animatrix
animatrix
3 stars
Version: v2.0
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/a7a1ad62f8d345aba314c2ffbbd17fc7/00000-4014846638.webp
https://files.tungsten.run/uploads/4770fece342141348b501b404a9a12b6/00001-4014846639.webp
https://files.tungsten.run/uploads/fb60fb77222846a98810e3583f82df0d/00002-4014846640.webp
https://files.tungsten.run/uploads/4b695361c3d44fbf86a4dfa00070b197/00003-4014846641.webp
This example was created by evevalentine2017
Finished in 57.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (Masterpiece, best quality, professional shading), dynamic full body pov shot from low angle, 1girl, solo, psylocke_main, mature female, long iridescent purple hair, blue eyes, (detailed face and eyes):1.2, remarkable eye color, glowing eyes, hourglass figure, large breast, big ass, slim body, superhero action shot, flying across a dystopian city street, (facing the viewer), cinematic scene, starry night sky, bokeh, br_max, (rim light, diffused artificial white light panel, highly detailed, v-ray render, hyperrealism), <lora:betsy2-10:0.9>,<lora:Gloomifier_V2_TheGlow:1.8> Full negative prompt: (worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((more than 1 person)) 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:01<00:46, 1.25s/it] 5%|▌ | 2/38 [00:01<00:31, 1.14it/s] 8%|▊ | 3/38 [00:02<00:26, 1.33it/s] 11%|█ | 4/38 [00:03<00:23, 1.43it/s] 13%|█▎ | 5/38 [00:03<00:22, 1.50it/s] 16%|█▌ | 6/38 [00:04<00:20, 1.54it/s] 18%|█▊ | 7/38 [00:04<00:19, 1.57it/s] 21%|██ | 8/38 [00:05<00:18, 1.59it/s] 24%|██▎ | 9/38 [00:06<00:18, 1.60it/s] 26%|██▋ | 10/38 [00:06<00:17, 1.61it/s] 29%|██▉ | 11/38 [00:07<00:16, 1.62it/s] 32%|███▏ | 12/38 [00:07<00:16, 1.62it/s] 34%|███▍ | 13/38 [00:08<00:15, 1.62it/s] 37%|███▋ | 14/38 [00:09<00:14, 1.63it/s] 39%|███▉ | 15/38 [00:09<00:14, 1.62it/s] 42%|████▏ | 16/38 [00:10<00:13, 1.63it/s] 45%|████▍ | 17/38 [00:11<00:12, 1.62it/s] 47%|████▋ | 18/38 [00:11<00:12, 1.63it/s] 50%|█████ | 19/38 [00:12<00:11, 1.63it/s] 53%|█████▎ | 20/38 [00:12<00:11, 1.63it/s] 55%|█████▌ | 21/38 [00:13<00:10, 1.63it/s] 58%|█████▊ | 22/38 [00:14<00:09, 1.63it/s] 61%|██████ | 23/38 [00:14<00:09, 1.63it/s] 63%|██████▎ | 24/38 [00:15<00:08, 1.63it/s] 66%|██████▌ | 25/38 [00:15<00:07, 1.63it/s] 68%|██████▊ | 26/38 [00:16<00:07, 1.63it/s] 71%|███████ | 27/38 [00:17<00:06, 1.63it/s] 74%|███████▎ | 28/38 [00:17<00:06, 1.63it/s] 76%|███████▋ | 29/38 [00:18<00:05, 1.63it/s] 79%|███████▉ | 30/38 [00:19<00:04, 1.63it/s] 82%|████████▏ | 31/38 [00:19<00:04, 1.63it/s] 84%|████████▍ | 32/38 [00:20<00:03, 1.63it/s] 87%|████████▋ | 33/38 [00:20<00:03, 1.63it/s] 89%|████████▉ | 34/38 [00:21<00:02, 1.63it/s] 92%|█████████▏| 35/38 [00:22<00:01, 1.62it/s] 95%|█████████▍| 36/38 [00:22<00:01, 1.62it/s] 97%|█████████▋| 37/38 [00:23<00:00, 1.62it/s] 100%|██████████| 38/38 [00:23<00:00, 1.62it/s] 100%|██████████| 38/38 [00:23<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.2ms Speed: 3.3ms preprocess, 9.2ms inference, 35.