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Cybergirls with Albedo Base XL
albedo-base-xl:v2.0
evevalentine2017
evevalentine2017
·
Jan 25
378
Input
prompt
Specify things to see in the output
(Photorealistic), wallpaper, 8k, 800 mm lens, cinematic, masterpiece, beautifully detailed, futuristic cyberpunk asian female, dynamic pose, Golden bionic bodypart, cyborg face, neon colors, glowing cyan hair, Sideswept Long hair, pink neon outfit, cyber punk, neon signs, neon futuristic city, realistic skin texture, skin pores, skin imperfections, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
(long neck), amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), ((bad-hands-5)), Blonde hair, large earrings, (supermodel body), Worst Quality, black and white image, Deformed Face, squint, Deformed Hands, Deformed Body, Deformed, Ugly, Mutations, Boring, Bad Anatomy, Bad Object Tracing, Ugly Toes, Low-Resolution, Boring Generation, repetitive, Two Right Feet, Two Left Feet, Two Right Hands, Two Left Hands, Low Image Quality, poorly filled image,
num_outputs
Number of output images
3
width
Output image width
1344
height
Output image height
1344
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.
1166083476
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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>
SDXL Detail.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/089d733f674c4c81bb40afa0b931c78f/00000-1166083476.webp
https://files.tungsten.run/uploads/23e61b14843646c2af0aff06072d2d91/00001-1166083477.webp
https://files.tungsten.run/uploads/7db0bd6d47a94fa3bb4d21e4ec141a7e/00002-1166083478.webp
Finished in 160.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (Photorealistic), wallpaper, 8k, 800 mm lens, cinematic, masterpiece, beautifully detailed, futuristic cyberpunk asian female, dynamic pose, Golden bionic bodypart, cyborg face, neon colors, glowing cyan hair, Sideswept Long hair, pink neon outfit, cyber punk, neon signs, neon futuristic city, realistic skin texture, skin pores, skin imperfections, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, <lora:SDXL Detail:1> Full negative prompt: (long neck), amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), ((bad-hands-5)), Blonde hair, large earrings, (supermodel body), Worst Quality, black and white image, Deformed Face, squint, Deformed Hands, Deformed Body, Deformed, Ugly, Mutations, Boring, Bad Anatomy, Bad Object Tracing, Ugly Toes, Low-Resolution, Boring Generation, repetitive, Two Right Feet, Two Left Feet, Two Right Hands, Two Left Hands, Low Image Quality, poorly filled image, 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:03<01:24, 3.52s/it] 8%|▊ | 2/25 [00:06<01:07, 2.95s/it] 12%|█▏ | 3/25 [00:08<01:01, 2.78s/it] 16%|█▌ | 4/25 [00:11<00:56, 2.70s/it] 20%|██ | 5/25 [00:13<00:53, 2.66s/it] 24%|██▍ | 6/25 [00:16<00:50, 2.64s/it] 28%|██▊ | 7/25 [00:19<00:47, 2.63s/it] 32%|███▏ | 8/25 [00:21<00:44, 2.63s/it] 36%|███▌ | 9/25 [00:24<00:42, 2.63s/it] 40%|████ | 10/25 [00:26<00:39, 2.63s/it] 44%|████▍ | 11/25 [00:29<00:36, 2.63s/it] 48%|████▊ | 12/25 [00:32<00:34, 2.63s/it] 52%|█████▏ | 13/25 [00:34<00:31, 2.64s/it] 56%|█████▌ | 14/25 [00:37<00:29, 2.64s/it] 60%|██████ | 15/25 [00:40<00:26, 2.64s/it] 64%|██████▍ | 16/25 [00:42<00:23, 2.64s/it] 68%|██████▊ | 17/25 [00:45<00:21, 2.64s/it] 72%|███████▏ | 18/25 [00:48<00:18, 2.64s/it] 76%|███████▌ | 19/25 [00:50<00:15, 2.64s/it] 80%|████████ | 20/25 [00:53<00:13, 2.63s/it] 84%|████████▍ | 21/25 [00:55<00:10, 2.63s/it] 88%|████████▊ | 22/25 [00:58<00:07, 2.63s/it] 92%|█████████▏| 23/25 [01:01<00:05, 2.62s/it] 96%|█████████▌| 24/25 [01:03<00:02, 2.62s/it] 100%|██████████| 25/25 [01:06<00:00, 2.61s/it] 100%|██████████| 25/25 [01:06<00:00, 2.65s/it] Decoding latents in cuda:0... done in 4.4s Move latents to cpu... done in 0.05s 0: 640x640 1 face, 7.9ms Speed: 3.9ms preprocess, 7.9ms inference, 29.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.29it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.28it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.28it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.29it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.29it/s] 50%|█████ | 6/12 [00:04<00:04, 1.29it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.28it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.28it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.28it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.28it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.28it/s] 100%|██████████| 12/12 [00:09<00:00, 1.28it/s] 100%|██████████| 12/12 [00:09<00:00, 1.28it/s] Decoding latents in cuda:0... done in 1.45s Move latents to cpu... done in 0.02s 0: 640x640 1 hand, 7.3ms Speed: 3.