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Red Scarlet with Vengeance Awaken
vengeance-awaken:d48049e
evevalentine2017
evevalentine2017
·
12/20/2023
335
Input
prompt
Specify things to see in the output
masterpiece, best quality, absurdres, marvel scarlet witch woman, An action-packed scene of Scarlet Witch, casting a hex, surrounded by her iconic magical energy, bright colors, dynamic lines, and bold shading, <lora:FaceBeauty_qinglong_V3:1>,
negative_prompt
Specify things to not see in the output
FastNegativeV2, (low quality:1.3), (worst quality:1.3), more than 1 person, (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, more than 2 legs, more than 2 arms
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.
3965956394
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>
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/adcde1ad1b18447797db5c40e4eade06/00000-3965956394.webp
https://files.tungsten.run/uploads/f6f0bb7172b540fcb12e147024eaa87d/00001-3965956395.webp
https://files.tungsten.run/uploads/4771118e64454038b7ac11b0a48327be/00002-3965956396.webp
https://files.tungsten.run/uploads/a2cd98eef3214dbc8d7d726ac5d39761/00003-3965956397.webp
Finished in 66.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, absurdres, marvel scarlet witch woman, An action-packed scene of Scarlet Witch, casting a hex, surrounded by her iconic magical energy, bright colors, dynamic lines, and bold shading, <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), more than 1 person, (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, more than 2 legs, more than 2 arms 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:02, 1.27s/it] 4%|▍ | 2/50 [00:01<00:44, 1.08it/s] 6%|▌ | 3/50 [00:02<00:37, 1.25it/s] 8%|▊ | 4/50 [00:03<00:34, 1.33it/s] 10%|█ | 5/50 [00:03<00:32, 1.38it/s] 12%|█▏ | 6/50 [00:04<00:31, 1.42it/s] 14%|█▍ | 7/50 [00:05<00:29, 1.44it/s] 16%|█▌ | 8/50 [00:05<00:29, 1.44it/s] 18%|█▊ | 9/50 [00:06<00:28, 1.46it/s] 20%|██ | 10/50 [00:07<00:27, 1.46it/s] 22%|██▏ | 11/50 [00:08<00:26, 1.47it/s] 24%|██▍ | 12/50 [00:08<00:25, 1.47it/s] 26%|██▌ | 13/50 [00:09<00:25, 1.47it/s] 28%|██▊ | 14/50 [00:10<00:24, 1.47it/s] 30%|███ | 15/50 [00:10<00:23, 1.47it/s] 32%|███▏ | 16/50 [00:11<00:23, 1.47it/s] 34%|███▍ | 17/50 [00:12<00:22, 1.47it/s] 36%|███▌ | 18/50 [00:12<00:21, 1.47it/s] 38%|███▊ | 19/50 [00:13<00:21, 1.47it/s] 40%|████ | 20/50 [00:14<00:20, 1.47it/s] 42%|████▏ | 21/50 [00:14<00:19, 1.47it/s] 44%|████▍ | 22/50 [00:15<00:19, 1.47it/s] 46%|████▌ | 23/50 [00:16<00:18, 1.47it/s] 48%|████▊ | 24/50 [00:16<00:17, 1.47it/s] 50%|█████ | 25/50 [00:17<00:17, 1.47it/s] 52%|█████▏ | 26/50 [00:18<00:16, 1.46it/s] 54%|█████▍ | 27/50 [00:18<00:15, 1.46it/s] 56%|█████▌ | 28/50 [00:19<00:15, 1.46it/s] 58%|█████▊ | 29/50 [00:20<00:14, 1.46it/s] 60%|██████ | 30/50 [00:20<00:13, 1.46it/s] 62%|██████▏ | 31/50 [00:21<00:13, 1.46it/s] 64%|██████▍ | 32/50 [00:22<00:12, 1.46it/s] 66%|██████▌ | 33/50 [00:23<00:11, 1.46it/s] 68%|██████▊ | 34/50 [00:23<00:10, 1.46it/s] 70%|███████ | 35/50 [00:24<00:10, 1.47it/s] 72%|███████▏ | 36/50 [00:25<00:09, 1.47it/s] 74%|███████▍ | 37/50 [00:25<00:08, 1.47it/s] 76%|███████▌ | 38/50 [00:26<00:08, 1.47it/s] 78%|███████▊ | 39/50 [00:27<00:07, 1.47it/s] 80%|████████ | 40/50 [00:27<00:06, 1.47it/s] 82%|████████▏ | 41/50 [00:28<00:06, 1.47it/s] 84%|████████▍ | 42/50 [00:29<00:05, 1.46it/s] 86%|████████▌ | 43/50 [00:29<00:04, 1.46it/s] 88%|████████▊ | 44/50 [00:30<00:04, 1.47it/s] 90%|█████████ | 45/50 [00:31<00:03, 1.47it/s] 92%|█████████▏| 46/50 [00:31<00:02, 1.47it/s] 94%|█████████▍| 47/50 [00:32<00:02, 1.47it/s] 96%|█████████▌| 48/50 [00:33<00:01, 1.47it/s] 98%|█████████▊| 49/50 [00:33<00:00, 1.47it/s] 100%|██████████| 50/50 [00:34<00:00, 1.47it/s] 100%|██████████| 50/50 [00:34<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.2ms Speed: 3.6ms preprocess, 8.2ms inference, 32.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.33it/s] 7%|▋ | 2/28 [00:00<00:05, 4.70it/s] 11%|█ | 3/28 [00:00<00:04, 5.39it/s] 14%|█▍ | 4/28 [00:00<00:04, 5.77it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.02it/s] 21%|██▏ | 6/28 [00:01<00:03, 6.06it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.09it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.16it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.24it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.33it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.38it/s] 43%|████▎ | 12/28 [00:02<00:02, 6.35it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.29it/s] 50%|█████ | 14/28 [00:02<00:02, 6.28it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.31it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.36it/s] 61%|██████ | 17/28 [00:02<00:01, 6.39it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.37it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.34it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.31it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.32it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.36it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.38it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.38it/s] 89%|████████▉ | 25/28 [00:04<00:00, 6.37it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.37it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.38it/s] 100%|██████████| 28/28 [00:04<00:00, 6.38it/s] 100%|██████████| 28/28 [00:04<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.1ms