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Girls Fighting with Anime 3D Mix
anime-3d-mix:v1.0
evevalentine2017
evevalentine2017
·
12/17/2023
366
Input
prompt
Specify things to see in the output
(from below), (full body:1.4) photo of a beautiful young girl, (solo focus:1.4), (look at the viewer:1.4), grayish_turquoise-color (twin_braids hair), (bare thighs), Tom Ford for Gucci Spring/Summer 2003 bodysuit sexy clothes and skirt or pants, (shinny texture), azure-color wedge_heels, (gigantic_breast:1.4), (thin waist), cameltoe, (thick_thighs:1.2), calfs, (thin ankles), (fighting stance:1.4), (japanese temple background), (masterpiece,best quality, realistic:1.4), volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>,
negative_prompt
Specify things to not see in the output
nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2
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.
1812561530
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 Karras
samping_steps
Number of denoising steps
22
cfg_scale
Scale for classifier-free guidance
7.5
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.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)
FastNegativeV2.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)
NegfeetV2.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/ae7b399429cf456fbea8a0374a153449/00000-1812561530.webp
https://files.tungsten.run/uploads/543aa7e5e190407dadc095aec2b1c713/00001-1812561531.webp
https://files.tungsten.run/uploads/355f3e0e8c4b4cdcbf45ff316fd032fb/00002-1812561532.webp
https://files.tungsten.run/uploads/a181649ff0e4466887c421f3d921b357/00003-1812561533.webp
Finished in 41.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (from below), (full body:1.4) photo of a beautiful young girl, (solo focus:1.4), (look at the viewer:1.4), grayish_turquoise-color (twin_braids hair), (bare thighs), Tom Ford for Gucci Spring/Summer 2003 bodysuit sexy clothes and skirt or pants, (shinny texture), azure-color wedge_heels, (gigantic_breast:1.4), (thin waist), cameltoe, (thick_thighs:1.2), calfs, (thin ankles), (fighting stance:1.4), (japanese temple background), (masterpiece,best quality, realistic:1.4), volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>, Full negative prompt: nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:01<00:27, 1.30s/it] 9%|▉ | 2/22 [00:01<00:18, 1.10it/s] 14%|█▎ | 3/22 [00:02<00:14, 1.28it/s] 18%|█▊ | 4/22 [00:03<00:13, 1.38it/s] 23%|██▎ | 5/22 [00:03<00:11, 1.44it/s] 27%|██▋ | 6/22 [00:04<00:10, 1.49it/s] 32%|███▏ | 7/22 [00:05<00:09, 1.51it/s] 36%|███▋ | 8/22 [00:05<00:09, 1.54it/s] 41%|████ | 9/22 [00:06<00:08, 1.55it/s] 45%|████▌ | 10/22 [00:07<00:07, 1.55it/s] 50%|█████ | 11/22 [00:07<00:07, 1.56it/s] 55%|█████▍ | 12/22 [00:08<00:06, 1.56it/s] 59%|█████▉ | 13/22 [00:08<00:05, 1.56it/s] 64%|██████▎ | 14/22 [00:09<00:05, 1.57it/s] 68%|██████▊ | 15/22 [00:10<00:04, 1.57it/s] 73%|███████▎ | 16/22 [00:10<00:03, 1.57it/s] 77%|███████▋ | 17/22 [00:11<00:03, 1.57it/s] 82%|████████▏ | 18/22 [00:12<00:02, 1.57it/s] 86%|████████▋ | 19/22 [00:12<00:01, 1.57it/s] 91%|█████████ | 20/22 [00:13<00:01, 1.57it/s] 95%|█████████▌| 21/22 [00:14<00:00, 1.56it/s] 100%|██████████| 22/22 [00:14<00:00, 1.57it/s] 100%|██████████| 22/22 [00:14<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.4ms preprocess, 7.9ms inference, 32.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.58it/s] 15%|█▌ | 2/13 [00:00<00:03, 3.61it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.16it/s] 31%|███ | 4/13 [00:00<00:02, 4.37it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.61it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.77it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.86it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.86it/s] 69%|██████▉ | 9/13 [00:02<00:00, 4.74it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.83it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.89it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.92it/s] 100%|██████████| 13/13 [00:02<00:00, 4.91it/s] 100%|██████████| 13/13 [00:02<00:00, 4.62it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.89it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.93it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.93it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.91it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.95it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.96it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.99it/s] 69%|██████▉ | 9/13 [00:01<00:00, 5.01it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.91it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.95it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.95it/s] 100%|██████████| 13/13 [00:02<00:00, 4.93it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.00it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.71it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.78it/s] 31%|███ | 4/13 [00:00<00:01, 4.88it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.95it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.93it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.87it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.93it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.89it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.91it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.96it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.91it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] 100%|██████████| 13/13 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.98it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.91it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.98it/s] 31%|███ | 4/13 [00:00<00:01, 4.85it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.93it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.90it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.96it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.99it/s] 69%|██████▉ | 9/13 [00:01<00:00, 5.00it/s] 77%|███████▋ | 10/13 [00:02<00:00, 5.04it/s] 85%|████████▍ | 11/13 [00:02<00:00, 5.04it/s] 92%|█████████▏| 12/13 [00:02<00:00, 5.01it/s] 100%|██████████| 13/13 [00:02<00:00, 4.98it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(from below), (full body:1.4) photo of a beautiful young girl, (solo focus:1.4), (look at the viewer:1.4), grayish_turquoise-color (twin_braids hair), (bare thighs), Tom Ford for Gucci Spring/Summer 2003 bodysuit sexy clothes and skirt or pants, (shinny texture), azure-color wedge_heels, (gigantic_breast:1.4), (thin waist), cameltoe, (thick_thighs:1.2), calfs, (thin ankles), (fighting stance:1.4), (japanese temple background), (masterpiece,best quality, realistic:1.4), volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>,
negative_prompt
Specify things to not see in the output
nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2
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.
