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Hong Kong Woman with SocaBabes XL
socababes-xl:v1.0
sparks
sparks
·
Feb 19
368
Input
prompt
Specify things to see in the output
(close shot, zoomed in upper body portrait:1.3) photo of a pondering, (closed mouth:1.5) horny muscular young 23 year old Hong Kong (emo:1.3) woman with long purple hair, amber eyes, (medium breasts:1.3), toned ass, makeup, lipstick, eyeshadow, eyeliner, (manicured nails:1.3), She is wearing a geometric print silk dress with corset waist, high heel boots, (small purse:1.1), small earrings, necklace, bracelets, She is sexy bending facing down, in a city park, morning, cloudy, detailed skin texture, detailed cloth texture, detailed face, (intricate sharp details:1.5), ultra high res, <lora:EnvyBetterHiresFixXL01:1>
negative_prompt
Specify things to not see in the output
extra hands, floating hands, (Nude naked NSFW nipples:1.5), (watermark:1.5), (long torso:1.3), (tall torso:1.3), (cleft chin:1.1), (nasolabial crease:1.1), facial asymmetry, eye bags, dark circles under eyes, deviantart, ugly, tiling, glossy, shiny, blurry, blurred, grainy, signature, draft, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
4152439579
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
EnvyBetterHiresFixXL01.safetensors
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/539369b4126543c292534d265f8228d0/00000-4152439579.webp
https://files.tungsten.run/uploads/3561df8cea22447fa842b3fa6eda84a1/00001-4152439580.webp
https://files.tungsten.run/uploads/64e2620929ae4623bb02306560c04102/00002-4152439581.webp
Finished in 236.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (close shot, zoomed in upper body portrait:1.3) photo of a pondering, (closed mouth:1.5) horny muscular young 23 year old Hong Kong (emo:1.3) woman with long purple hair, amber eyes, (medium breasts:1.3), toned ass, makeup, lipstick, eyeshadow, eyeliner, (manicured nails:1.3), She is wearing a geometric print silk dress with corset waist, high heel boots, (small purse:1.1), small earrings, necklace, bracelets, She is sexy bending facing down, in a city park, morning, cloudy, detailed skin texture, detailed cloth texture, detailed face, (intricate sharp details:1.5), ultra high res, <lora:EnvyBetterHiresFixXL01:1>, <lora:add-detail-xl:1.0> Full negative prompt: extra hands, floating hands, (Nude naked NSFW nipples:1.5), (watermark:1.5), (long torso:1.3), (tall torso:1.3), (cleft chin:1.1), (nasolabial crease:1.1), facial asymmetry, eye bags, dark circles under eyes, deviantart, ugly, tiling, glossy, shiny, blurry, blurred, grainy, signature, draft, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:04<03:28, 4.25s/it] 4%|▍ | 2/50 [00:07<02:59, 3.75s/it] 6%|▌ | 3/50 [00:12<03:22, 4.30s/it] 8%|▊ | 4/50 [00:16<03:08, 4.09s/it] 10%|█ | 5/50 [00:19<02:53, 3.86s/it] 12%|█▏ | 6/50 [00:23<02:48, 3.82s/it] 14%|█▍ | 7/50 [00:27<02:42, 3.79s/it] 16%|█▌ | 8/50 [00:31<02:39, 3.80s/it] 18%|█▊ | 9/50 [00:34<02:32, 3.72s/it] 20%|██ | 10/50 [00:38<02:25, 