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Sexy Bikinis with Otoko No Ko
otoko-no-ko:v1.0
evevalentine2017
evevalentine2017
·
12/21/2023
368
Input
prompt
Specify things to see in the output
(masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, red long hair, blue eyes, blush, freckles, arched back, (cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, naughty look, looking at viewer, sunset beach background, shiny bikini, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
(girls), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, EasyNegativeV2, child, underage, (more than 1 person), BadNegAnatomyV1-neg, nipples, nsfw, fat
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.
3301673120
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 SDE 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
None
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>
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)
realisticvision-negative-embedding.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BadNegAnatomyV1-neg.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/ddb6a5a190d14b03becfbbe7132d4064/00000-3301673120.webp
https://files.tungsten.run/uploads/18442bd07cbf4af791bbb00484f441a6/00001-3301673121.webp
https://files.tungsten.run/uploads/8940f22c0bcd40de90217615b9250932/00002-3301673122.webp
https://files.tungsten.run/uploads/259d7ec4931b40a6b90b1e394bf307ac/00003-3301673123.webp
Finished in 133.8 seconds
Preparing inputs... Processing... Full prompt: (masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, red long hair, blue eyes, blush, freckles, arched back, (cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, naughty look, looking at viewer, sunset beach background, shiny bikini, <lora:FaceBeauty_qinglong_V3:1.5> Full negative prompt: (girls), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, EasyNegativeV2, child, underage, (more than 1 person), BadNegAnatomyV1-neg, nipples, nsfw, fat 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:07, 1.37s/it] 4%|▍ | 2/50 [00:03<01:17, 1.61s/it] 6%|▌ | 3/50 [00:04<01:14, 1.58s/it] 8%|▊ | 4/50 [00:06<01:16, 1.66s/it] 10%|█ | 5/50 [00:08<01:15, 1.68s/it] 12%|█▏ | 6/50 [00:09<01:14, 1.68s/it] 14%|█▍ | 7/50 [00:11<01:12, 1.69s/it] 16%|█▌ | 8/50 [00:13<01:14, 1.77s/it] 18%|█▊ | 9/50 [00:15<01:13, 1.80s/it] 20%|██ | 10/50 [00:17<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:18<01:10, 1.80s/it] 24%|██▍ | 12/50 [00:20<01:07, 1.78s/it] 26%|██▌ | 13/50 [00:22<01:07, 1.81s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.78s/it] 30%|███ | 15/50 [00:26<01:01, 1.77s/it] 32%|███▏ | 16/50 [00:27<00:59, 1.76s/it] 34%|███▍ | 17/50 [00:29<00:57, 1.75s/it] 36%|███▌ | 18/50 [00:31<00:57, 1.79s/it] 38%|███▊ | 19/50 [00:32<00:53, 1.72s/it] 40%|████ | 20/50 [00:34<00:52, 1.74s/it] 42%|████▏ | 21/50 [00:36<00:50, 1.73s/it] 44%|████▍ | 22/50 [00:38<00:47, 1.71s/it] 46%|████▌ | 23/50 [00:39<00:44, 1.66s/it] 48%|████▊ | 24/50 [00:41<00:44, 1.70s/it] 50%|█████ | 25/50 [00:42<00:40, 1.62s/it] 52%|█████▏ | 26/50 [00:44<00:38, 1.62s/it] 54%|█████▍ | 27/50 [00:46<00:36, 1.60s/it] 56%|█████▌ | 28/50 [00:47<00:36, 1.65s/it] 58%|█████▊ | 29/50 [00:49<00:34, 1.65s/it] 60%|██████ | 30/50 [00:51<00:34, 1.71s/it] 62%|██████▏ | 31/50 [00:52<00:31, 1.64s/it] 64%|██████▍ | 32/50 [00:54<00:28, 1.58s/it] 66%|██████▌ | 33/50 [00:55<00:27, 1.61s/it] 68%|██████▊ | 34/50 [00:57<00:25, 1.57s/it] 70%|███████ | 35/50 [00:58<00:23, 1.57s/it] 72%|███████▏ | 36/50 [01:00<00:20, 1.49s/it] 74%|███████▍ | 37/50 [01:01<00:18, 1.43s/it] 76%|███████▌ | 38/50 [01:02<00:16, 1.41s/it] 78%|███████▊ | 39/50 [01:04<00:16, 1.48s/it] 80%|████████ | 40/50 [01:06<00:14, 1.47s/it] 82%|████████▏ | 41/50 [01:07<00:13, 1.55s/it] 84%|████████▍ | 42/50 [01:09<00:12, 1.51s/it] 86%|████████▌ | 43/50 [01:10<00:10, 1.49s/it] 88%|████████▊ | 44/50 [01:12<00:09, 1.54s/it] 90%|█████████ | 45/50 [01:13<00:07, 1.51s/it] 92%|█████████▏| 46/50 [01:15<00:05, 1.46s/it] 94%|█████████▍| 47/50 [01:16<00:04, 1.40s/it] 96%|█████████▌| 48/50 [01:17<00:02, 1.40s/it] 98%|█████████▊| 49/50 [01:18<00:01, 1.20s/it] 100%|██████████| 50/50 [01:19<00:00, 1.02s/it] 100%|██████████| 50/50 [01:19<00:00, 1.58s/it] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.01s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:18, 1.45it/s] 7%|▋ | 2/28 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93%|█████████▎| 26/28 [00:11<00:00, 2.43it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.79it/s] 100%|██████████| 28/28 [00:12<00:00, 3.21it/s] 100%|██████████| 28/28 [00:12<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.19it/s] 7%|▋ | 2/28 [00:00<00:12, 2.07it/s] 11%|█ | 3/28 [00:01<00:11, 2.21it/s] 14%|█▍ | 4/28 [00:01<00:11, 