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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/46066887534846bba2732e8534213b02/00000-2315190531.webp
https://files.tungsten.run/uploads/d8f05f8f54c048488a974ac25571679f/00001-2315190532.webp
https://files.tungsten.run/uploads/3a4abfcb53bb4dbf96b954e4c4d7b3c9/00002-2315190533.webp
This example was created by evevalentine2017
Finished in 140.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Renaissance Courtier, Opulent Attire, Royal Palace Gardens, Historical Portrait, Realistic, Oil Painting Style, High-Res Digital Art (8K), Nikon D850 Full negative prompt: nipples, covered nipples, simple background, blurry, monochrome, 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:26, 1.76s/it] 4%|▍ | 2/50 [00:03<01:31, 1.91s/it] 6%|▌ | 3/50 [00:06<01:36, 2.06s/it] 8%|▊ | 4/50 [00:08<01:35, 2.08s/it] 10%|█ | 5/50 [00:10<01:31, 2.03s/it] 12%|█▏ | 6/50 [00:12<01:30, 2.05s/it] 14%|█▍ | 7/50 [00:14<01:28, 2.07s/it] 16%|█▌ | 8/50 [00:16<01:27, 2.08s/it] 18%|█▊ | 9/50 [00:18<01:23, 2.05s/it] 20%|██ | 10/50 [00:20<01:20, 2.02s/it] 22%|██▏ | 11/50 [00:22<01:16, 1.97s/it] 24%|██▍ | 12/50 [00:24<01:16, 2.02s/it] 26%|██▌ | 13/50 [00:26<01:13, 1.98s/it] 28%|██▊ | 14/50 [00:28<01:11, 1.98s/it] 30%|███ | 15/50 [00:30<01:08, 1.96s/it] 32%|███▏ | 16/50 [00:31<01:06, 1.94s/it] 34%|███▍ | 17/50 [00:33<01:03, 1.93s/it] 36%|███▌ | 18/50 [00:35<01:01, 1.93s/it] 38%|███▊ | 19/50 [00:37<00:59, 1.91s/it] 40%|████ | 20/50 [00:39<00:57, 1.93s/it] 42%|████▏ | 21/50 [00:41<00:56, 1.95s/it] 44%|████▍ | 22/50 [00:43<00:53, 1.92s/it] 46%|████▌ | 23/50 [00:45<00:52, 1.94s/it] 48%|████▊ | 24/50 [00:47<00:50, 1.93s/it] 50%|█████ | 25/50 [00:49<00:48, 1.95s/it] 52%|█████▏ | 26/50 [00:51<00:46, 1.93s/it] 54%|█████▍ | 27/50 [00:52<00:43, 1.87s/it] 56%|█████▌ | 28/50 [00:54<00:41, 1.91s/it] 58%|█████▊ | 29/50 [00:56<00:39, 1.90s/it] 60%|██████ | 30/50 [00:58<00:37, 1.90s/it] 62%|██████▏ | 31/50 [01:00<00:35, 1.86s/it] 64%|██████▍ | 32/50 [01:02<00:32, 1.83s/it] 66%|██████▌ | 33/50 [01:04<00:32, 1.89s/it] 68%|██████▊ | 34/50 [01:06<00:29, 1.85s/it] 70%|███████ | 35/50 [01:07<00:27, 1.83s/it] 72%|███████▏ | 36/50 [01:09<00:24, 1.78s/it] 74%|███████▍ | 37/50 [01:11<00:23, 1.79s/it] 76%|███████▌ | 38/50 [01:13<00:21, 1.77s/it] 78%|███████▊ | 39/50 [01:14<00:19, 1.74s/it] 80%|████████ | 40/50 [01:16<00:16, 1.68s/it] 82%|████████▏ | 41/50 [01:17<00:14, 1.66s/it] 84%|████████▍ | 42/50 [01:19<00:13, 1.64s/it] 86%|████████▌ | 43/50 [01:21<00:12, 1.72s/it] 88%|████████▊ | 44/50 [01:23<00:10, 1.69s/it] 90%|█████████ | 45/50 [01:24<00:08, 1.71s/it] 92%|█████████▏| 46/50 [01:26<00:06, 1.70s/it] 94%|█████████▍| 47/50 [01:28<00:05, 1.74s/it] 96%|█████████▌| 48/50 [01:29<00:03, 1.66s/it] 98%|█████████▊| 49/50 [01:30<00:01, 1.48s/it] 100%|██████████| 50/50 [01:31<00:00, 1.32s/it] 100%|██████████| 50/50 [01:31<00:00, 1.84s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:18, 1.19it/s] 9%|▊ | 2/23 [00:01<00:15, 1.38it/s] 13%|█▎ | 3/23 [00:02<00:14, 1.37it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.47it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.54it/s] 26%|██▌ | 6/23 [00:04<00:11, 1.50it/s] 30%|███ | 7/23 [00:04<00:10, 