Renaissance Soldiers with Authenticity
Input
prompt
Specify things to see in the output
a landknt holding a great sword with a serious look on his face, with a hat, with armor, proud, menacing, dangerous, beard, long hair, mustache, battle, medieval setting, renaissance setting, war, busy background, highly detailed, intricate, best quality, <lora:landknt:1>, <lora:add_detail:1>,
negative_prompt
Specify things to not see in the output
more than 2 legs, more than 2 shoes, more than 2 arms, more than 2 hands, ((Asian-Less2-Neg:2)), ((asian:2)), ((portrait:2)), ((focus on face:2)), EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes)
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1002276191
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
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_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 253.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: a landknt holding a great sword with a serious look on his face, with a hat, with armor, proud, menacing, dangerous, beard, long hair, mustache, battle, medieval setting, renaissance setting, war, busy background, highly detailed, intricate, best quality, <lora:landknt:1>,
Full negative prompt: more than 2 legs, more than 2 shoes, more than 2 arms, more than 2 hands, ((Asian-Less2-Neg:2)), ((asian:2)), ((portrait:2)), ((focus on face:2)), EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes)
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0: 640x640 1 face, 7.4ms
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63%|██████▎ | 12/19 [00:05<00:03, 2.24it/s]
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84%|████████▍ | 16/19 [00:07<00:01, 2.41it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.25it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 19/19 [00:07<00:00, 3.30it/s]
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Decoding latents in cuda:0...
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100%|██████████| 19/19 [00:07<00:00, 3.28it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 9 faces, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 19/19 [00:08<00:00, 3.23it/s]
100%|██████████| 19/19 [00:08<00:00, 2.36it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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37%|███▋ | 7/19 [00:03<00:05, 2.14it/s]
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58%|█████▊ | 11/19 [00:05<00:03, 2.07it/s]
63%|██████▎ | 12/19 [00:05<00:03, 2.06it/s]
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84%|████████▍ | 16/19 [00:07<00:01, 2.37it/s]
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100%|██████████| 19/19 [00:08<00:00, 3.24it/s]
100%|██████████| 19/19 [00:08<00:00, 2.34it/s]
Decoding latents in cuda:0...
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11%|█ | 2/19 [00:00<00:08, 1.99it/s]
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63%|██████▎ | 12/19 [00:05<00:03, 2.21it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.22it/s]
100%|██████████| 19/19 [00:07<00:00, 2.38it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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11%|█ | 2/19 [00:00<00:08, 2.08it/s]
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100%|██████████| 19/19 [00:08<00:00, 3.23it/s]
100%|██████████| 19/19 [00:08<00:00, 2.36it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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37%|███▋ | 7/19 [00:03<00:05, 2.13it/s]
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58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s]
63%|██████▎ | 12/19 [00:05<00:03, 2.26it/s]
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74%|███████▎ | 14/19 [00:06<00:02, 2.28it/s]
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84%|████████▍ | 16/19 [00:07<00:01, 2.42it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.27it/s]
100%|██████████| 19/19 [00:07<00:00, 2.41it/s]
Decoding latents in cuda:0...
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37%|███▋ | 7/19 [00:03<00:05, 2.18it/s]
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58%|█████▊ | 11/19 [00:04<00:03, 2.28it/s]
63%|██████▎ | 12/19 [00:05<00:03, 2.29it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.29it/s]
100%|██████████| 19/19 [00:07<00:00, 2.43it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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42%|████▏ | 8/19 [00:03<00:04, 2.27it/s]
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58%|█████▊ | 11/19 [00:04<00:03, 2.31it/s]
63%|██████▎ | 12/19 [00:05<00:03, 2.25it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.24it/s]
100%|██████████| 19/19 [00:07<00:00, 2.42it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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63%|██████▎ | 12/19 [00:05<00:03, 2.24it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.30it/s]
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100%|██████████| 19/19 [00:08<00:00, 3.11it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s]
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74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.26it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 14.6ms
Speed: 2.9ms preprocess, 14.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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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 landknt holding a great sword with a serious look on his face, with a hat, with armor, proud, menacing, dangerous, beard, long hair, mustache, battle, medieval setting, renaissance setting, war, busy background, highly detailed, intricate, best quality, <lora:landknt:1>, <lora:add_detail:1>,
negative_prompt
Specify things to not see in the output
more than 2 legs, more than 2 shoes, more than 2 arms, more than 2 hands, ((Asian-Less2-Neg:2)), ((asian:2)), ((portrait:2)), ((focus on face:2)), EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes)
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1002276191
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
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_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 253.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: a landknt holding a great sword with a serious look on his face, with a hat, with armor, proud, menacing, dangerous, beard, long hair, mustache, battle, medieval setting, renaissance setting, war, busy background, highly detailed, intricate, best quality, <lora:landknt:1>,
Full negative prompt: more than 2 legs, more than 2 shoes, more than 2 arms, more than 2 hands, ((Asian-Less2-Neg:2)), ((asian:2)), ((portrait:2)), ((focus on face:2)), EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.4ms
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0: 640x640 1 face, 7.6ms
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0: 640x640 1 face, 7.1ms
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63%|██████▎ | 12/19 [00:05<00:03, 2.24it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.25it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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100%|██████████| 19/19 [00:07<00:00, 3.28it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 9 faces, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 19/19 [00:08<00:00, 3.23it/s]
100%|██████████| 19/19 [00:08<00:00, 2.36it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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37%|███▋ | 7/19 [00:03<00:05, 2.14it/s]
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58%|█████▊ | 11/19 [00:05<00:03, 2.07it/s]
63%|██████▎ | 12/19 [00:05<00:03, 2.06it/s]
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100%|██████████| 19/19 [00:08<00:00, 3.24it/s]
100%|██████████| 19/19 [00:08<00:00, 2.34it/s]
Decoding latents in cuda:0...
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63%|██████▎ | 12/19 [00:05<00:03, 2.21it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.22it/s]
100%|██████████| 19/19 [00:07<00:00, 2.38it/s]
Decoding latents in cuda:0...
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100%|██████████| 19/19 [00:08<00:00, 3.23it/s]
100%|██████████| 19/19 [00:08<00:00, 2.36it/s]
Decoding latents in cuda:0...
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63%|██████▎ | 12/19 [00:05<00:03, 2.26it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.27it/s]
100%|██████████| 19/19 [00:07<00:00, 2.41it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 19/19 [00:07<00:00, 3.29it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 19/19 [00:07<00:00, 3.24it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 19/19 [00:08<00:00, 3.11it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s]
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100%|██████████| 19/19 [00:07<00:00, 3.26it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 14.6ms
Speed: 2.9ms preprocess, 14.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.