Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/6a430277a73944efb7861546e7718132/00000-102512175.webp
https://files.tungsten.run/uploads/5d627c44eedc410f8068558c7053182a/00001-102512176.webp
https://files.tungsten.run/uploads/30704cb9853b42c59f0e7ec88fe26b5b/00002-102512177.webp
This example was created by evevalentine2017
Finished in 159.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Ancient horror-themed, inspired by the chilling tales of ancient civilizations and forgotten rituals, with a sense of dread and unease that transcends time. (Ancient horror:1.3), (masterpiece, top quality:1.3), in the style of Guillermo del Toro's "Pan's Labyrinth," with atmospheric settings, ancient ruins, and cursed artifacts. Featuring ancient gods, bloodthirsty demons, and vengeful spirits, as they exact their terrifying revenge on unsuspecting victims. Utilizing haunting visuals and eerie sound design to evoke a sense of ancient dread and primal fear, as viewers are transported to a world where the boundaries between the living and the dead are blurred, and the horrors of the past refuse to stay buried. As characters uncover the dark secrets of the past, they must confront their own inner demons and make sacrifices to appease the ancient forces that threaten to consume them. Full negative prompt: teal colors, cheerful, bright, vibrant, light-hearted, cute, nsfw, imperfect hand, deformed hand, imperfect fingers, deformed fingers, bad proportions,(((nudity))), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, blurry, rendered, CGI, jpg artifacts, video noise, imperfect hand, deformed hand 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:19, 1.63s/it] 4%|▍ | 2/50 [00:03<01:26, 1.79s/it] 6%|▌ | 3/50 [00:05<01:29, 1.91s/it] 8%|▊ | 4/50 [00:07<01:28, 1.93s/it] 10%|█ | 5/50 [00:09<01:26, 1.91s/it] 12%|█▏ | 6/50 [00:11<01:26, 1.96s/it] 14%|█▍ | 7/50 [00:13<01:26, 2.01s/it] 16%|█▌ | 8/50 [00:15<01:25, 2.04s/it] 18%|█▊ | 9/50 [00:17<01:21, 2.00s/it] 20%|██ | 10/50 [00:19<01:18, 1.97s/it] 22%|██▏ | 11/50 [00:21<01:15, 1.93s/it] 24%|██▍ | 12/50 [00:23<01:15, 1.99s/it] 26%|██▌ | 13/50 [00:25<01:12, 1.95s/it] 28%|██▊ | 14/50 [00:27<01:11, 1.98s/it] 30%|███ | 15/50 [00:29<01:08, 1.95s/it] 32%|███▏ | 16/50 [00:31<01:06, 1.94s/it] 34%|███▍ | 17/50 [00:33<01:04, 1.96s/it] 36%|███▌ | 18/50 [00:35<01:02, 1.95s/it] 38%|███▊ | 19/50 [00:37<01:00, 1.94s/it] 40%|████ | 20/50 [00:38<00:58, 1.94s/it] 42%|████▏ | 21/50 [00:40<00:56, 1.95s/it] 44%|████▍ | 22/50 [00:42<00:53, 1.91s/it] 46%|████▌ | 23/50 [00:44<00:51, 1.92s/it] 48%|████▊ | 24/50 [00:46<00:49, 1.90s/it] 50%|█████ | 25/50 [00:48<00:47, 1.92s/it] 52%|█████▏ | 26/50 [00:50<00:45, 1.89s/it] 54%|█████▍ | 27/50 [00:52<00:42, 1.86s/it] 56%|█████▌ | 28/50 [00:54<00:41, 1.89s/it] 58%|█████▊ | 