1.39s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 3.0ms 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<00:25, 1.79s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.59s/it] 20%|██ | 3/15 [00:04<00:19, 1.64s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.70s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.59s/it] 40%|████ | 6/15 [00:09<00:13, 1.49s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.44s/it] 53%|█████▎ | 8/15 [00:12<00:09, 1.43s/it] 60%|██████ | 9/15 [00:13<00:08, 1.44s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.40s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.49s/it] 80%|████████ | 12/15 [00:17<00:04, 1.45s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.36s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.26s/it] 100%|██████████| 15/15 [00:20<00:00, 1.01s/it] 100%|██████████| 15/15 [00:20<00:00, 1.37s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.1ms preprocess, 7.4ms 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, 1.74s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.59s/it] 20%|██ | 3/15 [00:04<00:19, 1.64s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.69s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.57s/it] 40%|████ | 6/15 [00:09<00:13, 1.48s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.42s/it] 53%|█████▎ | 8/15 [00:12<00:09, 1.42s/it] 60%|██████ | 9/15 [00:13<00:08, 1.42s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.38s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.48s/it] 80%|████████ | 12/15 [00:17<00:04, 1.45s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.36s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.25s/it] 100%|██████████| 15/15 [00:20<00:00, 1.00s/it] 100%|██████████| 15/15 [00:20<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 face, 8.1ms Speed: 3.0ms preprocess, 8.1ms inference, 1.6ms 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, 1.58s/it] 20%|██ | 3/15 [00:04<00:19, 1.64s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.68s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.57s/it] 40%|████ | 6/15 [00:09<00:13, 1.49s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.43s/it] 53%|█████▎ | 8/15 [00:12<00:09, 1.43s/it] 60%|██████ | 9/15 [00:13<00:08, 1.43s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.39s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.49s/it] 80%|████████ | 12/15 [00:17<00:04, 1.46s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.36s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.26s/it] 100%|██████████| 15/15 [00:20<00:00, 1.00s/it] 100%|██████████| 15/15 [00:20<00:00, 1.37s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.74s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.59s/it] 20%|██ | 3/15 [00:04<00:19, 1.63s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.67s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.55s/it] 40%|████ | 6/15 [00:09<00:13, 1.46s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.41s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.40s/it] 60%|██████ | 9/15 [00:13<00:08, 1.41s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.37s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.46s/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, 1.25s/it] 100%|██████████| 15/15 [00:20<00:00, 1.00it/s] 100%|██████████| 15/15 [00:20<00:00, 1.35s/it] Decoding latents in cuda:0... done in 0.82s 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, 1.57s/it] 20%|██ | 3/15 [00:04<00:19, 1.62s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.67s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.56s/it] 40%|████ | 6/15 [00:09<00:13, 1.47s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.42s/it] 53%|█████▎ | 8/15 [00:12<00:09, 1.42s/it] 60%|██████ | 9/15 [00:13<00:08, 1.42s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.38s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.47s/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, 1.26s/it] 100%|██████████| 15/15 [00:20<00:00, 1.00s/it] 100%|██████████| 15/15 [00:20<00:00, 1.36s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Bayonetta, a female wearing sheer translucent gossamer robe), Beautiful and elegant, nipples, The dark Hall, (photo_(medium):1.1), realistic, reality, Dim light, sfw,