2.16it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.17it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.09it/s] 25%|██▌ | 7/28 [00:03<00:10, 2.09it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.01it/s] 32%|███▏ | 9/28 [00:04<00:09, 2.10it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.15it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.14it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.18it/s] 46%|████▋ | 13/28 [00:06<00:06, 2.18it/s] 50%|█████ | 14/28 [00:06<00:06, 2.30it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.34it/s] 57%|█████▋ | 16/28 [00:07<00:05, 2.38it/s] 61%|██████ | 17/28 [00:07<00:04, 2.27it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.27it/s] 68%|██████▊ | 19/28 [00:08<00:04, 2.16it/s] 71%|███████▏ | 20/28 [00:09<00:03, 2.24it/s] 75%|███████▌ | 21/28 [00:09<00:03, 2.28it/s] 79%|███████▊ | 22/28 [00:10<00:02, 2.22it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.27it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.32it/s] 89%|████████▉ | 25/28 [00:11<00:01, 2.42it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.41it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.75it/s] 100%|██████████| 28/28 [00:12<00:00, 3.17it/s] 100%|██████████| 28/28 [00:12<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.21it/s] 7%|▋ | 2/28 [00:00<00:12, 2.08it/s] 11%|█ | 3/28 [00:01<00:11, 2.23it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.22it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.23it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.14it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.16it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.06it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.13it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.20it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.18it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.23it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.22it/s] 50%|█████ | 14/28 [00:06<00:06, 2.31it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.40it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.40it/s] 61%|██████ | 17/28 [00:07<00:04, 2.32it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.34it/s] 68%|██████▊ | 19/28 [00:08<00:04, 2.25it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.28it/s] 75%|███████▌ | 21/28 [00:09<00:03, 2.32it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.25it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.28it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.38it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.47it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.46it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.81it/s] 100%|██████████| 28/28 [00:11<00:00, 3.21it/s] 100%|██████████| 28/28 [00:11<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.14it/s] 7%|▋ | 2/28 [00:00<00:12, 2.05it/s] 11%|█ | 3/28 [00:01<00:11, 2.20it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.21it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.21it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.15it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.13it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.05it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.15it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.18it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.16it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.22it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.22it/s] 50%|█████ | 14/28 [00:06<00:06, 2.31it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.39it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.41it/s] 61%|██████ | 17/28 [00:07<00:04, 2.25it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.28it/s] 68%|██████▊ | 19/28 [00:08<00:04, 2.20it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.28it/s] 75%|███████▌ | 21/28 [00:09<00:03, 2.33it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.28it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.34it/s] 89%|████████▉ | 25/28 [00:11<00:01, 2.45it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.44it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.78it/s] 100%|██████████| 28/28 [00:11<00:00, 3.19it/s] 100%|██████████| 28/28 [00:11<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, red long hair, blue eyes, blush, freckles, arched back, (cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, naughty look, looking at viewer, sunset beach background, shiny bikini, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
(girls), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, EasyNegativeV2, child, underage, (more than 1 person), BadNegAnatomyV1-neg, nipples, nsfw, fat
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.
