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Christmas with CuteYukiMix Adorable
cuteyukimix-adorable:v1.0
evevalentine2017
evevalentine2017
·
12/31/2023
363
Input
prompt
Specify things to see in the output
christmas_tree, 1girl, solo, headphones, silver_hair, green_eyes, hair_ribbon, ribbon, scarf, blush, sky, snowflakes, outdoors, red_ribbon, christmas_ornaments, night_sky, red_scarf, long_sleeves, coat, pants, boots, night, snow, bangs, snowing, open_clothes, christmas, open_mouth, long_hair, two_side_up, cowboy_shot, <lora:add_details:0.4>
negative_prompt
Specify things to not see in the output
EasyNegative, more than 3 legs, more than 2 tails, animals, nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, 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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1433893477
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
Euler a
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/2f48f5d70975482998dfd6176882330f/00000-1433893477.webp
https://files.tungsten.run/uploads/39e2fa9fb231420eb84d395e39d8e4f1/00001-1433893478.webp
https://files.tungsten.run/uploads/ed1d61a8e1e74575b74c3823ee355198/00002-1433893479.webp
https://files.tungsten.run/uploads/42e0453201044ae9ac82041bab056558/00003-1433893480.webp
Finished in 41.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: christmas_tree, 1girl, solo, headphones, silver_hair, green_eyes, hair_ribbon, ribbon, scarf, blush, sky, snowflakes, outdoors, red_ribbon, christmas_ornaments, night_sky, red_scarf, long_sleeves, coat, pants, boots, night, snow, bangs, snowing, open_clothes, christmas, open_mouth, long_hair, two_side_up, cowboy_shot, <lora:add_details:0.4> Full negative prompt: EasyNegative, more than 3 legs, more than 2 tails, animals, nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad-hands-5 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:28, 1.24s/it] 8%|▊ | 2/24 [00:01<00:19, 1.11it/s] 12%|█▎ | 3/24 [00:02<00:16, 1.28it/s] 17%|█▋ | 4/24 [00:03<00:14, 1.36it/s] 21%|██ | 5/24 [00:03<00:13, 1.42it/s] 25%|██▌ | 6/24 [00:04<00:12, 1.45it/s] 29%|██▉ | 7/24 [00:05<00:11, 1.47it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.49it/s] 38%|███▊ | 9/24 [00:06<00:10, 1.50it/s] 42%|████▏ | 10/24 [00:07<00:09, 1.50it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.51it/s] 50%|█████ | 12/24 [00:08<00:07, 1.51it/s] 54%|█████▍ | 13/24 [00:09<00:07, 1.51it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.51it/s] 62%|██████▎ | 15/24 [00:10<00:05, 1.51it/s] 67%|██████▋ | 16/24 [00:11<00:05, 1.51it/s] 71%|███████ | 17/24 [00:11<00:04, 1.51it/s] 75%|███████▌ | 18/24 [00:12<00:03, 1.51it/s] 79%|███████▉ | 19/24 [00:13<00:03, 1.51it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.51it/s] 88%|████████▊ | 21/24 [00:14<00:01, 1.50it/s] 92%|█████████▏| 22/24 [00:15<00:01, 1.50it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.50it/s] 100%|██████████| 24/24 [00:16<00:00, 1.51it/s] 100%|██████████| 24/24 [00:16<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 30.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.61it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.14it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.44it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.62it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.74it/s] 50%|█████ | 7/14 [00:01<00:01, 4.82it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.84it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.88it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.90it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.92it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.94it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.90it/s] 100%|██████████| 14/14 [00:03<00:00, 4.95it/s] 100%|██████████| 14/14 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.01s 0: 640x640 1 face, 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.02it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.01it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.98it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.95it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.92it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.94it/s] 50%|█████ | 7/14 [00:01<00:01, 4.93it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.95it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.94it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.91it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.91it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.92it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.92it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.89it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.94it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.95it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.96it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.94it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.92it/s] 50%|█████ | 7/14 [00:01<00:01, 4.79it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.84it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.88it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.90it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.91it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.88it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.90it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.98it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.86it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.80it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.80it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.72it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.79it/s] 50%|█████ | 7/14 [00:01<00:01, 4.79it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.84it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.68it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.77it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.84it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.88it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.91it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:02<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
