tungsten-logo
Sign In
Valkyries with AI-OS
ai-os:v1.0
evevalentine2017
evevalentine2017
·
12/25/2023
385
Input
prompt
Specify things to see in the output
(masterpiece, best quality), (absurdres), (ultra detailed, 8K, ultra highres:1.2), 1girl with white wings, <lora:more_details:0.5>, (Ride of the Valkyries), armor, winged helmet, dynamic pose, cinematic composition, fighting stance, holding sword, battlefield, grass flower field, (knights and warriors background:1.2), fantasy, (riding white unicorn), vivid colors, volumetric light, shiny skin, glossy skin, <lora:add_detail:0.8>, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
horn on helmet, nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4), bad-hands-5
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
0.45
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
500824072
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 SDE Heun Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
ClearVAE_V2.3_fp16.pt
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
bad-hands-5.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/82b5e10c4d244476886fee3767a332b4/00000-500824072.webp
https://files.tungsten.run/uploads/747cd5b7bc4a45eeb7faeff0267a2005/00001-500824073.webp
https://files.tungsten.run/uploads/0771c19c4d284311b320920eba32367f/00002-500824074.webp
https://files.tungsten.run/uploads/98b4b6b58c2b4344a9e5591e5a124ea0/00003-500824075.webp
Finished in 129.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: (masterpiece, best quality), (absurdres), (ultra detailed, 8K, ultra highres:1.2), 1girl with white wings, <lora:more_details:0.5>, (Ride of the Valkyries), armor, winged helmet, dynamic pose, cinematic composition, fighting stance, holding sword, battlefield, grass flower field, (knights and warriors background:1.2), fantasy, (riding white unicorn), vivid colors, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_saturation:0.45> Full negative prompt: horn on helmet, nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4), bad-hands-5 Couldn't find network with name more_details 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:14, 1.92s/it] 5%|▌ | 2/40 [00:03<01:06, 1.74s/it] 8%|▊ | 3/40 [00:05<01:06, 1.80s/it] 10%|█ | 4/40 [00:07<01:06, 1.85s/it] 12%|█▎ | 5/40 [00:09<01:04, 1.83s/it] 15%|█▌ | 6/40 [00:10<01:02, 1.84s/it] 18%|█▊ | 7/40 [00:12<00:58, 1.78s/it] 20%|██ | 8/40 [00:14<00:55, 1.74s/it] 22%|██▎ | 9/40 [00:16<00:55, 1.78s/it] 25%|██▌ | 10/40 [00:17<00:53, 1.77s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.78s/it] 30%|███ | 12/40 [00:21<00:49, 1.77s/it] 32%|███▎ | 13/40 [00:23<00:47, 1.77s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.78s/it] 38%|███▊ | 15/40 [00:26<00:44, 1.78s/it] 40%|████ | 16/40 [00:28<00:41, 1.75s/it] 42%|████▎ | 17/40 [00:30<00:40, 1.76s/it] 45%|████▌ | 18/40 [00:31<00:38, 1.75s/it] 48%|████▊ | 19/40 [00:33<00:36, 1.75s/it] 50%|█████ | 20/40 [00:35<00:34, 1.73s/it] 52%|█████▎ | 21/40 [00:36<00:31, 1.67s/it] 55%|█████▌ | 22/40 [00:38<00:30, 1.68s/it] 57%|█████▊ | 23/40 [00:40<00:28, 1.69s/it] 60%|██████ | 24/40 [00:41<00:26, 1.66s/it] 62%|██████▎ | 25/40 [00:43<00:24, 1.63s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.68s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.67s/it] 70%|███████ | 28/40 [00:48<00:20, 1.68s/it] 72%|███████▎ | 29/40 [00:50<00:17, 1.60s/it] 75%|███████▌ | 30/40 [00:51<00:16, 1.60s/it] 78%|███████▊ | 31/40 [00:53<00:14, 1.61s/it] 80%|████████ | 32/40 [00:54<00:12, 1.56s/it] 82%|████████▎ | 33/40 [00:56<00:10, 1.57s/it] 85%|████████▌ | 34/40 [00:57<00:09, 1.50s/it] 88%|████████▊ | 35/40 [00:59<00:07, 1.54s/it] 90%|█████████ | 36/40 [01:00<00:05, 1.50s/it] 92%|█████████▎| 37/40 [01:02<00:04, 1.47s/it] 95%|█████████▌| 38/40 [01:03<00:02, 1.43s/it] 98%|█████████▊| 39/40 [01:04<00:01, 1.24s/it] 100%|██████████| 40/40 [01:04<00:00, 1.05s/it] 100%|██████████| 40/40 [01:04<00:00, 1.62s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 5.3ms preprocess, 7.6ms inference, 28.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.45it/s] 9%|▊ | 2/23 [00:01<00:12, 1.74it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.92it/s] 17%|█▋ | 4/23 [00:02<00:09, 2.02it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.06it/s] 26%|██▌ | 6/23 [00:03<00:08, 2.06it/s] 30%|███ | 7/23 [00:03<00:07, 2.12it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.13it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.16it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.13it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.22it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:07<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.38it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 8.4ms Speed: 3.3ms preprocess, 8.4ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.06it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.13it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.20it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.15it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.16it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.15it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.25it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.26it/s] 61%|██████ | 14/23 [00:06<00:03, 