negative_prompt
Specify things to not see in the output
nsfw, nipples, 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/b8e437349a2e47e8949504c9eb8ef5e7/00000-222064117.webp
https://files.tungsten.run/uploads/6a72202b91c14370bdc7139797730335/00001-222064118.webp
https://files.tungsten.run/uploads/bdf572d5a7f543c7bbfa479c0bf437ab/00002-222064119.webp
Finished in 328.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Bayonetta, a female wearing sheer translucent gossamer robe), Beautiful and elegant, nipples, The dark Hall, (photo_(medium):1.1), realistic, reality, Dim light, sfw, Full negative prompt: nsfw, nipples, 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<02:10, 4.21s/it] 6%|▋ | 2/32 [00:10<02:37, 5.24s/it] 9%|▉ | 3/32 [00:16<02:40, 5.53s/it] 12%|█▎ | 4/32 [00:21<02:36, 5.60s/it] 16%|█▌ | 5/32 [00:27<02:36, 5.78s/it] 19%|█▉ | 6/32 [00:33<02:29, 5.76s/it] 22%|██▏ | 7/32 [00:39<02:26, 5.86s/it] 25%|██▌ | 8/32 [00:45<02:18, 5.77s/it] 28%|██▊ | 9/32 [00:51<02:14, 5.84s/it] 31%|███▏ | 10/32 [00:56<02:08, 5.82s/it] 34%|███▍ | 11/32 [01:02<02:03, 5.87s/it] 38%|███▊ | 12/32 [01:08<01:56, 5.82s/it] 41%|████ | 13/32 [01:14<01:50, 5.80s/it] 44%|████▍ | 14/32 [01:19<01:40, 5.57s/it] 47%|████▋ | 15/32 [01:24<01:34, 5.55s/it] 50%|█████ | 16/32 [01:29<01:25, 5.35s/it] 53%|█████▎ | 17/32 [01:34<01:17, 5.18s/it] 56%|█████▋ | 18/32 [01:40<01:14, 5.32s/it] 59%|█████▉ | 19/32 [01:45<01:06, 5.15s/it] 62%|██████▎ | 20/32 [01:50<01:03, 5.27s/it] 66%|██████▌ | 21/32 [01:56<00:59, 5.37s/it] 69%|██████▉ | 22/32 [02:00<00:51, 5.12s/it] 72%|███████▏ | 23/32 [02:05<00:43, 4.87s/it] 75%|███████▌ | 24/32 [02:09<00:37, 4.72s/it] 78%|███████▊ | 25/32 [02:13<00:32, 4.68s/it] 81%|████████▏ | 26/32 [02:18<00:28, 4.68s/it] 84%|████████▍ | 27/32 [02:22<00:22, 4.56s/it] 88%|████████▊ | 28/32 [02:28<00:19, 4.82s/it] 91%|█████████ | 29/32 [02:32<00:14, 4.72s/it] 94%|█████████▍| 30/32 [02:36<00:08, 4.46s/it] 97%|█████████▋| 31/32 [02:40<00:04, 4.14s/it] 100%|██████████| 32/32 [02:41<00:00, 3.32s/it] 100%|██████████| 32/32 [02:41<00:00, 5.05s/it] Decoding latents in cuda:0... done in 2.43s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 23.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.77s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.58s/it] 20%|██ | 3/15 [00:04<00:19, 1.64s/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, 1.49s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.43s/it] 53%|█████▎ | 8/15 [00:12<00:10, 1.43s/it] 60%|██████ | 9/15 [00:13<00:08, 1.44s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.40s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.50s/it] 80%|████████ | 12/15 [00:17<00:04, 1.45s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.37s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.26s/it] 100%|██████████| 15/15 [00:20<00:00, 1.01s/it] 100%|██████████| 15/15 [00:20<00:00, 1.37s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.77s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.60s/it] 20%|██ | 3/15 [00:04<00:19, 1.67s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.70s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.59s/it] 40%|████ | 6/15 [00:09<00:13, 1.50s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.46s/it] 53%|█████▎ | 8/15 [00:12<00:10, 1.47s/it] 60%|██████ | 9/15 [00:13<00:08, 1.48s/it] 67%|██████▋ | 10/15 [00:15<00:07, 1.43s/it] 73%|███████▎ | 11/15 [00:16<00:06, 1.51s/it] 80%|████████ | 12/15 [00:18<00:04, 1.47s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.38s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.28s/it] 100%|██████████| 15/15 [00:20<00:00, 1.02s/it] 100%|██████████| 15/15 [00:20<00:00, 1.39s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 