Bodysuits with Find & Forget You
Input
prompt
Specify things to see in the output
(masterpiece, best quality, highres, high resolution:1.2), extremely detailed, realistic, intricate details, 1girl, solo, looking at viewer, cowboy shot, standing, hm2b, light blue eyes, clothing cutout, long sleeves, puffy sleeves, juliet sleeves, feather trim, black thighhighs, black gloves, covered navel, (white_leotard:1.2), <lora:y2b_v2-1:1>, outdoors, dystopian, ruined city, (cinematic lighting, bloom, volumetric), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
515021520
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
8.5
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/7563be197f0e436aa387cba41c52fa2a/00000-515021520.png
https://files.tungsten.run/uploads/28ddd7dc819e436d9969e00a2f2bbc36/00001-515021521.png
https://files.tungsten.run/uploads/ef66f6c1d2024fbdb01aa0dac3c363b9/00002-515021522.png
https://files.tungsten.run/uploads/78c4f682317244b29eef3ab579e164a9/00003-515021523.png
Finished in 95.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece, best quality, highres, high resolution:1.2), extremely detailed, realistic, intricate details, 1girl, solo, looking at viewer, cowboy shot, standing, hm2b, light blue eyes, clothing cutout, long sleeves, puffy sleeves, juliet sleeves, feather trim, black thighhighs, black gloves, covered navel, (white_leotard:1.2), <lora:y2b_v2-1:1>, outdoors, dystopian, ruined city, (cinematic lighting, bloom, volumetric), <lora:FaceBeauty_qinglong_V3:1>, (ultra realistic:1.5), (ultra detailed:1.5), (masterpiece:1.5), (top quality:1.5) Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest Couldn't find network with name y2b_v2-1 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:29, 1.65it/s] 4%|▍ | 2/50 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28/28 [00:05<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.97it/s] 7%|▋ | 2/28 [00:00<00:05, 4.89it/s] 11%|█ | 3/28 [00:00<00:05, 4.89it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.91it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.75it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.82it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.78it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.81it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.86it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.80it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.82it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.84it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.85it/s] 50%|█████ | 14/28 [00:02<00:02, 4.86it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.76it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.80it/s] 61%|██████ | 17/28 [00:03<00:02, 4.85it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.90it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.94it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.97it/s] 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prompt
Specify things to see in the output
(masterpiece, best quality, highres, high resolution:1.2), extremely detailed, realistic, intricate details, 1girl, solo, looking at viewer, cowboy shot, standing, hm2b, light blue eyes, clothing cutout, long sleeves, puffy sleeves, juliet sleeves, feather trim, black thighhighs, black gloves, covered navel, (white_leotard:1.2), <lora:y2b_v2-1:1>, outdoors, dystopian, ruined city, (cinematic lighting, bloom, volumetric), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
515021520
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
8.5
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/7563be197f0e436aa387cba41c52fa2a/00000-515021520.png
https://files.tungsten.run/uploads/28ddd7dc819e436d9969e00a2f2bbc36/00001-515021521.png
https://files.tungsten.run/uploads/ef66f6c1d2024fbdb01aa0dac3c363b9/00002-515021522.png
https://files.tungsten.run/uploads/78c4f682317244b29eef3ab579e164a9/00003-515021523.png
Finished in 95.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece, best quality, highres, high resolution:1.2), extremely detailed, realistic, intricate details, 1girl, solo, looking at viewer, cowboy shot, standing, hm2b, light blue eyes, clothing cutout, long sleeves, puffy sleeves, juliet sleeves, feather trim, black thighhighs, black gloves, covered navel, (white_leotard:1.2), <lora:y2b_v2-1:1>, outdoors, dystopian, ruined city, (cinematic lighting, bloom, volumetric), <lora:FaceBeauty_qinglong_V3:1>, (ultra realistic:1.5), (ultra detailed:1.5), (masterpiece:1.5), (top quality:1.5) Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest Couldn't find network with name y2b_v2-1 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:29, 1.65it/s] 4%|▍ | 2/50 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[00:31<00:00, 1.56it/s] 100%|██████████| 50/50 [00:31<00:00, 1.56it/s] 100%|██████████| 50/50 [00:31<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.01s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.85it/s] 7%|▋ | 2/28 [00:00<00:05, 4.93it/s] 11%|█ | 3/28 [00:00<00:05, 4.92it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.90it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.91it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.85it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.86it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.87it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.88it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.89it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.70it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.74it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.79it/s] 50%|█████ | 14/28 [00:02<00:02, 4.83it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.83it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.76it/s] 61%|██████ | 17/28 [00:03<00:02, 4.83it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.89it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.91it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.91it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.74it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.77it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.80it/s] 86%|████████▌ | 24/28 [00:04<00:00, 4.85it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.85it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.83it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.85it/s] 100%|██████████| 28/28 [00:05<00:00, 4.88it/s] 100%|██████████| 28/28 [00:05<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.97it/s] 7%|▋ | 2/28 [00:00<00:05, 4.99it/s] 11%|█ | 3/28 [00:00<00:05, 4.98it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.84it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.77it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.73it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.81it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.85it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.88it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.91it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.95it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.99it/s] 46%|████▋ | 13/28 [00:02<00:02, 5.01it/s] 50%|█████ | 14/28 [00:02<00:02, 4.91it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.88it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.89it/s] 61%|██████ | 17/28 [00:03<00:02, 4.91it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.91it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.80it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.87it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.90it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.93it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.93it/s] 86%|████████▌ | 24/28 [00:04<00:00, 4.88it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.89it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.92it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.93it/s] 100%|██████████| 28/28 [00:05<00:00, 4.90it/s] 100%|██████████| 28/28 [00:05<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.83it/s] 7%|▋ | 2/28 [00:00<00:05, 4.91it/s] 11%|█ | 3/28 [00:00<00:05, 4.84it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.87it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.88it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.89it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.90it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.87it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.90it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.93it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.94it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.93it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.90it/s] 50%|█████ | 14/28 [00:02<00:02, 4.93it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.95it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.98it/s] 61%|██████ | 17/28 [00:03<00:02, 4.99it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.93it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.93it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.94it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.94it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.95it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.97it/s] 86%|████████▌ | 24/28 [00:04<00:00, 4.81it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.87it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.91it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.91it/s] 