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Cybergirls with Animatrix
animatrix:v2.0
evevalentine2017
evevalentine2017
·
12/21/2023
346
Input
prompt
Specify things to see in the output
<lora: cyberhanfu_v1:0.8>, cyberhanfu, cheongsam, Chinese clothes, neon, 1 girl, Chinese clothes, in white and pink, cyberpunk city, dynamic pose, headdress, hair ornament, cyberpunk, a high-tech city, full of machinery and futuristic elements, futurism, technology, outdoors, standing, short hair, portrait,
negative_prompt
Specify things to not see in the output
(worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((NegfeetV2))
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
468604811
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
38
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
cyberhanfu_v1.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)
NegfeetV2.pt
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/aa6f5b6258854944a21f3d4fa97392d6/00000-468604811.webp
https://files.tungsten.run/uploads/13e75475d11648c89684f1ba81e7ccb8/00001-468604812.webp
https://files.tungsten.run/uploads/ee8e77682fcf4b2a97c12f95fa8442b8/00002-468604813.webp
https://files.tungsten.run/uploads/ca4af1c2ce4143cb8d5ffa6cd1529141/00003-468604814.webp
Finished in 53.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: <lora: cyberhanfu_v1:0.8>, cyberhanfu, cheongsam, Chinese clothes, neon, 1 girl, Chinese clothes, in white and pink, cyberpunk city, dynamic pose, headdress, hair ornament, cyberpunk, a high-tech city, full of machinery and futuristic elements, futurism, technology, outdoors, standing, short hair, portrait, Full negative prompt: (worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((NegfeetV2)) Couldn't find network with name cyberhanfu_v1 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:00<00:24, 1.51it/s] 5%|▌ | 2/38 [00:01<00:24, 1.47it/s] 8%|▊ | 3/38 [00:02<00:23, 1.47it/s] 11%|█ | 4/38 [00:02<00:23, 1.47it/s] 13%|█▎ | 5/38 [00:03<00:22, 1.46it/s] 16%|█▌ | 6/38 [00:04<00:21, 1.46it/s] 18%|█▊ | 7/38 [00:04<00:21, 1.46it/s] 21%|██ | 8/38 [00:05<00:20, 1.46it/s] 24%|██▎ | 9/38 [00:06<00:19, 1.45it/s] 26%|██▋ | 10/38 [00:06<00:19, 1.45it/s] 29%|██▉ | 11/38 [00:07<00:18, 1.45it/s] 32%|███▏ | 12/38 [00:08<00:17, 1.45it/s] 34%|███▍ | 13/38 [00:08<00:17, 1.45it/s] 37%|███▋ | 14/38 [00:09<00:16, 1.45it/s] 39%|███▉ | 15/38 [00:10<00:15, 1.44it/s] 42%|████▏ | 16/38 [00:11<00:15, 1.44it/s] 45%|████▍ | 17/38 [00:11<00:14, 1.45it/s] 47%|████▋ | 18/38 [00:12<00:13, 1.44it/s] 50%|█████ | 19/38 [00:13<00:13, 1.44it/s] 53%|█████▎ | 20/38 [00:13<00:12, 1.43it/s] 55%|█████▌ | 21/38 [00:14<00:11, 1.43it/s] 58%|█████▊ | 22/38 [00:15<00:11, 1.43it/s] 61%|██████ | 23/38 [00:15<00:10, 1.43it/s] 63%|██████▎ | 24/38 [00:16<00:09, 1.43it/s] 66%|██████▌ | 25/38 [00:17<00:09, 1.43it/s] 68%|██████▊ | 26/38 [00:18<00:08, 1.43it/s] 71%|███████ | 27/38 [00:18<00:07, 1.43it/s] 74%|███████▎ | 28/38 [00:19<00:06, 1.43it/s] 76%|███████▋ | 29/38 [00:20<00:06, 1.43it/s] 79%|███████▉ | 30/38 [00:20<00:05, 1.43it/s] 82%|████████▏ | 31/38 [00:21<00:04, 1.43it/s] 84%|████████▍ | 32/38 [00:22<00:04, 1.43it/s] 87%|████████▋ | 33/38 [00:22<00:03, 1.43it/s] 89%|████████▉ | 34/38 [00:23<00:02, 1.43it/s] 92%|█████████▏| 35/38 [00:24<00:02, 1.42it/s] 95%|█████████▍| 36/38 [00:25<00:01, 1.42it/s] 97%|█████████▋| 37/38 [00:25<00:00, 1.42it/s] 100%|██████████| 38/38 [00:26<00:00, 1.42it/s] 100%|██████████| 38/38 [00:26<00:00, 1.44it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 4.2ms preprocess, 7.8ms inference, 39.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name cyberhanfu_v1 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:05, 3.50it/s] 10%|▉ | 2/21 [00:00<00:03, 4.78it/s] 14%|█▍ | 3/21 [00:00<00:03, 5.41it/s] 19%|█▉ | 4/21 [00:00<00:02, 5.67it/s] 24%|██▍ | 5/21 [00:00<00:02, 5.94it/s] 29%|██▊ | 6/21 [00:01<00:02, 6.00it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.03it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.09it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.10it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.20it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.29it/s] 57%|█████▋ | 12/21 [00:02<00:01, 6.28it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.20it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.20it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.18it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.25it/s] 81%|████████ | 17/21 [00:02<00:00, 6.31it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.32it/s] 90%|█████████ | 19/21 [00:03<00:00, 6.26it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.28it/s] 100%|██████████| 21/21 [00:03<00:00, 6.24it/s] 100%|██████████| 21/21 [00:03<00:00, 6.04it/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: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name cyberhanfu_v1 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.86it/s] 10%|▉ | 2/21 [00:00<00:02, 6.64it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.42it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.36it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.38it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.26it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.18it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.20it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.21it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.30it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.30it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.24it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.20it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.21it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.24it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.30it/s] 81%|████████ | 17/21 [00:02<00:00, 6.31it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.26it/s] 90%|█████████ | 19/21 [00:03<00:00, 6.22it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.19it/s] 100%|██████████| 21/21 [00:03<00:00, 6.21it/s] 100%|██████████| 21/21 [00:03<00:00, 6.27it/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: 3.0ms preprocess, 7.