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Nausicaa with Studio Ghibli
studio-ghibli:v1.0
evevalentine2017
evevalentine2017
·
12/21/2023
367
Input
prompt
Specify things to see in the output
masterpiece, best quality, <lora:Nausicaa005:0.7>, smile, open mouth, Nausicaa, 1 girl, blue_dress, long_sleeves, nature, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(bad anatomy, worst quality, low quality:1.4), watermark, signature, username, patreon, monochrome, zombie, squinting, text, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, 3 legs, 4 legs, mutant, fat, chubby, NSFW, naked, bad-hands-5
num_outputs
Number of output images
4
width
Output image width
640
height
Output image height
640
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
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0.5
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.
1992535234
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
32
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Nausicaa005.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)
ng_deepnegative_v1_75t.pt
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)
verybadimagenegative_v1.3.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/95a843df67cd43c689132c5261838f4f/00000-1992535234.webp
https://files.tungsten.run/uploads/e2ad0abad7944188aa3c8fd099d03e43/00001-1992535235.webp
https://files.tungsten.run/uploads/fb7e6f7eb46f462a9a9fe086f9827332/00002-1992535236.webp
https://files.tungsten.run/uploads/f75e83f8607647c8b7fec5588e57dd75/00003-1992535237.webp
Finished in 34.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: masterpiece, best quality, <lora:Nausicaa005:0.7>, smile, open mouth, Nausicaa, 1 girl, blue_dress, long_sleeves, nature, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.5> Full negative prompt: (bad anatomy, worst quality, low quality:1.4), watermark, signature, username, patreon, monochrome, zombie, squinting, text, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, 3 legs, 4 legs, mutant, fat, chubby, NSFW, naked, bad-hands-5 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:33, 1.07s/it] 6%|▋ | 2/32 [00:01<00:20, 1.45it/s] 9%|▉ | 3/32 [00:01<00:16, 1.73it/s] 12%|█▎ | 4/32 [00:02<00:14, 1.93it/s] 16%|█▌ | 5/32 [00:02<00:13, 2.05it/s] 19%|█▉ | 6/32 [00:03<00:12, 2.14it/s] 22%|██▏ | 7/32 [00:03<00:11, 2.21it/s] 25%|██▌ | 8/32 [00:04<00:10, 2.23it/s] 28%|██▊ | 9/32 [00:04<00:10, 2.26it/s] 31%|███▏ | 10/32 [00:04<00:09, 2.26it/s] 34%|███▍ | 11/32 [00:05<00:09, 2.27it/s] 38%|███▊ | 12/32 [00:05<00:08, 2.28it/s] 41%|████ | 13/32 [00:06<00:08, 2.30it/s] 44%|████▍ | 14/32 [00:06<00:07, 2.30it/s] 47%|████▋ | 15/32 [00:07<00:07, 2.30it/s] 50%|█████ | 16/32 [00:07<00:06, 2.30it/s] 53%|█████▎ | 17/32 [00:07<00:06, 2.30it/s] 56%|█████▋ | 18/32 [00:08<00:06, 2.31it/s] 59%|█████▉ | 19/32 [00:08<00:05, 2.31it/s] 62%|██████▎ | 20/32 [00:09<00:05, 2.31it/s] 66%|██████▌ | 21/32 [00:09<00:04, 2.31it/s] 69%|██████▉ | 22/32 [00:10<00:04, 2.31it/s] 72%|███████▏ | 23/32 [00:10<00:03, 2.31it/s] 75%|███████▌ | 24/32 [00:11<00:03, 2.31it/s] 78%|███████▊ | 25/32 [00:11<00:03, 2.31it/s] 81%|████████▏ | 26/32 [00:11<00:02, 2.30it/s] 84%|████████▍ | 27/32 [00:12<00:02, 2.30it/s] 88%|████████▊ | 28/32 [00:12<00:01, 2.31it/s] 91%|█████████ | 29/32 [00:13<00:01, 2.31it/s] 94%|█████████▍| 30/32 [00:13<00:00, 2.31it/s] 97%|█████████▋| 31/32 [00:14<00:00, 2.31it/s] 100%|██████████| 32/32 [00:14<00:00, 2.33it/s] 100%|██████████| 32/32 [00:14<00:00, 2.21it/s] Decoding latents in cuda:0... done in 0.67s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 2.0ms preprocess, 7.7ms inference, 39.