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Golden Bikinis with Cybersushi
cybersushi:e00fa67
evevalentine2017
evevalentine2017
·
Jan 4
357
Input
prompt
Specify things to see in the output
cowboy shot, golden bikini, night beach party, saturated, cinematic render, light in the face, real skin texture, lens glare, extremery detailed cg, vivid palette, screen space global illumination, hand of guido daniele, girlface, high resolution scan, beautiful female bodies, rich saturation, aesthetics, saturated colors, intricate eyes, explosive light and shadow, textile details, colorful refraction, aerial perspective, bold hues, detail character, golden ratio face, luscious lips, available light, bloom effect, award-winning glamour photograph, proper body proportion, diffuse lighting, <lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
nipples, nsfw, bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg
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
0.45
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.
1549882917
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
30
cfg_scale
Scale for classifier-free guidance
8
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>
more_details.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)
negative_hand-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
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/33ae2c1959334c5f896d06dda1f7b5ef/00000-1549882917.webp
https://files.tungsten.run/uploads/5f6785099c6f4fe8ae66d58b8f686b2e/00001-1549882918.webp
https://files.tungsten.run/uploads/ea661e7347644689a1ea453f59714e8d/00002-1549882919.webp
https://files.tungsten.run/uploads/de303bda060749c59cbaf6a601af0ad2/00003-1549882920.webp
Finished in 61.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: cowboy shot, golden bikini, night beach party, saturated, cinematic render, light in the face, real skin texture, lens glare, extremery detailed cg, vivid palette, screen space global illumination, hand of guido daniele, girlface, high resolution scan, beautiful female bodies, rich saturation, aesthetics, saturated colors, intricate eyes, explosive light and shadow, textile details, colorful refraction, aerial perspective, bold hues, detail character, golden ratio face, luscious lips, available light, bloom effect, award-winning glamour photograph, proper body proportion, diffuse lighting, <lora:more_details:0.8> Full negative prompt: nipples, nsfw, bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:17, 1.62it/s] 7%|▋ | 2/30 [00:01<00:17, 1.58it/s] 10%|█ | 3/30 [00:01<00:17, 1.58it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.57it/s] 17%|█▋ | 5/30 [00:03<00:15, 1.57it/s] 20%|██ | 6/30 [00:03<00:15, 1.57it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.56it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.56it/s] 30%|███ | 9/30 [00:05<00:13, 1.56it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.56it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.56it/s] 40%|████ | 12/30 [00:07<00:11, 1.56it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.56it/s] 47%|████▋ | 14/30 [00:08<00:10, 1.56it/s] 50%|█████ | 15/30 [00:09<00:09, 1.56it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.56it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.55it/s] 60%|██████ | 18/30 [00:11<00:07, 1.55it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.55it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.55it/s] 70%|███████ | 21/30 [00:13<00:05, 1.55it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.56it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.56it/s] 80%|████████ | 24/30 [00:15<00:03, 1.56it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.55it/s] 87%|████████▋ | 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4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.91it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.92it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.96it/s] 29%|██▊ | 4/14 [00:00<00:02, 5.00it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.93it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.99it/s] 50%|█████ | 7/14 [00:01<00:01, 5.02it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.01it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.01it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.97it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.99it/s] 86%|████████▌ | 12/14 [00:02<00:00, 5.03it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.02it/s] 100%|██████████| 14/14 [00:02<00:00, 5.01it/s] 100%|██████████| 14/14 [00:02<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.97it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.95it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.93it/s] 29%|██▊ | 4/14 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[00:02<00:00, 4.88it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.89it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.93it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.97it/s] 100%|██████████| 14/14 [00:02<00:00, 5.00it/s] 100%|██████████| 14/14 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.90it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.82it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.92it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.97it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.97it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.97it/s] 50%|█████ | 7/14 [00:01<00:01, 4.92it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.93it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.91it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.91it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.93it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.82it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.91it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.07it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.75it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.86it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.79it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.89it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.94it/s] 50%|█████ | 7/14 [00:01<00:01, 4.98it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.01it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.96it/s] 71%|███████▏ | 10/14 [00:02<00:00, 5.00it/s] 79%|███████▊ | 11/14 [00:02<00:00, 5.03it/s] 86%|████████▌ | 12/14 [00:02<00:00, 5.03it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.02it/s] 100%|██████████| 14/14 [00:02<00:00, 4.90it/s] 100%|██████████| 14/14 [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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.85it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.95it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.95it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.96it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.97it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.95it/s] 50%|█████ | 7/14 [00:01<00:01, 