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
saturation
Adjust saturation
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/a9ffa0e6d84f48f1b0b08ace375da9e3/00000-4124265291.webp
https://files.tungsten.run/uploads/dea03bf8072b445c93dde0dc79486280/00001-4124265292.webp
https://files.tungsten.run/uploads/af2a09f6bbf747d9a8a4ef37dd90fc25/00002-4124265293.webp
https://files.tungsten.run/uploads/e354ea1fb38d493ab03eb423720fd4a5/00003-4124265294.webp
This example was created by evevalentine2017
Finished in 46.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: glyphtech, (cyberpunk) ((cyborg)) monk, vedic mystery, floating over glyphs in front of temple, ((glyphtech, glyphs, hologram, scifi)), <lora:GlyphTech-20:1.5>, <lora:more_details:0.7>,, <lora:add_brightness:-0.17> Full negative prompt: ugly ,more than 2 arms, cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), bad_prompt_version2-neg, ugly, (bad-hands-5), FastNegativeV2 Couldn't find network with name GlyphTech-20 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.25s/it] 7%|▋ | 2/30 [00:01<00:25, 1.10it/s] 10%|█ | 3/30 [00:02<00:21, 1.27it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.35it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.39it/s] 20%|██ | 6/30 [00:04<00:16, 1.43it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.45it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.45it/s] 30%|███ | 9/30 [00:06<00:14, 1.47it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.47it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.47it/s] 40%|████ | 12/30 [00:08<00:12, 1.48it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.48it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.48it/s] 50%|█████ | 15/30 [00:10<00:10, 1.48it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.47it/s] 57%|█████▋ | 17/30 [00:12<00:08, 1.47it/s] 60%|██████ | 18/30 [00:12<00:08, 1.47it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.47it/s] 67%|██████▋ | 20/30 [00:14<00:06, 1.47it/s] 70%|███████ | 21/30 [00:14<00:06, 1.47it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.47it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.47it/s] 80%|████████ | 24/30 [00:16<00:04, 1.47it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.47it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.47it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.47it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.47it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.7ms Speed: 16.6ms preprocess, 8.7ms inference, 48.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name GlyphTech-20 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.32it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.36it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.75it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.00it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.08it/s] 41%|████ | 7/17 [00:01<00:01, 6.14it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.24it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.29it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.30it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.30it/s] 71%|███████ | 12/17 [00:02<00:00, 6.25it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.25it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.27it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.29it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.29it/s] 100%|██████████| 17/17 [00:02<00:00, 6.30it/s] 100%|██████████| 17/17 [00:02<00:00, 6.03it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name GlyphTech-20 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.77it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.51it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.47it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.47it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.47it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.37it/s] 41%|████ | 7/17 [00:01<00:01, 6.37it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.38it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.39it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.35it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.35it/s] 71%|███████ | 12/17 [00:01<00:00, 6.31it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.27it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.31it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.34it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.33it/s] 100%|██████████| 17/17 [00:02<00:00, 6.31it/s] 100%|██████████| 17/17 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name GlyphTech-20 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.73it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.58it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.54it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.54it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.49it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.34it/s] 41%|████ | 7/17 [00:01<00:01, 6.23it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.24it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.29it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.34it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.37it/s] 71%|███████ | 12/17 [00:01<00:00, 6.32it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.22it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.18it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.20it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.26it/s] 100%|██████████| 17/17 [00:02<00:00, 6.29it/s] 100%|██████████| 17/17 [00:02<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name GlyphTech-20 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.77it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.58it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.50it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.46it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.45it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.37it/s] 41%|████ | 7/17 [00:01<00:01, 6.40it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.41it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.39it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.39it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.38it/s] 71%|███████ | 12/17 [00:01<00:00, 6.21it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.22it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.26it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.29it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.33it/s] 100%|██████████| 17/17 [00:02<00:00, 6.34it/s] 100%|██████████| 17/17 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 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
