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Jedi Girl with Vengeance Awaken
vengeance-awaken:d48049e
evevalentine2017
evevalentine2017
·
12/20/2023
367
Input
prompt
Specify things to see in the output
masterpiece, best quality, absurdres, woman in jedioutfit is crossing a wooden bridge, <lora:jedioutfit:1>, <lora:FaceBeauty_qinglong_V3:1>,
negative_prompt
Specify things to not see in the output
FastNegativeV2, (low quality:1.3), (worst quality:1.3), (monochrome:0.8), (deformed:1.3), (malformed hands:1.4), (poorly drawn hands:1.4), (mutated fingers:1.4), (bad anatomy:1.3), (extra limbs:1.35), (poorly drawn face:1.4), (watermark:1.3), ugly, watermark, jpeg artifacts, error, text, username,
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
0.5
contrast
Adjust contrast
0
saturation
Adjust saturation
1.25
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3503143955
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
50
cfg_scale
Scale for classifier-free guidance
7
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
jedioutfit.safetensors
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)
FastNegativeV2.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/e1a6145dcfff46bab294600574c81d68/00000-3503143955.webp
https://files.tungsten.run/uploads/a1ecf8df86274ce99d213c69ea0a9c76/00001-3503143956.webp
https://files.tungsten.run/uploads/eeedbac5a2374a34bdbcc4312fd4f027/00002-3503143957.webp
https://files.tungsten.run/uploads/9db0334c9cab49e589d1fee75dea271e/00003-3503143958.webp
Finished in 69.3 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, absurdres, woman in jedioutfit is crossing a wooden bridge, <lora:jedioutfit:1>, <lora:FaceBeauty_qinglong_V3:1>, , <lora:add_brightness:0.5>, <lora:add_saturation:1.25> Full negative prompt: FastNegativeV2, (low quality:1.3), (worst quality:1.3), (monochrome:0.8), (deformed:1.3), (malformed hands:1.4), (poorly drawn hands:1.4), (mutated fingers:1.4), (bad anatomy:1.3), (extra limbs:1.35), (poorly drawn face:1.4), (watermark:1.3), ugly, watermark, jpeg artifacts, error, text, username, 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:06, 1.35s/it] 4%|▍ | 2/50 [00:02<00:45, 1.04it/s] 6%|▌ | 3/50 [00:02<00:38, 1.21it/s] 8%|▊ | 4/50 [00:03<00:35, 1.30it/s] 10%|█ | 5/50 [00:04<00:33, 1.36it/s] 12%|█▏ | 6/50 [00:04<00:31, 1.40it/s] 14%|█▍ | 7/50 [00:05<00:30, 1.42it/s] 16%|█▌ | 8/50 [00:06<00:29, 1.43it/s] 18%|█▊ | 9/50 [00:06<00:28, 1.45it/s] 20%|██ | 10/50 [00:07<00:27, 1.45it/s] 22%|██▏ | 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70%|███████ | 35/50 [00:24<00:10, 1.45it/s] 72%|███████▏ | 36/50 [00:25<00:09, 1.45it/s] 74%|███████▍ | 37/50 [00:26<00:08, 1.45it/s] 76%|███████▌ | 38/50 [00:26<00:08, 1.45it/s] 78%|███████▊ | 39/50 [00:27<00:07, 1.45it/s] 80%|████████ | 40/50 [00:28<00:06, 1.45it/s] 82%|████████▏ | 41/50 [00:28<00:06, 1.45it/s] 84%|████████▍ | 42/50 [00:29<00:05, 1.45it/s] 86%|████████▌ | 43/50 [00:30<00:04, 1.45it/s] 88%|████████▊ | 44/50 [00:30<00:04, 1.46it/s] 90%|█████████ | 45/50 [00:31<00:03, 1.45it/s] 92%|█████████▏| 46/50 [00:32<00:02, 1.46it/s] 94%|█████████▍| 47/50 [00:32<00:02, 1.46it/s] 96%|█████████▌| 48/50 [00:33<00:01, 1.45it/s] 98%|█████████▊| 49/50 [00:34<00:00, 1.46it/s] 100%|██████████| 50/50 [00:34<00:00, 1.45it/s] 100%|██████████| 50/50 [00:34<00:00, 1.43it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.1ms Speed: 5.1ms preprocess, 8.1ms inference, 32.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.31it/s] 7%|▋ | 2/28 [00:00<00:05, 4.70it/s] 11%|█ | 3/28 [00:00<00:04, 5.40it/s] 14%|█▍ | 4/28 [00:00<00:04, 5.77it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.01it/s] 21%|██▏ | 6/28 [00:01<00:03, 6.04it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.04it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.11it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.23it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.32it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.38it/s] 43%|████▎ | 12/28 [00:02<00:02, 6.29it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.25it/s] 50%|█████ | 14/28 [00:02<00:02, 6.25it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.20it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.28it/s] 61%|██████ | 17/28 [00:02<00:01, 6.33it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.29it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.24it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.23it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.28it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.30it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.32it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.35it/s] 89%|████████▉ | 25/28 [00:04<00:00, 6.34it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.25it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.15it/s] 100%|██████████| 28/28 [00:04<00:00, 6.24it/s] 100%|██████████| 28/28 [00:04<00:00, 6.11it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:03, 6.91it/s] 7%|▋ | 2/28 [00:00<00:03, 6.68it/s] 11%|█ | 3/28 [00:00<00:03, 6.61it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.58it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.56it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.41it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.31it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.30it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.34it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.36it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.41it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.40it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.35it/s] 50%|█████ | 14/28 [00:02<00:02, 