2.25it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.34it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.43it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.36it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.41it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.22it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.13it/s] 9%|▊ | 2/23 [00:00<00:09, 2.12it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.14it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.12it/s] 30%|███ | 7/23 [00:03<00:07, 2.14it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.11it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.14it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.13it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.19it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.36it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.39it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.74it/s] 100%|██████████| 23/23 [00:09<00:00, 3.16it/s] 100%|██████████| 23/23 [00:09<00:00, 2.34it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.3ms Speed: 3.2ms preprocess, 9.3ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:10, 2.04it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.09it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.17it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.18it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.17it/s] 30%|███ | 7/23 [00:03<00:07, 2.20it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.15it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.12it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.11it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.18it/s] 61%|██████ | 14/23 [00:06<00:04, 2.16it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.24it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.24it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.43it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.73it/s] 100%|██████████| 23/23 [00:09<00:00, 3.16it/s] 100%|██████████| 23/23 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.11it/s] 9%|▊ | 2/23 [00:00<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.16it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.15it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.13it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.16it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.13it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.19it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.33it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.27it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.38it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.19it/s] 100%|██████████| 23/23 [00:09<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece, best quality), (absurdres), (ultra detailed, 8K, ultra highres:1.2), 1girl with white wings, <lora:more_details:0.5>, (Ride of the Valkyries), armor, winged helmet, dynamic pose, cinematic composition, fighting stance, holding sword, battlefield, grass flower field, (knights and warriors background:1.2), fantasy, (riding white unicorn), vivid colors, volumetric light, shiny skin, glossy skin, <lora:add_detail:0.8>, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
horn on helmet, nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4), bad-hands-5
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
0.45
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
500824072
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 SDE Heun Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
ClearVAE_V2.3_fp16.pt
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
bad-hands-5.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/82b5e10c4d244476886fee3767a332b4/00000-500824072.webp
https://files.tungsten.run/uploads/747cd5b7bc4a45eeb7faeff0267a2005/00001-500824073.webp
https://files.tungsten.run/uploads/0771c19c4d284311b320920eba32367f/00002-500824074.webp
https://files.tungsten.run/uploads/98b4b6b58c2b4344a9e5591e5a124ea0/00003-500824075.webp
Finished in 129.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: (masterpiece, best quality), (absurdres), (ultra detailed, 8K, ultra highres:1.2), 1girl with white wings, <lora:more_details:0.5>, (Ride of the Valkyries), armor, winged helmet, dynamic pose, cinematic composition, fighting stance, holding sword, battlefield, grass flower field, (knights and warriors background:1.2), fantasy, (riding white unicorn), vivid colors, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_saturation:0.45> Full negative prompt: horn on helmet, nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4), bad-hands-5 Couldn't find network with name more_details 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:14, 1.92s/it] 5%|▌ | 2/40 [00:03<01:06, 1.74s/it] 8%|▊ | 3/40 [00:05<01:06, 1.80s/it] 10%|█ | 4/40 [00:07<01:06, 1.85s/it] 12%|█▎ | 5/40 [00:09<01:04, 1.83s/it] 15%|█▌ | 6/40 [00:10<01:02, 1.84s/it] 18%|█▊ | 7/40 [00:12<00:58, 1.78s/it] 20%|██ | 8/40 [00:14<00:55, 1.74s/it] 22%|██▎ | 9/40 [00:16<00:55, 1.78s/it] 25%|██▌ | 10/40 [00:17<00:53, 1.77s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.78s/it] 30%|███ | 12/40 [00:21<00:49, 1.77s/it] 32%|███▎ | 13/40 [00:23<00:47, 1.77s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.78s/it] 38%|███▊ | 15/40 [00:26<00:44, 1.78s/it] 40%|████ | 16/40 [00:28<00:41, 1.75s/it] 42%|████▎ | 17/40 [00:30<00:40, 1.76s/it] 45%|████▌ | 18/40 [00:31<00:38, 1.75s/it] 48%|████▊ | 19/40 [00:33<00:36, 1.75s/it] 50%|█████ | 20/40 [00:35<00:34, 1.73s/it] 52%|█████▎ | 21/40 [00:36<00:31, 1.67s/it] 55%|█████▌ | 22/40 [00:38<00:30, 1.68s/it] 57%|█████▊ | 23/40 [00:40<00:28, 1.69s/it] 60%|██████ | 24/40 [00:41<00:26, 1.66s/it] 62%|██████▎ | 25/40 [00:43<00:24, 1.63s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.68s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.67s/it] 70%|███████ | 28/40 [00:48<00:20, 1.68s/it] 72%|███████▎ | 29/40 [00:50<00:17, 1.60s/it] 75%|███████▌ | 30/40 [00:51<00:16, 1.60s/it] 78%|███████▊ | 31/40 [00:53<00:14, 1.61s/it] 80%|████████ | 32/40 [00:54<00:12, 1.56s/it] 82%|████████▎ | 33/40 [00:56<00:10, 1.57s/it] 85%|████████▌ | 34/40 [00:57<00:09, 1.50s/it] 88%|████████▊ | 35/40 [00:59<00:07, 1.54s/it] 90%|█████████ | 36/40 [01:00<00:05, 1.50s/it] 92%|█████████▎| 37/40 [01:02<00:04, 1.47s/it] 95%|█████████▌| 38/40 [01:03<00:02, 1.43s/it] 98%|█████████▊| 39/40 [01:04<00:01, 1.24s/it] 100%|██████████| 40/40 [01:04<00:00, 1.05s/it] 100%|██████████| 40/40 [01:04<00:00, 1.62s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 5.3ms preprocess, 7.6ms inference, 28.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.45it/s] 9%|▊ | 2/23 [00:01<00:12, 1.74it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.92it/s] 17%|█▋ | 4/23 [00:02<00:09, 2.02it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.06it/s] 26%|██▌ | 6/23 [00:03<00:08, 2.06it/s] 30%|███ | 7/23 [00:03<00:07, 2.12it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.13it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.16it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.13it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.22it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:07<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.38it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 8.4ms Speed: 3.3ms preprocess, 8.4ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.06it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.13it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.20it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.15it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.16it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.15it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.25it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.26it/s] 61%|██████ | 14/23 [00:06<00:03, 2.25it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.34it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.43it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.36it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.41it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.22it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.13it/s] 9%|▊ | 2/23 [00:00<00:09, 2.12it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.14it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.12it/s] 30%|███ | 7/23 [00:03<00:07, 2.14it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.11it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.14it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.13it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.19it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.36it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.39it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.74it/s] 100%|██████████| 23/23 [00:09<00:00, 3.16it/s] 100%|██████████| 23/23 [00:09<00:00, 2.34it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.3ms Speed: 3.2ms preprocess, 9.3ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:10, 2.04it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.09it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.17it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.18it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.17it/s] 30%|███ | 7/23 [00:03<00:07, 2.20it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.15it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.12it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.11it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.18it/s] 61%|██████ | 14/23 [00:06<00:04, 2.16it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.24it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.24it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.43it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.73it/s] 100%|██████████| 23/23 [00:09<00:00, 3.16it/s] 100%|██████████| 23/23 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.11it/s] 9%|▊ | 2/23 [00:00<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.16it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.15it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.13it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.16it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.13it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.19it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.33it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.27it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.38it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.19it/s] 100%|██████████| 23/23 [00:09<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.