Gorgeous Undies Girl with Yoru Cat
·
12/12/2023
378
Input
prompt
Specify things to see in the output
girl, pet cat, ears cat, cats, sitting, (white hair:1.0), bra, panties,
negative_prompt
Specify things to not see in the output
an11, EasyNegativeV2, drawn by bad-artist, sketch by bad-artist-anime, (bad_prompt:0.8), (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), bad-hands-5, blurry, child, loli, kids
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
0.55
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.
4269076217
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
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
ClearVAE_V2.3_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
https://files.tungsten.run/uploads/32cd9947ebca46899edbd2b4ad6991b8/00000-4269076217.webp
https://files.tungsten.run/uploads/22cd441d7468490f9529ef56deef1e1c/00001-4269076218.webp
https://files.tungsten.run/uploads/7e0c7cc26ef2407f8124e3f78ddbd65e/00002-4269076219.webp
https://files.tungsten.run/uploads/af7baf2ffca649c596d1d3c2420fc482/00003-4269076220.webp
Finished in 105.6 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.safetensors Full prompt: girl, pet cat, ears cat, cats, sitting, (white hair:1.0), bra, panties, Full negative prompt: an11, EasyNegativeV2, drawn by bad-artist, sketch by bad-artist-anime, (bad_prompt:0.8), (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), bad-hands-5, blurry, child, loli, kids 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:49, 1.00s/it] 4%|▍ | 2/50 [00:01<00:39, 1.22it/s] 6%|▌ | 3/50 [00:02<00:35, 1.33it/s] 8%|▊ | 4/50 [00:03<00:33, 1.37it/s] 10%|█ | 5/50 [00:03<00:32, 1.39it/s] 12%|█▏ | 6/50 [00:04<00:30, 1.42it/s] 14%|█▍ | 7/50 [00:05<00:30, 1.42it/s] 16%|█▌ | 8/50 [00:05<00:29, 1.43it/s] 18%|█▊ | 9/50 [00:06<00:28, 1.43it/s] 20%|██ | 10/50 [00:07<00:27, 1.43it/s] 22%|██▏ | 11/50 [00:07<00:27, 1.43it/s] 24%|██▍ | 12/50 [00:08<00:26, 1.44it/s] 26%|██▌ | 13/50 [00:09<00:25, 1.44it/s] 28%|██▊ | 14/50 [00:10<00:25, 1.43it/s] 30%|███ | 15/50 [00:10<00:24, 1.43it/s] 32%|███▏ | 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latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.73it/s] 7%|▋ | 2/28 [00:00<00:03, 6.64it/s] 11%|█ | 3/28 [00:00<00:03, 6.59it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.57it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.45it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.31it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.23it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.26it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.35it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.40it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.35it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.30it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.29it/s] 50%|█████ | 14/28 [00:02<00:02, 6.27it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.33it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.34it/s] 61%|██████ | 17/28 [00:02<00:01, 6.31it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.26it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.23it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.25it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.29it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.24it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.26it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.25it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.21it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.25it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.26it/s] 100%|██████████| 28/28 [00:04<00:00, 6.27it/s] 100%|██████████| 28/28 [00:04<00:00, 6.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.18it/s] 7%|▋ | 2/28 [00:00<00:03, 6.51it/s] 11%|█ | 3/28 [00:00<00:03, 6.54it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.55it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.55it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.39it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.29it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.25it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.33it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.36it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.37it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.31it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.28it/s] 50%|█████ | 14/28 [00:02<00:02, 6.23it/s] 54%|█████▎ | 15/28 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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
girl, pet cat, ears cat, cats, sitting, (white hair:1.0), bra, panties,
negative_prompt
Specify things to not see in the output
an11, EasyNegativeV2, drawn by bad-artist, sketch by bad-artist-anime, (bad_prompt:0.8), (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), bad-hands-5, blurry, child, loli, kids
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
0.55
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.
