Cute Bunny Girls with Komorebi Mix
Input
prompt
Specify things to see in the output
beautiful illustration, best quality, cute girl, (watercolor), rabbit, (carrot:0.8), happy
negative_prompt
Specify things to not see in the output
more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000
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.
1298060755
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
39
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>
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/5c6bb0ef16f342cdb86214183119aea9/00000-1298060755.webp
https://files.tungsten.run/uploads/caf7a5e4fa8d4c1ba729912d3fdc7c2f/00001-1298060756.webp
https://files.tungsten.run/uploads/3287a05b80f94e9c935147baa8ac4ff2/00002-1298060757.webp
https://files.tungsten.run/uploads/7f617269d6684988b19862600edd518d/00003-1298060758.webp
Finished in 77.6 seconds
Preparing model evevalentine2017/komorebi-mix:v1.0... v1.0: Pulling from evevalentine2017/komorebi-mix 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 08b71bd567e4: Pull complete 35d26370851c: Pull complete 6782e69cdd41: Pull complete Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: beautiful illustration, best quality, cute girl, (watercolor), rabbit, (carrot:0.8), happy Full negative prompt: more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000 0%| | 0/39 [00:00<?, ?it/s] 3%|▎ | 1/39 [00:00<00:23, 1.59it/s] 5%|▌ | 2/39 [00:01<00:23, 1.57it/s] 8%|▊ | 3/39 [00:01<00:22, 1.57it/s] 10%|█ | 4/39 [00:02<00:22, 1.56it/s] 13%|█▎ | 5/39 [00:03<00:21, 1.56it/s] 15%|█▌ | 6/39 [00:03<00:21, 1.56it/s] 18%|█▊ | 7/39 [00:04<00:20, 1.55it/s] 21%|██ | 8/39 [00:05<00:19, 1.55it/s] 23%|██▎ | 9/39 [00:05<00:19, 1.55it/s] 26%|██▌ | 10/39 [00:06<00:18, 1.55it/s] 28%|██▊ | 11/39 [00:07<00:18, 1.55it/s] 31%|███ | 12/39 [00:07<00:17, 1.54it/s] 33%|███▎ | 13/39 [00:08<00:16, 1.54it/s] 36%|███▌ | 14/39 [00:09<00:16, 1.54it/s] 38%|███▊ | 15/39 [00:09<00:15, 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6.38it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.44it/s] 100%|██████████| 18/18 [00:02<00:00, 6.46it/s] 100%|██████████| 18/18 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 8.0ms Speed: 3.9ms preprocess, 8.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.36it/s] 11%|█ | 2/18 [00:00<00:02, 6.46it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.51it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.55it/s] 28%|██▊ | 5/18 [00:00<00:01, 6.52it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.39it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.32it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.32it/s] 50%|█████ | 9/18 [00:01<00:01, 6.41it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.47it/s] 61%|██████ | 11/18 [00:01<00:01, 6.48it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.41it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.33it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.28it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.34it/s] 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6.32it/s] 100%|██████████| 18/18 [00:02<00:00, 6.28it/s] 100%|██████████| 18/18 [00:02<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.34it/s] 11%|█ | 2/18 [00:00<00:02, 6.40it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.35it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.44it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.47it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.34it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.24it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.27it/s] 50%|█████ | 9/18 [00:01<00:01, 6.34it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.35it/s] 61%|██████ | 11/18 [00:01<00:01, 6.39it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.33it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.20it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.17it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.22it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.29it/s] 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Finished.
prompt
Specify things to see in the output
beautiful illustration, best quality, cute girl, (watercolor), rabbit, (carrot:0.8), happy
negative_prompt
Specify things to not see in the output
more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000
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.
