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Walking in the Snow with MajicMix Lux
majicmix-lux:v3.0
evevalentine2017
evevalentine2017
·
Jan 18
329
Input
prompt
Specify things to see in the output
a girl in a long coat, bare legs, thigh boots, walking on a snowy street in the evening, street lamps,, best quality, masterpiece, highres, extremely detailed, sharp focus, cinematic lighting, vibrant colors, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, <lora:MedievalArmor_v2:0.6>
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
461224570
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 Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
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>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
spotlight.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealLife.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/f30b16971ec94b2f946ca96a760a9dd9/00000-461224570.webp
https://files.tungsten.run/uploads/a6d3d93d5f634c31b9e06e833f76d8b3/00001-461224571.webp
https://files.tungsten.run/uploads/ebc07ee695c64149855f6dec25116676/00002-461224572.webp
https://files.tungsten.run/uploads/d199f373b65f4cd98b5d9f55d0795d91/00003-461224573.webp
Finished in 104.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: a girl in a long coat, bare legs, thigh boots, walking on a snowy street in the evening, street lamps,, best quality, masterpiece, highres, extremely detailed, sharp focus, cinematic lighting, vibrant colors, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, <lora:MedievalArmor_v2:0.6>, <lora:add_brightness:0.2>, <lora:add_saturation:0.5> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 Couldn't find network with name MedievalArmor_v2 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:55, 1.90s/it] 7%|▋ | 2/30 [00:03<00:50, 1.80s/it] 10%|█ | 3/30 [00:05<00:47, 1.78s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.80s/it] 17%|█▋ | 5/30 [00:09<00:46, 1.84s/it] 20%|██ | 6/30 [00:10<00:43, 1.83s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.79s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.79s/it] 30%|███ | 9/30 [00:16<00:38, 1.81s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.81s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.80s/it] 40%|████ | 12/30 [00:21<00:32, 1.78s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.79s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.71s/it] 50%|█████ | 15/30 [00:26<00:25, 1.70s/it] 53%|█████▎ | 16/30 [00:28<00:23, 1.64s/it] 57%|█████▋ | 17/30 [00:29<00:21, 1.64s/it] 60%|██████ | 18/30 [00:31<00:19, 1.64s/it] 63%|██████▎ | 19/30 [00:33<00:18, 1.64s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.67s/it] 70%|███████ | 21/30 [00:36<00:14, 1.65s/it] 73%|███████▎ | 22/30 [00:38<00:13, 1.66s/it] 77%|███████▋ | 23/30 [00:39<00:11, 1.58s/it] 80%|████████ | 24/30 [00:40<00:09, 1.53s/it] 83%|████████▎ | 25/30 [00:42<00:07, 1.54s/it] 87%|████████▋ | 26/30 [00:44<00:06, 1.57s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.57s/it] 93%|█████████▎| 28/30 [00:47<00:03, 1.56s/it] 97%|█████████▋| 29/30 [00:48<00:01, 1.37s/it] 100%|██████████| 30/30 [00:48<00:00, 1.15s/it] 100%|██████████| 30/30 [00:48<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:05, 1.77it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.20it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.31it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.54it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.68it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.70it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.63it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.64it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.66it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.07it/s] 100%|██████████| 11/11 [00:03<00:00, 3.70it/s] 100%|██████████| 11/11 [00:03<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.46it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.58it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.54it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.74it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.84it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.81it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.73it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.73it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.73it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.12it/s] 100%|██████████| 11/11 [00:03<00:00, 3.76it/s] 100%|██████████| 11/11 [00:03<00:00, 2.99it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.8ms Speed: 2.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.45it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.57it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.55it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.75it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.79it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.73it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.68it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.69it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.73it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.13it/s] 100%|██████████| 11/11 [00:03<00:00, 3.77it/s] 100%|██████████| 11/11 [00:03<00:00, 2.98it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.45it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.57it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.54it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.73it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.84it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.82it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.73it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.74it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.76it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.16it/s] 100%|██████████| 11/11 [00:03<00:00, 3.75it/s] 100%|██████████| 11/11 [00:03<00:00, 3.00it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.42it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.57it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.52it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.71it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.80it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.78it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.71it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.72it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.71it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.10it/s] 100%|██████████| 11/11 [00:03<00:00, 3.73it/s] 100%|██████████| 11/11 [00:03<00:00, 2.97it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.46it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.54it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.52it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.71it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.81it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.80it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.71it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.72it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.73it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.13it/s] 100%|██████████| 11/11 [00:03<00:00, 3.76it/s] 100%|██████████| 11/11 [00:03<00:00, 2.98it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.1ms Speed: 3.0ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.39it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.55it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.52it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.74it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.85it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.80it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.73it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.72it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.71it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.12it/s] 100%|██████████| 11/11 [00:03<00:00, 3.76it/s] 100%|██████████| 11/11 [00:03<00:00, 2.98it/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: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.41it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.52it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.51it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.71it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.78it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.77it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.69it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.71it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.74it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.11it/s] 100%|██████████| 11/11 [00:03<00:00, 3.75it/s] 100%|██████████| 11/11 [00:03<00:00, 2.96it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.43it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.57it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.54it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.74it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.82it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.78it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.72it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.72it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.75it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.15it/s] 100%|██████████| 11/11 [00:03<00:00, 3.78it/s] 100%|██████████| 11/11 [00:03<00:00, 2.99it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.46it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.59it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.57it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.76it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.85it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.82it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.75it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.74it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.74it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.13it/s] 100%|██████████| 11/11 [00:03<00:00, 3.76it/s] 100%|██████████| 11/11 [00:03<00:00, 3.00it/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