100%|██████████| 28/28 [00:05<00:00, 4.92it/s] 100%|██████████| 28/28 [00:05<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.93it/s] 7%|▋ | 2/28 [00:00<00:05, 4.93it/s] 11%|█ | 3/28 [00:00<00:05, 4.96it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.94it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.80it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.85it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.90it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.92it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.91it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.87it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.90it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.91it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.92it/s] 50%|█████ | 14/28 [00:02<00:02, 4.94it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.95it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.97it/s] 61%|██████ | 17/28 [00:03<00:02, 4.96it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.98it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.98it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.99it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.98it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.96it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.93it/s] 86%|████████▌ | 24/28 [00:04<00:00, 4.92it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.85it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.85it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.87it/s] 100%|██████████| 28/28 [00:05<00:00, 4.84it/s] 100%|██████████| 28/28 [00:05<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.91it/s] 7%|▋ | 2/28 [00:00<00:05, 4.98it/s] 11%|█ | 3/28 [00:00<00:05, 4.90it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.95it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.96it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.92it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.92it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.74it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.80it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.84it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.88it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.88it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.86it/s] 50%|█████ | 14/28 [00:02<00:02, 4.89it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.91it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.92it/s] 61%|██████ | 17/28 [00:03<00:02, 4.87it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.79it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.83it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.85it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.87it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.88it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.73it/s] 86%|████████▌ | 24/28 [00:04<00:00, 4.76it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.78it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.77it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.81it/s] 100%|██████████| 28/28 [00:05<00:00, 4.78it/s] 100%|██████████| 28/28 [00:05<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.97it/s] 7%|▋ | 2/28 [00:00<00:05, 4.89it/s] 11%|█ | 3/28 [00:00<00:05, 4.89it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.91it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.75it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.82it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.78it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.81it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.86it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.80it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.82it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.84it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.85it/s] 50%|█████ | 14/28 [00:02<00:02, 4.86it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.76it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.80it/s] 61%|██████ | 17/28 [00:03<00:02, 4.85it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.90it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.94it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.97it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.98it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.99it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.99it/s] 86%|████████▌ | 24/28 [00:04<00:00, 5.01it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.95it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.97it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.97it/s] 100%|██████████| 28/28 [00:05<00:00, 4.97it/s] 100%|██████████| 28/28 [00:05<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.87it/s] 7%|▋ | 2/28 [00:00<00:05, 4.80it/s] 11%|█ | 3/28 [00:00<00:05, 4.84it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.87it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.87it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.87it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.82it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.86it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.88it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.91it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.94it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.85it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.89it/s] 50%|█████ | 14/28 [00:02<00:02, 4.88it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.89it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.90it/s] 61%|██████ | 17/28 [00:03<00:02, 4.88it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.90it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.92it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.92it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.92it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.83it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.79it/s] 86%|████████▌ | 24/28 [00:04<00:00, 4.84it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.84it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.85it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.85it/s] 100%|██████████| 28/28 [00:05<00:00, 4.87it/s] 100%|██████████| 28/28 [00:05<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.95it/s] 7%|▋ | 2/28 [00:00<00:05, 4.97it/s] 11%|█ | 3/28 [00:00<00:05, 4.98it/s] 14%|█▍ | 4/28 [00:00<00:04, 4.81it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.83it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.86it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.88it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.91it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.93it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.95it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.94it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.93it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.93it/s] 50%|█████ | 14/28 [00:02<00:02, 4.82it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.82it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.82it/s] 61%|██████ | 17/28 [00:03<00:02, 4.87it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.90it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.86it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.88it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.91it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.93it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.95it/s] 86%|████████▌ | 24/28 [00:04<00:00, 4.76it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.81it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.84it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.87it/s] 100%|██████████| 28/28 [00:05<00:00, 4.89it/s] 100%|██████████| 28/28 [00:05<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name y2b_v2-1 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:05, 4.62it/s] 7%|▋ | 2/28 [00:00<00:05, 4.58it/s] 11%|█ | 3/28 [00:00<00:05, 4.73it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.71it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.77it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.78it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.73it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.74it/s] 32%|███▏ | 9/28 [00:01<00:03, 4.80it/s] 36%|███▌ | 10/28 [00:02<00:03, 4.81it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.76it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.70it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.74it/s] 50%|█████ | 14/28 [00:02<00:02, 4.81it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.85it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.85it/s] 61%|██████ | 17/28 [00:03<00:02, 4.82it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.84it/s] 68%|██████▊ | 19/28 [00:03<00:01, 4.87it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.88it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.88it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.77it/s] 82%|████████▏ | 23/28 [00:04<00:01, 4.73it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.76it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.82it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.81it/s] 96%|█████████▋| 27/28 [00:05<00:00, 4.86it/s] 100%|██████████| 28/28 [00:05<00:00, 4.91it/s] 100%|██████████| 28/28 [00:05<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.