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:07, 2.59it/s] 10%|▉ | 2/21 [00:00<00:05, 3.63it/s] 14%|█▍ | 3/21 [00:00<00:04, 4.14it/s] 19%|█▉ | 4/21 [00:01<00:03, 4.29it/s] 24%|██▍ | 5/21 [00:01<00:03, 4.56it/s] 29%|██▊ | 6/21 [00:01<00:03, 4.75it/s] 33%|███▎ | 7/21 [00:01<00:02, 4.88it/s] 38%|███▊ | 8/21 [00:01<00:02, 4.98it/s] 43%|████▎ | 9/21 [00:01<00:02, 4.93it/s] 48%|████▊ | 10/21 [00:02<00:02, 5.00it/s] 52%|█████▏ | 11/21 [00:02<00:01, 5.06it/s] 57%|█████▋ | 12/21 [00:02<00:01, 5.09it/s] 62%|██████▏ | 13/21 [00:02<00:01, 5.12it/s] 67%|██████▋ | 14/21 [00:02<00:01, 5.00it/s] 71%|███████▏ | 15/21 [00:03<00:01, 5.06it/s] 76%|███████▌ | 16/21 [00:03<00:00, 5.10it/s] 81%|████████ | 17/21 [00:03<00:00, 5.12it/s] 86%|████████▌ | 18/21 [00:03<00:00, 5.04it/s] 90%|█████████ | 19/21 [00:03<00:00, 4.94it/s] 95%|█████████▌| 20/21 [00:04<00:00, 5.02it/s] 100%|██████████| 21/21 [00:04<00:00, 5.05it/s] 100%|██████████| 21/21 [00:04<00:00, 4.83it/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 0.43s Move latents to cpu... done in 0.22s 0: 640x640 1 face, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:03, 5.10it/s] 10%|▉ | 2/21 [00:00<00:03, 5.06it/s] 14%|█▍ | 3/21 [00:00<00:03, 5.09it/s] 19%|█▉ | 4/21 [00:00<00:03, 5.12it/s] 24%|██▍ | 5/21 [00:00<00:03, 5.11it/s] 29%|██▊ | 6/21 [00:01<00:02, 5.10it/s] 33%|███▎ | 7/21 [00:01<00:02, 4.96it/s] 38%|███▊ | 8/21 [00:01<00:02, 4.94it/s] 43%|████▎ | 9/21 [00:01<00:02, 5.01it/s] 48%|████▊ | 10/21 [00:01<00:02, 5.04it/s] 52%|█████▏ | 11/21 [00:02<00:01, 5.06it/s] 57%|█████▋ | 12/21 [00:02<00:01, 5.08it/s] 62%|██████▏ | 13/21 [00:02<00:01, 5.05it/s] 67%|██████▋ | 14/21 [00:02<00:01, 5.07it/s] 71%|███████▏ | 15/21 [00:02<00:01, 5.02it/s] 76%|███████▌ | 16/21 [00:03<00:00, 5.06it/s] 81%|████████ | 17/21 [00:03<00:00, 4.97it/s] 86%|████████▌ | 18/21 [00:03<00:00, 5.02it/s] 90%|█████████ | 19/21 [00:03<00:00, 5.05it/s] 95%|█████████▌| 20/21 [00:03<00:00, 5.05it/s] 100%|██████████| 21/21 [00:04<00:00, 5.07it/s] 100%|██████████| 21/21 [00:04<00:00, 5.05it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:04, 4.51it/s] 10%|▉ | 2/21 [00:00<00:03, 4.86it/s] 14%|█▍ | 3/21 [00:00<00:03, 4.96it/s] 19%|█▉ | 4/21 [00:00<00:03, 5.00it/s] 24%|██▍ | 5/21 [00:01<00:03, 4.99it/s] 29%|██▊ | 6/21 [00:01<00:03, 4.91it/s] 33%|███▎ | 7/21 [00:01<00:02, 4.97it/s] 38%|███▊ | 8/21 [00:01<00:02, 5.00it/s] 43%|████▎ | 9/21 [00:01<00:02, 4.93it/s] 48%|████▊ | 10/21 [00:02<00:02, 4.93it/s] 52%|█████▏ | 11/21 [00:02<00:02, 5.00it/s] 57%|█████▋ | 12/21 [00:02<00:01, 5.02it/s] 62%|██████▏ | 13/21 [00:02<00:01, 5.00it/s] 67%|██████▋ | 14/21 [00:02<00:01, 5.01it/s] 71%|███████▏ | 15/21 [00:03<00:01, 5.03it/s] 76%|███████▌ | 16/21 [00:03<00:01, 4.85it/s] 81%|████████ | 17/21 [00:03<00:00, 4.92it/s] 86%|████████▌ | 18/21 [00:03<00:00, 4.98it/s] 90%|█████████ | 19/21 [00:03<00:00, 4.99it/s] 95%|█████████▌| 20/21 [00:04<00:00, 4.97it/s] 100%|██████████| 21/21 [00:04<00:00, 4.95it/s] 100%|██████████| 21/21 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:03, 5.06it/s] 10%|▉ | 2/21 [00:00<00:03, 5.08it/s] 14%|█▍ | 3/21 [00:00<00:03, 5.09it/s] 19%|█▉ | 4/21 [00:00<00:03, 5.12it/s] 24%|██▍ | 5/21 [00:00<00:03, 5.05it/s] 29%|██▊ | 6/21 [00:01<00:02, 5.08it/s] 33%|███▎ | 7/21 [00:01<00:02, 5.02it/s] 38%|███▊ | 8/21 [00:01<00:02, 5.05it/s] 43%|████▎ | 9/21 [00:01<00:02, 5.08it/s] 48%|████▊ | 10/21 [00:01<00:02, 5.03it/s] 52%|█████▏ | 11/21 [00:02<00:01, 5.06it/s] 57%|█████▋ | 12/21 [00:02<00:01, 5.08it/s] 62%|██████▏ | 13/21 [00:02<00:01, 5.08it/s] 67%|██████▋ | 14/21 [00:02<00:01, 5.08it/s] 71%|███████▏ | 15/21 [00:02<00:01, 5.09it/s] 76%|███████▌ | 16/21 [00:03<00:00, 5.10it/s] 81%|████████ | 17/21 [00:03<00:00, 5.10it/s] 86%|████████▌ | 18/21 [00:03<00:00, 5.10it/s] 90%|█████████ | 19/21 [00:03<00:00, 5.07it/s] 95%|█████████▌| 20/21 [00:03<00:00, 4.99it/s] 100%|██████████| 21/21 [00:04<00:00, 5.03it/s] 100%|██████████| 21/21 [00:04<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 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/a7a1ad62f8d345aba314c2ffbbd17fc7/00000-4014846638.webp
https://files.tungsten.run/uploads/4770fece342141348b501b404a9a12b6/00001-4014846639.webp
https://files.tungsten.run/uploads/fb60fb77222846a98810e3583f82df0d/00002-4014846640.webp
https://files.tungsten.run/uploads/4b695361c3d44fbf86a4dfa00070b197/00003-4014846641.webp
This example was created by evevalentine2017
Finished in 57.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (Masterpiece, best quality, professional shading), dynamic full body pov shot from low angle, 1girl, solo, psylocke_main, mature female, long iridescent purple hair, blue eyes, (detailed face and eyes):1.2, remarkable eye color, glowing eyes, hourglass figure, large breast, big ass, slim body, superhero action shot, flying across a dystopian city street, (facing the viewer), cinematic scene, starry night sky, bokeh, br_max, (rim light, diffused artificial white light panel, highly detailed, v-ray render, hyperrealism), <lora:betsy2-10:0.9>,<lora:Gloomifier_V2_TheGlow:1.8> Full negative prompt: (worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((more than 1 person)) 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:01<00:46, 1.25s/it] 5%|▌ | 2/38 [00:01<00:31, 1.14it/s] 8%|▊ | 3/38 [00:02<00:26, 1.33it/s] 11%|█ | 4/38 [00:03<00:23, 1.43it/s] 13%|█▎ | 