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:03, 3.46it/s] 15%|█▌ | 2/13 [00:00<00:02, 5.34it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.47it/s] 31%|███ | 4/13 [00:00<00:01, 7.12it/s] 38%|███▊ | 5/13 [00:00<00:01, 7.54it/s] 46%|████▌ | 6/13 [00:00<00:00, 7.82it/s] 54%|█████▍ | 7/13 [00:00<00:00, 8.03it/s] 62%|██████▏ | 8/13 [00:01<00:00, 8.16it/s] 69%|██████▉ | 9/13 [00:01<00:00, 8.24it/s] 77%|███████▋ | 10/13 [00:01<00:00, 8.33it/s] 85%|████████▍ | 11/13 [00:01<00:00, 8.42it/s] 92%|█████████▏| 12/13 [00:01<00:00, 8.44it/s] 100%|██████████| 13/13 [00:01<00:00, 8.55it/s] 100%|██████████| 13/13 [00:01<00:00, 7.66it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 1.5ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 8.47it/s] 15%|█▌ | 2/13 [00:00<00:01, 8.52it/s] 23%|██▎ | 3/13 [00:00<00:01, 8.51it/s] 31%|███ | 4/13 [00:00<00:01, 8.52it/s] 38%|███▊ | 5/13 [00:00<00:00, 8.51it/s] 46%|████▌ | 6/13 [00:00<00:00, 8.51it/s] 54%|█████▍ | 7/13 [00:00<00:00, 8.49it/s] 62%|██████▏ | 8/13 [00:00<00:00, 8.44it/s] 69%|██████▉ | 9/13 [00:01<00:00, 8.45it/s] 77%|███████▋ | 10/13 [00:01<00:00, 8.46it/s] 85%|████████▍ | 11/13 [00:01<00:00, 8.49it/s] 92%|█████████▏| 12/13 [00:01<00:00, 8.51it/s] 100%|██████████| 13/13 [00:01<00:00, 8.56it/s] 100%|██████████| 13/13 [00:01<00:00, 8.50it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 1.5ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 8.37it/s] 15%|█▌ | 2/13 [00:00<00:01, 8.49it/s] 23%|██▎ | 3/13 [00:00<00:01, 8.56it/s] 31%|███ | 4/13 [00:00<00:01, 8.60it/s] 38%|███▊ | 5/13 [00:00<00:00, 8.57it/s] 46%|████▌ | 6/13 [00:00<00:00, 8.56it/s] 54%|█████▍ | 7/13 [00:00<00:00, 8.50it/s] 62%|██████▏ | 8/13 [00:00<00:00, 8.39it/s] 69%|██████▉ | 9/13 [00:01<00:00, 8.43it/s] 77%|███████▋ | 10/13 [00:01<00:00, 8.47it/s] 85%|████████▍ | 11/13 [00:01<00:00, 8.48it/s] 92%|█████████▏| 12/13 [00:01<00:00, 8.51it/s] 100%|██████████| 13/13 [00:01<00:00, 8.64it/s] 100%|██████████| 13/13 [00:01<00:00, 8.53it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 1.4ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 8.55it/s] 15%|█▌ | 2/13 [00:00<00:01, 8.55it/s] 23%|██▎ | 3/13 [00:00<00:01, 8.51it/s] 31%|███ | 4/13 [00:00<00:01, 8.56it/s] 38%|███▊ | 5/13 [00:00<00:00, 8.52it/s] 46%|████▌ | 6/13 [00:00<00:00, 8.50it/s] 54%|█████▍ | 7/13 [00:00<00:00, 8.53it/s] 62%|██████▏ | 8/13 [00:00<00:00, 8.46it/s] 69%|██████▉ | 9/13 [00:01<00:00, 8.46it/s] 77%|███████▋ | 10/13 [00:01<00:00, 8.48it/s] 85%|████████▍ | 11/13 [00:01<00:00, 8.45it/s] 92%|█████████▏| 12/13 [00:01<00:00, 8.37it/s] 100%|██████████| 13/13 [00:01<00:00, 8.43it/s] 100%|██████████| 13/13 [00:01<00:00, 8.47it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
masterpiece, best quality, <lora:Nausicaa005:0.7>, smile, open mouth, Nausicaa, 1 girl, blue_dress, long_sleeves, nature, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(bad anatomy, worst quality, low quality:1.4), watermark, signature, username, patreon, monochrome, zombie, squinting, text, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, 3 legs, 4 legs, mutant, fat, chubby, NSFW, naked, bad-hands-5
num_outputs
Number of output images
4
width
Output image width
640
height
Output image height
640
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
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0.5
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.
