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Cute Ginger Girls with Mf Mix
mf-mix:v1.0
evevalentine2017
evevalentine2017
·
Jan 6
351
Input
prompt
Specify things to see in the output
1girl, cute, :q, Socks, pink eyes, orange hair, beehive hairdo, big breasts, sfw, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
nsfw, ((nipples)), ((spread legs)), easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2758018262
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
Euler a
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
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/b9f79bcf204f4214b8543a56a5a575b5/00000-2758018262.webp
https://files.tungsten.run/uploads/6be5797f1d1f4df5a99a9996d65292a7/00001-2758018263.webp
https://files.tungsten.run/uploads/7bfc065b28bf4d2593e207cd1dc08c14/00002-2758018264.webp
https://files.tungsten.run/uploads/f02c88458e7b4a198f0d6cdf8f2350e9/00003-2758018265.webp
Finished in 45.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 1girl, cute, :q, Socks, pink eyes, orange hair, beehive hairdo, big breasts, sfw Full negative prompt: nsfw, ((nipples)), ((spread legs)), easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:15, 1.52it/s] 8%|▊ | 2/25 [00:01<00:15, 1.51it/s] 12%|█▏ | 3/25 [00:01<00:14, 1.52it/s] 16%|█▌ | 4/25 [00:02<00:13, 1.52it/s] 20%|██ | 5/25 [00:03<00:13, 1.52it/s] 24%|██▍ | 6/25 [00:03<00:12, 1.52it/s] 28%|██▊ | 7/25 [00:04<00:11, 1.51it/s] 32%|███▏ | 8/25 [00:05<00:11, 1.51it/s] 36%|███▌ | 9/25 [00:05<00:10, 1.51it/s] 40%|████ | 10/25 [00:06<00:09, 1.51it/s] 44%|████▍ | 11/25 [00:07<00:09, 1.51it/s] 48%|████▊ | 12/25 [00:07<00:08, 1.51it/s] 52%|█████▏ | 13/25 [00:08<00:07, 1.51it/s] 56%|█████▌ | 14/25 [00:09<00:07, 1.51it/s] 60%|██████ | 15/25 [00:09<00:06, 1.51it/s] 64%|██████▍ | 16/25 [00:10<00:05, 1.51it/s] 68%|██████▊ | 17/25 [00:11<00:05, 1.51it/s] 72%|███████▏ | 18/25 [00:11<00:04, 1.51it/s] 76%|███████▌ | 19/25 [00:12<00:03, 1.51it/s] 80%|████████ | 20/25 [00:13<00:03, 1.51it/s] 84%|████████▍ | 21/25 [00:13<00:02, 1.51it/s] 88%|████████▊ | 22/25 [00:14<00:01, 1.51it/s] 92%|█████████▏| 23/25 [00:15<00:01, 1.51it/s] 96%|█████████▌| 24/25 [00:15<00:00, 1.51it/s] 100%|██████████| 25/25 [00:16<00:00, 1.52it/s] 100%|██████████| 25/25 [00:16<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 3.0ms preprocess, 8.0ms inference, 32.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.43it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.76it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.39it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.75it/s] 42%|████▏ | 5/12 [00:00<00:01, 5.98it/s] 50%|█████ | 6/12 [00:01<00:00, 6.08it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.12it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.22it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.28it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.30it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.34it/s] 100%|██████████| 12/12 [00:02<00:00, 6.41it/s] 100%|██████████| 12/12 [00:02<00:00, 5.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.68it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.52it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.46it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.46it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.43it/s] 50%|█████ | 6/12 [00:00<00:00, 6.36it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.34it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.33it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.35it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.38it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.38it/s] 100%|██████████| 12/12 [00:01<00:00, 6.45it/s] 100%|██████████| 12/12 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.70it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.54it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.48it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.45it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.42it/s] 50%|█████ | 6/12 [00:00<00:00, 6.34it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.33it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.33it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.34it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.34it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.37it/s] 100%|██████████| 12/12 [00:01<00:00, 6.41it/s] 100%|██████████| 12/12 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.61it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.51it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.45it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.41it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.40it/s] 50%|█████ | 6/12 [00:00<00:00, 6.32it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.29it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.32it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.34it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.35it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.35it/s] 100%|██████████| 12/12 [00:01<00:00, 6.40it/s] 100%|██████████| 12/12 [00:01<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.63it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.48it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.44it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.43it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.41it/s] 50%|█████ | 6/12 [00:00<00:00, 6.35it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.34it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.33it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.33it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.34it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.35it/s] 100%|██████████| 12/12 [00:01<00:00, 6.41it/s] 100%|██████████| 12/12 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.55it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.49it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.43it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.40it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.32it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.31it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.33it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.34it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.35it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.36it/s] 100%|██████████| 12/12 [00:01<00:00, 6.39it/s] 100%|██████████| 12/12 [00:01<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.62it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.46it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.41it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.40it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.31it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.27it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.29it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.32it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.35it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.35it/s] 100%|██████████| 12/12 [00:01<00:00, 6.39it/s] 100%|██████████| 12/12 [00:01<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