Speed: 3.0ms preprocess, 8.1ms 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, 6.82it/s] 7%|▋ | 2/28 [00:00<00:03, 6.60it/s] 11%|█ | 3/28 [00:00<00:03, 6.39it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.41it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.45it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.39it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.37it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.39it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.42it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.44it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.43it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.42it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.40it/s] 50%|█████ | 14/28 [00:02<00:02, 6.39it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.38it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.34it/s] 61%|██████ | 17/28 [00:02<00:01, 6.38it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.40it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.39it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.40it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.41it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.41it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.42it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.44it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.41it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.40it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.40it/s] 100%|██████████| 28/28 [00:04<00:00, 6.41it/s] 100%|██████████| 28/28 [00:04<00:00, 6.41it/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, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.08it/s] 7%|▋ | 2/28 [00:00<00:04, 6.29it/s] 11%|█ | 3/28 [00:00<00:03, 6.38it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.44it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.47it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.37it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.32it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.34it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.39it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.43it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.46it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.40it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.36it/s] 50%|█████ | 14/28 [00:02<00:02, 6.34it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.39it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.39it/s] 61%|██████ | 17/28 [00:02<00:01, 6.43it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.43it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.40it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.37it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.41it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.41it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.42it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.44it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.42it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.40it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.40it/s] 100%|██████████| 28/28 [00:04<00:00, 6.41it/s] 100%|██████████| 28/28 [00:04<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms 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, 6.80it/s] 7%|▋ | 2/28 [00:00<00:03, 6.63it/s] 11%|█ | 3/28 [00:00<00:03, 6.57it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.52it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.51it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.29it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.32it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.36it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.41it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.44it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.45it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.39it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.36it/s] 50%|█████ | 14/28 [00:02<00:02, 6.37it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.39it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.42it/s] 61%|██████ | 17/28 [00:02<00:01, 6.44it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.42it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.41it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.42it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.41it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.43it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.45it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.44it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.44it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.43it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.43it/s] 100%|██████████| 28/28 [00:04<00:00, 6.42it/s] 100%|██████████| 28/28 [00:04<00:00, 6.42it/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, marvel scarlet witch woman, An action-packed scene of Scarlet Witch, casting a hex, surrounded by her iconic magical energy, bright colors, dynamic lines, and bold shading, <lora:FaceBeauty_qinglong_V3:1>,
negative_prompt
Specify things to not see in the output
FastNegativeV2, (low quality:1.3), (worst quality:1.3), more than 1 person, (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, more than 2 legs, more than 2 arms
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.