3.65s/it] 22%|██▏ | 11/50 [00:41<02:19, 3.59s/it] 24%|██▍ | 12/50 [00:45<02:20, 3.70s/it] 26%|██▌ | 13/50 [00:48<02:13, 3.61s/it] 28%|██▊ | 14/50 [00:52<02:10, 3.63s/it] 30%|███ | 15/50 [00:56<02:07, 3.63s/it] 32%|███▏ | 16/50 [00:59<02:01, 3.59s/it] 34%|███▍ | 17/50 [01:03<01:57, 3.56s/it] 36%|███▌ | 18/50 [01:06<01:53, 3.55s/it] 38%|███▊ | 19/50 [01:10<01:49, 3.54s/it] 40%|████ | 20/50 [01:13<01:46, 3.54s/it] 42%|████▏ | 21/50 [01:17<01:43, 3.57s/it] 44%|████▍ | 22/50 [01:20<01:38, 3.53s/it] 46%|████▌ | 23/50 [01:24<01:35, 3.54s/it] 48%|████▊ | 24/50 [01:27<01:31, 3.52s/it] 50%|█████ | 25/50 [01:31<01:28, 3.55s/it] 52%|█████▏ | 26/50 [01:35<01:24, 3.53s/it] 54%|█████▍ | 27/50 [01:38<01:18, 3.43s/it] 56%|█████▌ | 28/50 [01:41<01:16, 3.49s/it] 58%|█████▊ | 29/50 [01:45<01:12, 3.47s/it] 60%|██████ | 30/50 [01:48<01:08, 3.45s/it] 62%|██████▏ | 31/50 [01:51<01:04, 3.38s/it] 64%|██████▍ | 32/50 [01:55<00:59, 3.32s/it] 66%|██████▌ | 33/50 [01:58<00:58, 3.43s/it] 68%|██████▊ | 34/50 [02:01<00:53, 3.36s/it] 70%|███████ | 35/50 [02:05<00:50, 3.34s/it] 72%|███████▏ | 36/50 [02:08<00:45, 3.25s/it] 74%|███████▍ | 37/50 [02:11<00:42, 3.28s/it] 76%|███████▌ | 38/50 [02:14<00:38, 3.22s/it] 78%|███████▊ | 39/50 [02:17<00:34, 3.17s/it] 80%|████████ | 40/50 [02:20<00:30, 3.05s/it] 82%|████████▏ | 41/50 [02:23<00:27, 3.03s/it] 84%|████████▍ | 42/50 [02:26<00:23, 3.00s/it] 86%|████████▌ | 43/50 [02:29<00:21, 3.10s/it] 88%|████████▊ | 44/50 [02:32<00:18, 3.05s/it] 90%|█████████ | 45/50 [02:35<00:15, 3.08s/it] 92%|█████████▏| 46/50 [02:38<00:12, 3.06s/it] 94%|█████████▍| 47/50 [02:42<00:09, 3.11s/it] 96%|█████████▌| 48/50 [02:44<00:05, 2.98s/it] 98%|█████████▊| 49/50 [02:46<00:02, 2.67s/it] 100%|██████████| 50/50 [02:48<00:00, 2.40s/it] 100%|██████████| 50/50 [02:48<00:00, 3.37s/it] Decoding latents in cuda:0... done in 3.17s Move latents to cpu... done in 0.04s 0: 640x512 1 face, 172.8ms Speed: 2.7ms preprocess, 172.8ms inference, 15.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:16, 1.11s/it] 12%|█▎ | 2/16 [00:02<00:14, 1.00s/it] 19%|█▉ | 3/16 [00:03<00:13, 1.02s/it] 25%|██▌ | 4/16 [00:04<00:12, 1.00s/it] 31%|███▏ | 5/16 [00:04<00:10, 1.03it/s] 38%|███▊ | 6/16 [00:05<00:09, 1.08it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.09it/s] 50%|█████ | 8/16 [00:07<00:07, 1.10it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.06it/s] 62%|██████▎ | 10/16 [00:09<00:05, 1.09it/s] 69%|██████▉ | 11/16 [00:10<00:04, 1.09it/s] 75%|███████▌ | 12/16 [00:11<00:03, 1.09it/s] 81%|████████▏ | 13/16 [00:12<00:02, 1.07it/s] 88%|████████▊ | 14/16 [00:13<00:01, 1.12it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.26it/s] 100%|██████████| 16/16 [00:14<00:00, 1.42it/s] 100%|██████████| 16/16 [00:14<00:00, 1.13it/s] Decoding latents in cuda:0... done in 1.04s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:15, 1.05s/it] 12%|█▎ | 2/16 [00:01<00:13, 1.04it/s] 19%|█▉ | 3/16 [00:02<00:12, 1.02it/s] 25%|██▌ | 4/16 [00:03<00:11, 1.04it/s] 31%|███▏ | 5/16 [00:04<00:10, 1.06it/s] 