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hello-world-sdxl
hello-world-sdxl

hello-world-sdxl

8 stars
Version: v3.2
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/f89eb76908bc494a90b29222e0e11500/00000-2670442016.webp
https://files.tungsten.run/uploads/088224d86eb94a5b82bc8c95668588d3/00001-2670442017.webp
https://files.tungsten.run/uploads/0c5102e088c74387bd86b30a672eaea6/00002-2670442018.webp
This example was created by evevalentine2017
Finished in 167.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: coquelicot, beautiful woman, (looking away), sorrowful expression, faded elegance, poignant atmosphere, lost beauty, melancholic aura, hauntingly captivating, timeless grief, stark contrast, delicate decay, line art, backlighting, wind, backlighting, stardust, (wind:1.2), knight, orange blood, <lora:SDXL Detail:1> Full negative prompt: (worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, looking at the viewer 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:04<02:08, 4.41s/it] 7%|▋ | 2/30 [00:07<01:35, 3.39s/it] 10%|█ | 3/30 [00:09<01:22, 3.07s/it] 13%|█▎ | 4/30 [00:12<01:15, 2.92s/it] 17%|█▋ | 5/30 [00:15<01:11, 2.85s/it] 20%|██ | 6/30 [00:17<01:07, 2.80s/it] 23%|██▎ | 7/30 [00:20<01:03, 2.77s/it] 27%|██▋ | 8/30 [00:23<01:00, 2.75s/it] 30%|███ | 9/30 [00:26<00:57, 2.74s/it] 33%|███▎ | 10/30 [00:28<00:54, 2.73s/it] 37%|███▋ | 11/30 [00:31<00:51, 2.72s/it] 40%|████ | 12/30 [00:34<00:48, 2.71s/it] 43%|████▎ | 13/30 [00:36<00:45, 2.70s/it] 47%|████▋ | 14/30 [00:39<00:43, 2.69s/it] 50%|█████ | 15/30 [00:42<00:40, 2.69s/it] 53%|█████▎ | 16/30 [00:44<00:37, 2.69s/it] 57%|█████▋ | 17/30 [00:47<00:34, 2.68s/it] 60%|██████ | 18/30 [00:50<00:32, 2.69s/it] 63%|██████▎ | 19/30 [00:52<00:29, 2.69s/it] 67%|██████▋ | 20/30 [00:55<00:26, 2.68s/it] 70%|███████ | 21/30 [00:58<00:24, 2.68s/it] 73%|███████▎ | 22/30 [01:00<00:21, 2.68s/it] 77%|███████▋ | 23/30 [01:03<00:18, 2.67s/it] 80%|████████ | 24/30 [01:06<00:16, 2.67s/it] 83%|████████▎ | 25/30 [01:08<00:13, 2.67s/it] 87%|████████▋ | 26/30 [01:11<00:10, 2.66s/it] 90%|█████████ | 27/30 [01:14<00:07, 2.66s/it] 93%|█████████▎| 28/30 [01:16<00:05, 2.66s/it] 97%|█████████▋| 29/30 [01:19<00:02, 2.66s/it] 100%|██████████| 30/30 [01:20<00:00, 2.26s/it] 100%|██████████| 30/30 [01:20<00:00, 2.70s/it] Decoding latents in cuda:0... done in 2.4s Move latents to cpu... done in 0.03s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:11, 1.17it/s] 14%|█▍ | 2/14 [00:01<00:10, 1.20it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.21it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.21it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.22it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.44it/s] 100%|██████████| 14/14 [00:11<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.26it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:08, 1.22it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.22it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.44it/s] 100%|██████████| 14/14 [00:11<00:00, 1.27it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.26it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:08, 1.23it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:05, 1.08it/s] 64%|██████▍ | 9/14 [00:08<00:05, 1.09s/it] 71%|███████▏ | 10/14 [00:09<00:04, 1.15s/it] 79%|███████▊ | 11/14 [00:10<00:03, 1.05s/it] 86%|████████▌ | 12/14 [00:11<00:01, 1.02it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.08it/s] 100%|██████████| 14/14 [00:12<00:00, 1.29it/s] 100%|██████████| 14/14 [00:12<00:00, 1.12it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.25it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.22it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.22it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.44it/s] 100%|██████████| 14/14 [00:11<00:00, 1.27it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.26it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.22it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.21it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.43it/s] 100%|██████████| 14/14 [00:11<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.26it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.22it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.21it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.22it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.43it/s] 100%|██████████| 14/14 [00:11<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.8s 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/f89eb76908bc494a90b29222e0e11500/00000-2670442016.webp
https://files.tungsten.run/uploads/088224d86eb94a5b82bc8c95668588d3/00001-2670442017.webp