1.55it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.58it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.62it/s] 43%|████▎ | 10/23 [00:06<00:08, 1.62it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.65it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.69it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.75it/s] 61%|██████ | 14/23 [00:08<00:05, 1.77it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.79it/s] 70%|██████▉ | 16/23 [00:09<00:04, 1.73it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.77it/s] 78%|███████▊ | 18/23 [00:11<00:02, 1.71it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.73it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.60it/s] 91%|█████████▏| 21/23 [00:12<00:01, 1.71it/s] 96%|█████████▌| 22/23 [00:13<00:00, 1.93it/s] 100%|██████████| 23/23 [00:13<00:00, 2.16it/s] 100%|██████████| 23/23 [00:13<00:00, 1.70it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:14, 1.48it/s] 9%|▊ | 2/23 [00:01<00:14, 1.42it/s] 13%|█▎ | 3/23 [00:02<00:13, 1.48it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.55it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.59it/s] 26%|██▌ | 6/23 [00:03<00:11, 1.54it/s] 30%|███ | 7/23 [00:04<00:10, 1.59it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.58it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.63it/s] 43%|████▎ | 10/23 [00:06<00:07, 1.63it/s] 48%|████▊ | 11/23 [00:06<00:07, 1.66it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.65it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.73it/s] 61%|██████ | 14/23 [00:08<00:05, 1.75it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.77it/s] 70%|██████▉ | 16/23 [00:09<00:04, 1.72it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.75it/s] 78%|███████▊ | 18/23 [00:10<00:02, 1.72it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.73it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.71it/s] 91%|█████████▏| 21/23 [00:12<00:01, 1.80it/s] 96%|█████████▌| 22/23 [00:12<00:00, 2.00it/s] 100%|██████████| 23/23 [00:13<00:00, 2.25it/s] 100%|██████████| 23/23 [00:13<00:00, 1.73it/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<00:16, 1.30it/s] 9%|▊ | 2/23 [00:01<00:15, 1.35it/s] 13%|█▎ | 3/23 [00:02<00:14, 1.37it/s] 17%|█▋ | 4/23 [00:02<00:13, 1.41it/s] 22%|██▏ | 5/23 [00:03<00:12, 1.49it/s] 26%|██▌ | 6/23 [00:04<00:11, 1.48it/s] 30%|███ | 7/23 [00:04<00:10, 1.55it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.56it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.63it/s] 43%|████▎ | 10/23 [00:06<00:07, 1.63it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.66it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.69it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.75it/s] 61%|██████ | 14/23 [00:08<00:05, 1.77it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.80it/s] 70%|██████▉ | 16/23 [00:09<00:04, 1.73it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.77it/s] 78%|███████▊ | 18/23 [00:11<00:02, 1.76it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.75it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.72it/s] 91%|█████████▏| 21/23 [00:12<00:01, 1.80it/s] 96%|█████████▌| 22/23 [00:13<00:00, 2.00it/s] 100%|██████████| 23/23 [00:13<00:00, 2.24it/s] 100%|██████████| 23/23 [00:13<00:00, 1.71it/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/46066887534846bba2732e8534213b02/00000-2315190531.webp