29/50 [00:55<00:39, 1.89s/it] 60%|██████ | 30/50 [00:57<00:37, 1.88s/it] 62%|██████▏ | 31/50 [00:59<00:34, 1.84s/it] 64%|██████▍ | 32/50 [01:01<00:32, 1.81s/it] 66%|██████▌ | 33/50 [01:03<00:31, 1.87s/it] 68%|██████▊ | 34/50 [01:05<00:29, 1.83s/it] 70%|███████ | 35/50 [01:06<00:27, 1.81s/it] 72%|███████▏ | 36/50 [01:08<00:24, 1.74s/it] 74%|███████▍ | 37/50 [01:10<00:22, 1.76s/it] 76%|███████▌ | 38/50 [01:11<00:20, 1.74s/it] 78%|███████▊ | 39/50 [01:13<00:18, 1.71s/it] 80%|████████ | 40/50 [01:15<00:16, 1.64s/it] 82%|████████▏ | 41/50 [01:16<00:14, 1.63s/it] 84%|████████▍ | 42/50 [01:18<00:12, 1.62s/it] 86%|████████▌ | 43/50 [01:20<00:11, 1.68s/it] 88%|████████▊ | 44/50 [01:21<00:09, 1.64s/it] 90%|█████████ | 45/50 [01:23<00:08, 1.65s/it] 92%|█████████▏| 46/50 [01:24<00:06, 1.65s/it] 94%|█████████▍| 47/50 [01:26<00:05, 1.68s/it] 96%|█████████▌| 48/50 [01:28<00:03, 1.60s/it] 98%|█████████▊| 49/50 [01:29<00:01, 1.42s/it] 100%|██████████| 50/50 [01:29<00:00, 1.27s/it] 100%|██████████| 50/50 [01:29<00:00, 1.80s/it] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:21, 1.00it/s] 9%|▊ | 2/23 [00:01<00:20, 1.01it/s] 13%|█▎ | 3/23 [00:02<00:19, 1.03it/s] 17%|█▋ | 4/23 [00:03<00:17, 1.07it/s] 22%|██▏ | 5/23 [00:04<00:16, 1.07it/s] 26%|██▌ | 6/23 [00:05<00:16, 1.04it/s] 30%|███ | 7/23 [00:06<00:14, 1.07it/s] 35%|███▍ | 8/23 [00:07<00:13, 1.08it/s] 39%|███▉ | 9/23 [00:08<00:13, 1.07it/s] 43%|████▎ | 10/23 [00:09<00:12, 1.06it/s] 48%|████▊ | 11/23 [00:10<00:11, 1.06it/s] 52%|█████▏ | 12/23 [00:11<00:10, 1.06it/s] 57%|█████▋ | 13/23 [00:12<00:09, 1.10it/s] 61%|██████ | 14/23 [00:13<00:08, 1.11it/s] 65%|██████▌ | 15/23 [00:13<00:07, 1.14it/s] 70%|██████▉ | 16/23 [00:14<00:06, 1.12it/s] 74%|███████▍ | 17/23 [00:15<00:05, 1.15it/s] 78%|███████▊ | 18/23 [00:16<00:04, 1.15it/s] 83%|████████▎ | 19/23 [00:17<00:03, 1.15it/s] 87%|████████▋ | 20/23 [00:18<00:02, 1.14it/s] 91%|█████████▏| 21/23 [00:19<00:01, 1.18it/s] 96%|█████████▌| 22/23 [00:19<00:00, 1.25it/s] 100%|██████████| 23/23 [00:20<00:00, 1.34it/s] 100%|██████████| 23/23 [00:20<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:21, 1.03it/s] 9%|▊ | 2/23 [00:01<00:19, 1.05it/s] 13%|█▎ | 3/23 [00:02<00:18, 1.07it/s] 17%|█▋ | 4/23 [00:03<00:17, 1.09it/s] 22%|██▏ | 5/23 [00:04<00:16, 1.08it/s] 26%|██▌ | 6/23 [00:05<00:16, 1.05it/s] 30%|███ | 7/23 [00:06<00:14, 1.08it/s] 35%|███▍ | 8/23 [00:07<00:13, 1.10it/s] 39%|███▉ | 9/23 [00:08<00:12, 1.12it/s] 43%|████▎ | 10/23 [00:09<00:11, 1.11it/s] 48%|████▊ | 11/23 [00:10<00:10, 1.12it/s] 52%|█████▏ | 12/23 [00:10<00:09, 1.13it/s] 57%|█████▋ | 13/23 [00:11<00:08, 1.15it/s] 61%|██████ | 14/23 [00:12<00:07, 1.15it/s] 65%|██████▌ | 15/23 [00:13<00:06, 1.14it/s] 70%|██████▉ | 16/23 [00:14<00:06, 1.12it/s] 74%|███████▍ | 17/23 [00:15<00:05, 1.15it/s] 