https://files.tungsten.run/uploads/0c5102e088c74387bd86b30a672eaea6/00002-2670442018.webp
This example was created by evevalentine2017
Finished in 167.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: coquelicot, beautiful woman, (looking away), sorrowful expression, faded elegance, poignant atmosphere, lost beauty, melancholic aura, hauntingly captivating, timeless grief, stark contrast, delicate decay, line art, backlighting, wind, backlighting, stardust, (wind:1.2), knight, orange blood, <lora:SDXL Detail:1> Full negative prompt: (worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, looking at the viewer 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:04<02:08, 4.41s/it] 7%|▋ | 2/30 [00:07<01:35, 3.39s/it] 10%|█ | 3/30 [00:09<01:22, 3.07s/it] 13%|█▎ | 4/30 [00:12<01:15, 2.92s/it] 17%|█▋ | 5/30 [00:15<01:11, 2.85s/it] 20%|██ | 6/30 [00:17<01:07, 2.80s/it] 23%|██▎ | 7/30 [00:20<01:03, 2.77s/it] 27%|██▋ | 8/30 [00:23<01:00, 2.75s/it] 30%|███ | 9/30 [00:26<00:57, 2.74s/it] 33%|███▎ | 10/30 [00:28<00:54, 2.73s/it] 37%|███▋ | 11/30 [00:31<00:51, 2.72s/it] 40%|████ | 12/30 [00:34<00:48, 2.71s/it] 43%|████▎ | 13/30 [00:36<00:45, 2.70s/it] 47%|████▋ | 14/30 [00:39<00:43, 2.69s/it] 50%|█████ | 15/30 [00:42<00:40, 2.69s/it] 53%|█████▎ | 16/30 [00:44<00:37, 2.69s/it] 57%|█████▋ | 17/30 [00:47<00:34, 2.68s/it] 60%|██████ | 18/30 [00:50<00:32, 2.69s/it] 63%|██████▎ | 19/30 [00:52<00:29, 2.69s/it] 67%|██████▋ | 20/30 [00:55<00:26, 2.68s/it] 70%|███████ | 21/30 [00:58<00:24, 2.68s/it] 73%|███████▎ | 22/30 [01:00<00:21, 2.68s/it] 77%|███████▋ | 23/30 [01:03<00:18, 2.67s/it] 80%|████████ | 24/30 [01:06<00:16, 2.67s/it] 83%|████████▎ | 25/30 [01:08<00:13, 2.67s/it] 87%|████████▋ | 26/30 [01:11<00:10, 2.66s/it] 90%|█████████ | 27/30 [01:14<00:07, 2.66s/it] 93%|█████████▎| 28/30 [01:16<00:05, 2.66s/it] 97%|█████████▋| 29/30 [01:19<00:02, 2.66s/it] 100%|██████████| 30/30 [01:20<00:00, 2.26s/it] 100%|██████████| 30/30 [01:20<00:00, 2.70s/it] Decoding latents in cuda:0... done in 2.4s Move latents to cpu... done in 0.03s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:11, 1.17it/s] 14%|█▍ | 2/14 [00:01<00:10, 1.20it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.21it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.21it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.22it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.44it/s] 100%|██████████| 14/14 [00:11<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.26it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:08, 1.22it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.22it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.44it/s] 100%|██████████| 14/14 [00:11<00:00, 1.27it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.26it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:08, 1.23it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:05, 1.08it/s] 64%|██████▍ | 9/14 [00:08<00:05, 1.09s/it] 71%|███████▏ | 10/14 [00:09<00:04, 1.15s/it] 79%|███████▊ | 11/14 [00:10<00:03, 1.05s/it] 86%|████████▌ | 12/14 [00:11<00:01, 1.02it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.08it/s] 100%|██████████| 14/14 [00:12<00:00, 1.29it/s] 100%|██████████| 14/14 [00:12<00:00, 1.12it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.25it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.22it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.22it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.44it/s] 100%|██████████| 14/14 [00:11<00:00, 1.27it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.26it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.22it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.22it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.21it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.43it/s] 100%|██████████| 14/14 [00:11<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.26it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.23it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.22it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.22it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.22it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.22it/s] 50%|█████ | 7/14 [00:05<00:05, 1.21it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.22it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.22it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.22it/s] 86%|████████▌ | 12/14 [00:09<00:01, 1.22it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.22it/s] 100%|██████████| 14/14 [00:11<00:00, 1.43it/s] 100%|██████████| 14/14 [00:11<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s Uploading outputs... Finished.