4269076217
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
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
ClearVAE_V2.3_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
https://files.tungsten.run/uploads/32cd9947ebca46899edbd2b4ad6991b8/00000-4269076217.webp
https://files.tungsten.run/uploads/22cd441d7468490f9529ef56deef1e1c/00001-4269076218.webp
https://files.tungsten.run/uploads/7e0c7cc26ef2407f8124e3f78ddbd65e/00002-4269076219.webp
https://files.tungsten.run/uploads/af7baf2ffca649c596d1d3c2420fc482/00003-4269076220.webp
Finished in 105.6 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.safetensors Full prompt: girl, pet cat, ears cat, cats, sitting, (white hair:1.0), bra, panties, Full negative prompt: an11, EasyNegativeV2, drawn by bad-artist, sketch by bad-artist-anime, (bad_prompt:0.8), (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), bad-hands-5, blurry, child, loli, kids 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:49, 1.00s/it] 4%|▍ | 2/50 [00:01<00:39, 1.22it/s] 6%|▌ | 3/50 [00:02<00:35, 1.33it/s] 8%|▊ | 4/50 [00:03<00:33, 1.37it/s] 10%|█ | 5/50 [00:03<00:32, 1.39it/s] 12%|█▏ | 6/50 [00:04<00:30, 1.42it/s] 14%|█▍ | 7/50 [00:05<00:30, 1.42it/s] 16%|█▌ | 8/50 [00:05<00:29, 1.43it/s] 18%|█▊ | 9/50 [00:06<00:28, 1.43it/s] 20%|██ | 10/50 [00:07<00:27, 1.43it/s] 22%|██▏ | 11/50 [00:07<00:27, 1.43it/s] 24%|██▍ | 12/50 [00:08<00:26, 1.44it/s] 26%|██▌ | 13/50 [00:09<00:25, 1.44it/s] 28%|██▊ | 14/50 [00:10<00:25, 1.43it/s] 30%|███ | 15/50 [00:10<00:24, 1.43it/s] 32%|███▏ | 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latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.73it/s] 7%|▋ | 2/28 [00:00<00:03, 6.64it/s] 11%|█ | 3/28 [00:00<00:03, 6.59it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.57it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.45it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.31it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.23it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.26it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.35it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.40it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.35it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.30it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.29it/s] 50%|█████ | 14/28 [00:02<00:02, 6.27it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.33it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.34it/s] 61%|██████ | 17/28 [00:02<00:01, 6.31it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.26it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.23it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.25it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.29it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.24it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.26it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.25it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.21it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.25it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.26it/s] 100%|██████████| 28/28 [00:04<00:00, 6.27it/s] 100%|██████████| 28/28 [00:04<00:00, 6.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.18it/s] 7%|▋ | 2/28 [00:00<00:03, 6.51it/s] 11%|█ | 3/28 [00:00<00:03, 6.54it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.55it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.55it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.39it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.29it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.25it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.33it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.36it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.37it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.31it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.28it/s] 50%|█████ | 14/28 [00:02<00:02, 6.23it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.25it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.32it/s] 61%|██████ | 17/28 [00:02<00:01, 6.36it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.36it/s] 68%|██████▊ | 19/28 [00:02<00:01, 6.31it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.24it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.27it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.31it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.33it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.35it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.30it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.26it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.27it/s] 100%|██████████| 28/28 [00:04<00:00, 6.30it/s] 100%|██████████| 28/28 [00:04<00:00, 6.