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Cutie Sitting on the Grass with Vinava AM
vinava-am:v1.0
evevalentine2017
evevalentine2017
·
Jan 2
357
Input
prompt
Specify things to see in the output
(masterpiece, best quality), aging gracefully, builky, 1 girl, (ultra long pink hair), (red eyes:1.2), high-tech metropolis, (white panties show:1.5), (schoolgirl outfit:1.3), (sitting on grass pose:1.5), tiny breasts, ((up green skirt:1.3)), is a celebration of color, combining the organic with the digital, and the tranquility of nature with the pulsating life of an urban landscape, (smile face:1.5), <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
more than 2 legs, more than 2 feet, more than 2 shoes, tail, nude, topless, nipples, nsfw, By bad artist -neg, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, watermark, text, bad hands, poorly drawn hands
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
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0.2
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
945683904
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
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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)
By bad artist -neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.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/c890275c95a743b7b5e91920430ecac0/00000-945683904.webp
https://files.tungsten.run/uploads/2a26846e49964abd892cd37e04c068dc/00001-945683905.webp
https://files.tungsten.run/uploads/f67c7d4c845b4bbdbe0b19493e6f2311/00002-945683906.webp
https://files.tungsten.run/uploads/137cd4f6949e4071b648e8d2c3f0b140/00003-945683907.webp
Finished in 39.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, best quality), aging gracefully, builky, 1 girl, (ultra long pink hair), (red eyes:1.2), high-tech metropolis, (white panties show:1.5), (schoolgirl outfit:1.3), (sitting on grass pose:1.5), tiny breasts, ((up green skirt:1.3)), is a celebration of color, combining the organic with the digital, and the tranquility of nature with the pulsating life of an urban landscape, (smile face:1.5), <lora:more_details:0.7>, <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2> Full negative prompt: more than 2 legs, more than 2 feet, more than 2 shoes, tail, nude, topless, nipples, nsfw, By bad artist -neg, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, watermark, text, bad hands, poorly drawn hands 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, 1.56it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.56it/s] 20%|██ | 6/30 [00:03<00:15, 1.56it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.55it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.55it/s] 30%|███ | 9/30 [00:05<00:13, 1.55it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.55it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.55it/s] 40%|████ | 12/30 [00:07<00:11, 1.54it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.54it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.54it/s] 50%|█████ | 15/30 [00:09<00:09, 1.54it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.54it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.54it/s] 60%|██████ | 18/30 [00:11<00:07, 1.54it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.54it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.54it/s] 70%|███████ | 21/30 [00:13<00:05, 1.55it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.55it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.55it/s] 80%|████████ | 24/30 [00:15<00:03, 1.55it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.55it/s] 87%|████████▋ | 26/30 [00:16<00:02, 1.55it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.55it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.55it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.01s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.73it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.93it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.01it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.04it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.05it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.98it/s] 41%|████ | 7/17 [00:01<00:01, 5.02it/s] 47%|████▋ | 8/17 [00:01<00:01, 5.04it/s] 53%|█████▎ | 9/17 [00:01<00:01, 5.04it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.99it/s] 65%|██████▍ | 11/17 [00:02<00:01, 5.00it/s] 71%|███████ | 12/17 [00:02<00:01, 4.91it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 5.00it/s] 88%|████████▊ | 15/17 [00:02<00:00, 5.04it/s] 94%|█████████▍| 16/17 [00:03<00:00, 5.02it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.02it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.06it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.06it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.04it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.86it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.92it/s] 41%|████ | 7/17 [00:01<00:02, 4.85it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.88it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.96it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.85it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.91it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 5.01it/s] 82%|████████▏ | 14/17 [00:02<00:00, 5.03it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.96it/s] 94%|█████████▍| 16/17 [00:03<00:00, 5.00it/s] 100%|██████████| 17/17 [00:03<00:00, 5.02it/s] 100%|██████████| 17/17 [00:03<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.01it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.02it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.87it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.92it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.96it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.97it/s] 41%|████ | 7/17 [00:01<00:02, 4.96it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.86it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.94it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.99it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.99it/s] 71%|███████ | 12/17 [00:02<00:00, 5.00it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.81it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.86it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.90it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.95it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.58it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.82it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.95it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.98it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.99it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.87it/s] 41%|████ | 7/17 [00:01<00:02, 4.93it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 5.00it/s] 59%|█████▉ | 10/17 [00:02<00:01, 5.03it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.98it/s] 71%|███████ | 12/17 [00:02<00:01, 4.96it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.97it/s] 82%|████████▏ | 14/17 [00:02<00:00, 5.02it/s] 88%|████████▊ | 15/17 [00:03<00:00, 5.03it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.87it/s] 100%|██████████| 17/17 [00:03<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece, best quality), aging gracefully, builky, 1 girl, (ultra long pink hair), (red eyes:1.2), high-tech metropolis, (white panties show:1.5), (schoolgirl outfit:1.3), (sitting on grass pose:1.5), tiny breasts, ((up green skirt:1.3)), is a celebration of color, combining the organic with the digital, and the tranquility of nature with the pulsating life of an urban landscape, (smile face:1.5), <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