1992535234
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
32
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Nausicaa005.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)
ng_deepnegative_v1_75t.pt
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)
verybadimagenegative_v1.3.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/95a843df67cd43c689132c5261838f4f/00000-1992535234.webp
https://files.tungsten.run/uploads/e2ad0abad7944188aa3c8fd099d03e43/00001-1992535235.webp
https://files.tungsten.run/uploads/fb7e6f7eb46f462a9a9fe086f9827332/00002-1992535236.webp
https://files.tungsten.run/uploads/f75e83f8607647c8b7fec5588e57dd75/00003-1992535237.webp
Finished in 34.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: masterpiece, best quality, <lora:Nausicaa005:0.7>, smile, open mouth, Nausicaa, 1 girl, blue_dress, long_sleeves, nature, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.5> Full negative prompt: (bad anatomy, worst quality, low quality:1.4), watermark, signature, username, patreon, monochrome, zombie, squinting, text, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, 3 legs, 4 legs, mutant, fat, chubby, NSFW, naked, bad-hands-5 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:33, 1.07s/it] 6%|▋ | 2/32 [00:01<00:20, 1.45it/s] 9%|▉ | 3/32 [00:01<00:16, 1.73it/s] 12%|█▎ | 4/32 [00:02<00:14, 1.93it/s] 16%|█▌ | 5/32 [00:02<00:13, 2.05it/s] 19%|█▉ | 6/32 [00:03<00:12, 2.14it/s] 22%|██▏ | 7/32 [00:03<00:11, 2.21it/s] 25%|██▌ | 8/32 [00:04<00:10, 2.23it/s] 28%|██▊ | 9/32 [00:04<00:10, 2.26it/s] 31%|███▏ | 10/32 [00:04<00:09, 2.26it/s] 34%|███▍ | 11/32 [00:05<00:09, 2.27it/s] 38%|███▊ | 12/32 [00:05<00:08, 2.28it/s] 41%|████ | 13/32 [00:06<00:08, 2.30it/s] 44%|████▍ | 14/32 [00:06<00:07, 2.30it/s] 47%|████▋ | 15/32 [00:07<00:07, 2.30it/s] 50%|█████ | 16/32 [00:07<00:06, 2.30it/s] 53%|█████▎ | 17/32 [00:07<00:06, 2.30it/s] 56%|█████▋ | 18/32 [00:08<00:06, 2.31it/s] 59%|█████▉ | 19/32 [00:08<00:05, 2.31it/s] 62%|██████▎ | 20/32 [00:09<00:05, 2.31it/s] 66%|██████▌ | 21/32 [00:09<00:04, 2.31it/s] 69%|██████▉ | 22/32 [00:10<00:04, 2.31it/s] 72%|███████▏ | 23/32 [00:10<00:03, 2.31it/s] 75%|███████▌ | 24/32 [00:11<00:03, 2.31it/s] 78%|███████▊ | 25/32 [00:11<00:03, 2.31it/s] 81%|████████▏ | 26/32 [00:11<00:02, 2.30it/s] 84%|████████▍ | 27/32 [00:12<00:02, 2.30it/s] 88%|████████▊ | 28/32 [00:12<00:01, 2.31it/s] 91%|█████████ | 29/32 [00:13<00:01, 2.31it/s] 94%|█████████▍| 30/32 [00:13<00:00, 2.31it/s] 97%|█████████▋| 31/32 [00:14<00:00, 2.31it/s] 100%|██████████| 32/32 [00:14<00:00, 2.33it/s] 100%|██████████| 32/32 [00:14<00:00, 2.21it/s] Decoding latents in cuda:0... done in 0.67s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 2.0ms preprocess, 7.7ms inference, 39.