1girl, cute, :q, Socks, pink eyes, orange hair, beehive hairdo, big breasts, sfw, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
nsfw, ((nipples)), ((spread legs)), easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2758018262
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
Euler a
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
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/b9f79bcf204f4214b8543a56a5a575b5/00000-2758018262.webp
https://files.tungsten.run/uploads/6be5797f1d1f4df5a99a9996d65292a7/00001-2758018263.webp
https://files.tungsten.run/uploads/7bfc065b28bf4d2593e207cd1dc08c14/00002-2758018264.webp
https://files.tungsten.run/uploads/f02c88458e7b4a198f0d6cdf8f2350e9/00003-2758018265.webp
Finished in 45.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 1girl, cute, :q, Socks, pink eyes, orange hair, beehive hairdo, big breasts, sfw Full negative prompt: nsfw, ((nipples)), ((spread legs)), easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:15, 1.52it/s] 8%|▊ | 2/25 [00:01<00:15, 1.51it/s] 12%|█▏ | 3/25 [00:01<00:14, 1.52it/s] 16%|█▌ | 4/25 [00:02<00:13, 1.52it/s] 20%|██ | 5/25 [00:03<00:13, 1.52it/s] 24%|██▍ | 6/25 [00:03<00:12, 1.52it/s] 28%|██▊ | 7/25 [00:04<00:11, 1.51it/s] 32%|███▏ | 8/25 [00:05<00:11, 1.51it/s] 36%|███▌ | 9/25 [00:05<00:10, 1.51it/s] 40%|████ | 10/25 [00:06<00:09, 1.51it/s] 44%|████▍ | 11/25 [00:07<00:09, 1.51it/s] 48%|████▊ | 12/25 [00:07<00:08, 1.51it/s] 52%|█████▏ | 13/25 [00:08<00:07, 1.51it/s] 56%|█████▌ | 14/25 [00:09<00:07, 1.51it/s] 60%|██████ | 15/25 [00:09<00:06, 1.51it/s] 64%|██████▍ | 16/25 [00:10<00:05, 1.51it/s] 68%|██████▊ | 17/25 [00:11<00:05, 1.51it/s] 72%|███████▏ | 18/25 [00:11<00:04, 1.51it/s] 76%|███████▌ | 19/25 [00:12<00:03, 1.51it/s] 80%|████████ | 20/25 [00:13<00:03, 1.51it/s] 84%|████████▍ | 21/25 [00:13<00:02, 1.51it/s] 88%|████████▊ | 22/25 [00:14<00:01, 1.51it/s] 92%|█████████▏| 23/25 [00:15<00:01, 1.51it/s] 96%|█████████▌| 24/25 [00:15<00:00, 1.51it/s] 100%|██████████| 25/25 [00:16<00:00, 1.52it/s] 100%|██████████| 25/25 [00:16<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 3.0ms preprocess, 8.0ms inference, 32.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.43it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.76it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.39it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.75it/s] 42%|████▏ | 5/12 [00:00<00:01, 5.98it/s] 50%|█████ | 6/12 [00:01<00:00, 6.08it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.12it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.22it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.28it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.30it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.34it/s] 100%|██████████| 12/12 [00:02<00:00, 6.41it/s] 100%|██████████| 12/12 [00:02<00:00, 5.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.68it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.52it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.46it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.46it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.43it/s] 50%|█████ | 6/12 [00:00<00:00, 6.36it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.34it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.33it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.35it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.38it/s] 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0: 640x640 (no detections), 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.61it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.51it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.45it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.41it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.40it/s] 50%|█████ | 6/12 [00:00<00:00, 6.32it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.29it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.32it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.34it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.35it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.35it/s] 100%|██████████| 12/12 [00:01<00:00, 6.40it/s] 100%|██████████| 12/12 [00:01<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.63it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.48it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.44it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.43it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.41it/s] 50%|█████ | 6/12 [00:00<00:00, 6.35it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.34it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.33it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.33it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.34it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.35it/s] 100%|██████████| 12/12 [00:01<00:00, 6.41it/s] 100%|██████████| 12/12 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.55it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.49it/s] 25%|██▌ | 3/12 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6.29it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.32it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.35it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.35it/s] 100%|██████████| 12/12 [00:01<00:00, 6.39it/s] 100%|██████████| 12/12 [00:01<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.