6.32it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.34it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.36it/s] 61%|██████ | 17/28 [00:02<00:01, 6.36it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.36it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.33it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.29it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.32it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.35it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.38it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.37it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.33it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.27it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.29it/s] 100%|██████████| 28/28 [00:04<00:00, 6.31it/s] 100%|██████████| 28/28 [00:04<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, 7.7ms Speed: 4.1ms preprocess, 7.7ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:03, 6.88it/s] 7%|▋ | 2/28 [00:00<00:03, 6.67it/s] 11%|█ | 3/28 [00:00<00:03, 6.60it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.56it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.54it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.42it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.32it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.29it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.34it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.40it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.41it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.37it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.29it/s] 50%|█████ | 14/28 [00:02<00:02, 6.26it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.29it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.33it/s] 61%|██████ | 17/28 [00:02<00:01, 6.37it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.35it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.33it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.31it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.33it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.35it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.35it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.25it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.23it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.23it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.26it/s] 100%|██████████| 28/28 [00:04<00:00, 6.29it/s] 100%|██████████| 28/28 [00:04<00:00, 6.35it/s] Decoding latents in cuda:0... done in 0.26s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:03, 6.83it/s] 7%|▋ | 2/28 [00:00<00:03, 6.66it/s] 11%|█ | 3/28 [00:00<00:03, 6.58it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.55it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.52it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.37it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.27it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.14it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.26it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.30it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.35it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.31it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.27it/s] 50%|█████ | 14/28 [00:02<00:02, 6.25it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.30it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.36it/s] 61%|██████ | 17/28 [00:02<00:01, 6.38it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.34it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.28it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.25it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.22it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.27it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.31it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.29it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.24it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.23it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.24it/s] 100%|██████████| 28/28 [00:04<00:00, 6.26it/s] 100%|██████████| 28/28 [00:04<00:00, 6.31it/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
masterpiece, best quality, absurdres, woman in jedioutfit is crossing a wooden bridge, <lora:jedioutfit:1>, <lora:FaceBeauty_qinglong_V3:1>,
negative_prompt
Specify things to not see in the output
FastNegativeV2, (low quality:1.3), (worst quality:1.3), (monochrome:0.8), (deformed:1.3), (malformed hands:1.4), (poorly drawn hands:1.4), (mutated fingers:1.4), (bad anatomy:1.3), (extra limbs:1.35), (poorly drawn face:1.4), (watermark:1.3), ugly, watermark, jpeg artifacts, error, text, username,
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
0.5
contrast
Adjust contrast
0
saturation
Adjust saturation
1.25
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3503143955
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
50
cfg_scale
Scale for classifier-free guidance
7
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
jedioutfit.safetensors
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)
FastNegativeV2.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/e1a6145dcfff46bab294600574c81d68/00000-3503143955.webp
https://files.tungsten.run/uploads/a1ecf8df86274ce99d213c69ea0a9c76/00001-3503143956.webp
https://files.tungsten.run/uploads/eeedbac5a2374a34bdbcc4312fd4f027/00002-3503143957.webp
https://files.tungsten.run/uploads/9db0334c9cab49e589d1fee75dea271e/00003-3503143958.webp
