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Frilled Dress with Kawaii Niji Mix
kawaii-niji-mix:v1.0
evevalentine2017
evevalentine2017
·
Mar 18
356
Input
prompt
Specify things to see in the output
1girl, kawaii, cute, detailed eye, long hair, two-tone hair, split-color hair, multicolored hair, black hair, pink hair, yellow eyes, red dress, blue frilled dress, makeup, magical girl, twintails,mini crown,magical uniform,outstretched arm,
negative_prompt
Specify things to not see in the output
watermark, sepia, black & white, EasyNegative, NG_DeepNegative_V1_75T, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),(ugly:1.33)
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.
3167998429
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
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
anything_fp16.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>
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)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/6cae1051a4c34ad589fdb0106c746b3d/00000-3167998429.webp
https://files.tungsten.run/uploads/11532c382e5a4b03ab5a94afd3936280/00001-3167998430.webp
https://files.tungsten.run/uploads/893391d8e31c4aaa87fd597678e00b7b/00002-3167998431.webp
https://files.tungsten.run/uploads/138aa642477749c381e160aa86c37b5d/00003-3167998432.webp
Finished in 53.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/anything_fp16.safetensors Full prompt: 1girl, kawaii, cute, detailed eye, long hair, two-tone hair, split-color hair, multicolored hair, black hair, pink hair, yellow eyes, red dress, blue frilled dress, makeup, magical girl, twintails,mini crown,magical uniform,outstretched arm, Full negative prompt: watermark, sepia, black & white, EasyNegative, NG_DeepNegative_V1_75T, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),(ugly:1.33) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:14, 1.56it/s] 8%|▊ | 2/24 [00:01<00:14, 1.51it/s] 12%|█▎ | 3/24 [00:01<00:13, 1.51it/s] 17%|█▋ | 4/24 [00:02<00:13, 1.50it/s] 21%|██ | 5/24 [00:03<00:12, 1.49it/s] 25%|██▌ | 6/24 [00:03<00:12, 1.49it/s] 29%|██▉ | 7/24 [00:04<00:11, 1.49it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.48it/s] 38%|███▊ | 9/24 [00:06<00:10, 1.48it/s] 42%|████▏ | 10/24 [00:06<00:09, 1.48it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.47it/s] 50%|█████ | 12/24 [00:08<00:08, 1.47it/s] 54%|█████▍ | 13/24 [00:08<00:07, 1.47it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.47it/s] 62%|██████▎ | 15/24 [00:10<00:06, 1.47it/s] 67%|██████▋ | 16/24 [00:10<00:05, 1.47it/s] 71%|███████ | 17/24 [00:11<00:04, 1.47it/s] 75%|███████▌ | 18/24 [00:12<00:04, 1.47it/s] 79%|███████▉ | 19/24 [00:12<00:03, 1.47it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.47it/s] 88%|████████▊ | 21/24 [00:14<00:02, 1.47it/s] 92%|█████████▏| 22/24 [00:14<00:01, 1.46it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.46it/s] 100%|██████████| 24/24 [00:16<00:00, 1.46it/s] 100%|██████████| 24/24 [00:16<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.3ms Speed: 2.9ms preprocess, 8.3ms inference, 30.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 3.40it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.74it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.42it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.82it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.01it/s] 55%|█████▍ | 6/11 [00:01<00:00, 6.04it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.06it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.09it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.16it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.26it/s] 100%|██████████| 11/11 [00:01<00:00, 6.28it/s] 100%|██████████| 11/11 [00:01<00:00, 5.88it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.90it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.32it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.41it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.45it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.38it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.32it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.24it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.26it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.33it/s] 100%|██████████| 11/11 [00:01<00:00, 6.36it/s] 100%|██████████| 11/11 [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 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.92it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.69it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.52it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.78it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.98it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.00it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.03it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.14it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.15it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.21it/s] 100%|██████████| 11/11 [00:01<00:00, 6.25it/s] 100%|██████████| 11/11 [00:01<00:00, 6.18it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.81it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.60it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.54it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.30it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.27it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.21it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.94it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.98it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.07it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.20it/s] 100%|██████████| 11/11 [00:01<00:00, 6.27it/s] 100%|██████████| 11/11 [00:01<00:00, 6.23it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.64it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.51it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.46it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.46it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.08it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.07it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.09it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.15it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.25it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.30it/s] 100%|██████████| 11/11 [00:01<00:00, 6.22it/s] 100%|██████████| 11/11 [00:01<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.55it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.46it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.47it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.47it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.35it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.23it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.16it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.21it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.27it/s] 100%|██████████| 11/11 [00:01<00:00, 6.32it/s] 100%|██████████| 11/11 [00:01<00:00, 6.33it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.45it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.47it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.45it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.47it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.28it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.13it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.03it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.13it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.20it/s] 100%|██████████| 11/11 [00:01<00:00, 6.25it/s] 100%|██████████| 11/11 