saturation
Adjust saturation
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/a9ffa0e6d84f48f1b0b08ace375da9e3/00000-4124265291.webp
https://files.tungsten.run/uploads/dea03bf8072b445c93dde0dc79486280/00001-4124265292.webp
https://files.tungsten.run/uploads/af2a09f6bbf747d9a8a4ef37dd90fc25/00002-4124265293.webp
https://files.tungsten.run/uploads/e354ea1fb38d493ab03eb423720fd4a5/00003-4124265294.webp
This example was created by evevalentine2017
Finished in 46.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: glyphtech, (cyberpunk) ((cyborg)) monk, vedic mystery, floating over glyphs in front of temple, ((glyphtech, glyphs, hologram, scifi)), <lora:GlyphTech-20:1.5>, <lora:more_details:0.7>,, <lora:add_brightness:-0.17> Full negative prompt: ugly ,more than 2 arms, cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), bad_prompt_version2-neg, ugly, (bad-hands-5), FastNegativeV2 Couldn't find network with name GlyphTech-20 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.25s/it] 7%|▋ | 2/30 [00:01<00:25, 1.10it/s] 10%|█ | 3/30 [00:02<00:21, 1.27it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.35it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.39it/s] 20%|██ | 6/30 [00:04<00:16, 1.43it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.45it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.45it/s] 30%|███ | 9/30 [00:06<00:14, 1.47it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.47it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.47it/s] 40%|████ | 12/30 [00:08<00:12, 1.48it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.48it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.48it/s] 50%|█████ | 15/30 [00:10<00:10, 1.48it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.47it/s] 57%|█████▋ | 17/30 [00:12<00:08, 1.47it/s] 60%|██████ | 18/30 [00:12<00:08, 1.47it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.47it/s] 67%|██████▋ | 20/30 [00:14<00:06, 1.47it/s] 70%|███████ | 21/30 [00:14<00:06, 1.47it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.47it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.47it/s] 80%|████████ | 24/30 [00:16<00:04, 1.47it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.47it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.47it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.47it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.47it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.7ms Speed: 16.6ms preprocess, 8.7ms inference, 48.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name GlyphTech-20 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.32it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.36it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.75it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.00it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.08it/s] 41%|████ | 7/17 [00:01<00:01, 6.14it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.24it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.29it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.30it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.30it/s] 71%|███████ | 12/17 [00:02<00:00, 6.25it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.25it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.27it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.29it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.29it/s] 100%|██████████| 17/17 [00:02<00:00, 6.30it/s] 100%|██████████| 17/17 [00:02<00:00, 6.03it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name GlyphTech-20 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.77it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.51it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.47it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.47it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.47it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.37it/s] 41%|████ | 7/17 [00:01<00:01, 6.37it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.38it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.39it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.35it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.35it/s] 71%|███████ | 12/17 [00:01<00:00, 6.31it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.27it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.31it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.34it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.33it/s] 100%|██████████| 17/17 [00:02<00:00, 6.31it/s] 100%|██████████| 17/17 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name GlyphTech-20 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.73it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.58it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.54it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.54it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.49it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.34it/s] 41%|████ | 7/17 [00:01<00:01, 6.23it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.24it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.29it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.34it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.37it/s] 71%|███████ | 12/17 [00:01<00:00, 6.32it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.22it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.18it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.20it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.26it/s] 100%|██████████| 17/17 [00:02<00:00, 6.29it/s] 100%|██████████| 17/17 [00:02<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name GlyphTech-20 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.77it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.58it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.50it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.46it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.45it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.37it/s] 41%|████ | 7/17 [00:01<00:01, 6.40it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.41it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.39it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.39it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.38it/s] 71%|███████ | 12/17 [00:01<00:00, 6.21it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.22it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.26it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.29it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.33it/s] 100%|██████████| 17/17 [00:02<00:00, 6.34it/s] 100%|██████████| 17/17 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.