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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/c284729ccad6419783857e96a2455bde/00000-1234029667.webp
https://files.tungsten.run/uploads/841776d3e32e492e9780d19a91081173/00001-1234029668.webp
https://files.tungsten.run/uploads/3aaac8de5251419d94f33ad5bfcd3a58/00002-1234029669.webp
This example was created by evevalentine2017
Finished in 148.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (serene scene, shine, glimmer, glitter, night), 20 years old Yemeni young woman, sharp, highly detailed, (semirealistic), cute eyes, soft skin, sexy, standing, autumn, Full negative prompt: nipples, covered nipples, simple background, blurry, portrait, posing, 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:20, 1.65s/it] 4%|▍ | 2/50 [00:03<01:27, 1.83s/it] 6%|▌ | 3/50 [00:05<01:31, 1.95s/it] 8%|▊ | 4/50 [00:07<01:30, 1.98s/it] 10%|█ | 5/50 [00:09<01:28, 1.97s/it] 12%|█▏ | 6/50 [00:11<01:29, 2.03s/it] 14%|█▍ | 7/50 [00:13<01:28, 2.07s/it] 16%|█▌ | 8/50 [00:16<01:27, 2.08s/it] 18%|█▊ | 9/50 [00:18<01:24, 2.06s/it] 20%|██ | 10/50 [00:20<01:21, 2.04s/it] 22%|██▏ | 11/50 [00:22<01:18, 2.00s/it] 24%|██▍ | 12/50 [00:24<01:19, 2.09s/it] 26%|██▌ | 13/50 [00:26<01:15, 2.05s/it] 28%|██▊ | 14/50 [00:28<01:14, 2.06s/it] 30%|███ | 15/50 [00:30<01:11, 2.04s/it] 32%|███▏ | 16/50 [00:32<01:08, 2.02s/it] 34%|███▍ | 17/50 [00:34<01:05, 2.00s/it] 36%|███▌ | 18/50 [00:36<01:03, 1.99s/it] 38%|███▊ | 19/50 [00:38<01:01, 1.98s/it] 40%|████ | 20/50 [00:40<01:00, 2.00s/it] 42%|████▏ | 21/50 [00:42<00:58, 2.00s/it] 44%|████▍ | 22/50 [00:44<00:55, 1.97s/it] 46%|████▌ | 23/50 [00:46<00:53, 1.97s/it] 48%|████▊ | 24/50 [00:48<00:51, 1.96s/it] 50%|█████ | 25/50 [00:50<00:49, 1.98s/it] 52%|█████▏ | 26/50 [00:51<00:46, 1.96s/it] 54%|█████▍ | 27/50 [00:53<00:43, 1.91s/it] 56%|█████▌ | 28/50 [00:55<00:42, 1.95s/it] 58%|█████▊ | 29/50 [00:57<00:41, 1.97s/it] 60%|██████ | 30/50 [00:59<00:39, 1.98s/it] 62%|██████▏ | 31/50 [01:01<00:36, 1.93s/it] 64%|██████▍ | 32/50 [01:03<00:33, 1.89s/it] 66%|██████▌ | 33/50 [01:05<00:33, 1.94s/it] 68%|██████▊ | 34/50 [01:07<00:30, 1.89s/it] 70%|███████ | 35/50 [01:09<00:28, 1.87s/it] 72%|███████▏ | 36/50 [01:10<00:25, 1.82s/it] 74%|███████▍ | 37/50 [01:12<00:23, 1.83s/it] 76%|███████▌ | 38/50 [01:14<00:21, 1.82s/it] 78%|███████▊ | 39/50 [01:16<00:19, 1.79s/it] 80%|████████ | 40/50 [01:17<00:17, 1.73s/it] 82%|████████▏ | 41/50 [01:19<00:15, 1.70s/it] 84%|████████▍ | 42/50 [01:21<00:13, 1.69s/it] 86%|████████▌ | 43/50 [01:22<00:12, 1.74s/it] 88%|████████▊ | 44/50 [01:24<00:10, 1.70s/it] 90%|█████████ | 45/50 [01:26<00:08, 1.71s/it] 92%|█████████▏| 46/50 [01:28<00:06, 1.73s/it] 94%|█████████▍| 47/50 [01:29<00:05, 1.75s/it] 96%|█████████▌| 48/50 [01:31<00:03, 1.67s/it] 98%|█████████▊| 49/50 [01:32<00:01, 1.49s/it] 100%|██████████| 50/50 [01:33<00:00, 1.33s/it] 100%|██████████| 50/50 [01:33<00:00, 1.87s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 169.5ms Speed: 2.7ms preprocess, 169.5ms inference, 21.