Finished in 69.3 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, absurdres, woman in jedioutfit is crossing a wooden bridge, <lora:jedioutfit:1>, <lora:FaceBeauty_qinglong_V3:1>, , <lora:add_brightness:0.5>, <lora:add_saturation:1.25> Full negative prompt: FastNegativeV2, (low quality:1.3), (worst quality:1.3), (monochrome:0.8), (deformed:1.3), (malformed hands:1.4), (poorly drawn hands:1.4), (mutated fingers:1.4), (bad anatomy:1.3), (extra limbs:1.35), (poorly drawn face:1.4), (watermark:1.3), ugly, watermark, jpeg artifacts, error, text, username, 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:06, 1.35s/it] 4%|▍ | 2/50 [00:02<00:45, 1.04it/s] 6%|▌ | 3/50 [00:02<00:38, 1.21it/s] 8%|▊ | 4/50 [00:03<00:35, 1.30it/s] 10%|█ | 5/50 [00:04<00:33, 1.36it/s] 12%|█▏ | 6/50 [00:04<00:31, 1.40it/s] 14%|█▍ | 7/50 [00:05<00:30, 1.42it/s] 16%|█▌ | 8/50 [00:06<00:29, 1.43it/s] 18%|█▊ | 9/50 [00:06<00:28, 1.45it/s] 20%|██ | 10/50 [00:07<00:27, 1.45it/s] 22%|██▏ | 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70%|███████ | 35/50 [00:24<00:10, 1.45it/s] 72%|███████▏ | 36/50 [00:25<00:09, 1.45it/s] 74%|███████▍ | 37/50 [00:26<00:08, 1.45it/s] 76%|███████▌ | 38/50 [00:26<00:08, 1.45it/s] 78%|███████▊ | 39/50 [00:27<00:07, 1.45it/s] 80%|████████ | 40/50 [00:28<00:06, 1.45it/s] 82%|████████▏ | 41/50 [00:28<00:06, 1.45it/s] 84%|████████▍ | 42/50 [00:29<00:05, 1.45it/s] 86%|████████▌ | 43/50 [00:30<00:04, 1.45it/s] 88%|████████▊ | 44/50 [00:30<00:04, 1.46it/s] 90%|█████████ | 45/50 [00:31<00:03, 1.45it/s] 92%|█████████▏| 46/50 [00:32<00:02, 1.46it/s] 94%|█████████▍| 47/50 [00:32<00:02, 1.46it/s] 96%|█████████▌| 48/50 [00:33<00:01, 1.45it/s] 98%|█████████▊| 49/50 [00:34<00:00, 1.46it/s] 100%|██████████| 50/50 [00:34<00:00, 1.45it/s] 100%|██████████| 50/50 [00:34<00:00, 1.43it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.1ms Speed: 5.1ms preprocess, 8.1ms inference, 32.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, 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89%|████████▉ | 25/28 [00:04<00:00, 6.34it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.25it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.15it/s] 100%|██████████| 28/28 [00:04<00:00, 6.24it/s] 100%|██████████| 28/28 [00:04<00:00, 6.11it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:03, 6.91it/s] 7%|▋ | 2/28 [00:00<00:03, 6.68it/s] 11%|█ | 3/28 [00:00<00:03, 6.61it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.58it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.56it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.41it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.31it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.30it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.34it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.36it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.41it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.40it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.35it/s] 50%|█████ | 14/28 [00:02<00:02, 6.32it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.34it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.36it/s] 61%|██████ | 17/28 [00:02<00:01, 6.36it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.36it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.33it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.29it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.32it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.35it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.38it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.37it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.33it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.27it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.29it/s] 100%|██████████| 28/28 [00:04<00:00, 6.31it/s] 100%|██████████| 28/28 [00:04<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, 7.7ms Speed: 4.1ms preprocess, 7.7ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:03, 6.88it/s] 7%|▋ | 2/28 [00:00<00:03, 6.67it/s] 11%|█ | 3/28 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96%|█████████▋| 27/28 [00:04<00:00, 6.26it/s] 100%|██████████| 28/28 [00:04<00:00, 6.29it/s] 100%|██████████| 28/28 [00:04<00:00, 6.35it/s] Decoding latents in cuda:0... done in 0.26s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:03, 6.83it/s] 7%|▋ | 2/28 [00:00<00:03, 6.66it/s] 11%|█ | 3/28 [00:00<00:03, 6.58it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.55it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.52it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.37it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.27it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.14it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.26it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.30it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.35it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.31it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.27it/s] 50%|█████ | 14/28 [00:02<00:02, 6.25it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.30it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.36it/s] 61%|██████ | 17/28 [00:02<00:01, 6.38it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.34it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.28it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.25it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.22it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.27it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.31it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.29it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.24it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.23it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.24it/s] 100%|██████████| 28/28 [00:04<00:00, 6.26it/s] 100%|██████████| 28/28 [00:04<00:00, 6.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.