more than 2 legs, more than 2 feet, more than 2 shoes, tail, nude, topless, nipples, nsfw, By bad artist -neg, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, watermark, text, bad hands, poorly drawn hands
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
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0.2
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
945683904
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
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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)
By bad artist -neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/c890275c95a743b7b5e91920430ecac0/00000-945683904.webp
https://files.tungsten.run/uploads/2a26846e49964abd892cd37e04c068dc/00001-945683905.webp
https://files.tungsten.run/uploads/f67c7d4c845b4bbdbe0b19493e6f2311/00002-945683906.webp
https://files.tungsten.run/uploads/137cd4f6949e4071b648e8d2c3f0b140/00003-945683907.webp
Finished in 39.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, best quality), aging gracefully, builky, 1 girl, (ultra long pink hair), (red eyes:1.2), high-tech metropolis, (white panties show:1.5), (schoolgirl outfit:1.3), (sitting on grass pose:1.5), tiny breasts, ((up green skirt:1.3)), is a celebration of color, combining the organic with the digital, and the tranquility of nature with the pulsating life of an urban landscape, (smile face:1.5), <lora:more_details:0.7>, <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2> Full negative prompt: more than 2 legs, more than 2 feet, more than 2 shoes, tail, nude, topless, nipples, nsfw, By bad artist -neg, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, watermark, text, bad hands, poorly drawn hands 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, 1.56it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.56it/s] 20%|██ | 6/30 [00:03<00:15, 1.56it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.55it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.55it/s] 30%|███ | 9/30 [00:05<00:13, 1.55it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.55it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.55it/s] 40%|████ | 12/30 [00:07<00:11, 1.54it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.54it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.54it/s] 50%|█████ | 15/30 [00:09<00:09, 1.54it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.54it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.54it/s] 60%|██████ | 18/30 [00:11<00:07, 1.54it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.54it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.54it/s] 70%|███████ | 21/30 [00:13<00:05, 1.55it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.55it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.55it/s] 80%|████████ | 24/30 [00:15<00:03, 1.55it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.55it/s] 87%|████████▋ | 26/30 [00:16<00:02, 1.55it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.55it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.55it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.56it/s] 100%|██████████| 30/30 [00:19<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.01s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.73it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.93it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.01it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.04it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.05it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.98it/s] 41%|████ | 7/17 [00:01<00:01, 5.02it/s] 47%|████▋ | 8/17 [00:01<00:01, 5.04it/s] 53%|█████▎ | 9/17 [00:01<00:01, 5.04it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.99it/s] 65%|██████▍ | 11/17 [00:02<00:01, 5.00it/s] 71%|███████ | 12/17 [00:02<00:01, 4.91it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 5.00it/s] 88%|████████▊ | 15/17 [00:02<00:00, 5.04it/s] 94%|█████████▍| 16/17 [00:03<00:00, 5.02it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.02it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.06it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.06it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.04it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.86it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.92it/s] 41%|████ | 7/17 [00:01<00:02, 4.85it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.88it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.96it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.85it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.91it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 5.01it/s] 82%|████████▏ | 14/17 [00:02<00:00, 5.03it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.96it/s] 94%|█████████▍| 16/17 [00:03<00:00, 5.00it/s] 100%|██████████| 17/17 [00:03<00:00, 5.02it/s] 100%|██████████| 17/17 [00:03<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.01it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.02it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.87it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.92it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.96it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.97it/s] 41%|████ | 7/17 [00:01<00:02, 4.96it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.86it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.94it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.99it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.99it/s] 71%|███████ | 12/17 [00:02<00:00, 5.00it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.81it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.86it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.90it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.95it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.58it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.82it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.95it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.98it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.99it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.87it/s] 41%|████ | 7/17 [00:01<00:02, 4.93it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 5.00it/s] 59%|█████▉ | 10/17 [00:02<00:01, 5.03it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.98it/s] 71%|███████ | 12/17 [00:02<00:01, 4.96it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.97it/s] 82%|████████▏ | 14/17 [00:02<00:00, 5.02it/s] 88%|████████▊ | 15/17 [00:03<00:00, 5.03it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.87it/s] 100%|██████████| 17/17 [00:03<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.