tungsten-logo
Sign In
Anime Cloaks with Art Supply XL
art-supply-xl:v1.0
evevalentine2017
evevalentine2017
·
Mar 9
359
Input
prompt
Specify things to see in the output
(waifu, anime, exceptional, best aesthetic, new, newest, extremely detailed:1.2), plain colors, 2D, cartoon japanese animation, sfw, masterpiece, best quality, black armor, rainy days, full body, man, cloak, two arms
negative_prompt
Specify things to not see in the output
(worst quality, low quality), blurry, noisy, assymetric face, realism, realistic, photorealistic, reality
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1088106989
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
sdxl_vae.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/a834b517664d409e8a5565d9de79a8bf/00000-1088106989.webp
https://files.tungsten.run/uploads/f8bd685e14564503bdeba9e3e054b5b6/00001-1088106990.webp
https://files.tungsten.run/uploads/af77b4d755834866bbdf0539865d0d73/00002-1088106991.webp
Finished in 107.6 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (waifu, anime, exceptional, best aesthetic, new, newest, extremely detailed:1.2), plain colors, 2D, cartoon japanese animation, sfw, masterpiece, best quality, black armor, rainy days, full body, man, cloak, two arms Full negative prompt: (worst quality, low quality), blurry, noisy, assymetric face, realism, realistic, photorealistic, reality 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:06, 1.35s/it] 4%|▍ | 2/50 [00:02<01:05, 1.36s/it] 6%|▌ | 3/50 [00:04<01:04, 1.37s/it] 8%|▊ | 4/50 [00:05<01:03, 1.38s/it] 10%|█ | 5/50 [00:06<01:02, 1.38s/it] 12%|█▏ | 6/50 [00:08<01:00, 1.38s/it] 14%|█▍ | 7/50 [00:09<00:59, 1.38s/it] 16%|█▌ | 8/50 [00:11<00:58, 1.38s/it] 18%|█▊ | 9/50 [00:12<00:56, 1.38s/it] 20%|██ | 10/50 [00:13<00:55, 1.39s/it] 22%|██▏ | 11/50 [00:15<00:54, 1.39s/it] 24%|██▍ | 12/50 [00:16<00:52, 1.39s/it] 26%|██▌ | 13/50 [00:17<00:51, 1.39s/it] 28%|██▊ | 14/50 [00:19<00:49, 1.39s/it] 30%|███ | 15/50 [00:20<00:48, 1.39s/it] 32%|███▏ | 16/50 [00:22<00:47, 1.39s/it] 34%|███▍ | 17/50 [00:23<00:45, 1.39s/it] 36%|███▌ | 18/50 [00:24<00:44, 1.39s/it] 38%|███▊ | 19/50 [00:26<00:43, 1.39s/it] 40%|████ | 20/50 [00:27<00:41, 1.39s/it] 42%|████▏ | 21/50 [00:29<00:40, 1.39s/it] 44%|████▍ | 22/50 [00:30<00:38, 1.39s/it] 46%|████▌ | 23/50 [00:31<00:37, 1.39s/it] 48%|████▊ | 24/50 [00:33<00:36, 1.39s/it] 50%|█████ | 25/50 [00:34<00:34, 1.39s/it] 52%|█████▏ | 26/50 [00:36<00:33, 1.39s/it] 54%|█████▍ | 27/50 [00:37<00:31, 1.39s/it] 56%|█████▌ | 28/50 [00:38<00:30, 1.38s/it] 58%|█████▊ | 29/50 [00:40<00:29, 1.38s/it] 60%|██████ | 30/50 [00:41<00:27, 1.38s/it] 62%|██████▏ | 31/50 [00:42<00:26, 1.38s/it] 64%|██████▍ | 32/50 [00:44<00:24, 1.38s/it] 66%|██████▌ | 33/50 [00:45<00:23, 1.38s/it] 68%|██████▊ | 34/50 [00:47<00:22, 1.38s/it] 70%|███████ | 35/50 [00:48<00:20, 1.38s/it] 72%|███████▏ | 36/50 [00:49<00:19, 1.38s/it] 74%|███████▍ | 37/50 [00:51<00:17, 1.38s/it] 76%|███████▌ | 38/50 [00:52<00:16, 1.38s/it] 78%|███████▊ | 39/50 [00:53<00:15, 1.38s/it] 80%|████████ | 40/50 [00:55<00:13, 1.38s/it] 82%|████████▏ | 41/50 [00:56<00:12, 1.38s/it] 84%|████████▍ | 42/50 [00:58<00:11, 1.38s/it] 86%|████████▌ | 43/50 [00:59<00:09, 1.38s/it] 88%|████████▊ | 44/50 [01:00<00:08, 1.38s/it] 90%|█████████ | 45/50 [01:02<00:06, 1.38s/it] 92%|█████████▏| 46/50 [01:03<00:05, 1.38s/it] 94%|█████████▍| 47/50 [01:04<00:04, 1.38s/it] 96%|█████████▌| 48/50 [01:06<00:02, 1.38s/it] 98%|█████████▊| 49/50 [01:07<00:01, 1.38s/it] 100%|██████████| 50/50 [01:09<00:00, 1.38s/it] 100%|██████████| 50/50 [01:09<00:00, 1.38s/it] Decoding latents in cuda:0... done in 2.42s Move latents to cpu... done in 0.03s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.52it/s] 9%|▊ | 2/23 [00:00<00:08, 2.50it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.41it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.42it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.40it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.40it/s] 30%|███ | 7/23 [00:02<00:06, 2.42it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.39it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.40it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.41it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.39it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.39it/s] 61%|██████ | 14/23 [00:05<00:03, 