1298060755
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
39
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>
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/5c6bb0ef16f342cdb86214183119aea9/00000-1298060755.webp
https://files.tungsten.run/uploads/caf7a5e4fa8d4c1ba729912d3fdc7c2f/00001-1298060756.webp
https://files.tungsten.run/uploads/3287a05b80f94e9c935147baa8ac4ff2/00002-1298060757.webp
https://files.tungsten.run/uploads/7f617269d6684988b19862600edd518d/00003-1298060758.webp
Finished in 77.6 seconds
Preparing model evevalentine2017/komorebi-mix:v1.0... v1.0: Pulling from evevalentine2017/komorebi-mix 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 08b71bd567e4: Pull complete 35d26370851c: Pull complete 6782e69cdd41: Pull complete Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: beautiful illustration, best quality, cute girl, (watercolor), rabbit, (carrot:0.8), happy Full negative prompt: more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000 0%| | 0/39 [00:00<?, ?it/s] 3%|▎ | 1/39 [00:00<00:23, 1.59it/s] 5%|▌ | 2/39 [00:01<00:23, 1.57it/s] 8%|▊ | 3/39 [00:01<00:22, 1.57it/s] 10%|█ | 4/39 [00:02<00:22, 1.56it/s] 13%|█▎ | 5/39 [00:03<00:21, 1.56it/s] 15%|█▌ | 6/39 [00:03<00:21, 1.56it/s] 18%|█▊ | 7/39 [00:04<00:20, 1.55it/s] 21%|██ | 8/39 [00:05<00:19, 1.55it/s] 23%|██▎ | 9/39 [00:05<00:19, 1.55it/s] 26%|██▌ | 10/39 [00:06<00:18, 1.55it/s] 28%|██▊ | 11/39 [00:07<00:18, 1.55it/s] 31%|███ | 12/39 [00:07<00:17, 1.54it/s] 33%|███▎ | 13/39 [00:08<00:16, 1.54it/s] 36%|███▌ | 14/39 [00:09<00:16, 1.54it/s] 38%|███▊ | 15/39 [00:09<00:15, 1.54it/s] 41%|████ | 16/39 [00:10<00:14, 1.54it/s] 44%|████▎ | 17/39 [00:10<00:14, 1.54it/s] 46%|████▌ | 18/39 [00:11<00:13, 1.53it/s] 49%|████▊ | 19/39 [00:12<00:13, 1.53it/s] 51%|█████▏ | 20/39 [00:12<00:12, 1.53it/s] 54%|█████▍ | 21/39 [00:13<00:11, 1.53it/s] 56%|█████▋ | 22/39 [00:14<00:11, 1.53it/s] 59%|█████▉ | 23/39 [00:14<00:10, 1.53it/s] 62%|██████▏ | 24/39 [00:15<00:09, 1.53it/s] 64%|██████▍ | 25/39 [00:16<00:09, 1.53it/s] 67%|██████▋ | 26/39 [00:16<00:08, 1.52it/s] 69%|██████▉ | 27/39 [00:17<00:07, 1.52it/s] 72%|███████▏ | 28/39 [00:18<00:07, 1.52it/s] 74%|███████▍ | 29/39 [00:18<00:06, 1.52it/s] 77%|███████▋ | 30/39 [00:19<00:05, 1.52it/s] 79%|███████▉ | 31/39 [00:20<00:05, 1.52it/s] 82%|████████▏ | 32/39 [00:20<00:04, 1.52it/s] 85%|████████▍ | 33/39 [00:21<00:03, 1.51it/s] 87%|████████▋ | 34/39 [00:22<00:03, 1.52it/s] 90%|████████▉ | 35/39 [00:22<00:02, 1.51it/s] 92%|█████████▏| 36/39 [00:23<00:01, 1.51it/s] 95%|█████████▍| 37/39 [00:24<00:01, 1.51it/s] 97%|█████████▋| 38/39 [00:24<00:00, 1.51it/s] 100%|██████████| 39/39 [00:25<00:00, 1.51it/s] 100%|██████████| 39/39 [00:25<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.2ms Speed: 3.0ms preprocess, 9.2ms inference, 35.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:05, 3.32it/s] 11%|█ | 2/18 [00:00<00:03, 4.71it/s] 17%|█▋ | 3/18 [00:00<00:02, 5.36it/s] 22%|██▏ | 4/18 [00:00<00:02, 5.71it/s] 28%|██▊ | 5/18 [00:00<00:02, 5.96it/s] 33%|███▎ | 6/18 [00:01<00:01, 6.07it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.14it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.22it/s] 50%|█████ | 9/18 [00:01<00:01, 6.32it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.41it/s] 61%|██████ | 11/18 [00:01<00:01, 6.47it/s] 67%|██████▋ | 12/18 [00:02<00:00, 6.41it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.35it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.31it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.33it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.40it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.47it/s] 100%|██████████| 18/18 [00:02<00:00, 6.49it/s] 100%|██████████| 18/18 [00:02<00:00, 6.12it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 8.1ms Speed: 2.9ms preprocess, 8.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.10it/s] 11%|█ | 2/18 [00:00<00:02, 6.40it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.46it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.47it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.45it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.42it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.37it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.37it/s] 50%|█████ | 9/18 [00:01<00:01, 6.35it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.37it/s] 61%|██████ | 11/18 [00:01<00:01, 6.45it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.37it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.35it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.32it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.35it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.36it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.39it/s] 100%|██████████| 18/18 [00:02<00:00, 6.43it/s] 100%|██████████| 18/18 [00:02<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.61it/s] 11%|█ | 2/18 [00:00<00:02, 6.58it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.55it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.47it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.32it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.26it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.30it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.32it/s] 50%|█████ | 9/18 [00:01<00:01, 6.28it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.32it/s] 61%|██████ | 11/18 [00:01<00:01, 6.34it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.33it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.32it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.39it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.42it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.44it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.43it/s] 100%|██████████| 18/18 [00:02<00:00, 6.37it/s] 100%|██████████| 18/18 [00:02<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, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.91it/s] 11%|█ | 2/18 [00:00<00:02, 6.69it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.64it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.63it/s] 28%|██▊ | 5/18 [00:00<00:01, 6.64it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.52it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.42it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.39it/s] 50%|█████ | 9/18 [00:01<00:01, 6.40it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.45it/s] 61%|██████ | 11/18 [00:01<00:01, 6.49it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.48it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.38it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.32it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.32it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.38it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.44it/s] 100%|██████████| 18/18 [00:02<00:00, 6.46it/s] 100%|██████████| 18/18 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 8.0ms Speed: 3.9ms preprocess, 8.