3301673120
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 SDE 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
None
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>
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)
realisticvision-negative-embedding.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BadNegAnatomyV1-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/ddb6a5a190d14b03becfbbe7132d4064/00000-3301673120.webp
https://files.tungsten.run/uploads/18442bd07cbf4af791bbb00484f441a6/00001-3301673121.webp
https://files.tungsten.run/uploads/8940f22c0bcd40de90217615b9250932/00002-3301673122.webp
https://files.tungsten.run/uploads/259d7ec4931b40a6b90b1e394bf307ac/00003-3301673123.webp
Finished in 133.8 seconds
Preparing inputs... Processing... Full prompt: (masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, red long hair, blue eyes, blush, freckles, arched back, (cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, naughty look, looking at viewer, sunset beach background, shiny bikini, <lora:FaceBeauty_qinglong_V3:1.5> Full negative prompt: (girls), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, EasyNegativeV2, child, underage, (more than 1 person), BadNegAnatomyV1-neg, nipples, nsfw, fat 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:07, 1.37s/it] 4%|▍ | 2/50 [00:03<01:17, 1.61s/it] 6%|▌ | 3/50 [00:04<01:14, 1.58s/it] 8%|▊ | 4/50 [00:06<01:16, 1.66s/it] 10%|█ | 5/50 [00:08<01:15, 1.68s/it] 12%|█▏ | 6/50 [00:09<01:14, 1.68s/it] 14%|█▍ | 7/50 [00:11<01:12, 1.69s/it] 16%|█▌ | 8/50 [00:13<01:14, 1.77s/it] 18%|█▊ | 9/50 [00:15<01:13, 1.80s/it] 20%|██ | 10/50 [00:17<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:18<01:10, 1.80s/it] 24%|██▍ | 12/50 [00:20<01:07, 1.78s/it] 26%|██▌ | 13/50 [00:22<01:07, 1.81s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.78s/it] 30%|███ | 15/50 [00:26<01:01, 1.77s/it] 32%|███▏ | 16/50 [00:27<00:59, 1.76s/it] 34%|███▍ | 17/50 [00:29<00:57, 1.75s/it] 36%|███▌ | 18/50 [00:31<00:57, 1.79s/it] 38%|███▊ | 19/50 [00:32<00:53, 1.72s/it] 40%|████ | 20/50 [00:34<00:52, 1.74s/it] 42%|████▏ | 21/50 [00:36<00:50, 1.73s/it] 44%|████▍ | 22/50 [00:38<00:47, 1.71s/it] 46%|████▌ | 23/50 [00:39<00:44, 1.66s/it] 48%|████▊ | 24/50 [00:41<00:44, 1.70s/it] 50%|█████ | 25/50 [00:42<00:40, 1.62s/it] 52%|█████▏ | 26/50 [00:44<00:38, 1.62s/it] 54%|█████▍ | 27/50 [00:46<00:36, 1.60s/it] 56%|█████▌ | 28/50 [00:47<00:36, 1.65s/it] 58%|█████▊ | 29/50 [00:49<00:34, 1.65s/it] 60%|██████ | 30/50 [00:51<00:34, 1.71s/it] 62%|██████▏ | 31/50 [00:52<00:31, 1.64s/it] 64%|██████▍ | 32/50 [00:54<00:28, 1.58s/it] 66%|██████▌ | 33/50 [00:55<00:27, 1.61s/it] 68%|██████▊ | 34/50 [00:57<00:25, 1.57s/it] 70%|███████ | 35/50 [00:58<00:23, 1.57s/it] 72%|███████▏ | 36/50 [01:00<00:20, 1.49s/it] 74%|███████▍ | 37/50 [01:01<00:18, 1.43s/it] 76%|███████▌ | 38/50 [01:02<00:16, 1.41s/it] 78%|███████▊ | 39/50 [01:04<00:16, 1.48s/it] 80%|████████ | 40/50 [01:06<00:14, 1.47s/it] 82%|████████▏ | 41/50 [01:07<00:13, 1.55s/it] 84%|████████▍ | 42/50 [01:09<00:12, 1.51s/it] 86%|████████▌ | 43/50 [01:10<00:10, 1.49s/it] 88%|████████▊ | 44/50 [01:12<00:09, 1.54s/it] 90%|█████████ | 45/50 [01:13<00:07, 1.51s/it] 92%|█████████▏| 46/50 [01:15<00:05, 1.46s/it] 94%|█████████▍| 47/50 [01:16<00:04, 1.40s/it] 96%|█████████▌| 48/50 [01:17<00:02, 1.40s/it] 98%|█████████▊| 49/50 [01:18<00:01, 1.20s/it] 100%|██████████| 50/50 [01:19<00:00, 1.02s/it] 100%|██████████| 50/50 [01:19<00:00, 1.58s/it] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.01s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:18, 1.45it/s] 7%|▋ | 2/28 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93%|█████████▎| 26/28 [00:11<00:00, 2.43it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.79it/s] 100%|██████████| 28/28 [00:12<00:00, 3.21it/s] 100%|██████████| 28/28 [00:12<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.19it/s] 7%|▋ | 2/28 [00:00<00:12, 2.07it/s] 11%|█ | 3/28 [00:01<00:11, 2.21it/s] 14%|█▍ | 4/28 [00:01<00:11, 2.16it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.17it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.09it/s] 25%|██▌ | 7/28 [00:03<00:10, 