1812561530
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 Karras
samping_steps
Number of denoising steps
22
cfg_scale
Scale for classifier-free guidance
7.5
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.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)
FastNegativeV2.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)
NegfeetV2.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/ae7b399429cf456fbea8a0374a153449/00000-1812561530.webp
https://files.tungsten.run/uploads/543aa7e5e190407dadc095aec2b1c713/00001-1812561531.webp
https://files.tungsten.run/uploads/355f3e0e8c4b4cdcbf45ff316fd032fb/00002-1812561532.webp
https://files.tungsten.run/uploads/a181649ff0e4466887c421f3d921b357/00003-1812561533.webp
Finished in 41.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (from below), (full body:1.4) photo of a beautiful young girl, (solo focus:1.4), (look at the viewer:1.4), grayish_turquoise-color (twin_braids hair), (bare thighs), Tom Ford for Gucci Spring/Summer 2003 bodysuit sexy clothes and skirt or pants, (shinny texture), azure-color wedge_heels, (gigantic_breast:1.4), (thin waist), cameltoe, (thick_thighs:1.2), calfs, (thin ankles), (fighting stance:1.4), (japanese temple background), (masterpiece,best quality, realistic:1.4), volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>, Full negative prompt: nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:01<00:27, 1.30s/it] 9%|▉ | 2/22 [00:01<00:18, 1.10it/s] 14%|█▎ | 3/22 [00:02<00:14, 1.28it/s] 18%|█▊ | 4/22 [00:03<00:13, 1.38it/s] 23%|██▎ | 5/22 [00:03<00:11, 1.44it/s] 27%|██▋ | 6/22 [00:04<00:10, 1.49it/s] 32%|███▏ | 7/22 [00:05<00:09, 1.51it/s] 36%|███▋ | 8/22 [00:05<00:09, 1.54it/s] 41%|████ | 9/22 [00:06<00:08, 1.55it/s] 45%|████▌ | 10/22 [00:07<00:07, 1.55it/s] 50%|█████ | 11/22 [00:07<00:07, 1.56it/s] 55%|█████▍ | 12/22 [00:08<00:06, 1.56it/s] 59%|█████▉ | 13/22 [00:08<00:05, 1.56it/s] 64%|██████▎ | 14/22 [00:09<00:05, 1.57it/s] 68%|██████▊ | 15/22 [00:10<00:04, 1.57it/s] 73%|███████▎ | 16/22 [00:10<00:03, 1.57it/s] 77%|███████▋ | 17/22 [00:11<00:03, 1.57it/s] 82%|████████▏ | 18/22 [00:12<00:02, 1.57it/s] 86%|████████▋ | 19/22 [00:12<00:01, 1.57it/s] 91%|█████████ | 20/22 [00:13<00:01, 1.57it/s] 95%|█████████▌| 21/22 [00:14<00:00, 1.56it/s] 100%|██████████| 22/22 [00:14<00:00, 1.57it/s] 100%|██████████| 22/22 [00:14<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.4ms preprocess, 7.9ms inference, 32.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.58it/s] 15%|█▌ | 2/13 [00:00<00:03, 3.61it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.16it/s] 31%|███ | 4/13 [00:00<00:02, 4.37it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.61it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.77it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.86it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.86it/s] 69%|██████▉ | 9/13 [00:02<00:00, 4.74it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.83it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.89it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.92it/s] 100%|██████████| 13/13 [00:02<00:00, 4.91it/s] 100%|██████████| 13/13 [00:02<00:00, 4.62it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.89it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.93it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.93it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.91it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.95it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.96it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.99it/s] 69%|██████▉ | 9/13 [00:01<00:00, 5.01it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.91it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.95it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.95it/s] 100%|██████████| 13/13 [00:02<00:00, 4.93it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.00it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.71it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.78it/s] 31%|███ | 4/13 [00:00<00:01, 4.88it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.95it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.93it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.87it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.93it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.89it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.91it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.96it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.91it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] 100%|██████████| 13/13 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.98it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.91it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.98it/s] 31%|███ | 4/13 [00:00<00:01, 4.85it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.93it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.90it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.96it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.99it/s] 69%|██████▉ | 9/13 [00:01<00:00, 5.00it/s] 77%|███████▋ | 10/13 [00:02<00:00, 5.04it/s] 85%|████████▍ | 11/13 [00:02<00:00, 5.04it/s] 92%|█████████▏| 12/13 [00:02<00:00, 5.01it/s] 100%|██████████| 13/13 [00:02<00:00, 4.98it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.