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majicmix-lux
majicmix-lux

majicmix-lux

6 stars
Version: v3.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
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Output
https://files.tungsten.run/uploads/42410f2872cb41379dd6e819551c6676/00000-1550107704.webp
https://files.tungsten.run/uploads/11cb8da1be7c48b48496c91a1804121e/00001-1550107705.webp
https://files.tungsten.run/uploads/c0b8b5c0191d4e56bb6c8859503b5ee6/00002-1550107706.webp
https://files.tungsten.run/uploads/74d4ed7523c44da2b1a06d900048a2dd/00003-1550107707.webp
This example was created by evevalentine2017
Finished in 48.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Incredibly gorgeous woman, solo, cute, very beautiful, masterpiece, (cowboy shot), 1girl, (fractal art:1.3), colorful, highest detailed light passing through hair, (ocean background), (official art, extreme detailed, highest detailed), HDR+, <lora:epiCRealLife:1>, <lora:spotlight:0.8>, spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:1.0> Full negative prompt: (portrait), (focus on face), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:26, 1.40s/it] 10%|█ | 2/20 [00:02<00:17, 1.01it/s] 15%|█▌ | 3/20 [00:02<00:14, 1.17it/s] 20%|██ | 4/20 [00:03<00:12, 1.26it/s] 25%|██▌ | 5/20 [00:04<00:11, 1.31it/s] 30%|███ | 6/20 [00:04<00:10, 1.35it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.38it/s] 40%|████ | 8/20 [00:06<00:08, 1.39it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.40it/s] 50%|█████ | 10/20 [00:07<00:07, 1.41it/s] 55%|█████▌ | 11/20 [00:08<00:06, 1.41it/s] 60%|██████ | 12/20 [00:09<00:05, 1.42it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.42it/s] 70%|███████ | 14/20 [00:10<00:04, 1.42it/s] 75%|███████▌ | 15/20 [00:11<00:03, 1.43it/s] 80%|████████ | 16/20 [00:11<00:02, 1.42it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.42it/s] 90%|█████████ | 18/20 [00:13<00:01, 1.43it/s] 95%|█████████▌| 19/20 [00:14<00:00, 1.43it/s] 100%|██████████| 20/20 [00:14<00:00, 1.43it/s] 100%|██████████| 20/20 [00:14<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 32.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:02, 3.37it/s] 25%|██▌ | 2/8 [00:00<00:01, 4.65it/s] 38%|███▊ | 3/8 [00:00<00:00, 5.27it/s] 50%|█████ | 4/8 [00:00<00:00, 5.64it/s] 62%|██████▎ | 5/8 [00:00<00:00, 5.87it/s] 75%|███████▌ | 6/8 [00:01<00:00, 5.88it/s] 88%|████████▊ | 7/8 [00:01<00:00, 5.85it/s] 100%|██████████| 8/8 [00:01<00:00, 5.92it/s] 100%|██████████| 8/8 [00:01<00:00, 5.57it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.63it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.35it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.34it/s] 50%|█████ | 4/8 [00:00<00:00, 6.33it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.31it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.18it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.06it/s] 100%|██████████| 8/8 [00:01<00:00, 6.06it/s] 100%|██████████| 8/8 [00:01<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.6ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.49it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.31it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.26it/s] 50%|█████ | 4/8 [00:00<00:00, 6.26it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.25it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.16it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.14it/s] 100%|██████████| 8/8 [00:01<00:00, 6.14it/s] 100%|██████████| 8/8 [00:01<00:00, 6.20it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 10.3ms preprocess, 7.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.59it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.37it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.32it/s] 50%|█████ | 4/8 [00:00<00:00, 6.29it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.28it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.14it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.15it/s] 100%|██████████| 8/8 [00:01<00:00, 6.17it/s] 100%|██████████| 8/8 [00:01<00:00, 6.22it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.23s 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.35it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.30it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.28it/s] 50%|█████ | 4/8 [00:00<00:00, 6.26it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.13it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.07it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.11it/s] 100%|██████████| 8/8 [00:01<00:00, 6.17it/s] 100%|██████████| 8/8 [00:01<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.38it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.33it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.29it/s] 50%|█████ | 4/8 [00:00<00:00, 6.30it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.29it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.18it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.15it/s] 100%|██████████| 8/8 [00:01<00:00, 6.14it/s] 100%|██████████| 8/8 [00:01<00:00, 6.21it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.53it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.34it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.26it/s] 50%|█████ | 4/8 [00:00<00:00, 6.25it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.26it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.13it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.10it/s] 100%|██████████| 8/8 [00:01<00:00, 6.10it/s] 100%|██████████| 8/8 [00:01<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.50it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.33it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.27it/s] 50%|█████ | 4/8 [00:00<00:00, 6.26it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.26it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.15it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.19it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.47it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.35it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.31it/s] 50%|█████ | 4/8 [00:00<00:00, 6.27it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.26it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.15it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.20it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.29it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.26it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.28it/s] 50%|█████ | 4/8 [00:00<00:00, 6.26it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.14it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.10it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.12it/s] 100%|██████████| 8/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.16it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/42410f2872cb41379dd6e819551c6676/00000-1550107704.webp