4.98it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.01it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.00it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.98it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.90it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.94it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.98it/s] 100%|██████████| 14/14 [00:02<00:00, 5.00it/s] 100%|██████████| 14/14 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.76it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.80it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.85it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.84it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.87it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.89it/s] 50%|█████ | 7/14 [00:01<00:01, 4.91it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.92it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.87it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.89it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.90it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.87it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.88it/s] 100%|██████████| 14/14 [00:02<00:00, 4.82it/s] 100%|██████████| 14/14 [00:02<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.94it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.96it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.00it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.00it/s] 36%|███▌ | 5/14 [00:01<00:01, 5.01it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.95it/s] 50%|█████ | 7/14 [00:01<00:01, 4.99it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.99it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.98it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.96it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.93it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.95it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.99it/s] 100%|██████████| 14/14 [00:02<00:00, 5.02it/s] 100%|██████████| 14/14 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.98it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.01it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.87it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.94it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.99it/s] 43%|████▎ | 6/14 [00:01<00:01, 5.01it/s] 50%|█████ | 7/14 [00:01<00:01, 5.01it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.96it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.99it/s] 71%|███████▏ | 10/14 [00:02<00:00, 5.01it/s] 79%|███████▊ | 11/14 [00:02<00:00, 5.02it/s] 86%|████████▌ | 12/14 [00:02<00:00, 5.05it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.01it/s] 100%|██████████| 14/14 [00:02<00:00, 5.05it/s] 100%|██████████| 14/14 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.76it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.92it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.94it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.96it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.96it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.92it/s] 50%|█████ | 7/14 [00:01<00:01, 4.89it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.90it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.84it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.91it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.92it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.95it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.93it/s] 100%|██████████| 14/14 [00:02<00:00, 4.91it/s] 100%|██████████| 14/14 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
cowboy shot, golden bikini, night beach party, saturated, cinematic render, light in the face, real skin texture, lens glare, extremery detailed cg, vivid palette, screen space global illumination, hand of guido daniele, girlface, high resolution scan, beautiful female bodies, rich saturation, aesthetics, saturated colors, intricate eyes, explosive light and shadow, textile details, colorful refraction, aerial perspective, bold hues, detail character, golden ratio face, luscious lips, available light, bloom effect, award-winning glamour photograph, proper body proportion, diffuse lighting, <lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
nipples, nsfw, bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg
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
0.45
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.
1549882917
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
30
cfg_scale
Scale for classifier-free guidance
8
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>
more_details.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)
negative_hand-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
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/33ae2c1959334c5f896d06dda1f7b5ef/00000-1549882917.webp
https://files.tungsten.run/uploads/5f6785099c6f4fe8ae66d58b8f686b2e/00001-1549882918.webp
https://files.tungsten.run/uploads/ea661e7347644689a1ea453f59714e8d/00002-1549882919.webp
https://files.tungsten.run/uploads/de303bda060749c59cbaf6a601af0ad2/00003-1549882920.webp
Finished in 61.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: cowboy shot, golden bikini, night beach party, saturated, cinematic render, light in the face, real skin texture, lens glare, extremery detailed cg, vivid palette, screen space global illumination, hand of guido daniele, girlface, high resolution scan, beautiful female bodies, rich saturation, aesthetics, saturated colors, intricate eyes, explosive light and shadow, textile details, colorful refraction, aerial perspective, bold hues, detail character, golden ratio face, luscious lips, available light, bloom effect, award-winning glamour photograph, proper body proportion, diffuse lighting, <lora:more_details:0.8> Full negative prompt: nipples, nsfw, bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:17, 1.62it/s] 7%|▋ | 2/30 [00:01<00:17, 1.58it/s] 10%|█ | 3/30 [00:01<00:17, 1.58it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.57it/s] 17%|█▋ | 5/30 [00:03<00:15, 1.57it/s] 20%|██ | 6/30 [00:03<00:15, 1.57it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.56it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.56it/s] 30%|███ | 9/30 [00:05<00:13, 1.56it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.56it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.56it/s] 40%|████ | 12/30 [00:07<00:11, 1.56it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.56it/s] 47%|████▋ | 14/30 [00:08<00:10, 1.56it/s] 50%|█████ | 15/30 [00:09<00:09, 1.56it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.56it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.55it/s] 60%|██████ | 18/30 [00:11<00:07, 1.55it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.55it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.55it/s] 70%|███████ | 21/30 [00:13<00:05, 1.55it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.56it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.56it/s] 80%|████████ | 