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:18, 1.20it/s] 9%|▊ | 2/23 [00:01<00:15, 1.36it/s] 13%|█▎ | 3/23 [00:02<00:14, 1.42it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.50it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.54it/s] 26%|██▌ | 6/23 [00:04<00:11, 1.49it/s] 30%|███ | 7/23 [00:04<00:10, 1.51it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.55it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.60it/s] 43%|████▎ | 10/23 [00:06<00:08, 1.59it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.59it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.60it/s] 57%|█████▋ | 13/23 [00:08<00:06, 1.65it/s] 61%|██████ | 14/23 [00:08<00:05, 1.66it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.69it/s] 70%|██████▉ | 16/23 [00:10<00:04, 1.65it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.69it/s] 78%|███████▊ | 18/23 [00:11<00:02, 1.68it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.68it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.66it/s] 91%|█████████▏| 21/23 [00:13<00:01, 1.73it/s] 96%|█████████▌| 22/23 [00:13<00:00, 1.94it/s] 100%|██████████| 23/23 [00:13<00:00, 2.17it/s] 100%|██████████| 23/23 [00:13<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 25.8ms Speed: 2.6ms preprocess, 25.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.39it/s] 9%|▊ | 2/23 [00:01<00:14, 1.45it/s] 13%|█▎ | 3/23 [00:02<00:13, 1.48it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.53it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.57it/s] 26%|██▌ | 6/23 [00:03<00:11, 1.50it/s] 30%|███ | 7/23 [00:04<00:10, 1.55it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.57it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.61it/s] 43%|████▎ | 10/23 [00:06<00:08, 1.57it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.59it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.62it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.69it/s] 61%|██████ | 14/23 [00:08<00:05, 1.69it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.69it/s] 70%|██████▉ | 16/23 [00:10<00:04, 1.62it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.65it/s] 78%|███████▊ | 18/23 [00:11<00:03, 1.64it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.65it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.60it/s] 91%|█████████▏| 21/23 [00:13<00:01, 1.69it/s] 96%|█████████▌| 22/23 [00:13<00:00, 1.91it/s] 100%|██████████| 23/23 [00:13<00:00, 2.15it/s] 100%|██████████| 23/23 [00:13<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.46it/s] 9%|▊ | 2/23 [00:01<00:13, 1.51it/s] 13%|█▎ | 3/23 [00:01<00:13, 1.53it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.55it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.56it/s] 26%|██▌ | 6/23 [00:03<00:11, 1.51it/s] 30%|███ | 7/23 [00:04<00:10, 1.54it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.53it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.59it/s] 43%|████▎ | 10/23 [00:06<00:08, 1.59it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.61it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.64it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.71it/s] 61%|██████ | 14/23 [00:08<00:05, 1.71it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.72it/s] 70%|██████▉ | 16/23 [00:09<00:04, 1.68it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.72it/s] 78%|███████▊ | 18/23 [00:11<00:02, 1.71it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.71it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.70it/s] 91%|█████████▏| 21/23 [00:12<00:01, 1.78it/s] 96%|█████████▌| 22/23 [00:13<00:00, 1.98it/s] 100%|██████████| 23/23 [00:13<00:00, 2.22it/s] 100%|██████████| 23/23 [00:13<00:00, 1.71it/s] Decoding latents in cuda:0... done in 0.59s 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/c284729ccad6419783857e96a2455bde/00000-1234029667.webp