2.09it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.01it/s] 32%|███▏ | 9/28 [00:04<00:09, 2.10it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.15it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.14it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.18it/s] 46%|████▋ | 13/28 [00:06<00:06, 2.18it/s] 50%|█████ | 14/28 [00:06<00:06, 2.30it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.34it/s] 57%|█████▋ | 16/28 [00:07<00:05, 2.38it/s] 61%|██████ | 17/28 [00:07<00:04, 2.27it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.27it/s] 68%|██████▊ | 19/28 [00:08<00:04, 2.16it/s] 71%|███████▏ | 20/28 [00:09<00:03, 2.24it/s] 75%|███████▌ | 21/28 [00:09<00:03, 2.28it/s] 79%|███████▊ | 22/28 [00:10<00:02, 2.22it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.27it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.32it/s] 89%|████████▉ | 25/28 [00:11<00:01, 2.42it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.41it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.75it/s] 100%|██████████| 28/28 [00:12<00:00, 3.17it/s] 100%|██████████| 28/28 [00:12<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.21it/s] 7%|▋ | 2/28 [00:00<00:12, 2.08it/s] 11%|█ | 3/28 [00:01<00:11, 2.23it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.22it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.23it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.14it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.16it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.06it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.13it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.20it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.18it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.23it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.22it/s] 50%|█████ | 14/28 [00:06<00:06, 2.31it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.40it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.40it/s] 61%|██████ | 17/28 [00:07<00:04, 2.32it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.34it/s] 68%|██████▊ | 19/28 [00:08<00:04, 2.25it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.28it/s] 75%|███████▌ | 21/28 [00:09<00:03, 2.32it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.25it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.28it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.38it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.47it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.46it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.81it/s] 100%|██████████| 28/28 [00:11<00:00, 3.21it/s] 100%|██████████| 28/28 [00:11<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.14it/s] 7%|▋ | 2/28 [00:00<00:12, 2.05it/s] 11%|█ | 3/28 [00:01<00:11, 2.20it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.21it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.21it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.15it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.13it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.05it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.15it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.18it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.16it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.22it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.22it/s] 50%|█████ | 14/28 [00:06<00:06, 2.31it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.39it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.41it/s] 61%|██████ | 17/28 [00:07<00:04, 2.25it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.28it/s] 68%|██████▊ | 19/28 [00:08<00:04, 2.20it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.28it/s] 75%|███████▌ | 21/28 [00:09<00:03, 2.33it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.28it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.34it/s] 89%|████████▉ | 25/28 [00:11<00:01, 2.45it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.44it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.78it/s] 100%|██████████| 28/28 [00:11<00:00, 3.19it/s] 100%|██████████| 28/28 [00:11<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.