38%|███▊ | 6/16 [00:05<00:09, 1.11it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.12it/s] 50%|█████ | 8/16 [00:07<00:07, 1.13it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.09it/s] 62%|██████▎ | 10/16 [00:09<00:05, 1.11it/s] 69%|██████▉ | 11/16 [00:10<00:04, 1.10it/s] 75%|███████▌ | 12/16 [00:11<00:03, 1.10it/s] 81%|████████▏ | 13/16 [00:12<00:02, 1.08it/s] 88%|████████▊ | 14/16 [00:12<00:01, 1.13it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.27it/s] 100%|██████████| 16/16 [00:13<00:00, 1.42it/s] 100%|██████████| 16/16 [00:13<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.04s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.4ms Speed: 2.2ms preprocess, 8.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:15, 1.06s/it] 12%|█▎ | 2/16 [00:01<00:13, 1.03it/s] 19%|█▉ | 3/16 [00:02<00:12, 1.02it/s] 25%|██▌ | 4/16 [00:03<00:11, 1.03it/s] 31%|███▏ | 5/16 [00:04<00:10, 1.04it/s] 38%|███▊ | 6/16 [00:05<00:09, 1.09it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.10it/s] 50%|█████ | 8/16 [00:07<00:07, 1.10it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.06it/s] 62%|██████▎ | 10/16 [00:09<00:05, 1.09it/s] 69%|██████▉ | 11/16 [00:10<00:04, 1.08it/s] 75%|███████▌ | 12/16 [00:11<00:03, 1.07it/s] 81%|████████▏ | 13/16 [00:12<00:02, 1.06it/s] 88%|████████▊ | 14/16 [00:13<00:01, 1.12it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.25it/s] 100%|██████████| 16/16 [00:14<00:00, 1.41it/s] 100%|██████████| 16/16 [00:14<00:00, 1.14it/s] Decoding latents in cuda:0... done in 1.05s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(close shot, zoomed in upper body portrait:1.3) photo of a pondering, (closed mouth:1.5) horny muscular young 23 year old Hong Kong (emo:1.3) woman with long purple hair, amber eyes, (medium breasts:1.3), toned ass, makeup, lipstick, eyeshadow, eyeliner, (manicured nails:1.3), She is wearing a geometric print silk dress with corset waist, high heel boots, (small purse:1.1), small earrings, necklace, bracelets, She is sexy bending facing down, in a city park, morning, cloudy, detailed skin texture, detailed cloth texture, detailed face, (intricate sharp details:1.5), ultra high res, <lora:EnvyBetterHiresFixXL01:1>
negative_prompt
Specify things to not see in the output
extra hands, floating hands, (Nude naked NSFW nipples:1.5), (watermark:1.5), (long torso:1.3), (tall torso:1.3), (cleft chin:1.1), (nasolabial crease:1.1), facial asymmetry, eye bags, dark circles under eyes, deviantart, ugly, tiling, glossy, shiny, blurry, blurred, grainy, signature, draft, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
4152439579
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
EnvyBetterHiresFixXL01.safetensors
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/539369b4126543c292534d265f8228d0/00000-4152439579.webp
https://files.tungsten.run/uploads/3561df8cea22447fa842b3fa6eda84a1/00001-4152439580.webp
https://files.tungsten.run/uploads/64e2620929ae4623bb02306560c04102/00002-4152439581.webp