2.41it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.39it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.40it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.40it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.40it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.40it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.40it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] 100%|██████████| 23/23 [00:09<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.54it/s] 9%|▊ | 2/23 [00:00<00:08, 2.51it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.41it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.43it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.40it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.40it/s] 30%|███ | 7/23 [00:02<00:06, 2.41it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.39it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.40it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.39it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.38it/s] 61%|██████ | 14/23 [00:05<00:03, 2.40it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.37it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.39it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.39it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.39it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.40it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.40it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.53it/s] 9%|▊ | 2/23 [00:00<00:08, 2.50it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.40it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.43it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.38it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:02<00:06, 2.40it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.38it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.40it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.39it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.39it/s] 61%|██████ | 14/23 [00:05<00:03, 2.40it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.37it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.38it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.38it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.38it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.39it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.38it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(waifu, anime, exceptional, best aesthetic, new, newest, extremely detailed:1.2), plain colors, 2D, cartoon japanese animation, sfw, masterpiece, best quality, black armor, rainy days, full body, man, cloak, two arms
negative_prompt
Specify things to not see in the output
(worst quality, low quality), blurry, noisy, assymetric face, realism, realistic, photorealistic, reality
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1088106989
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
sdxl_vae.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/a834b517664d409e8a5565d9de79a8bf/00000-1088106989.webp
https://files.tungsten.run/uploads/f8bd685e14564503bdeba9e3e054b5b6/00001-1088106990.webp
https://files.tungsten.run/uploads/af77b4d755834866bbdf0539865d0d73/00002-1088106991.webp
Finished in 107.6 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (waifu, anime, exceptional, best aesthetic, new, newest, extremely detailed:1.2), plain colors, 2D, cartoon japanese animation, sfw, masterpiece, best quality, black armor, rainy days, full body, man, cloak, two arms Full negative prompt: (worst quality, low quality), blurry, noisy, assymetric face, realism, realistic, photorealistic, reality 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:06, 1.35s/it] 4%|▍ | 2/50 [00:02<01:05, 1.36s/it] 6%|▌ | 3/50 [00:04<01:04, 1.37s/it] 8%|▊ | 4/50 [00:05<01:03, 1.38s/it] 10%|█ | 5/50 [00:06<01:02, 1.38s/it] 12%|█▏ | 6/50 [00:08<01:00, 1.38s/it] 14%|█▍ | 7/50 [00:09<00:59, 1.38s/it] 16%|█▌ | 8/50 [00:11<00:58, 1.38s/it] 18%|█▊ | 9/50 [00:12<00:56, 1.38s/it] 20%|██ | 10/50 [00:13<00:55, 1.39s/it] 22%|██▏ | 11/50 [00:15<00:54, 1.39s/it] 24%|██▍ | 12/50 [00:16<00:52, 1.39s/it] 26%|██▌ | 13/50 [00:17<00:51, 1.39s/it] 28%|██▊ | 14/50 [00:19<00:49, 1.39s/it] 30%|███ | 15/50 [00:20<00:48, 1.39s/it] 32%|███▏ | 16/50 [00:22<00:47, 1.39s/it] 34%|███▍ | 17/50 [00:23<00:45, 1.39s/it] 36%|███▌ | 18/50 [00:24<00:44, 1.39s/it] 38%|███▊ | 19/50 [00:26<00:43, 1.39s/it] 40%|████ | 20/50 [00:27<00:41, 1.39s/it] 42%|████▏ | 21/50 [00:29<00:40, 1.39s/it] 44%|████▍ | 22/50 [00:30<00:38, 1.39s/it] 46%|████▌ | 23/50 [00:31<00:37, 1.39s/it] 