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.70it/s] 7%|▋ | 2/28 [00:00<00:03, 6.58it/s] 11%|█ | 3/28 [00:00<00:03, 6.35it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.43it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.31it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.19it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.20it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.22it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.27it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.36it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.30it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.21it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.20it/s] 50%|█████ | 14/28 [00:02<00:02, 6.23it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.24it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.30it/s] 61%|██████ | 17/28 [00:02<00:01, 6.31it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.23it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.20it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.23it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.25it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.29it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.33it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.31it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.31it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.24it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.28it/s] 100%|██████████| 28/28 [00:04<00:00, 6.31it/s] 100%|██████████| 28/28 [00:04<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.33it/s] 7%|▋ | 2/28 [00:00<00:04, 6.48it/s] 11%|█ | 3/28 [00:00<00:03, 6.50it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.50it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.49it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.32it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.20it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.17it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.26it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.30it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.38it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.31it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.21it/s] 50%|█████ | 14/28 [00:02<00:02, 6.22it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.26it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.31it/s] 61%|██████ | 17/28 [00:02<00:01, 6.34it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.33it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.24it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.20it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.18it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.24it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.29it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.27it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.24it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.17it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.25it/s] 100%|██████████| 28/28 [00:04<00:00, 6.29it/s] 100%|██████████| 28/28 [00:04<00:00, 6.29it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.63it/s] 7%|▋ | 2/28 [00:00<00:03, 6.54it/s] 11%|█ | 3/28 [00:00<00:03, 6.53it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.51it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.33it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.18it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.19it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.25it/s] 32%|███▏ | 9/28 [00:01<00:03, 6.33it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.39it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.35it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.25it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.23it/s] 50%|█████ | 14/28 [00:02<00:02, 6.29it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.33it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.36it/s] 61%|██████ | 17/28 [00:02<00:01, 6.32it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.24it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.22it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.25it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.31it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.26it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.24it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.23it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.19it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.21it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.22it/s] 100%|██████████| 28/28 [00:04<00:00, 6.31it/s] 100%|██████████| 28/28 [00:04<00:00, 6.29it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.66it/s] 7%|▋ | 2/28 [00:00<00:03, 6.60it/s] 11%|█ | 3/28 [00:00<00:03, 6.56it/s] 14%|█▍ | 4/28 [00:00<00:03, 6.53it/s] 18%|█▊ | 5/28 [00:00<00:03, 6.39it/s] 21%|██▏ | 6/28 [00:00<00:03, 6.31it/s] 25%|██▌ | 7/28 [00:01<00:03, 6.25it/s] 29%|██▊ | 8/28 [00:01<00:03, 6.28it/s] 32%|███▏ | 9/28 [00:01<00:02, 6.34it/s] 36%|███▌ | 10/28 [00:01<00:02, 6.35it/s] 39%|███▉ | 11/28 [00:01<00:02, 6.31it/s] 43%|████▎ | 12/28 [00:01<00:02, 6.25it/s] 46%|████▋ | 13/28 [00:02<00:02, 6.23it/s] 50%|█████ | 14/28 [00:02<00:02, 6.27it/s] 54%|█████▎ | 15/28 [00:02<00:02, 6.29it/s] 57%|█████▋ | 16/28 [00:02<00:01, 6.31it/s] 61%|██████ | 17/28 [00:02<00:01, 6.28it/s] 64%|██████▍ | 18/28 [00:02<00:01, 6.22it/s] 68%|██████▊ | 19/28 [00:03<00:01, 6.21it/s] 71%|███████▏ | 20/28 [00:03<00:01, 6.25it/s] 75%|███████▌ | 21/28 [00:03<00:01, 6.28it/s] 79%|███████▊ | 22/28 [00:03<00:00, 6.16it/s] 82%|████████▏ | 23/28 [00:03<00:00, 6.24it/s] 86%|████████▌ | 24/28 [00:03<00:00, 6.26it/s] 89%|████████▉ | 25/28 [00:03<00:00, 6.23it/s] 93%|█████████▎| 26/28 [00:04<00:00, 6.26it/s] 96%|█████████▋| 27/28 [00:04<00:00, 6.28it/s] 100%|██████████| 28/28 [00:04<00:00, 6.26it/s] 100%|██████████| 28/28 [00:04<00:00, 6.29it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.