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.33it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.29it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.27it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.27it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.27it/s] 50%|█████ | 6/12 [00:04<00:04, 1.27it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.27it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.26it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.26it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.26it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.26it/s] 100%|██████████| 12/12 [00:09<00:00, 1.26it/s] 100%|██████████| 12/12 [00:09<00:00, 1.27it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.7ms Speed: 3.4ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.32it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.28it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.26it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.26it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.26it/s] 50%|█████ | 6/12 [00:04<00:04, 1.26it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.25it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.25it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.25it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.25it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0: 640x640 1 hand, 7.2ms Speed: 3.4ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.31it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.26it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.25it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.25it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.25it/s] 50%|█████ | 6/12 [00:04<00:04, 1.25it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.25it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.24it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.24it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.25it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.24it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.48s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.8ms Speed: 3.3ms preprocess, 9.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.31it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.26it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.25it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.24it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.25it/s] 50%|█████ | 6/12 [00:04<00:04, 1.25it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.25it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.25it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.25it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.25it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0: 640x640 1 hand, 7.3ms Speed: 3.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.31it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.27it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.26it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.26it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.26it/s] 50%|█████ | 6/12 [00:04<00:04, 1.26it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.26it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.26it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.25it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.26it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.26it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.46s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(Photorealistic), wallpaper, 8k, 800 mm lens, cinematic, masterpiece, beautifully detailed, futuristic cyberpunk asian female, dynamic pose, Golden bionic bodypart, cyborg face, neon colors, glowing cyan hair, Sideswept Long hair, pink neon outfit, cyber punk, neon signs, neon futuristic city, realistic skin texture, skin pores, skin imperfections, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
(long neck), amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), ((bad-hands-5)), Blonde hair, large earrings, (supermodel body), Worst Quality, black and white image, Deformed Face, squint, Deformed Hands, Deformed Body, Deformed, Ugly, Mutations, Boring, Bad Anatomy, Bad Object Tracing, Ugly Toes, Low-Resolution, Boring Generation, repetitive, Two Right Feet, Two Left Feet, Two Right Hands, Two Left Hands, Low Image Quality, poorly filled image,
num_outputs
Number of output images
3
width
Output image width
1344
height
Output image height
1344
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.
1166083476
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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>
SDXL Detail.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/089d733f674c4c81bb40afa0b931c78f/00000-1166083476.webp
https://files.tungsten.run/uploads/23e61b14843646c2af0aff06072d2d91/00001-1166083477.webp
https://files.tungsten.run/uploads/7db0bd6d47a94fa3bb4d21e4ec141a7e/00002-1166083478.webp
Finished in 160.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (Photorealistic), wallpaper, 8k, 800 mm lens, cinematic, masterpiece, beautifully detailed, futuristic cyberpunk asian female, dynamic pose, Golden bionic bodypart, cyborg face, neon colors, glowing cyan hair, Sideswept Long hair, pink neon outfit, cyber punk, neon signs, neon futuristic city, realistic skin texture, skin pores, skin imperfections, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, <lora:SDXL Detail:1> Full negative prompt: (long neck), amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), ((bad-hands-5)), Blonde hair, large earrings, (supermodel body), Worst Quality, black and white image, Deformed Face, squint, Deformed Hands, Deformed Body, Deformed, Ugly, Mutations, Boring, Bad Anatomy, Bad Object Tracing, Ugly Toes, Low-Resolution, Boring Generation, repetitive, Two Right Feet, Two Left Feet, Two Right Hands, Two Left Hands, Low Image Quality, poorly filled image, 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:03<01:24, 3.52s/it] 8%|▊ | 2/25 [00:06<01:07, 2.95s/it] 12%|█▏ | 3/25 [00:08<01:01, 2.78s/it] 16%|█▌ | 4/25 [00:11<00:56, 2.70s/it] 20%|██ | 5/25 [00:13<00:53, 2.66s/it] 24%|██▍ | 6/25 [00:16<00:50, 2.64s/it] 