Finished in 236.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (close shot, zoomed in upper body portrait:1.3) photo of a pondering, (closed mouth:1.5) horny muscular young 23 year old Hong Kong (emo:1.3) woman with long purple hair, amber eyes, (medium breasts:1.3), toned ass, makeup, lipstick, eyeshadow, eyeliner, (manicured nails:1.3), She is wearing a geometric print silk dress with corset waist, high heel boots, (small purse:1.1), small earrings, necklace, bracelets, She is sexy bending facing down, in a city park, morning, cloudy, detailed skin texture, detailed cloth texture, detailed face, (intricate sharp details:1.5), ultra high res, <lora:EnvyBetterHiresFixXL01:1>, <lora:add-detail-xl:1.0> Full negative prompt: extra hands, floating hands, (Nude naked NSFW nipples:1.5), (watermark:1.5), (long torso:1.3), (tall torso:1.3), (cleft chin:1.1), (nasolabial crease:1.1), facial asymmetry, eye bags, dark circles under eyes, deviantart, ugly, tiling, glossy, shiny, blurry, blurred, grainy, signature, draft, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:04<03:28, 4.25s/it] 4%|▍ | 2/50 [00:07<02:59, 3.75s/it] 6%|▌ | 3/50 [00:12<03:22, 4.30s/it] 8%|▊ | 4/50 [00:16<03:08, 4.09s/it] 10%|█ | 5/50 [00:19<02:53, 3.86s/it] 12%|█▏ | 6/50 [00:23<02:48, 3.82s/it] 14%|█▍ | 7/50 [00:27<02:42, 3.79s/it] 16%|█▌ | 8/50 [00:31<02:39, 3.80s/it] 18%|█▊ | 9/50 [00:34<02:32, 3.72s/it] 20%|██ | 10/50 [00:38<02:25, 3.65s/it] 22%|██▏ | 11/50 [00:41<02:19, 3.59s/it] 24%|██▍ | 12/50 [00:45<02:20, 3.70s/it] 26%|██▌ | 13/50 [00:48<02:13, 3.61s/it] 28%|██▊ | 14/50 [00:52<02:10, 3.63s/it] 30%|███ | 15/50 [00:56<02:07, 3.63s/it] 32%|███▏ | 16/50 [00:59<02:01, 3.59s/it] 34%|███▍ | 17/50 [01:03<01:57, 3.56s/it] 36%|███▌ | 18/50 [01:06<01:53, 3.55s/it] 38%|███▊ | 19/50 [01:10<01:49, 3.54s/it] 40%|████ | 20/50 [01:13<01:46, 3.54s/it] 42%|████▏ | 21/50 [01:17<01:43, 3.57s/it] 44%|████▍ | 22/50 [01:20<01:38, 3.53s/it] 46%|████▌ | 23/50 [01:24<01:35, 3.54s/it] 48%|████▊ | 24/50 [01:27<01:31, 3.52s/it] 50%|█████ | 25/50 [01:31<01:28, 3.55s/it] 52%|█████▏ | 26/50 [01:35<01:24, 3.53s/it] 54%|█████▍ | 27/50 [01:38<01:18, 3.43s/it] 56%|█████▌ | 28/50 [01:41<01:16, 3.49s/it] 58%|█████▊ | 29/50 [01:45<01:12, 3.47s/it] 60%|██████ | 30/50 [01:48<01:08, 3.45s/it] 62%|██████▏ | 31/50 [01:51<01:04, 3.38s/it] 64%|██████▍ | 32/50 [01:55<00:59, 3.32s/it] 66%|██████▌ | 33/50 [01:58<00:58, 3.43s/it] 68%|██████▊ | 34/50 [02:01<00:53, 3.36s/it] 70%|███████ | 35/50 [02:05<00:50, 3.34s/it] 72%|███████▏ | 36/50 [02:08<00:45, 3.25s/it] 74%|███████▍ | 37/50 [02:11<00:42, 3.28s/it] 76%|███████▌ | 38/50 [02:14<00:38, 3.22s/it] 78%|███████▊ | 39/50 [02:17<00:34, 3.17s/it] 80%|████████ | 40/50 [02:20<00:30, 3.05s/it] 82%|████████▏ | 41/50 [02:23<00:27, 3.03s/it] 84%|████████▍ | 42/50 [02:26<00:23, 3.00s/it] 86%|████████▌ | 43/50 [02:29<00:21, 3.10s/it] 88%|████████▊ | 44/50 [02:32<00:18, 3.05s/it] 90%|█████████ | 45/50 [02:35<00:15, 3.08s/it] 92%|█████████▏| 46/50 [02:38<00:12, 3.06s/it] 94%|█████████▍| 47/50 [02:42<00:09, 3.11s/it] 96%|█████████▌| 48/50 [02:44<00:05, 2.98s/it] 98%|█████████▊| 49/50 [02:46<00:02, 2.67s/it] 100%|██████████| 50/50 [02:48<00:00, 2.40s/it] 100%|██████████| 50/50 [02:48<00:00, 3.37s/it] Decoding latents in cuda:0... done in 3.17s Move latents to cpu... done in 0.04s 0: 640x512 1 face, 172.8ms Speed: 2.7ms preprocess, 172.8ms inference, 15.