Medieval Armor with 3dReal 3dRealistic
Input
prompt
Specify things to see in the output
a photo, warrior in armor, woman, hair brown, fantasy dress, realistic, hd, beautiful dress blue, realistic, holding a medieval sword, half body shot, sharp focus, 8 k high definition, insanely detailed, sunset, medieval battlefield background, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2440091730
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
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>
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)
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
Finished in 199.7 seconds
v1.0: Pulling from evevalentine2017/3dreal-3drealistic
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
235071021718: Already exists
9067d088c5b1: Pull complete
820d824b4a70: Pull complete
8be7dc75b134: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: a photo, warrior in armor, woman, hair brown, fantasy dress, realistic, hd, beautiful dress blue, realistic, holding a medieval sword, half body shot, sharp focus, 8 k high definition, insanely detailed, sunset, medieval battlefield background, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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0: 640x640 1 face, 7.8ms
Speed: 3.3ms preprocess, 7.8ms inference, 24.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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A tensor with all NaNs was produced in VAE.
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0: 640x640 2 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 (no detections), 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Finished.
prompt
Specify things to see in the output
a photo, warrior in armor, woman, hair brown, fantasy dress, realistic, hd, beautiful dress blue, realistic, holding a medieval sword, half body shot, sharp focus, 8 k high definition, insanely detailed, sunset, medieval battlefield background, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2440091730
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
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>
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)
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
Finished in 199.7 seconds
v1.0: Pulling from evevalentine2017/3dreal-3drealistic
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
235071021718: Already exists
9067d088c5b1: Pull complete
820d824b4a70: Pull complete
8be7dc75b134: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: a photo, warrior in armor, woman, hair brown, fantasy dress, realistic, hd, beautiful dress blue, realistic, holding a medieval sword, half body shot, sharp focus, 8 k high definition, insanely detailed, sunset, medieval battlefield background, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 3.3ms preprocess, 7.8ms inference, 24.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 28/28 [00:09<00:00, 4.10it/s]
100%|██████████| 28/28 [00:09<00:00, 2.81it/s]
Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.43s
Move latents to cpu...
done in 0.22s
0: 640x640 2 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 12/28 [00:04<00:06, 2.65it/s]
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61%|██████ | 17/28 [00:06<00:03, 2.81it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.10it/s]
100%|██████████| 28/28 [00:09<00:00, 2.84it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
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29%|██▊ | 8/28 [00:03<00:08, 2.43it/s]
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36%|███▌ | 10/28 [00:03<00:06, 2.62it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.58it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.63it/s]
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50%|█████ | 14/28 [00:05<00:05, 2.78it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.89it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.92it/s]
61%|██████ | 17/28 [00:06<00:03, 2.79it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.81it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.68it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.76it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.08it/s]
100%|██████████| 28/28 [00:09<00:00, 2.84it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
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7%|▋ | 2/28 [00:00<00:10, 2.44it/s]
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21%|██▏ | 6/28 [00:02<00:08, 2.54it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.51it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.41it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.53it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.61it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.58it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.64it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.62it/s]
50%|█████ | 14/28 [00:05<00:05, 2.76it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.86it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.90it/s]
61%|██████ | 17/28 [00:06<00:03, 2.77it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.79it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.65it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.73it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.78it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.69it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.73it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.84it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.96it/s]
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96%|█████████▋| 27/28 [00:09<00:00, 3.41it/s]
100%|██████████| 28/28 [00:09<00:00, 4.02it/s]
100%|██████████| 28/28 [00:09<00:00, 2.82it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.7ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
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61%|██████ | 17/28 [00:06<00:03, 2.83it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.85it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.72it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.79it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.84it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.74it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.79it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.89it/s]
89%|████████▉ | 25/28 [00:09<00:00, 3.01it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.10it/s]
100%|██████████| 28/28 [00:09<00:00, 2.87it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 2.9ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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29%|██▊ | 8/28 [00:03<00:08, 2.41it/s]
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36%|███▌ | 10/28 [00:03<00:06, 2.59it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.54it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.60it/s]
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50%|█████ | 14/28 [00:05<00:05, 2.75it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.86it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.90it/s]
61%|██████ | 17/28 [00:06<00:03, 2.77it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.81it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.66it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.74it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.79it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.70it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.75it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.85it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.03it/s]
100%|██████████| 28/28 [00:09<00:00, 2.82it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0%| | 0/28 [00:00<?, ?it/s]
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21%|██▏ | 6/28 [00:02<00:08, 2.47it/s]
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29%|██▊ | 8/28 [00:03<00:08, 2.39it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.51it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.60it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.57it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.64it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.64it/s]
50%|█████ | 14/28 [00:05<00:05, 2.79it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.89it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.93it/s]
61%|██████ | 17/28 [00:06<00:03, 2.76it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.78it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.65it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.74it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.79it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.70it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.75it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.84it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.96it/s]
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96%|█████████▋| 27/28 [00:09<00:00, 3.43it/s]
100%|██████████| 28/28 [00:09<00:00, 4.03it/s]
100%|██████████| 28/28 [00:09<00:00, 2.82it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 10.1ms
Speed: 3.0ms preprocess, 10.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
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11%|█ | 3/28 [00:01<00:09, 2.53it/s]
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21%|██▏ | 6/28 [00:02<00:08, 2.53it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.54it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.44it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.56it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.63it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.60it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.65it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.66it/s]
50%|█████ | 14/28 [00:05<00:05, 2.80it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.91it/s]
57%|█████▋ | 16/28 [00:05<00:04, 2.95it/s]
61%|██████ | 17/28 [00:06<00:03, 2.82it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.84it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.69it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.77it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.82it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.73it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.77it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.87it/s]
89%|████████▉ | 25/28 [00:09<00:00, 3.00it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.10it/s]
100%|██████████| 28/28 [00:09<00:00, 2.85it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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29%|██▊ | 8/28 [00:03<00:08, 2.45it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.57it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.65it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.60it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.67it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.67it/s]
50%|█████ | 14/28 [00:05<00:04, 2.81it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.90it/s]
57%|█████▋ | 16/28 [00:05<00:04, 2.95it/s]
61%|██████ | 17/28 [00:06<00:03, 2.81it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.84it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.71it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.79it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.82it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.74it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.78it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.89it/s]
89%|████████▉ | 25/28 [00:09<00:00, 3.02it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.09it/s]
100%|██████████| 28/28 [00:09<00:00, 2.86it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0%| | 0/28 [00:00<?, ?it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Finished.