78%|███████▊ | 18/23 [00:16<00:04, 1.15it/s] 83%|████████▎ | 19/23 [00:17<00:03, 1.14it/s] 87%|████████▋ | 20/23 [00:17<00:02, 1.12it/s] 91%|█████████▏| 21/23 [00:18<00:01, 1.17it/s] 96%|█████████▌| 22/23 [00:19<00:00, 1.24it/s] 100%|██████████| 23/23 [00:20<00:00, 1.34it/s] 100%|██████████| 23/23 [00:20<00:00, 1.15it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:21, 1.03it/s] 9%|▊ | 2/23 [00:01<00:20, 1.03it/s] 13%|█▎ | 3/23 [00:02<00:18, 1.06it/s] 17%|█▋ | 4/23 [00:03<00:17, 1.07it/s] 22%|██▏ | 5/23 [00:04<00:16, 1.09it/s] 26%|██▌ | 6/23 [00:05<00:15, 1.07it/s] 30%|███ | 7/23 [00:06<00:14, 1.09it/s] 35%|███▍ | 8/23 [00:07<00:13, 1.10it/s] 39%|███▉ | 9/23 [00:08<00:12, 1.12it/s] 43%|████▎ | 10/23 [00:09<00:11, 1.11it/s] 48%|████▊ | 11/23 [00:10<00:10, 1.11it/s] 52%|█████▏ | 12/23 [00:10<00:09, 1.12it/s] 57%|█████▋ | 13/23 [00:11<00:08, 1.16it/s] 61%|██████ | 14/23 [00:12<00:07, 1.18it/s] 65%|██████▌ | 15/23 [00:13<00:06, 1.19it/s] 70%|██████▉ | 16/23 [00:14<00:06, 1.15it/s] 74%|███████▍ | 17/23 [00:15<00:05, 1.17it/s] 78%|███████▊ | 18/23 [00:16<00:04, 1.16it/s] 83%|████████▎ | 19/23 [00:16<00:03, 1.16it/s] 87%|████████▋ | 20/23 [00:17<00:02, 1.15it/s] 91%|█████████▏| 21/23 [00:18<00:01, 1.19it/s] 96%|█████████▌| 22/23 [00:19<00:00, 1.28it/s] 100%|██████████| 23/23 [00:19<00:00, 1.38it/s] 100%|██████████| 23/23 [00:19<00:00, 1.16it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/6a430277a73944efb7861546e7718132/00000-102512175.webp
https://files.tungsten.run/uploads/5d627c44eedc410f8068558c7053182a/00001-102512176.webp
https://files.tungsten.run/uploads/30704cb9853b42c59f0e7ec88fe26b5b/00002-102512177.webp
This example was created by evevalentine2017
Finished in 159.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Ancient horror-themed, inspired by the chilling tales of ancient civilizations and forgotten rituals, with a sense of dread and unease that transcends time. (Ancient horror:1.3), (masterpiece, top quality:1.3), in the style of Guillermo del Toro's "Pan's Labyrinth," with atmospheric settings, ancient ruins, and cursed artifacts. Featuring ancient gods, bloodthirsty demons, and vengeful spirits, as they exact their terrifying revenge on unsuspecting victims. Utilizing haunting visuals and eerie sound design to evoke a sense of ancient dread and primal fear, as viewers are transported to a world where the boundaries between the living and the dead are blurred, and the horrors of the past refuse to stay buried. As characters uncover the dark secrets of the past, they must confront their own inner demons and make sacrifices to appease the ancient forces that threaten to consume them. Full negative prompt: teal colors, cheerful, bright, vibrant, light-hearted, cute, nsfw, imperfect hand, deformed hand, imperfect