christmas_tree, 1girl, solo, headphones, silver_hair, green_eyes, hair_ribbon, ribbon, scarf, blush, sky, snowflakes, outdoors, red_ribbon, christmas_ornaments, night_sky, red_scarf, long_sleeves, coat, pants, boots, night, snow, bangs, snowing, open_clothes, christmas, open_mouth, long_hair, two_side_up, cowboy_shot, <lora:add_details:0.4>
negative_prompt
Specify things to not see in the output
EasyNegative, more than 3 legs, more than 2 tails, animals, nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, 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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1433893477
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
Euler a
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/2f48f5d70975482998dfd6176882330f/00000-1433893477.webp
https://files.tungsten.run/uploads/39e2fa9fb231420eb84d395e39d8e4f1/00001-1433893478.webp
https://files.tungsten.run/uploads/ed1d61a8e1e74575b74c3823ee355198/00002-1433893479.webp
https://files.tungsten.run/uploads/42e0453201044ae9ac82041bab056558/00003-1433893480.webp
Finished in 41.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: christmas_tree, 1girl, solo, headphones, silver_hair, green_eyes, hair_ribbon, ribbon, scarf, blush, sky, snowflakes, outdoors, red_ribbon, christmas_ornaments, night_sky, red_scarf, long_sleeves, coat, pants, boots, night, snow, bangs, snowing, open_clothes, christmas, open_mouth, long_hair, two_side_up, cowboy_shot, <lora:add_details:0.4> Full negative prompt: EasyNegative, more than 3 legs, more than 2 tails, animals, nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad-hands-5 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:28, 1.24s/it] 8%|▊ | 2/24 [00:01<00:19, 1.11it/s] 12%|█▎ | 3/24 [00:02<00:16, 1.28it/s] 17%|█▋ | 4/24 [00:03<00:14, 1.36it/s] 21%|██ | 5/24 [00:03<00:13, 1.42it/s] 25%|██▌ | 6/24 [00:04<00:12, 1.45it/s] 29%|██▉ | 7/24 [00:05<00:11, 1.47it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.49it/s] 38%|███▊ | 9/24 [00:06<00:10, 1.50it/s] 42%|████▏ | 10/24 [00:07<00:09, 1.50it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.51it/s] 50%|█████ | 12/24 [00:08<00:07, 1.51it/s] 54%|█████▍ | 13/24 [00:09<00:07, 1.51it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.51it/s] 62%|██████▎ | 15/24 [00:10<00:05, 1.51it/s] 67%|██████▋ | 16/24 [00:11<00:05, 1.51it/s] 71%|███████ | 17/24 [00:11<00:04, 1.51it/s] 75%|███████▌ | 18/24 [00:12<00:03, 1.51it/s] 79%|███████▉ | 19/24 [00:13<00:03, 1.51it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.51it/s] 88%|████████▊ | 21/24 [00:14<00:01, 1.50it/s] 92%|█████████▏| 22/24 [00:15<00:01, 1.50it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.50it/s] 100%|██████████| 24/24 [00:16<00:00, 1.51it/s] 100%|██████████| 24/24 [00:16<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 30.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.60it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.61it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.14it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.44it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.62it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.74it/s] 50%|█████ | 7/14 [00:01<00:01, 4.82it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.84it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.88it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.90it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.92it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.94it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.90it/s] 100%|██████████| 14/14 [00:03<00:00, 4.95it/s] 100%|██████████| 14/14 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.01s 0: 640x640 1 face, 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.02it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.01it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.98it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.95it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.92it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.94it/s] 50%|█████ | 7/14 [00:01<00:01, 4.93it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.95it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.94it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.91it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.91it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.92it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.92it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.89it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.94it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.95it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.96it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.94it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.92it/s] 50%|█████ | 7/14 [00:01<00:01, 4.79it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.84it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.88it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.90it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.91it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.88it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.90it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.98it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.86it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.80it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.80it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.72it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.79it/s] 50%|█████ | 7/14 [00:01<00:01, 4.79it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.84it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.68it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.77it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.84it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.88it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.91it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:02<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.