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.36it/s] 11%|█ | 2/18 [00:00<00:02, 6.46it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.51it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.55it/s] 28%|██▊ | 5/18 [00:00<00:01, 6.52it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.39it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.32it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.32it/s] 50%|█████ | 9/18 [00:01<00:01, 6.41it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.47it/s] 61%|██████ | 11/18 [00:01<00:01, 6.48it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.41it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.33it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.28it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.34it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.37it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.42it/s] 100%|██████████| 18/18 [00:02<00:00, 6.40it/s] 100%|██████████| 18/18 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.12it/s] 11%|█ | 2/18 [00:00<00:02, 6.37it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.46it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.45it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.32it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.22it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.28it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.29it/s] 50%|█████ | 9/18 [00:01<00:01, 6.31it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.37it/s] 61%|██████ | 11/18 [00:01<00:01, 6.34it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.26it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.27it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.26it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.25it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.32it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.32it/s] 100%|██████████| 18/18 [00:02<00:00, 6.28it/s] 100%|██████████| 18/18 [00:02<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.34it/s] 11%|█ | 2/18 [00:00<00:02, 6.40it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.35it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.44it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.47it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.34it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.24it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.27it/s] 50%|█████ | 9/18 [00:01<00:01, 6.34it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.35it/s] 61%|██████ | 11/18 [00:01<00:01, 6.39it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.33it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.20it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.17it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.22it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.29it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.33it/s] 100%|██████████| 18/18 [00:02<00:00, 6.35it/s] 100%|██████████| 18/18 [00:02<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.6ms Speed: 2.5ms preprocess, 6.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.61it/s] 11%|█ | 2/18 [00:00<00:02, 6.57it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.43it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.39it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.42it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.29it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.27it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.25it/s] 50%|█████ | 9/18 [00:01<00:01, 6.24it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.29it/s] 61%|██████ | 11/18 [00:01<00:01, 6.35it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.30it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.25it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.20it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.24it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.24it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.30it/s] 100%|██████████| 18/18 [00:02<00:00, 6.26it/s] 100%|██████████| 18/18 [00:02<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.12it/s] 11%|█ | 2/18 [00:00<00:02, 6.22it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.28it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.34it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.20it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.09it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.20it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.25it/s] 50%|█████ | 9/18 [00:01<00:01, 6.31it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.32it/s] 61%|██████ | 11/18 [00:01<00:01, 6.24it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.18it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.22it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.23it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.29it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.32it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.26it/s] 100%|██████████| 18/18 [00:02<00:00, 6.22it/s] 100%|██████████| 18/18 [00:02<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.88it/s] 11%|█ | 2/18 [00:00<00:02, 6.60it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.53it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.50it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.48it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.29it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.17it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.14it/s] 50%|█████ | 9/18 [00:01<00:01, 6.23it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.30it/s] 61%|██████ | 11/18 [00:01<00:01, 6.31it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.24it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.16it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.16it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.21it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.28it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.25it/s] 100%|██████████| 18/18 [00:02<00:00, 6.22it/s] 100%|██████████| 18/18 [00:02<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.7ms Speed: 2.6ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.30it/s] 11%|█ | 2/18 [00:00<00:02, 6.37it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.37it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.39it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.36it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.24it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.11it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.08it/s] 50%|█████ | 9/18 [00:01<00:01, 6.17it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.24it/s] 61%|██████ | 11/18 [00:01<00:01, 6.29it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.15it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.12it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.13it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.15it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.19it/s] 100%|██████████| 18/18 [00:02<00:00, 6.17it/s] 100%|██████████| 18/18 [00:02<00:00, 6.20it/s] Decoding latents in cuda:0... done in 0.26s Move latents to cpu... done in 0.0s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.18it/s] 11%|█ | 2/18 [00:00<00:02, 6.28it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.28it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.30it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.10it/s] 33%|███▎ | 6/18 [00:00<00:02, 5.97it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.03it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.10it/s] 50%|█████ | 9/18 [00:01<00:01, 6.11it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.15it/s] 61%|██████ | 11/18 [00:01<00:01, 6.11it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.01it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.06it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.11it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.16it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.17it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.14it/s] 100%|██████████| 18/18 [00:02<00:00, 6.05it/s] 100%|██████████| 18/18 [00:02<00:00, 6.11it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.