https://files.tungsten.run/uploads/d8f05f8f54c048488a974ac25571679f/00001-2315190532.webp
https://files.tungsten.run/uploads/3a4abfcb53bb4dbf96b954e4c4d7b3c9/00002-2315190533.webp
This example was created by evevalentine2017
Finished in 140.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Renaissance Courtier, Opulent Attire, Royal Palace Gardens, Historical Portrait, Realistic, Oil Painting Style, High-Res Digital Art (8K), Nikon D850 Full negative prompt: nipples, covered nipples, simple background, blurry, monochrome, 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:26, 1.76s/it] 4%|▍ | 2/50 [00:03<01:31, 1.91s/it] 6%|▌ | 3/50 [00:06<01:36, 2.06s/it] 8%|▊ | 4/50 [00:08<01:35, 2.08s/it] 10%|█ | 5/50 [00:10<01:31, 2.03s/it] 12%|█▏ | 6/50 [00:12<01:30, 2.05s/it] 14%|█▍ | 7/50 [00:14<01:28, 2.07s/it] 16%|█▌ | 8/50 [00:16<01:27, 2.08s/it] 18%|█▊ | 9/50 [00:18<01:23, 2.05s/it] 20%|██ | 10/50 [00:20<01:20, 2.02s/it] 22%|██▏ | 11/50 [00:22<01:16, 1.97s/it] 24%|██▍ | 12/50 [00:24<01:16, 2.02s/it] 26%|██▌ | 13/50 [00:26<01:13, 1.98s/it] 28%|██▊ | 14/50 [00:28<01:11, 1.98s/it] 30%|███ | 15/50 [00:30<01:08, 1.96s/it] 32%|███▏ | 16/50 [00:31<01:06, 1.94s/it] 34%|███▍ | 17/50 [00:33<01:03, 1.93s/it] 36%|███▌ | 18/50 [00:35<01:01, 1.93s/it] 38%|███▊ | 19/50 [00:37<00:59, 1.91s/it] 40%|████ | 20/50 [00:39<00:57, 1.93s/it] 42%|████▏ | 21/50 [00:41<00:56, 1.95s/it] 44%|████▍ | 22/50 [00:43<00:53, 1.92s/it] 46%|████▌ | 23/50 [00:45<00:52, 1.94s/it] 48%|████▊ | 24/50 [00:47<00:50, 1.93s/it] 50%|█████ | 25/50 [00:49<00:48, 1.95s/it] 52%|█████▏ | 26/50 [00:51<00:46, 1.93s/it] 54%|█████▍ | 27/50 [00:52<00:43, 1.87s/it] 56%|█████▌ | 28/50 [00:54<00:41, 1.91s/it] 58%|█████▊ | 29/50 [00:56<00:39, 1.90s/it] 60%|██████ | 30/50 [00:58<00:37, 1.90s/it] 62%|██████▏ | 31/50 [01:00<00:35, 1.86s/it] 64%|██████▍ | 32/50 [01:02<00:32, 1.83s/it] 66%|██████▌ | 33/50 [01:04<00:32, 1.89s/it] 68%|██████▊ | 34/50 [01:06<00:29, 1.85s/it] 70%|███████ | 35/50 [01:07<00:27, 1.83s/it] 72%|███████▏ | 36/50 [01:09<00:24, 1.78s/it] 74%|███████▍ | 37/50 [01:11<00:23, 1.79s/it] 76%|███████▌ | 38/50 [01:13<00:21, 1.77s/it] 78%|███████▊ | 39/50 [01:14<00:19, 1.74s/it] 80%|████████ | 40/50 [01:16<00:16, 1.68s/it] 82%|████████▏ | 41/50 [01:17<00:14, 1.66s/it] 84%|████████▍ | 42/50 [01:19<00:13, 1.64s/it] 86%|████████▌ | 43/50 [01:21<00:12, 1.72s/it] 88%|████████▊ | 44/50 [01:23<00:10, 1.69s/it] 90%|█████████ | 45/50 [01:24<00:08, 1.71s/it] 92%|█████████▏| 46/50 [01:26<00:06, 1.70s/it] 94%|█████████▍| 47/50 [01:28<00:05, 1.74s/it] 96%|█████████▌| 48/50 [01:29<00:03, 1.66s/it] 98%|█████████▊| 49/50 [01:30<00:01, 1.48s/it] 100%|██████████| 50/50 [01:31<00:00, 1.32s/it] 100%|██████████| 50/50 [01:31<00:00, 1.84s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:18, 1.19it/s] 9%|▊ | 2/23 [00:01<00:15, 1.38it/s] 13%|█▎ | 3/23 [00:02<00:14, 1.37it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.47it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.54it/s] 26%|██▌ | 6/23 [00:04<00:11, 1.50it/s] 30%|███ | 7/23 [00:04<00:10, 1.55it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.58it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.62it/s] 