fingers, deformed fingers, bad proportions,(((nudity))), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, blurry, rendered, CGI, jpg artifacts, video noise, imperfect hand, deformed hand 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:19, 1.63s/it] 4%|▍ | 2/50 [00:03<01:26, 1.79s/it] 6%|▌ | 3/50 [00:05<01:29, 1.91s/it] 8%|▊ | 4/50 [00:07<01:28, 1.93s/it] 10%|█ | 5/50 [00:09<01:26, 1.91s/it] 12%|█▏ | 6/50 [00:11<01:26, 1.96s/it] 14%|█▍ | 7/50 [00:13<01:26, 2.01s/it] 16%|█▌ | 8/50 [00:15<01:25, 2.04s/it] 18%|█▊ | 9/50 [00:17<01:21, 2.00s/it] 20%|██ | 10/50 [00:19<01:18, 1.97s/it] 22%|██▏ | 11/50 [00:21<01:15, 1.93s/it] 24%|██▍ | 12/50 [00:23<01:15, 1.99s/it] 26%|██▌ | 13/50 [00:25<01:12, 1.95s/it] 28%|██▊ | 14/50 [00:27<01:11, 1.98s/it] 30%|███ | 15/50 [00:29<01:08, 1.95s/it] 32%|███▏ | 16/50 [00:31<01:06, 1.94s/it] 34%|███▍ | 17/50 [00:33<01:04, 1.96s/it] 36%|███▌ | 18/50 [00:35<01:02, 1.95s/it] 38%|███▊ | 19/50 [00:37<01:00, 1.94s/it] 40%|████ | 20/50 [00:38<00:58, 1.94s/it] 42%|████▏ | 21/50 [00:40<00:56, 1.95s/it] 44%|████▍ | 22/50 [00:42<00:53, 1.91s/it] 46%|████▌ | 23/50 [00:44<00:51, 1.92s/it] 48%|████▊ | 24/50 [00:46<00:49, 1.90s/it] 50%|█████ | 25/50 [00:48<00:47, 1.92s/it] 52%|█████▏ | 26/50 [00:50<00:45, 1.89s/it] 54%|█████▍ | 27/50 [00:52<00:42, 1.86s/it] 56%|█████▌ | 28/50 [00:54<00:41, 1.89s/it] 58%|█████▊ | 29/50 [00:55<00:39, 1.89s/it] 60%|██████ | 30/50 [00:57<00:37, 1.88s/it] 62%|██████▏ | 31/50 [00:59<00:34, 1.84s/it] 64%|██████▍ | 32/50 [01:01<00:32, 1.81s/it] 66%|██████▌ | 33/50 [01:03<00:31, 1.87s/it] 68%|██████▊ | 34/50 [01:05<00:29, 1.83s/it] 70%|███████ | 35/50 [01:06<00:27, 1.81s/it] 72%|███████▏ | 36/50 [01:08<00:24, 1.74s/it] 74%|███████▍ | 37/50 [01:10<00:22, 1.76s/it] 76%|███████▌ | 38/50 [01:11<00:20, 1.74s/it] 78%|███████▊ | 39/50 [01:13<00:18, 1.71s/it] 80%|████████ | 40/50 [01:15<00:16, 1.64s/it] 82%|████████▏ | 41/50 [01:16<00:14, 1.63s/it] 84%|████████▍ | 42/50 [01:18<00:12, 1.62s/it] 86%|████████▌ | 43/50 [01:20<00:11, 1.68s/it] 88%|████████▊ | 44/50 [01:21<00:09, 1.64s/it] 90%|█████████ | 45/50 [01:23<00:08, 1.65s/it] 92%|█████████▏| 46/50 [01:24<00:06, 1.65s/it] 94%|█████████▍| 47/50 [01:26<00:05, 1.68s/it] 96%|█████████▌| 48/50 [01:28<00:03, 1.60s/it] 98%|█████████▊| 49/50 [01:29<00:01, 1.42s/it] 100%|██████████| 50/50 [01:29<00:00, 1.27s/it] 100%|██████████| 50/50 [01:29<00:00, 1.80s/it] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:21, 1.00it/s] 9%|▊ | 2/23 [00:01<00:20, 1.01it/s] 13%|█▎ | 3/23 [00:02<00:19, 1.03it/s] 17%|█▋ | 4/23 [00:03<00:17, 1.07it/s] 22%|██▏ | 5/23 [00:04<00:16, 1.07it/s] 26%|██▌ | 6/23 [00:05<00:16, 1.04it/s] 30%|███ | 7/23 [00:06<00:14, 1.07it/s] 35%|███▍ | 8/23 [00:07<00:13, 1.08it/s] 39%|███▉ | 9/23 [00:08<00:13, 1.07it/s] 43%|████▎ | 