3.0ms 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<00:25, 1.79s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.59s/it] 20%|██ | 3/15 [00:04<00:19, 1.64s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.70s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.59s/it] 40%|████ | 6/15 [00:09<00:13, 1.49s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.44s/it] 53%|█████▎ | 8/15 [00:12<00:09, 1.43s/it] 60%|██████ | 9/15 [00:13<00:08, 1.44s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.40s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.49s/it] 80%|████████ | 12/15 [00:17<00:04, 1.45s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.36s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.26s/it] 100%|██████████| 15/15 [00:20<00:00, 1.01s/it] 100%|██████████| 15/15 [00:20<00:00, 1.37s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.1ms preprocess, 7.4ms 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, 1.74s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.59s/it] 20%|██ | 3/15 [00:04<00:19, 1.64s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.69s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.57s/it] 40%|████ | 6/15 [00:09<00:13, 1.48s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.42s/it] 53%|█████▎ | 8/15 [00:12<00:09, 1.42s/it] 60%|██████ | 9/15 [00:13<00:08, 1.42s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.38s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.48s/it] 80%|████████ | 12/15 [00:17<00:04, 1.45s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.36s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.25s/it] 100%|██████████| 15/15 [00:20<00:00, 1.00s/it] 100%|██████████| 15/15 [00:20<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 face, 8.1ms Speed: 3.0ms preprocess, 8.1ms inference, 1.6ms 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, 1.58s/it] 20%|██ | 3/15 [00:04<00:19, 1.64s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.68s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.57s/it] 40%|████ | 6/15 [00:09<00:13, 1.49s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.43s/it] 53%|█████▎ | 8/15 [00:12<00:09, 1.43s/it] 60%|██████ | 9/15 [00:13<00:08, 1.43s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.39s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.49s/it] 80%|████████ | 12/15 [00:17<00:04, 1.46s/it] 87%|████████▋ | 13/15 [00:19<00:02, 1.36s/it] 93%|█████████▎| 14/15 [00:20<00:01, 1.26s/it] 100%|██████████| 15/15 [00:20<00:00, 1.00s/it] 100%|██████████| 15/15 [00:20<00:00, 1.37s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:24, 1.74s/it] 13%|█▎ | 2/15 [00:03<00:20, 1.59s/it] 20%|██ | 3/15 [00:04<00:19, 1.63s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.67s/it] 33%|███▎ | 5/15 [00:07<00:15, 1.55s/it] 40%|████ | 6/15 [00:09<00:13, 1.46s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.41s/it] 53%|█████▎ | 8/15 [00:11<00:09, 1.40s/it] 60%|██████ | 9/15 [00:13<00:08, 1.41s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.37s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.46s/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, 1.25s/it] 100%|██████████| 15/15 [00:20<00:00, 1.00it/s] 100%|██████████| 15/15 [00:20<00:00, 1.35s/it] Decoding latents in cuda:0... done in 0.82s 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, 1.57s/it] 20%|██ | 3/15 [00:04<00:19, 1.62s/it] 27%|██▋ | 4/15 [00:06<00:18, 1.67s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.56s/it] 40%|████ | 6/15 [00:09<00:13, 1.47s/it] 47%|████▋ | 7/15 [00:10<00:11, 1.42s/it] 53%|█████▎ | 8/15 [00:12<00:09, 1.42s/it] 60%|██████ | 9/15 [00:13<00:08, 1.42s/it] 67%|██████▋ | 10/15 [00:14<00:06, 1.38s/it] 73%|███████▎ | 11/15 [00:16<00:05, 1.47s/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, 1.26s/it] 100%|██████████| 15/15 [00:20<00:00, 1.00s/it] 100%|██████████| 15/15 [00:20<00:00, 1.36s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s Uploading outputs... Finished.