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name cyberhanfu_v1 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.80it/s] 10%|▉ | 2/21 [00:00<00:02, 6.60it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.54it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.51it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.48it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.33it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.24it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.27it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.29it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.34it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.36it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.31it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.22it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.23it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.26it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.32it/s] 81%|████████ | 17/21 [00:02<00:00, 6.35it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.33it/s] 90%|█████████ | 19/21 [00:03<00:00, 6.28it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.20it/s] 100%|██████████| 21/21 [00:03<00:00, 6.21it/s] 100%|██████████| 21/21 [00:03<00:00, 6.31it/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: 3.0ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name cyberhanfu_v1 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.83it/s] 10%|▉ | 2/21 [00:00<00:02, 6.62it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.45it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.47it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.47it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.33it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.22it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.21it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.30it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.34it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.39it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.37it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.29it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.19it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.22it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.30it/s] 81%|████████ | 17/21 [00:02<00:00, 6.35it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.34it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.32it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.27it/s] 100%|██████████| 21/21 [00:03<00:00, 6.28it/s] 100%|██████████| 21/21 [00:03<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
<lora: cyberhanfu_v1:0.8>, cyberhanfu, cheongsam, Chinese clothes, neon, 1 girl, Chinese clothes, in white and pink, cyberpunk city, dynamic pose, headdress, hair ornament, cyberpunk, a high-tech city, full of machinery and futuristic elements, futurism, technology, outdoors, standing, short hair, portrait,
negative_prompt
Specify things to not see in the output
(worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((NegfeetV2))
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
468604811
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
38
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
cyberhanfu_v1.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)
NegfeetV2.pt
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/aa6f5b6258854944a21f3d4fa97392d6/00000-468604811.webp
https://files.tungsten.run/uploads/13e75475d11648c89684f1ba81e7ccb8/00001-468604812.webp
https://files.tungsten.run/uploads/ee8e77682fcf4b2a97c12f95fa8442b8/00002-468604813.webp
https://files.tungsten.run/uploads/ca4af1c2ce4143cb8d5ffa6cd1529141/00003-468604814.webp
Finished in 53.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: <lora: cyberhanfu_v1:0.8>, cyberhanfu, cheongsam, Chinese clothes, neon, 1 girl, Chinese clothes, in white and pink, cyberpunk city, dynamic pose, headdress, hair ornament, cyberpunk, a high-tech city, full of machinery and futuristic elements, futurism, technology, outdoors, standing, short hair, portrait, Full negative prompt: (worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((NegfeetV2)) Couldn't find network with name cyberhanfu_v1 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:00<00:24, 1.51it/s] 5%|▌ | 2/38 [00:01<00:24, 1.47it/s] 8%|▊ | 3/38 [00:02<00:23, 1.47it/s] 11%|█ | 4/38 [00:02<00:23, 1.47it/s] 13%|█▎ | 5/38 [00:03<00:22, 1.46it/s] 16%|█▌ | 6/38 [00:04<00:21, 1.46it/s] 18%|█▊ | 7/38 [00:04<00:21, 1.46it/s] 21%|██ | 8/38 [00:05<00:20, 1.46it/s] 24%|██▎ | 9/38 [00:06<00:19, 1.45it/s] 26%|██▋ | 10/38 [00:06<00:19, 1.45it/s] 29%|██▉ | 11/38 [00:07<00:18, 1.45it/s] 32%|███▏ | 12/38 [00:08<00:17, 1.45it/s] 34%|███▍ | 13/38 [00:08<00:17, 1.45it/s] 37%|███▋ | 14/38 [00:09<00:16, 1.45it/s] 39%|███▉ | 15/38 [00:10<00:15, 1.44it/s] 42%|████▏ | 16/38 [00:11<00:15, 1.44it/s] 45%|████▍ | 17/38 [00:11<00:14, 1.45it/s] 47%|████▋ | 18/38 [00:12<00:13, 1.44it/s] 50%|█████ | 19/38 [00:13<00:13, 1.44it/s] 53%|█████▎ | 20/38 [00:13<00:12, 1.43it/s] 55%|█████▌ | 21/38 [00:14<00:11, 1.43it/s] 58%|█████▊ | 22/38 [00:15<00:11, 1.43it/s] 61%|██████ | 23/38 [00:15<00:10, 1.43it/s] 63%|██████▎ | 24/38 [00:16<00:09, 1.43it/s] 66%|██████▌ | 25/38 [00:17<00:09, 1.43it/s] 68%|██████▊ | 26/38 [00:18<00:08, 1.43it/s] 71%|███████ | 27/38 [00:18<00:07, 1.43it/s] 74%|███████▎ | 28/38 [00:19<00:06, 1.43it/s] 76%|███████▋ | 29/38 [00:20<00:06, 1.43it/s] 79%|███████▉ | 30/38 [00:20<00:05, 1.43it/s] 82%|████████▏ | 31/38 [00:21<00:04, 1.43it/s] 84%|████████▍ | 32/38 [00:22<00:04, 1.43it/s] 87%|████████▋ | 33/38 [00:22<00:03, 1.43it/s] 89%|████████▉ | 34/38 [00:23<00:02, 1.43it/s] 92%|█████████▏| 35/38 [00:24<00:02, 1.42it/s] 95%|█████████▍| 36/38 [00:25<00:01, 1.42it/s] 97%|█████████▋| 37/38 [00:25<00:00, 1.42it/s] 100%|██████████| 38/38 [00:26<00:00, 1.42it/s] 100%|██████████| 38/38 [00:26<00:00, 1.44it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 4.2ms preprocess, 7.8ms inference, 39.