https://files.tungsten.run/uploads/841776d3e32e492e9780d19a91081173/00001-1234029668.webp
https://files.tungsten.run/uploads/3aaac8de5251419d94f33ad5bfcd3a58/00002-1234029669.webp
This example was created by evevalentine2017
Finished in 148.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (serene scene, shine, glimmer, glitter, night), 20 years old Yemeni young woman, sharp, highly detailed, (semirealistic), cute eyes, soft skin, sexy, standing, autumn, Full negative prompt: nipples, covered nipples, simple background, blurry, portrait, posing, 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:20, 1.65s/it] 4%|▍ | 2/50 [00:03<01:27, 1.83s/it] 6%|▌ | 3/50 [00:05<01:31, 1.95s/it] 8%|▊ | 4/50 [00:07<01:30, 1.98s/it] 10%|█ | 5/50 [00:09<01:28, 1.97s/it] 12%|█▏ | 6/50 [00:11<01:29, 2.03s/it] 14%|█▍ | 7/50 [00:13<01:28, 2.07s/it] 16%|█▌ | 8/50 [00:16<01:27, 2.08s/it] 18%|█▊ | 9/50 [00:18<01:24, 2.06s/it] 20%|██ | 10/50 [00:20<01:21, 2.04s/it] 22%|██▏ | 11/50 [00:22<01:18, 2.00s/it] 24%|██▍ | 12/50 [00:24<01:19, 2.09s/it] 26%|██▌ | 13/50 [00:26<01:15, 2.05s/it] 28%|██▊ | 14/50 [00:28<01:14, 2.06s/it] 30%|███ | 15/50 [00:30<01:11, 2.04s/it] 32%|███▏ | 16/50 [00:32<01:08, 2.02s/it] 34%|███▍ | 17/50 [00:34<01:05, 2.00s/it] 36%|███▌ | 18/50 [00:36<01:03, 1.99s/it] 38%|███▊ | 19/50 [00:38<01:01, 1.98s/it] 40%|████ | 20/50 [00:40<01:00, 2.00s/it] 42%|████▏ | 21/50 [00:42<00:58, 2.00s/it] 44%|████▍ | 22/50 [00:44<00:55, 1.97s/it] 46%|████▌ | 23/50 [00:46<00:53, 1.97s/it] 48%|████▊ | 24/50 [00:48<00:51, 1.96s/it] 50%|█████ | 25/50 [00:50<00:49, 1.98s/it] 52%|█████▏ | 26/50 [00:51<00:46, 1.96s/it] 54%|█████▍ | 27/50 [00:53<00:43, 1.91s/it] 56%|█████▌ | 28/50 [00:55<00:42, 1.95s/it] 58%|█████▊ | 29/50 [00:57<00:41, 1.97s/it] 60%|██████ | 30/50 [00:59<00:39, 1.98s/it] 62%|██████▏ | 31/50 [01:01<00:36, 1.93s/it] 64%|██████▍ | 32/50 [01:03<00:33, 1.89s/it] 66%|██████▌ | 33/50 [01:05<00:33, 1.94s/it] 68%|██████▊ | 34/50 [01:07<00:30, 1.89s/it] 70%|███████ | 35/50 [01:09<00:28, 1.87s/it] 72%|███████▏ | 36/50 [01:10<00:25, 1.82s/it] 74%|███████▍ | 37/50 [01:12<00:23, 1.83s/it] 76%|███████▌ | 38/50 [01:14<00:21, 1.82s/it] 78%|███████▊ | 39/50 [01:16<00:19, 1.79s/it] 80%|████████ | 40/50 [01:17<00:17, 1.73s/it] 82%|████████▏ | 41/50 [01:19<00:15, 1.70s/it] 84%|████████▍ | 42/50 [01:21<00:13, 1.69s/it] 86%|████████▌ | 43/50 [01:22<00:12, 1.74s/it] 88%|████████▊ | 44/50 [01:24<00:10, 1.70s/it] 90%|█████████ | 45/50 [01:26<00:08, 1.71s/it] 92%|█████████▏| 46/50 [01:28<00:06, 1.73s/it] 94%|█████████▍| 47/50 [01:29<00:05, 1.75s/it] 96%|█████████▌| 48/50 [01:31<00:03, 1.67s/it] 98%|█████████▊| 49/50 [01:32<00:01, 1.49s/it] 100%|██████████| 50/50 [01:33<00:00, 1.33s/it] 100%|██████████| 50/50 [01:33<00:00, 1.87s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 169.5ms Speed: 2.7ms preprocess, 169.5ms inference, 21.