43%|████▎ | 10/23 [00:06<00:08, 1.62it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.65it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.69it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.75it/s] 61%|██████ | 14/23 [00:08<00:05, 1.77it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.79it/s] 70%|██████▉ | 16/23 [00:09<00:04, 1.73it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.77it/s] 78%|███████▊ | 18/23 [00:11<00:02, 1.71it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.73it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.60it/s] 91%|█████████▏| 21/23 [00:12<00:01, 1.71it/s] 96%|█████████▌| 22/23 [00:13<00:00, 1.93it/s] 100%|██████████| 23/23 [00:13<00:00, 2.16it/s] 100%|██████████| 23/23 [00:13<00:00, 1.70it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:14, 1.48it/s] 9%|▊ | 2/23 [00:01<00:14, 1.42it/s] 13%|█▎ | 3/23 [00:02<00:13, 1.48it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.55it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.59it/s] 26%|██▌ | 6/23 [00:03<00:11, 1.54it/s] 30%|███ | 7/23 [00:04<00:10, 1.59it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.58it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.63it/s] 43%|████▎ | 10/23 [00:06<00:07, 1.63it/s] 48%|████▊ | 11/23 [00:06<00:07, 1.66it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.65it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.73it/s] 61%|██████ | 14/23 [00:08<00:05, 1.75it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.77it/s] 70%|██████▉ | 16/23 [00:09<00:04, 1.72it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.75it/s] 78%|███████▊ | 18/23 [00:10<00:02, 1.72it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.73it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.71it/s] 91%|█████████▏| 21/23 [00:12<00:01, 1.80it/s] 96%|█████████▌| 22/23 [00:12<00:00, 2.00it/s] 100%|██████████| 23/23 [00:13<00:00, 2.25it/s] 100%|██████████| 23/23 [00:13<00:00, 1.73it/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<00:16, 1.30it/s] 9%|▊ | 2/23 [00:01<00:15, 1.35it/s] 13%|█▎ | 3/23 [00:02<00:14, 1.37it/s] 17%|█▋ | 4/23 [00:02<00:13, 1.41it/s] 22%|██▏ | 5/23 [00:03<00:12, 1.49it/s] 26%|██▌ | 6/23 [00:04<00:11, 1.48it/s] 30%|███ | 7/23 [00:04<00:10, 1.55it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.56it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.63it/s] 43%|████▎ | 10/23 [00:06<00:07, 1.63it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.66it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.69it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.75it/s] 61%|██████ | 14/23 [00:08<00:05, 1.77it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.80it/s] 70%|██████▉ | 16/23 [00:09<00:04, 1.73it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.77it/s] 78%|███████▊ | 18/23 [00:11<00:02, 1.76it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.75it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.72it/s] 91%|█████████▏| 21/23 [00:12<00:01, 1.80it/s] 96%|█████████▌| 22/23 [00:13<00:00, 2.00it/s] 100%|██████████| 23/23 [00:13<00:00, 2.24it/s] 100%|██████████| 23/23 [00:13<00:00, 1.71it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.