10/23 [00:09<00:12, 1.06it/s] 48%|████▊ | 11/23 [00:10<00:11, 1.06it/s] 52%|█████▏ | 12/23 [00:11<00:10, 1.06it/s] 57%|█████▋ | 13/23 [00:12<00:09, 1.10it/s] 61%|██████ | 14/23 [00:13<00:08, 1.11it/s] 65%|██████▌ | 15/23 [00:13<00:07, 1.14it/s] 70%|██████▉ | 16/23 [00:14<00:06, 1.12it/s] 74%|███████▍ | 17/23 [00:15<00:05, 1.15it/s] 78%|███████▊ | 18/23 [00:16<00:04, 1.15it/s] 83%|████████▎ | 19/23 [00:17<00:03, 1.15it/s] 87%|████████▋ | 20/23 [00:18<00:02, 1.14it/s] 91%|█████████▏| 21/23 [00:19<00:01, 1.18it/s] 96%|█████████▌| 22/23 [00:19<00:00, 1.25it/s] 100%|██████████| 23/23 [00:20<00:00, 1.34it/s] 100%|██████████| 23/23 [00:20<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:21, 1.03it/s] 9%|▊ | 2/23 [00:01<00:19, 1.05it/s] 13%|█▎ | 3/23 [00:02<00:18, 1.07it/s] 17%|█▋ | 4/23 [00:03<00:17, 1.09it/s] 22%|██▏ | 5/23 [00:04<00:16, 1.08it/s] 26%|██▌ | 6/23 [00:05<00:16, 1.05it/s] 30%|███ | 7/23 [00:06<00:14, 1.08it/s] 35%|███▍ | 8/23 [00:07<00:13, 1.10it/s] 39%|███▉ | 9/23 [00:08<00:12, 1.12it/s] 43%|████▎ | 10/23 [00:09<00:11, 1.11it/s] 48%|████▊ | 11/23 [00:10<00:10, 1.12it/s] 52%|█████▏ | 12/23 [00:10<00:09, 1.13it/s] 57%|█████▋ | 13/23 [00:11<00:08, 1.15it/s] 61%|██████ | 14/23 [00:12<00:07, 1.15it/s] 65%|██████▌ | 15/23 [00:13<00:06, 1.14it/s] 70%|██████▉ | 16/23 [00:14<00:06, 1.12it/s] 74%|███████▍ | 17/23 [00:15<00:05, 1.15it/s] 78%|███████▊ | 18/23 [00:16<00:04, 1.15it/s] 83%|████████▎ | 19/23 [00:17<00:03, 1.14it/s] 87%|████████▋ | 20/23 [00:17<00:02, 1.12it/s] 91%|█████████▏| 21/23 [00:18<00:01, 1.17it/s] 96%|█████████▌| 22/23 [00:19<00:00, 1.24it/s] 100%|██████████| 23/23 [00:20<00:00, 1.34it/s] 100%|██████████| 23/23 [00:20<00:00, 1.15it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:21, 1.03it/s] 9%|▊ | 2/23 [00:01<00:20, 1.03it/s] 13%|█▎ | 3/23 [00:02<00:18, 1.06it/s] 17%|█▋ | 4/23 [00:03<00:17, 1.07it/s] 22%|██▏ | 5/23 [00:04<00:16, 1.09it/s] 26%|██▌ | 6/23 [00:05<00:15, 1.07it/s] 30%|███ | 7/23 [00:06<00:14, 1.09it/s] 35%|███▍ | 8/23 [00:07<00:13, 1.10it/s] 39%|███▉ | 9/23 [00:08<00:12, 1.12it/s] 43%|████▎ | 10/23 [00:09<00:11, 1.11it/s] 48%|████▊ | 11/23 [00:10<00:10, 1.11it/s] 52%|█████▏ | 12/23 [00:10<00:09, 1.12it/s] 57%|█████▋ | 13/23 [00:11<00:08, 1.16it/s] 61%|██████ | 14/23 [00:12<00:07, 1.18it/s] 65%|██████▌ | 15/23 [00:13<00:06, 1.19it/s] 70%|██████▉ | 16/23 [00:14<00:06, 1.15it/s] 74%|███████▍ | 17/23 [00:15<00:05, 1.17it/s] 78%|███████▊ | 18/23 [00:16<00:04, 1.16it/s] 83%|████████▎ | 19/23 [00:16<00:03, 1.16it/s] 87%|████████▋ | 20/23 [00:17<00:02, 1.15it/s] 91%|█████████▏| 21/23 [00:18<00:01, 1.19it/s] 96%|█████████▌| 22/23 [00:19<00:00, 1.28it/s] 100%|██████████| 23/23 [00:19<00:00, 1.38it/s] 100%|██████████| 23/23 [00:19<00:00, 1.16it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.