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:03, 3.46it/s] 15%|█▌ | 2/13 [00:00<00:02, 5.34it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.47it/s] 31%|███ | 4/13 [00:00<00:01, 7.12it/s] 38%|███▊ | 5/13 [00:00<00:01, 7.54it/s] 46%|████▌ | 6/13 [00:00<00:00, 7.82it/s] 54%|█████▍ | 7/13 [00:00<00:00, 8.03it/s] 62%|██████▏ | 8/13 [00:01<00:00, 8.16it/s] 69%|██████▉ | 9/13 [00:01<00:00, 8.24it/s] 77%|███████▋ | 10/13 [00:01<00:00, 8.33it/s] 85%|████████▍ | 11/13 [00:01<00:00, 8.42it/s] 92%|█████████▏| 12/13 [00:01<00:00, 8.44it/s] 100%|██████████| 13/13 [00:01<00:00, 8.55it/s] 100%|██████████| 13/13 [00:01<00:00, 7.66it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 1.5ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 8.47it/s] 15%|█▌ | 2/13 [00:00<00:01, 8.52it/s] 23%|██▎ | 3/13 [00:00<00:01, 8.51it/s] 31%|███ | 4/13 [00:00<00:01, 8.52it/s] 38%|███▊ | 5/13 [00:00<00:00, 8.51it/s] 46%|████▌ | 6/13 [00:00<00:00, 8.51it/s] 54%|█████▍ | 7/13 [00:00<00:00, 8.49it/s] 62%|██████▏ | 8/13 [00:00<00:00, 8.44it/s] 69%|██████▉ | 9/13 [00:01<00:00, 8.45it/s] 77%|███████▋ | 10/13 [00:01<00:00, 8.46it/s] 85%|████████▍ | 11/13 [00:01<00:00, 8.49it/s] 92%|█████████▏| 12/13 [00:01<00:00, 8.51it/s] 100%|██████████| 13/13 [00:01<00:00, 8.56it/s] 100%|██████████| 13/13 [00:01<00:00, 8.50it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 1.5ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 8.37it/s] 15%|█▌ | 2/13 [00:00<00:01, 8.49it/s] 23%|██▎ | 3/13 [00:00<00:01, 8.56it/s] 31%|███ | 4/13 [00:00<00:01, 8.60it/s] 38%|███▊ | 5/13 [00:00<00:00, 8.57it/s] 46%|████▌ | 6/13 [00:00<00:00, 8.56it/s] 54%|█████▍ | 7/13 [00:00<00:00, 8.50it/s] 62%|██████▏ | 8/13 [00:00<00:00, 8.39it/s] 69%|██████▉ | 9/13 [00:01<00:00, 8.43it/s] 77%|███████▋ | 10/13 [00:01<00:00, 8.47it/s] 85%|████████▍ | 11/13 [00:01<00:00, 8.48it/s] 92%|█████████▏| 12/13 [00:01<00:00, 8.51it/s] 100%|██████████| 13/13 [00:01<00:00, 8.64it/s] 100%|██████████| 13/13 [00:01<00:00, 8.53it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 1.4ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 8.55it/s] 15%|█▌ | 2/13 [00:00<00:01, 8.55it/s] 23%|██▎ | 3/13 [00:00<00:01, 8.51it/s] 31%|███ | 4/13 [00:00<00:01, 8.56it/s] 38%|███▊ | 5/13 [00:00<00:00, 8.52it/s] 46%|████▌ | 6/13 [00:00<00:00, 8.50it/s] 54%|█████▍ | 7/13 [00:00<00:00, 8.53it/s] 62%|██████▏ | 8/13 [00:00<00:00, 8.46it/s] 69%|██████▉ | 9/13 [00:01<00:00, 8.46it/s] 77%|███████▋ | 10/13 [00:01<00:00, 8.48it/s] 85%|████████▍ | 11/13 [00:01<00:00, 8.45it/s] 92%|█████████▏| 12/13 [00:01<00:00, 8.37it/s] 100%|██████████| 13/13 [00:01<00:00, 8.43it/s] 100%|██████████| 13/13 [00:01<00:00, 8.47it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s Finished.