48%|████▊ | 24/50 [00:33<00:36, 1.39s/it] 50%|█████ | 25/50 [00:34<00:34, 1.39s/it] 52%|█████▏ | 26/50 [00:36<00:33, 1.39s/it] 54%|█████▍ | 27/50 [00:37<00:31, 1.39s/it] 56%|█████▌ | 28/50 [00:38<00:30, 1.38s/it] 58%|█████▊ | 29/50 [00:40<00:29, 1.38s/it] 60%|██████ | 30/50 [00:41<00:27, 1.38s/it] 62%|██████▏ | 31/50 [00:42<00:26, 1.38s/it] 64%|██████▍ | 32/50 [00:44<00:24, 1.38s/it] 66%|██████▌ | 33/50 [00:45<00:23, 1.38s/it] 68%|██████▊ | 34/50 [00:47<00:22, 1.38s/it] 70%|███████ | 35/50 [00:48<00:20, 1.38s/it] 72%|███████▏ | 36/50 [00:49<00:19, 1.38s/it] 74%|███████▍ | 37/50 [00:51<00:17, 1.38s/it] 76%|███████▌ | 38/50 [00:52<00:16, 1.38s/it] 78%|███████▊ | 39/50 [00:53<00:15, 1.38s/it] 80%|████████ | 40/50 [00:55<00:13, 1.38s/it] 82%|████████▏ | 41/50 [00:56<00:12, 1.38s/it] 84%|████████▍ | 42/50 [00:58<00:11, 1.38s/it] 86%|████████▌ | 43/50 [00:59<00:09, 1.38s/it] 88%|████████▊ | 44/50 [01:00<00:08, 1.38s/it] 90%|█████████ | 45/50 [01:02<00:06, 1.38s/it] 92%|█████████▏| 46/50 [01:03<00:05, 1.38s/it] 94%|█████████▍| 47/50 [01:04<00:04, 1.38s/it] 96%|█████████▌| 48/50 [01:06<00:02, 1.38s/it] 98%|█████████▊| 49/50 [01:07<00:01, 1.38s/it] 100%|██████████| 50/50 [01:09<00:00, 1.38s/it] 100%|██████████| 50/50 [01:09<00:00, 1.38s/it] Decoding latents in cuda:0... done in 2.42s Move latents to cpu... done in 0.03s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.52it/s] 9%|▊ | 2/23 [00:00<00:08, 2.50it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.41it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.42it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.40it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.40it/s] 30%|███ | 7/23 [00:02<00:06, 2.42it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.39it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.40it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.41it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.39it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.39it/s] 61%|██████ | 14/23 [00:05<00:03, 2.41it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.39it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.40it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.40it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.40it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.40it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.40it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] 100%|██████████| 23/23 [00:09<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.54it/s] 9%|▊ | 2/23 [00:00<00:08, 2.51it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.41it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.43it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.40it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.40it/s] 30%|███ | 7/23 [00:02<00:06, 2.41it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.39it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.40it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.39it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.38it/s] 61%|██████ | 14/23 [00:05<00:03, 2.40it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.37it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.39it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.39it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.39it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.40it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.40it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.53it/s] 9%|▊ | 2/23 [00:00<00:08, 2.50it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.40it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.43it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.38it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:02<00:06, 2.40it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.38it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.40it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.39it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.39it/s] 61%|██████ | 14/23 [00:05<00:03, 2.40it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.37it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.38it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.38it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.38it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.39it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.38it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.