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:16, 1.11s/it] 12%|█▎ | 2/16 [00:02<00:14, 1.00s/it] 19%|█▉ | 3/16 [00:03<00:13, 1.02s/it] 25%|██▌ | 4/16 [00:04<00:12, 1.00s/it] 31%|███▏ | 5/16 [00:04<00:10, 1.03it/s] 38%|███▊ | 6/16 [00:05<00:09, 1.08it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.09it/s] 50%|█████ | 8/16 [00:07<00:07, 1.10it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.06it/s] 62%|██████▎ | 10/16 [00:09<00:05, 1.09it/s] 69%|██████▉ | 11/16 [00:10<00:04, 1.09it/s] 75%|███████▌ | 12/16 [00:11<00:03, 1.09it/s] 81%|████████▏ | 13/16 [00:12<00:02, 1.07it/s] 88%|████████▊ | 14/16 [00:13<00:01, 1.12it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.26it/s] 100%|██████████| 16/16 [00:14<00:00, 1.42it/s] 100%|██████████| 16/16 [00:14<00:00, 1.13it/s] Decoding latents in cuda:0... done in 1.04s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:15, 1.05s/it] 12%|█▎ | 2/16 [00:01<00:13, 1.04it/s] 19%|█▉ | 3/16 [00:02<00:12, 1.02it/s] 25%|██▌ | 4/16 [00:03<00:11, 1.04it/s] 31%|███▏ | 5/16 [00:04<00:10, 1.06it/s] 38%|███▊ | 6/16 [00:05<00:09, 1.11it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.12it/s] 50%|█████ | 8/16 [00:07<00:07, 1.13it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.09it/s] 62%|██████▎ | 10/16 [00:09<00:05, 1.11it/s] 69%|██████▉ | 11/16 [00:10<00:04, 1.10it/s] 75%|███████▌ | 12/16 [00:11<00:03, 1.10it/s] 81%|████████▏ | 13/16 [00:12<00:02, 1.08it/s] 88%|████████▊ | 14/16 [00:12<00:01, 1.13it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.27it/s] 100%|██████████| 16/16 [00:13<00:00, 1.42it/s] 100%|██████████| 16/16 [00:13<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.04s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.4ms Speed: 2.2ms preprocess, 8.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:15, 1.06s/it] 12%|█▎ | 2/16 [00:01<00:13, 1.03it/s] 19%|█▉ | 3/16 [00:02<00:12, 1.02it/s] 25%|██▌ | 4/16 [00:03<00:11, 1.03it/s] 31%|███▏ | 5/16 [00:04<00:10, 1.04it/s] 38%|███▊ | 6/16 [00:05<00:09, 1.09it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.10it/s] 50%|█████ | 8/16 [00:07<00:07, 1.10it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.06it/s] 62%|██████▎ | 10/16 [00:09<00:05, 1.09it/s] 69%|██████▉ | 11/16 [00:10<00:04, 1.08it/s] 75%|███████▌ | 12/16 [00:11<00:03, 1.07it/s] 81%|████████▏ | 13/16 [00:12<00:02, 1.06it/s] 88%|████████▊ | 14/16 [00:13<00:01, 1.12it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.25it/s] 100%|██████████| 16/16 [00:14<00:00, 1.41it/s] 100%|██████████| 16/16 [00:14<00:00, 1.14it/s] Decoding latents in cuda:0... done in 1.05s Move latents to cpu... done in 0.0s Uploading outputs... Finished.