5/38 [00:03<00:22, 1.50it/s] 16%|█▌ | 6/38 [00:04<00:20, 1.54it/s] 18%|█▊ | 7/38 [00:04<00:19, 1.57it/s] 21%|██ | 8/38 [00:05<00:18, 1.59it/s] 24%|██▎ | 9/38 [00:06<00:18, 1.60it/s] 26%|██▋ | 10/38 [00:06<00:17, 1.61it/s] 29%|██▉ | 11/38 [00:07<00:16, 1.62it/s] 32%|███▏ | 12/38 [00:07<00:16, 1.62it/s] 34%|███▍ | 13/38 [00:08<00:15, 1.62it/s] 37%|███▋ | 14/38 [00:09<00:14, 1.63it/s] 39%|███▉ | 15/38 [00:09<00:14, 1.62it/s] 42%|████▏ | 16/38 [00:10<00:13, 1.63it/s] 45%|████▍ | 17/38 [00:11<00:12, 1.62it/s] 47%|████▋ | 18/38 [00:11<00:12, 1.63it/s] 50%|█████ | 19/38 [00:12<00:11, 1.63it/s] 53%|█████▎ | 20/38 [00:12<00:11, 1.63it/s] 55%|█████▌ | 21/38 [00:13<00:10, 1.63it/s] 58%|█████▊ | 22/38 [00:14<00:09, 1.63it/s] 61%|██████ | 23/38 [00:14<00:09, 1.63it/s] 63%|██████▎ | 24/38 [00:15<00:08, 1.63it/s] 66%|██████▌ | 25/38 [00:15<00:07, 1.63it/s] 68%|██████▊ | 26/38 [00:16<00:07, 1.63it/s] 71%|███████ | 27/38 [00:17<00:06, 1.63it/s] 74%|███████▎ | 28/38 [00:17<00:06, 1.63it/s] 76%|███████▋ | 29/38 [00:18<00:05, 1.63it/s] 79%|███████▉ | 30/38 [00:19<00:04, 1.63it/s] 82%|████████▏ | 31/38 [00:19<00:04, 1.63it/s] 84%|████████▍ | 32/38 [00:20<00:03, 1.63it/s] 87%|████████▋ | 33/38 [00:20<00:03, 1.63it/s] 89%|████████▉ | 34/38 [00:21<00:02, 1.63it/s] 92%|█████████▏| 35/38 [00:22<00:01, 1.62it/s] 95%|█████████▍| 36/38 [00:22<00:01, 1.62it/s] 97%|█████████▋| 37/38 [00:23<00:00, 1.62it/s] 100%|██████████| 38/38 [00:23<00:00, 1.62it/s] 100%|██████████| 38/38 [00:23<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.2ms Speed: 3.3ms preprocess, 9.2ms inference, 35.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:07, 2.59it/s] 10%|▉ | 2/21 [00:00<00:05, 3.63it/s] 14%|█▍ | 3/21 [00:00<00:04, 4.14it/s] 19%|█▉ | 4/21 [00:01<00:03, 4.29it/s] 24%|██▍ | 5/21 [00:01<00:03, 4.56it/s] 29%|██▊ | 6/21 [00:01<00:03, 4.75it/s] 33%|███▎ | 7/21 [00:01<00:02, 4.88it/s] 38%|███▊ | 8/21 [00:01<00:02, 4.98it/s] 43%|████▎ | 9/21 [00:01<00:02, 4.93it/s] 48%|████▊ | 10/21 [00:02<00:02, 5.00it/s] 52%|█████▏ | 11/21 [00:02<00:01, 5.06it/s] 57%|█████▋ | 12/21 [00:02<00:01, 5.09it/s] 62%|██████▏ | 13/21 [00:02<00:01, 5.12it/s] 67%|██████▋ | 14/21 [00:02<00:01, 5.00it/s] 71%|███████▏ | 15/21 [00:03<00:01, 5.06it/s] 76%|███████▌ | 16/21 [00:03<00:00, 5.10it/s] 81%|████████ | 17/21 [00:03<00:00, 5.12it/s] 86%|████████▌ | 18/21 [00:03<00:00, 5.04it/s] 90%|█████████ | 19/21 [00:03<00:00, 4.94it/s] 95%|█████████▌| 20/21 [00:04<00:00, 5.02it/s] 100%|██████████| 21/21 [00:04<00:00, 5.05it/s] 100%|██████████| 21/21 [00:04<00:00, 4.83it/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 0.43s Move latents to cpu... done in 0.22s 0: 640x640 1 face, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:03, 5.10it/s] 10%|▉ | 2/21 [00:00<00:03, 5.06it/s] 14%|█▍ | 3/21 [00:00<00:03, 5.09it/s] 19%|█▉ | 4/21 [00:00<00:03, 5.12it/s] 24%|██▍ | 5/21 [00:00<00:03, 5.11it/s] 29%|██▊ | 6/21 [00:01<00:02, 5.10it/s] 33%|███▎ | 7/21 [00:01<00:02, 4.96it/s] 38%|███▊ | 8/21 [00:01<00:02, 4.94it/s] 43%|████▎ | 9/21 [00:01<00:02, 5.01it/s] 48%|████▊ | 10/21 [00:01<00:02, 5.04it/s] 52%|█████▏ | 11/21 [00:02<00:01, 5.06it/s] 57%|█████▋ | 12/21 [00:02<00:01, 5.08it/s] 62%|██████▏ | 13/21 [00:02<00:01, 5.05it/s] 67%|██████▋ | 14/21 [00:02<00:01, 5.07it/s] 71%|███████▏ | 15/21 [00:02<00:01, 5.02it/s] 76%|███████▌ | 16/21 [00:03<00:00, 5.06it/s] 81%|████████ | 17/21 [00:03<00:00, 4.97it/s] 86%|████████▌ | 18/21 [00:03<00:00, 5.02it/s] 90%|█████████ | 19/21 [00:03<00:00, 5.05it/s] 95%|█████████▌| 20/21 [00:03<00:00, 5.05it/s] 100%|██████████| 21/21 [00:04<00:00, 5.07it/s] 100%|██████████| 21/21 [00:04<00:00, 5.05it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:04, 4.51it/s] 10%|▉ | 2/21 [00:00<00:03, 4.86it/s] 14%|█▍ | 3/21 [00:00<00:03, 4.96it/s] 19%|█▉ | 4/21 [00:00<00:03, 5.00it/s] 24%|██▍ | 5/21 [00:01<00:03, 4.99it/s] 29%|██▊ | 6/21 [00:01<00:03, 4.91it/s] 33%|███▎ | 7/21 [00:01<00:02, 4.97it/s] 38%|███▊ | 8/21 [00:01<00:02, 5.00it/s] 43%|████▎ | 9/21 [00:01<00:02, 4.93it/s] 48%|████▊ | 10/21 [00:02<00:02, 4.93it/s] 52%|█████▏ | 11/21 [00:02<00:02, 5.00it/s] 57%|█████▋ | 12/21 [00:02<00:01, 5.02it/s] 62%|██████▏ | 13/21 [00:02<00:01, 5.00it/s] 67%|██████▋ | 14/21 [00:02<00:01, 5.01it/s] 71%|███████▏ | 15/21 [00:03<00:01, 5.03it/s] 76%|███████▌ | 16/21 [00:03<00:01, 4.85it/s] 81%|████████ | 17/21 [00:03<00:00, 4.92it/s] 86%|████████▌ | 18/21 [00:03<00:00, 4.98it/s] 90%|█████████ | 19/21 [00:03<00:00, 4.99it/s] 95%|█████████▌| 20/21 [00:04<00:00, 4.97it/s] 100%|██████████| 21/21 [00:04<00:00, 4.95it/s] 100%|██████████| 21/21 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:03, 5.06it/s] 10%|▉ | 2/21 [00:00<00:03, 5.08it/s] 14%|█▍ | 3/21 [00:00<00:03, 5.09it/s] 19%|█▉ | 4/21 [00:00<00:03, 5.12it/s] 24%|██▍ | 5/21 [00:00<00:03, 5.05it/s] 29%|██▊ | 6/21 [00:01<00:02, 5.08it/s] 33%|███▎ | 7/21 [00:01<00:02, 5.02it/s] 38%|███▊ | 8/21 [00:01<00:02, 5.05it/s] 43%|████▎ | 9/21 [00:01<00:02, 5.08it/s] 48%|████▊ | 10/21 [00:01<00:02, 5.03it/s] 52%|█████▏ | 11/21 [00:02<00:01, 5.06it/s] 57%|█████▋ | 12/21 [00:02<00:01, 5.08it/s] 62%|██████▏ | 13/21 [00:02<00:01, 5.08it/s] 67%|██████▋ | 14/21 [00:02<00:01, 5.08it/s] 71%|███████▏ | 15/21 [00:02<00:01, 5.09it/s] 76%|███████▌ | 16/21 [00:03<00:00, 5.10it/s] 81%|████████ | 17/21 [00:03<00:00, 5.10it/s] 86%|████████▌ | 18/21 [00:03<00:00, 5.10it/s] 90%|█████████ | 19/21 [00:03<00:00, 5.07it/s] 95%|█████████▌| 20/21 [00:03<00:00, 4.99it/s] 100%|██████████| 21/21 [00:04<00:00, 5.03it/s] 100%|██████████| 21/21 [00:04<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.