a girl in a long coat, bare legs, thigh boots, walking on a snowy street in the evening, street lamps,, best quality, masterpiece, highres, extremely detailed, sharp focus, cinematic lighting, vibrant colors, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, <lora:MedievalArmor_v2:0.6>
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
461224570
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 Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
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>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
spotlight.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealLife.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/f30b16971ec94b2f946ca96a760a9dd9/00000-461224570.webp
https://files.tungsten.run/uploads/a6d3d93d5f634c31b9e06e833f76d8b3/00001-461224571.webp
https://files.tungsten.run/uploads/ebc07ee695c64149855f6dec25116676/00002-461224572.webp
https://files.tungsten.run/uploads/d199f373b65f4cd98b5d9f55d0795d91/00003-461224573.webp
Finished in 104.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: a girl in a long coat, bare legs, thigh boots, walking on a snowy street in the evening, street lamps,, best quality, masterpiece, highres, extremely detailed, sharp focus, cinematic lighting, vibrant colors, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, <lora:MedievalArmor_v2:0.6>, <lora:add_brightness:0.2>, <lora:add_saturation:0.5> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 Couldn't find network with name MedievalArmor_v2 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:55, 1.90s/it] 7%|▋ | 2/30 [00:03<00:50, 1.80s/it] 10%|█ | 3/30 [00:05<00:47, 1.78s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.80s/it] 17%|█▋ | 5/30 [00:09<00:46, 1.84s/it] 20%|██ | 6/30 [00:10<00:43, 1.83s/it] 23%|██▎ | 7/30 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[00:48<00:00, 1.15s/it] 100%|██████████| 30/30 [00:48<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:05, 1.77it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.20it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.31it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.54it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.68it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.70it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.63it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.64it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.66it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.07it/s] 100%|██████████| 11/11 [00:03<00:00, 3.70it/s] 100%|██████████| 11/11 [00:03<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.46it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.58it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.54it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.74it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.84it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.81it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.73it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.73it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.73it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.12it/s] 100%|██████████| 11/11 [00:03<00:00, 3.76it/s] 100%|██████████| 11/11 [00:03<00:00, 2.99it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.8ms Speed: 2.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.45it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.57it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.55it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.75it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.79it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.73it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.68it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.69it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.73it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.13it/s] 100%|██████████| 11/11 [00:03<00:00, 3.77it/s] 100%|██████████| 11/11 [00:03<00:00, 2.98it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.45it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.57it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.54it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.73it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.84it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.82it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.73it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.74it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.76it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.16it/s] 100%|██████████| 11/11 [00:03<00:00, 3.75it/s] 100%|██████████| 11/11 [00:03<00:00, 3.00it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.42it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.57it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.52it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.71it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.80it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.78it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.71it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.72it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.71it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.10it/s] 100%|██████████| 11/11 [00:03<00:00, 3.73it/s] 100%|██████████| 11/11 [00:03<00:00, 2.97it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.46it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.54it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.52it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.71it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.81it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.80it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.71it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.72it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.73it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.13it/s] 100%|██████████| 11/11 [00:03<00:00, 3.76it/s] 100%|██████████| 11/11 [00:03<00:00, 2.98it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.1ms Speed: 3.0ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.39it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.55it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.52it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.74it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.85it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.80it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.73it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.72it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.71it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.12it/s] 100%|██████████| 11/11 [00:03<00:00, 3.76it/s] 100%|██████████| 11/11 [00:03<00:00, 2.98it/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: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.41it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.52it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.51it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.71it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.78it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.77it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.69it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.71it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.74it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.11it/s] 100%|██████████| 11/11 [00:03<00:00, 3.75it/s] 100%|██████████| 11/11 [00:03<00:00, 2.96it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.43it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.57it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.54it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.74it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.82it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.78it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.72it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.72it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.75it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.15it/s] 100%|██████████| 11/11 [00:03<00:00, 3.78it/s] 100%|██████████| 11/11 [00:03<00:00, 2.99it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name MedievalArmor_v2 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.46it/s] 18%|█▊ | 2/11 [00:00<00:03, 2.59it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.57it/s] 36%|███▋ | 4/11 [00:01<00:02, 2.76it/s] 45%|████▌ | 5/11 [00:01<00:02, 2.85it/s] 55%|█████▍ | 6/11 [00:02<00:01, 2.82it/s] 64%|██████▎ | 7/11 [00:02<00:01, 2.75it/s] 73%|███████▎ | 8/11 [00:02<00:01, 2.74it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.74it/s] 91%|█████████ | 10/11 [00:03<00:00, 3.13it/s] 100%|██████████| 11/11 [00:03<00:00, 3.76it/s] 100%|██████████| 11/11 [00:03<00:00, 3.00it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.