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name cyberhanfu_v1 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:05, 3.50it/s] 10%|▉ | 2/21 [00:00<00:03, 4.78it/s] 14%|█▍ | 3/21 [00:00<00:03, 5.41it/s] 19%|█▉ | 4/21 [00:00<00:02, 5.67it/s] 24%|██▍ | 5/21 [00:00<00:02, 5.94it/s] 29%|██▊ | 6/21 [00:01<00:02, 6.00it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.03it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.09it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.10it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.20it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.29it/s] 57%|█████▋ | 12/21 [00:02<00:01, 6.28it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.20it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.20it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.18it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.25it/s] 81%|████████ | 17/21 [00:02<00:00, 6.31it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.32it/s] 90%|█████████ | 19/21 [00:03<00:00, 6.26it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.28it/s] 100%|██████████| 21/21 [00:03<00:00, 6.24it/s] 100%|██████████| 21/21 [00:03<00:00, 6.04it/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: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name cyberhanfu_v1 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.86it/s] 10%|▉ | 2/21 [00:00<00:02, 6.64it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.42it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.36it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.38it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.26it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.18it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.20it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.21it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.30it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.30it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.24it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.20it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.21it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.24it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.30it/s] 81%|████████ | 17/21 [00:02<00:00, 6.31it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.26it/s] 90%|█████████ | 19/21 [00:03<00:00, 6.22it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.19it/s] 100%|██████████| 21/21 [00:03<00:00, 6.21it/s] 100%|██████████| 21/21 [00:03<00:00, 6.27it/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: 3.0ms preprocess, 7.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name cyberhanfu_v1 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.80it/s] 10%|▉ | 2/21 [00:00<00:02, 6.60it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.54it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.51it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.48it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.33it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.24it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.27it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.29it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.34it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.36it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.31it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.22it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.23it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.26it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.32it/s] 81%|████████ | 17/21 [00:02<00:00, 6.35it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.33it/s] 90%|█████████ | 19/21 [00:03<00:00, 6.28it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.20it/s] 100%|██████████| 21/21 [00:03<00:00, 6.21it/s] 100%|██████████| 21/21 [00:03<00:00, 6.31it/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: 3.0ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name cyberhanfu_v1 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.83it/s] 10%|▉ | 2/21 [00:00<00:02, 6.62it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.45it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.47it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.47it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.33it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.22it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.21it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.30it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.34it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.39it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.37it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.29it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.19it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.22it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.30it/s] 81%|████████ | 17/21 [00:02<00:00, 6.35it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.34it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.32it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.27it/s] 100%|██████████| 21/21 [00:03<00:00, 6.28it/s] 100%|██████████| 21/21 [00:03<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.