https://files.tungsten.run/uploads/11cb8da1be7c48b48496c91a1804121e/00001-1550107705.webp
https://files.tungsten.run/uploads/c0b8b5c0191d4e56bb6c8859503b5ee6/00002-1550107706.webp
https://files.tungsten.run/uploads/74d4ed7523c44da2b1a06d900048a2dd/00003-1550107707.webp
This example was created by evevalentine2017
Finished in 48.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Incredibly gorgeous woman, solo, cute, very beautiful, masterpiece, (cowboy shot), 1girl, (fractal art:1.3), colorful, highest detailed light passing through hair, (ocean background), (official art, extreme detailed, highest detailed), HDR+, <lora:epiCRealLife:1>, <lora:spotlight:0.8>, spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:1.0> Full negative prompt: (portrait), (focus on face), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:26, 1.40s/it] 10%|█ | 2/20 [00:02<00:17, 1.01it/s] 15%|█▌ | 3/20 [00:02<00:14, 1.17it/s] 20%|██ | 4/20 [00:03<00:12, 1.26it/s] 25%|██▌ | 5/20 [00:04<00:11, 1.31it/s] 30%|███ | 6/20 [00:04<00:10, 1.35it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.38it/s] 40%|████ | 8/20 [00:06<00:08, 1.39it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.40it/s] 50%|█████ | 10/20 [00:07<00:07, 1.41it/s] 55%|█████▌ | 11/20 [00:08<00:06, 1.41it/s] 60%|██████ | 12/20 [00:09<00:05, 1.42it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.42it/s] 70%|███████ | 14/20 [00:10<00:04, 1.42it/s] 75%|███████▌ | 15/20 [00:11<00:03, 1.43it/s] 80%|████████ | 16/20 [00:11<00:02, 1.42it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.42it/s] 90%|█████████ | 18/20 [00:13<00:01, 1.43it/s] 95%|█████████▌| 19/20 [00:14<00:00, 1.43it/s] 100%|██████████| 20/20 [00:14<00:00, 1.43it/s] 100%|██████████| 20/20 [00:14<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 32.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:02, 3.37it/s] 25%|██▌ | 2/8 [00:00<00:01, 4.65it/s] 38%|███▊ | 3/8 [00:00<00:00, 5.27it/s] 50%|█████ | 4/8 [00:00<00:00, 5.64it/s] 62%|██████▎ | 5/8 [00:00<00:00, 5.87it/s] 75%|███████▌ | 6/8 [00:01<00:00, 5.88it/s] 88%|████████▊ | 7/8 [00:01<00:00, 5.85it/s] 100%|██████████| 8/8 [00:01<00:00, 5.92it/s] 100%|██████████| 8/8 [00:01<00:00, 5.57it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.63it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.35it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.34it/s] 50%|█████ | 4/8 [00:00<00:00, 6.33it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.31it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.18it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.06it/s] 100%|██████████| 8/8 [00:01<00:00, 6.06it/s] 100%|██████████| 8/8 [00:01<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.6ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.49it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.31it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.26it/s] 50%|█████ | 4/8 [00:00<00:00, 6.26it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.25it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.16it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.14it/s] 100%|██████████| 8/8 [00:01<00:00, 6.14it/s] 100%|██████████| 8/8 [00:01<00:00, 6.20it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 10.3ms preprocess, 7.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.59it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.37it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.32it/s] 50%|█████ | 4/8 [00:00<00:00, 6.29it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.28it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.14it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.15it/s] 100%|██████████| 8/8 [00:01<00:00, 6.17it/s] 100%|██████████| 8/8 [00:01<00:00, 6.22it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.23s 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.35it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.30it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.28it/s] 50%|█████ | 4/8 [00:00<00:00, 6.26it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.13it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.07it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.11it/s] 100%|██████████| 8/8 [00:01<00:00, 6.17it/s] 100%|██████████| 8/8 [00:01<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.38it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.33it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.29it/s] 50%|█████ | 4/8 [00:00<00:00, 6.30it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.29it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.18it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.15it/s] 100%|██████████| 8/8 [00:01<00:00, 6.14it/s] 100%|██████████| 8/8 [00:01<00:00, 6.21it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.53it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.34it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.26it/s] 50%|█████ | 4/8 [00:00<00:00, 6.25it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.26it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.13it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.10it/s] 100%|██████████| 8/8 [00:01<00:00, 6.10it/s] 100%|██████████| 8/8 [00:01<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.50it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.33it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.27it/s] 50%|█████ | 4/8 [00:00<00:00, 6.26it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.26it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.15it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.19it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.47it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.35it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.31it/s] 50%|█████ | 4/8 [00:00<00:00, 6.27it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.26it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.15it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.20it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.29it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.26it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.28it/s] 50%|█████ | 4/8 [00:00<00:00, 6.26it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.14it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.10it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.12it/s] 100%|██████████| 8/8 [00:01<00:00, 6.13it/s] 100%|██████████| 8/8 [00:01<00:00, 6.16it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Uploading outputs... Finished.