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digital-dream-xl
digital-dream-xl

digital-dream-xl

12 stars
Version: be0407f
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/07cf9882f82344dfb1ccb45e1aad116a/00000-1513767861.webp
https://files.tungsten.run/uploads/69f07301c83d411f8d970e395d4ac524/00001-1513767862.webp
https://files.tungsten.run/uploads/5bda653ec2634be3a99a14403d36700f/00002-1513767863.webp
This example was created by evevalentine2017
Finished in 133.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: serene scene, bioluminescence, night, Gems, 20 years old Finnish young woman, sharp, detailed, Full negative prompt: nipples, covered nipples, simple background, blurry, 0%| | 0/48 [00:00<?, ?it/s] 2%|▏ | 1/48 [00:01<01:14, 1.58s/it] 4%|▍ | 2/48 [00:03<01:22, 1.79s/it] 6%|▋ | 3/48 [00:05<01:28, 1.96s/it] 8%|▊ | 4/48 [00:07<01:29, 2.03s/it] 10%|█ | 5/48 [00:09<01:26, 2.01s/it] 12%|█▎ | 6/48 [00:12<01:27, 2.08s/it] 15%|█▍ | 7/48 [00:14<01:25, 2.08s/it] 17%|█▋ | 8/48 [00:16<01:23, 2.08s/it] 19%|█▉ | 9/48 [00:18<01:18, 2.02s/it] 21%|██ | 10/48 [00:19<01:15, 1.99s/it] 23%|██▎ | 11/48 [00:22<01:14, 2.01s/it] 25%|██▌ | 12/48 [00:24<01:12, 2.02s/it] 27%|██▋ | 13/48 [00:26<01:11, 2.04s/it] 29%|██▉ | 14/48 [00:28<01:08, 2.03s/it] 31%|███▏ | 15/48 [00:30<01:07, 2.04s/it] 33%|███▎ | 16/48 [00:32<01:04, 2.00s/it] 35%|███▌ | 17/48 [00:34<01:01, 1.98s/it] 38%|███▊ | 18/48 [00:35<00:58, 1.94s/it] 40%|███▉ | 19/48 [00:37<00:57, 1.97s/it] 42%|████▏ | 20/48 [00:39<00:55, 1.98s/it] 44%|████▍ | 21/48 [00:41<00:52, 1.93s/it] 46%|████▌ | 22/48 [00:43<00:50, 1.93s/it] 48%|████▊ | 23/48 [00:45<00:47, 1.88s/it] 50%|█████ | 24/48 [00:47<00:46, 1.93s/it] 52%|█████▏ | 25/48 [00:49<00:43, 1.90s/it] 54%|█████▍ | 26/48 [00:51<00:42, 1.91s/it] 56%|█████▋ | 27/48 [00:53<00:40, 1.94s/it] 58%|█████▊ | 28/48 [00:54<00:36, 1.85s/it] 60%|██████ | 29/48 [00:56<00:33, 1.79s/it] 62%|██████▎ | 30/48 [00:58<00:31, 1.75s/it] 65%|██████▍ | 31/48 [01:00<00:29, 1.76s/it] 67%|██████▋ | 32/48 [01:01<00:27, 1.72s/it] 69%|██████▉ | 33/48 [01:03<00:24, 1.65s/it] 71%|███████ | 34/48 [01:04<00:22, 1.64s/it] 73%|███████▎ | 35/48 [01:06<00:22, 1.71s/it] 75%|███████▌ | 36/48 [01:08<00:21, 1.79s/it] 77%|███████▋ | 37/48 [01:10<00:19, 1.76s/it] 79%|███████▉ | 38/48 [01:12<00:17, 1.75s/it] 81%|████████▏ | 39/48 [01:13<00:16, 1.79s/it] 