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:18, 1.20it/s] 9%|▊ | 2/23 [00:01<00:15, 1.36it/s] 13%|█▎ | 3/23 [00:02<00:14, 1.42it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.50it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.54it/s] 26%|██▌ | 6/23 [00:04<00:11, 1.49it/s] 30%|███ | 7/23 [00:04<00:10, 1.51it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.55it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.60it/s] 43%|████▎ | 10/23 [00:06<00:08, 1.59it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.59it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.60it/s] 57%|█████▋ | 13/23 [00:08<00:06, 1.65it/s] 61%|██████ | 14/23 [00:08<00:05, 1.66it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.69it/s] 70%|██████▉ | 16/23 [00:10<00:04, 1.65it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.69it/s] 78%|███████▊ | 18/23 [00:11<00:02, 1.68it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.68it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.66it/s] 91%|█████████▏| 21/23 [00:13<00:01, 1.73it/s] 96%|█████████▌| 22/23 [00:13<00:00, 1.94it/s] 100%|██████████| 23/23 [00:13<00:00, 2.17it/s] 100%|██████████| 23/23 [00:13<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 25.8ms Speed: 2.6ms preprocess, 25.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.39it/s] 9%|▊ | 2/23 [00:01<00:14, 1.45it/s] 13%|█▎ | 3/23 [00:02<00:13, 1.48it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.53it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.57it/s] 26%|██▌ | 6/23 [00:03<00:11, 1.50it/s] 30%|███ | 7/23 [00:04<00:10, 1.55it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.57it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.61it/s] 43%|████▎ | 10/23 [00:06<00:08, 1.57it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.59it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.62it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.69it/s] 61%|██████ | 14/23 [00:08<00:05, 1.69it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.69it/s] 70%|██████▉ | 16/23 [00:10<00:04, 1.62it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.65it/s] 78%|███████▊ | 18/23 [00:11<00:03, 1.64it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.65it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.60it/s] 91%|█████████▏| 21/23 [00:13<00:01, 1.69it/s] 96%|█████████▌| 22/23 [00:13<00:00, 1.91it/s] 100%|██████████| 23/23 [00:13<00:00, 2.15it/s] 100%|██████████| 23/23 [00:13<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.46it/s] 9%|▊ | 2/23 [00:01<00:13, 1.51it/s] 13%|█▎ | 3/23 [00:01<00:13, 1.53it/s] 17%|█▋ | 4/23 [00:02<00:12, 1.55it/s] 22%|██▏ | 5/23 [00:03<00:11, 1.56it/s] 26%|██▌ | 6/23 [00:03<00:11, 1.51it/s] 30%|███ | 7/23 [00:04<00:10, 1.54it/s] 35%|███▍ | 8/23 [00:05<00:09, 1.53it/s] 39%|███▉ | 9/23 [00:05<00:08, 1.59it/s] 43%|████▎ | 10/23 [00:06<00:08, 1.59it/s] 48%|████▊ | 11/23 [00:07<00:07, 1.61it/s] 52%|█████▏ | 12/23 [00:07<00:06, 1.64it/s] 57%|█████▋ | 13/23 [00:08<00:05, 1.71it/s] 61%|██████ | 14/23 [00:08<00:05, 1.71it/s] 65%|██████▌ | 15/23 [00:09<00:04, 1.72it/s] 70%|██████▉ | 16/23 [00:09<00:04, 1.68it/s] 74%|███████▍ | 17/23 [00:10<00:03, 1.72it/s] 78%|███████▊ | 18/23 [00:11<00:02, 1.71it/s] 83%|████████▎ | 19/23 [00:11<00:02, 1.71it/s] 87%|████████▋ | 20/23 [00:12<00:01, 1.70it/s] 91%|█████████▏| 21/23 [00:12<00:01, 1.78it/s] 96%|█████████▌| 22/23 [00:13<00:00, 1.98it/s] 100%|██████████| 23/23 [00:13<00:00, 2.22it/s] 100%|██████████| 23/23 [00:13<00:00, 1.71it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s Uploading outputs... Finished.