3965956394
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>
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/adcde1ad1b18447797db5c40e4eade06/00000-3965956394.webp
https://files.tungsten.run/uploads/f6f0bb7172b540fcb12e147024eaa87d/00001-3965956395.webp
https://files.tungsten.run/uploads/4771118e64454038b7ac11b0a48327be/00002-3965956396.webp
https://files.tungsten.run/uploads/a2cd98eef3214dbc8d7d726ac5d39761/00003-3965956397.webp
Finished in 66.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, absurdres, marvel scarlet witch woman, An action-packed scene of Scarlet Witch, casting a hex, surrounded by her iconic magical energy, bright colors, dynamic lines, and bold shading, <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), more than 1 person, (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, more than 2 legs, more than 2 arms 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:02, 1.27s/it] 4%|▍ | 2/50 [00:01<00:44, 1.08it/s] 6%|▌ | 3/50 [00:02<00:37, 1.25it/s] 8%|▊ | 4/50 [00:03<00:34, 1.33it/s] 10%|█ | 5/50 [00:03<00:32, 1.38it/s] 12%|█▏ | 6/50 [00:04<00:31, 1.42it/s] 14%|█▍ 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done in 0.02s 0: 640x640 1 face, 8.2ms Speed: 3.6ms preprocess, 8.2ms inference, 32.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.33it/s] 7%|▋ | 2/28 [00:00<00:05, 4.70it/s] 11%|█ | 3/28 [00:00<00:04, 5.39it/s] 14%|█▍ | 4/28 [00:00<00:04, 5.77it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.02it/s] 21%|██▏ | 6/28 [00:01<00:03, 6.06it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.09it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.16it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.24it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.33it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.38it/s] 43%|████▎ | 12/28 [00:02<00:02, 6.35it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.29it/s] 50%|█████ | 14/28 [00:02<00:02, 6.28it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.31it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.36it/s] 61%|██████ | 17/28 [00:02<00:01, 6.39it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.37it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.34it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.31it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.32it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.36it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.38it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.38it/s] 89%|████████▉ | 25/28 [00:04<00:00, 6.37it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.37it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.38it/s] 100%|██████████| 28/28 [00:04<00:00, 6.38it/s] 100%|██████████| 28/28 [00:04<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.1ms Speed: 3.0ms preprocess, 8.1ms 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, 6.82it/s] 7%|▋ | 2/28 [00:00<00:03, 6.60it/s] 11%|█ | 3/28 [00:00<00:03, 6.39it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.41it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.45it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.39it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.37it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.39it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.42it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.44it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.43it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.42it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.40it/s] 50%|█████ | 14/28 [00:02<00:02, 6.39it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.38it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.34it/s] 61%|██████ | 17/28 [00:02<00:01, 6.38it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.40it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.39it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.40it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.41it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.41it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.42it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.44it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.41it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.40it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.40it/s] 100%|██████████| 28/28 [00:04<00:00, 6.41it/s] 100%|██████████| 28/28 [00:04<00:00, 6.41it/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, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.08it/s] 7%|▋ | 2/28 [00:00<00:04, 6.29it/s] 11%|█ | 3/28 [00:00<00:03, 6.38it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.44it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.47it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.37it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.32it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.34it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.39it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.43it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.46it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.40it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.36it/s] 50%|█████ | 14/28 [00:02<00:02, 6.34it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.39it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.39it/s] 61%|██████ | 17/28 [00:02<00:01, 6.43it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.43it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.40it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.37it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.41it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.41it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.42it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.44it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.42it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.40it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.40it/s] 100%|██████████| 28/28 [00:04<00:00, 6.41it/s] 100%|██████████| 28/28 [00:04<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms 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, 6.80it/s] 7%|▋ | 2/28 [00:00<00:03, 6.63it/s] 11%|█ | 3/28 [00:00<00:03, 6.57it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.52it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.51it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.29it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.32it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.36it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.41it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.44it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.45it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.39it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.36it/s] 50%|█████ | 14/28 [00:02<00:02, 6.37it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.39it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.42it/s] 61%|██████ | 17/28 [00:02<00:01, 6.44it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.42it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.41it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.42it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.41it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.43it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.45it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.44it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.44it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.43it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.43it/s] 100%|██████████| 28/28 [00:04<00:00, 6.42it/s] 100%|██████████| 28/28 [00:04<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.