83%|████████▎ | 40/48 [01:15<00:14, 1.75s/it] 85%|████████▌ | 41/48 [01:17<00:11, 1.71s/it] 88%|████████▊ | 42/48 [01:18<00:10, 1.67s/it] 90%|████████▉ | 43/48 [01:20<00:08, 1.72s/it] 92%|█████████▏| 44/48 [01:22<00:06, 1.68s/it] 94%|█████████▍| 45/48 [01:24<00:05, 1.73s/it] 96%|█████████▌| 46/48 [01:25<00:03, 1.71s/it] 98%|█████████▊| 47/48 [01:26<00:01, 1.51s/it] 100%|██████████| 48/48 [01:27<00:00, 1.33s/it] 100%|██████████| 48/48 [01:27<00:00, 1.83s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.01s 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:00<00:14, 1.46it/s] 9%|▉ | 2/22 [00:01<00:12, 1.63it/s] 14%|█▎ | 3/22 [00:01<00:11, 1.69it/s] 18%|█▊ | 4/22 [00:02<00:10, 1.71it/s] 23%|██▎ | 5/22 [00:03<00:10, 1.68it/s] 27%|██▋ | 6/22 [00:03<00:09, 1.71it/s] 32%|███▏ | 7/22 [00:04<00:08, 1.77it/s] 36%|███▋ | 8/22 [00:04<00:08, 1.73it/s] 41%|████ | 9/22 [00:05<00:07, 1.66it/s] 45%|████▌ | 10/22 [00:06<00:07, 1.59it/s] 50%|█████ | 11/22 [00:06<00:06, 1.61it/s] 55%|█████▍ | 12/22 [00:07<00:06, 1.62it/s] 59%|█████▉ | 13/22 [00:07<00:05, 1.60it/s] 64%|██████▎ | 14/22 [00:08<00:04, 1.62it/s] 68%|██████▊ | 15/22 [00:09<00:04, 1.66it/s] 73%|███████▎ | 16/22 [00:09<00:03, 1.71it/s] 77%|███████▋ | 17/22 [00:10<00:03, 1.65it/s] 82%|████████▏ | 18/22 [00:10<00:02, 1.71it/s] 86%|████████▋ | 19/22 [00:11<00:01, 1.66it/s] 91%|█████████ | 20/22 [00:12<00:01, 1.69it/s] 95%|█████████▌| 21/22 [00:12<00:00, 1.91it/s] 100%|██████████| 22/22 [00:12<00:00, 2.14it/s] 100%|██████████| 22/22 [00:12<00:00, 1.73it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:00<00:14, 1.48it/s] 9%|▉ | 2/22 [00:01<00:12, 1.63it/s] 14%|█▎ | 3/22 [00:01<00:11, 1.68it/s] 18%|█▊ | 4/22 [00:02<00:10, 1.68it/s] 23%|██▎ | 5/22 [00:03<00:10, 1.63it/s] 27%|██▋ | 6/22 [00:03<00:09, 1.69it/s] 32%|███▏ | 7/22 [00:04<00:08, 1.75it/s] 36%|███▋ | 8/22 [00:04<00:07, 1.75it/s] 41%|████ | 9/22 [00:05<00:07, 1.66it/s] 45%|████▌ | 10/22 [00:06<00:07, 1.60it/s] 50%|█████ | 11/22 [00:06<00:06, 1.61it/s] 55%|█████▍ | 12/22 [00:07<00:06, 1.61it/s] 59%|█████▉ | 13/22 [00:07<00:05, 1.60it/s] 64%|██████▎ | 14/22 [00:08<00:04, 1.64it/s] 68%|██████▊ | 15/22 [00:09<00:04, 1.68it/s] 73%|███████▎ | 16/22 [00:09<00:03, 1.72it/s] 77%|███████▋ | 17/22 [00:10<00:03, 1.66it/s] 82%|████████▏ | 18/22 [00:10<00:02, 1.72it/s] 86%|████████▋ | 19/22 [00:11<00:01, 1.64it/s] 