28%|██▊ | 7/25 [00:19<00:47, 2.63s/it] 32%|███▏ | 8/25 [00:21<00:44, 2.63s/it] 36%|███▌ | 9/25 [00:24<00:42, 2.63s/it] 40%|████ | 10/25 [00:26<00:39, 2.63s/it] 44%|████▍ | 11/25 [00:29<00:36, 2.63s/it] 48%|████▊ | 12/25 [00:32<00:34, 2.63s/it] 52%|█████▏ | 13/25 [00:34<00:31, 2.64s/it] 56%|█████▌ | 14/25 [00:37<00:29, 2.64s/it] 60%|██████ | 15/25 [00:40<00:26, 2.64s/it] 64%|██████▍ | 16/25 [00:42<00:23, 2.64s/it] 68%|██████▊ | 17/25 [00:45<00:21, 2.64s/it] 72%|███████▏ | 18/25 [00:48<00:18, 2.64s/it] 76%|███████▌ | 19/25 [00:50<00:15, 2.64s/it] 80%|████████ | 20/25 [00:53<00:13, 2.63s/it] 84%|████████▍ | 21/25 [00:55<00:10, 2.63s/it] 88%|████████▊ | 22/25 [00:58<00:07, 2.63s/it] 92%|█████████▏| 23/25 [01:01<00:05, 2.62s/it] 96%|█████████▌| 24/25 [01:03<00:02, 2.62s/it] 100%|██████████| 25/25 [01:06<00:00, 2.61s/it] 100%|██████████| 25/25 [01:06<00:00, 2.65s/it] Decoding latents in cuda:0... done in 4.4s Move latents to cpu... done in 0.05s 0: 640x640 1 face, 7.9ms Speed: 3.9ms preprocess, 7.9ms inference, 29.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.29it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.28it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.28it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.29it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.29it/s] 50%|█████ | 6/12 [00:04<00:04, 1.29it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.28it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.28it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.28it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.28it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.28it/s] 100%|██████████| 12/12 [00:09<00:00, 1.28it/s] 100%|██████████| 12/12 [00:09<00:00, 1.28it/s] Decoding latents in cuda:0... done in 1.45s Move latents to cpu... done in 0.02s 0: 640x640 1 hand, 7.3ms Speed: 3.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.33it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.29it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.27it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.27it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.27it/s] 50%|█████ | 6/12 [00:04<00:04, 1.27it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.27it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.26it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.26it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.26it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.26it/s] 100%|██████████| 12/12 [00:09<00:00, 1.26it/s] 100%|██████████| 12/12 [00:09<00:00, 1.27it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.7ms Speed: 3.4ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.32it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.28it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.26it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.26it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.26it/s] 50%|█████ | 6/12 [00:04<00:04, 1.26it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.25it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.25it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.25it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.25it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0: 640x640 1 hand, 7.2ms Speed: 3.4ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.31it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.26it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.25it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.25it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.25it/s] 50%|█████ | 6/12 [00:04<00:04, 1.25it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.25it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.24it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.24it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.25it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.24it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.48s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.8ms Speed: 3.3ms preprocess, 9.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.31it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.26it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.25it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.24it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.25it/s] 50%|█████ | 6/12 [00:04<00:04, 1.25it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.25it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.25it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.25it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.25it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0: 640x640 1 hand, 7.3ms Speed: 3.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.31it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.27it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.26it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.26it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.26it/s] 50%|█████ | 6/12 [00:04<00:04, 1.26it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.26it/s] 67%|██████▋ | 8/12 [00:06<00:03, 1.26it/s] 75%|███████▌ | 9/12 [00:07<00:02, 1.25it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.26it/s] 92%|█████████▏| 11/12 [00:08<00:00, 1.26it/s] 100%|██████████| 12/12 [00:09<00:00, 1.25it/s] 100%|██████████| 12/12 [00:09<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.46s Move latents to cpu... done in 0.0s Uploading outputs... Finished.