24/30 [00:15<00:03, 1.56it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.55it/s] 87%|████████▋ | 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4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.91it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.92it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.96it/s] 29%|██▊ | 4/14 [00:00<00:02, 5.00it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.93it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.99it/s] 50%|█████ | 7/14 [00:01<00:01, 5.02it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.01it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.01it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.97it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.99it/s] 86%|████████▌ | 12/14 [00:02<00:00, 5.03it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.02it/s] 100%|██████████| 14/14 [00:02<00:00, 5.01it/s] 100%|██████████| 14/14 [00:02<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.97it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.95it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.93it/s] 29%|██▊ | 4/14 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[00:02<00:00, 4.88it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.89it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.93it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.97it/s] 100%|██████████| 14/14 [00:02<00:00, 5.00it/s] 100%|██████████| 14/14 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.90it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.82it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.92it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.97it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.97it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.97it/s] 50%|█████ | 7/14 [00:01<00:01, 4.92it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.93it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.91it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.91it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.93it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.82it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.91it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.07it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.75it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.86it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.79it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.89it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.94it/s] 50%|█████ | 7/14 [00:01<00:01, 4.98it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.01it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.96it/s] 71%|███████▏ | 10/14 [00:02<00:00, 5.00it/s] 79%|███████▊ | 11/14 [00:02<00:00, 5.03it/s] 86%|████████▌ | 12/14 [00:02<00:00, 5.03it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.02it/s] 100%|██████████| 14/14 [00:02<00:00, 4.90it/s] 100%|██████████| 14/14 [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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.85it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.95it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.95it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.96it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.97it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.95it/s] 50%|█████ | 7/14 [00:01<00:01, 4.98it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.01it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.00it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.98it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.90it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.94it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.98it/s] 100%|██████████| 14/14 [00:02<00:00, 5.00it/s] 100%|██████████| 14/14 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.76it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.80it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.85it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.84it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.87it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.89it/s] 50%|█████ | 7/14 [00:01<00:01, 4.91it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.92it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.87it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.89it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.90it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.87it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.88it/s] 100%|██████████| 14/14 [00:02<00:00, 4.82it/s] 100%|██████████| 14/14 [00:02<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.94it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.96it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.00it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.00it/s] 36%|███▌ | 5/14 [00:01<00:01, 5.01it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.95it/s] 50%|█████ | 7/14 [00:01<00:01, 4.99it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.99it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.98it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.96it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.93it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.95it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.99it/s] 100%|██████████| 14/14 [00:02<00:00, 5.02it/s] 100%|██████████| 14/14 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.98it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.01it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.87it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.94it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.99it/s] 43%|████▎ | 6/14 [00:01<00:01, 5.01it/s] 50%|█████ | 7/14 [00:01<00:01, 5.01it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.96it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.99it/s] 71%|███████▏ | 10/14 [00:02<00:00, 5.01it/s] 79%|███████▊ | 11/14 [00:02<00:00, 5.02it/s] 86%|████████▌ | 12/14 [00:02<00:00, 5.05it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.01it/s] 100%|██████████| 14/14 [00:02<00:00, 5.05it/s] 100%|██████████| 14/14 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.76it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.92it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.94it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.96it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.96it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.92it/s] 50%|█████ | 7/14 [00:01<00:01, 4.89it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.90it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.84it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.91it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.92it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.95it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.93it/s] 100%|██████████| 14/14 [00:02<00:00, 4.91it/s] 100%|██████████| 14/14 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.