91%|█████████ | 20/22 [00:12<00:01, 1.66it/s] 95%|█████████▌| 21/22 [00:12<00:00, 1.88it/s] 100%|██████████| 22/22 [00:12<00:00, 2.13it/s] 100%|██████████| 22/22 [00:12<00:00, 1.73it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:00<00:14, 1.47it/s] 9%|▉ | 2/22 [00:01<00:12, 1.64it/s] 14%|█▎ | 3/22 [00:01<00:11, 1.69it/s] 18%|█▊ | 4/22 [00:02<00:10, 1.71it/s] 23%|██▎ | 5/22 [00:03<00:10, 1.68it/s] 27%|██▋ | 6/22 [00:03<00:09, 1.72it/s] 32%|███▏ | 7/22 [00:04<00:08, 1.79it/s] 36%|███▋ | 8/22 [00:04<00:07, 1.78it/s] 41%|████ | 9/22 [00:05<00:07, 1.67it/s] 45%|████▌ | 10/22 [00:05<00:07, 1.61it/s] 50%|█████ | 11/22 [00:06<00:06, 1.65it/s] 55%|█████▍ | 12/22 [00:07<00:06, 1.65it/s] 59%|█████▉ | 13/22 [00:07<00:05, 1.62it/s] 64%|██████▎ | 14/22 [00:08<00:04, 1.66it/s] 68%|██████▊ | 15/22 [00:08<00:04, 1.70it/s] 73%|███████▎ | 16/22 [00:09<00:03, 1.74it/s] 77%|███████▋ | 17/22 [00:10<00:02, 1.68it/s] 82%|████████▏ | 18/22 [00:10<00:02, 1.72it/s] 86%|████████▋ | 19/22 [00:11<00:01, 1.66it/s] 91%|█████████ | 20/22 [00:11<00:01, 1.70it/s] 95%|█████████▌| 21/22 [00:12<00:00, 1.93it/s] 100%|██████████| 22/22 [00:12<00:00, 2.17it/s] 100%|██████████| 22/22 [00:12<00:00, 1.75it/s] Decoding latents in cuda:0... done in 0.58s 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/07cf9882f82344dfb1ccb45e1aad116a/00000-1513767861.webp
https://files.tungsten.run/uploads/69f07301c83d411f8d970e395d4ac524/00001-1513767862.webp
https://files.tungsten.run/uploads/5bda653ec2634be3a99a14403d36700f/00002-1513767863.webp
This example was created by evevalentine2017
Finished in 133.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: serene scene, bioluminescence, night, Gems, 20 years old Finnish young woman, sharp, detailed, Full negative prompt: nipples, covered nipples, simple background, blurry, 0%| | 0/48 [00:00<?, ?it/s] 2%|▏ | 1/48 [00:01<01:14, 1.58s/it] 4%|▍ | 2/48 [00:03<01:22, 1.79s/it] 6%|▋ | 3/48 [00:05<01:28, 1.96s/it] 8%|▊ | 4/48 [00:07<01:29, 2.03s/it] 10%|█ | 5/48 [00:09<01:26, 2.01s/it] 12%|█▎ | 6/48 [00:12<01:27, 2.08s/it] 15%|█▍ | 7/48 [00:14<01:25, 2.08s/it] 17%|█▋ | 8/48 [00:16<01:23, 2.08s/it] 19%|█▉ | 9/48 [00:18<01:18, 2.02s/it] 21%|██ | 10/48 [00:19<01:15, 1.99s/it] 23%|██▎ | 11/48 [00:22<01:14, 2.01s/it] 25%|██▌ | 12/48 [00:24<01:12, 2.02s/it] 27%|██▋ | 13/48 [00:26<01:11, 2.04s/it] 29%|██▉ | 14/48 [00:28<01:08, 2.03s/it] 31%|███▏ | 15/48 [00:30<01:07, 2.04s/it] 33%|███▎ | 16/48 [00:32<01:04, 2.00s/it] 35%|███▌ | 17/48 [00:34<01:01, 1.98s/it] 38%|███▊ | 18/48 [00:35<00:58, 1.94s/it] 40%|███▉ | 19/48 [00:37<00:57, 1.97s/it] 42%|████▏ | 20/48 [00:39<00:55, 1.98s/it] 44%|████▍ | 21/48 [00:41<00:52, 1.93s/it] 46%|████▌ | 22/48 [00:43<00:50, 1.93s/it] 48%|████▊ | 23/48 [00:45<00:47, 1.88s/it] 50%|█████ | 24/48 [00:47<00:46, 1.93s/it] 52%|█████▏ | 25/48 [00:49<00:43, 1.90s/it] 54%|█████▍ | 26/48 [00:51<00:42, 1.91s/it] 56%|█████▋ | 27/48 [00:53<00:40, 1.94s/it] 58%|█████▊ | 28/48 [00:54<00:36, 1.85s/it] 60%|██████ | 29/48 [00:56<00:33, 1.79s/it] 62%|██████▎ | 30/48 [00:58<00:31, 1.75s/it] 65%|██████▍ | 31/48 [01:00<00:29, 1.76s/it] 67%|██████▋ | 32/48 [01:01<00:27, 1.72s/it] 69%|██████▉ | 33/48 [01:03<00:24, 1.65s/it] 71%|███████ | 34/48 [01:04<00:22, 1.64s/it] 73%|███████▎ | 35/48 [01:06<00:22, 1.71s/it] 75%|███████▌ | 36/48 [01:08<00:21, 1.79s/it] 77%|███████▋ | 37/48 [01:10<00:19, 1.76s/it] 79%|███████▉ | 38/48 [01:12<00:17, 1.75s/it] 81%|████████▏ | 39/48 [01:13<00:16, 1.79s/it] 83%|████████▎ | 40/48 [01:15<00:14, 1.75s/it] 85%|████████▌ | 41/48 [01:17<00:11, 1.71s/it] 88%|████████▊ | 42/48 [01:18<00:10, 1.67s/it] 90%|████████▉ | 43/48 [01:20<00:08, 1.72s/it] 92%|█████████▏| 44/48 [01:22<00:06, 1.68s/it] 94%|█████████▍| 45/48 [01:24<00:05, 1.73s/it] 96%|█████████▌| 46/48 [01:25<00:03, 1.71s/it] 98%|█████████▊| 47/48 [01:26<00:01, 1.51s/it] 100%|██████████| 48/48 [01:27<00:00, 1.33s/it] 100%|██████████| 48/48 [01:27<00:00, 1.83s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.01s 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:00<00:14, 1.46it/s] 9%|▉ | 2/22 [00:01<00:12, 1.63it/s] 14%|█▎ | 3/22 [00:01<00:11, 1.69it/s] 18%|█▊ | 4/22 [00:02<00:10, 1.71it/s] 23%|██▎ | 5/22 [00:03<00:10, 1.68it/s] 27%|██▋ | 6/22 [00:03<00:09, 1.71it/s] 32%|███▏ | 7/22 [00:04<00:08, 1.77it/s] 36%|███▋ | 8/22 [00:04<00:08, 1.73it/s] 41%|████ | 9/22 [00:05<00:07, 1.66it/s] 45%|████▌ | 10/22 [00:06<00:07, 1.59it/s] 50%|█████ | 11/22 [00:06<00:06, 1.61it/s] 55%|█████▍ | 12/22 [00:07<00:06, 1.62it/s] 59%|█████▉ | 13/22 [00:07<00:05, 1.60it/s] 64%|██████▎ | 14/22 [00:08<00:04, 1.62it/s] 68%|██████▊ | 15/22 [00:09<00:04, 1.66it/s] 73%|███████▎ | 16/22 [00:09<00:03, 1.71it/s] 77%|███████▋ | 17/22 [00:10<00:03, 1.65it/s] 