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.53it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.98it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.20it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.25it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.17it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.13it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.11it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.09it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.13it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.17it/s] 100%|██████████| 11/11 [00:01<00:00, 6.17it/s] 100%|██████████| 11/11 [00:01<00:00, 6.16it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.87it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.68it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.60it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.57it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.56it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.40it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.29it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.22it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.25it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.19it/s] 100%|██████████| 11/11 [00:01<00:00, 6.29it/s] 100%|██████████| 11/11 [00:01<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.30it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.45it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.47it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.49it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.51it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.44it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.36it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.30it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.31it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.37it/s] 100%|██████████| 11/11 [00:01<00:00, 6.39it/s] 100%|██████████| 11/11 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.39it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.39it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.47it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.47it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.26it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.21it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.18it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.26it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.32it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.32it/s] 100%|██████████| 11/11 [00:01<00:00, 6.28it/s] 100%|██████████| 11/11 [00:01<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
1girl, kawaii, cute, detailed eye, long hair, two-tone hair, split-color hair, multicolored hair, black hair, pink hair, yellow eyes, red dress, blue frilled dress, makeup, magical girl, twintails,mini crown,magical uniform,outstretched arm,
negative_prompt
Specify things to not see in the output
watermark, sepia, black & white, EasyNegative, NG_DeepNegative_V1_75T, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),(ugly:1.33)
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.
3167998429
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
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
anything_fp16.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>
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)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/6cae1051a4c34ad589fdb0106c746b3d/00000-3167998429.webp
https://files.tungsten.run/uploads/11532c382e5a4b03ab5a94afd3936280/00001-3167998430.webp
https://files.tungsten.run/uploads/893391d8e31c4aaa87fd597678e00b7b/00002-3167998431.webp
https://files.tungsten.run/uploads/138aa642477749c381e160aa86c37b5d/00003-3167998432.webp
Finished in 53.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/anything_fp16.safetensors Full prompt: 1girl, kawaii, cute, detailed eye, long hair, two-tone hair, split-color hair, multicolored hair, black hair, pink hair, yellow eyes, red dress, blue frilled dress, makeup, magical girl, twintails,mini crown,magical uniform,outstretched arm, Full negative prompt: watermark, sepia, black & white, EasyNegative, NG_DeepNegative_V1_75T, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),(ugly:1.33) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:14, 1.56it/s] 8%|▊ | 2/24 [00:01<00:14, 1.51it/s] 12%|█▎ | 3/24 [00:01<00:13, 1.51it/s] 17%|█▋ | 4/24 [00:02<00:13, 1.50it/s] 21%|██ | 5/24 [00:03<00:12, 1.49it/s] 25%|██▌ | 6/24 [00:03<00:12, 1.49it/s] 29%|██▉ | 7/24 [00:04<00:11, 1.49it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.48it/s] 38%|███▊ | 9/24 [00:06<00:10, 1.48it/s] 42%|████▏ | 10/24 [00:06<00:09, 1.48it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.47it/s] 50%|█████ | 12/24 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82%|████████▏ | 9/11 [00:01<00:00, 6.25it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.30it/s] 100%|██████████| 11/11 [00:01<00:00, 6.22it/s] 100%|██████████| 11/11 [00:01<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.55it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.46it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.47it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.47it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.35it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.23it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.16it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.21it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.27it/s] 100%|██████████| 11/11 [00:01<00:00, 6.32it/s] 100%|██████████| 11/11 [00:01<00:00, 6.33it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 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6.13it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.11it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.09it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.13it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.17it/s] 100%|██████████| 11/11 [00:01<00:00, 6.17it/s] 100%|██████████| 11/11 [00:01<00:00, 6.16it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.87it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.68it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.60it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.57it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.56it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.40it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.29it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.22it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.25it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.19it/s] 100%|██████████| 11/11 [00:01<00:00, 6.29it/s] 100%|██████████| 11/11 [00:01<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.30it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.45it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.47it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.49it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.51it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.44it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.36it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.30it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.31it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.37it/s] 100%|██████████| 11/11 [00:01<00:00, 6.39it/s] 100%|██████████| 11/11 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.39it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.39it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.47it/s] 36%|███▋ | 4/11 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Finished.