82%|████████▏ | 18/22 [00:10<00:02, 1.71it/s] 86%|████████▋ | 19/22 [00:11<00:01, 1.66it/s] 91%|█████████ | 20/22 [00:12<00:01, 1.69it/s] 95%|█████████▌| 21/22 [00:12<00:00, 1.91it/s] 100%|██████████| 22/22 [00:12<00:00, 2.14it/s] 100%|██████████| 22/22 [00:12<00:00, 1.73it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:00<00:14, 1.48it/s] 9%|▉ | 2/22 [00:01<00:12, 1.63it/s] 14%|█▎ | 3/22 [00:01<00:11, 1.68it/s] 18%|█▊ | 4/22 [00:02<00:10, 1.68it/s] 23%|██▎ | 5/22 [00:03<00:10, 1.63it/s] 27%|██▋ | 6/22 [00:03<00:09, 1.69it/s] 32%|███▏ | 7/22 [00:04<00:08, 1.75it/s] 36%|███▋ | 8/22 [00:04<00:07, 1.75it/s] 41%|████ | 9/22 [00:05<00:07, 1.66it/s] 45%|████▌ | 10/22 [00:06<00:07, 1.60it/s] 50%|█████ | 11/22 [00:06<00:06, 1.61it/s] 55%|█████▍ | 12/22 [00:07<00:06, 1.61it/s] 59%|█████▉ | 13/22 [00:07<00:05, 1.60it/s] 64%|██████▎ | 14/22 [00:08<00:04, 1.64it/s] 68%|██████▊ | 15/22 [00:09<00:04, 1.68it/s] 73%|███████▎ | 16/22 [00:09<00:03, 1.72it/s] 77%|███████▋ | 17/22 [00:10<00:03, 1.66it/s] 82%|████████▏ | 18/22 [00:10<00:02, 1.72it/s] 86%|████████▋ | 19/22 [00:11<00:01, 1.64it/s] 91%|█████████ | 20/22 [00:12<00:01, 1.66it/s] 95%|█████████▌| 21/22 [00:12<00:00, 1.88it/s] 100%|██████████| 22/22 [00:12<00:00, 2.13it/s] 100%|██████████| 22/22 [00:12<00:00, 1.73it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:00<00:14, 1.47it/s] 9%|▉ | 2/22 [00:01<00:12, 1.64it/s] 14%|█▎ | 3/22 [00:01<00:11, 1.69it/s] 18%|█▊ | 4/22 [00:02<00:10, 1.71it/s] 23%|██▎ | 5/22 [00:03<00:10, 1.68it/s] 27%|██▋ | 6/22 [00:03<00:09, 1.72it/s] 32%|███▏ | 7/22 [00:04<00:08, 1.79it/s] 36%|███▋ | 8/22 [00:04<00:07, 1.78it/s] 41%|████ | 9/22 [00:05<00:07, 1.67it/s] 45%|████▌ | 10/22 [00:05<00:07, 1.61it/s] 50%|█████ | 11/22 [00:06<00:06, 1.65it/s] 55%|█████▍ | 12/22 [00:07<00:06, 1.65it/s] 59%|█████▉ | 13/22 [00:07<00:05, 1.62it/s] 64%|██████▎ | 14/22 [00:08<00:04, 1.66it/s] 68%|██████▊ | 15/22 [00:08<00:04, 1.70it/s] 73%|███████▎ | 16/22 [00:09<00:03, 1.74it/s] 77%|███████▋ | 17/22 [00:10<00:02, 1.68it/s] 82%|████████▏ | 18/22 [00:10<00:02, 1.72it/s] 86%|████████▋ | 19/22 [00:11<00:01, 1.66it/s] 91%|█████████ | 20/22 [00:11<00:01, 1.70it/s] 95%|█████████▌| 21/22 [00:12<00:00, 1.93it/s] 100%|██████████| 22/22 [00:12<00:00, 2.17it/s] 100%|██████████| 22/22 [00:12<00:00, 1.75it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.