Version: v4.0
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.
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Output
https://files.tungsten.run/uploads/f994c5662ca54b16bb59f2e5f321c336/00000-943442389.webp
https://files.tungsten.run/uploads/3d6a2bcc660f4afb8481586d66ed9211/00001-943442390.webp
https://files.tungsten.run/uploads/037e81dd58864e1da1122d8906deec6d/00002-943442391.webp
https://files.tungsten.run/uploads/a06f182030c3483990a766e176acb8c5/00003-943442392.webp
This example was created by evevalentine2017
Finished in 48.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (((gold, silver, glimmer)), elven), standing,limited palette, contrast, phenomenal aesthetic, best quality, sumptuous artwork, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:more_details:0.7> Full negative prompt: EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)), 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:41, 1.21s/it] 6%|▌ | 2/35 [00:01<00:28, 1.15it/s] 9%|▊ | 3/35 [00:02<00:24, 1.32it/s] 11%|█▏ | 4/35 [00:03<00:22, 1.40it/s] 14%|█▍ | 5/35 [00:03<00:20, 1.46it/s] 17%|█▋ | 6/35 [00:04<00:19, 1.50it/s] 20%|██ | 7/35 [00:05<00:18, 1.52it/s] 23%|██▎ | 8/35 [00:05<00:17, 1.54it/s] 26%|██▌ | 9/35 [00:06<00:16, 1.55it/s] 29%|██▊ | 10/35 [00:06<00:16, 1.56it/s] 31%|███▏ | 11/35 [00:07<00:15, 1.57it/s] 34%|███▍ | 12/35 [00:08<00:14, 1.57it/s] 37%|███▋ | 13/35 [00:08<00:14, 1.57it/s] 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[00:22<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 30.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:05, 3.42it/s] 10%|█ | 2/20 [00:00<00:03, 4.88it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.59it/s] 20%|██ | 4/20 [00:00<00:02, 5.97it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.24it/s] 30%|███ | 6/20 [00:01<00:02, 6.39it/s] 35%|███▌ | 7/20 [00:01<00:02, 6.44it/s] 40%|████ | 8/20 [00:01<00:01, 6.45it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.52it/s] 50%|█████ | 10/20 [00:01<00:01, 6.59it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.64it/s] 60%|██████ | 12/20 [00:01<00:01, 6.67it/s] 65%|██████▌ | 13/20 [00:02<00:01, 6.66it/s] 70%|███████ | 14/20 [00:02<00:00, 6.60it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.60it/s] 80%|████████ | 16/20 [00:02<00:00, 6.62it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.67it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.70it/s] 95%|█████████▌| 19/20 [00:02<00:00, 6.67it/s] 100%|██████████| 20/20 [00:03<00:00, 6.64it/s] 100%|██████████| 20/20 [00:03<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 7.21it/s] 10%|█ | 2/20 [00:00<00:02, 6.96it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.89it/s] 20%|██ | 4/20 [00:00<00:02, 6.85it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.83it/s] 30%|███ | 6/20 [00:00<00:02, 6.77it/s] 35%|███▌ | 7/20 [00:01<00:01, 6.68it/s] 40%|████ | 8/20 [00:01<00:01, 6.60it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.63it/s] 50%|█████ | 10/20 [00:01<00:01, 6.66it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.69it/s] 60%|██████ | 12/20 [00:01<00:01, 6.67it/s] 65%|██████▌ | 13/20 [00:01<00:01, 6.66it/s] 70%|███████ | 14/20 [00:02<00:00, 6.63it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.62it/s] 80%|████████ | 16/20 [00:02<00:00, 6.65it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.69it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.70it/s] 95%|█████████▌| 19/20 [00:02<00:00, 6.68it/s] 100%|██████████| 20/20 [00:02<00:00, 6.65it/s] 100%|██████████| 20/20 [00:02<00:00, 6.70it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 7.12it/s] 10%|█ | 2/20 [00:00<00:02, 6.91it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.85it/s] 20%|██ | 4/20 [00:00<00:02, 6.79it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.74it/s] 30%|███ | 6/20 [00:00<00:02, 6.67it/s] 35%|███▌ | 7/20 [00:01<00:01, 6.61it/s] 40%|████ | 8/20 [00:01<00:01, 6.57it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.59it/s] 50%|█████ | 10/20 [00:01<00:01, 6.64it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.66it/s] 60%|██████ | 12/20 [00:01<00:01, 6.65it/s] 65%|██████▌ | 13/20 [00:01<00:01, 6.62it/s] 70%|███████ | 14/20 [00:02<00:00, 6.60it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.61it/s] 80%|████████ | 16/20 [00:02<00:00, 6.63it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.64it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.65it/s] 95%|█████████▌| 19/20 [00:02<00:00, 6.63it/s] 100%|██████████| 20/20 [00:03<00:00, 6.60it/s] 100%|██████████| 20/20 [00:03<00:00, 6.65it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 7.12it/s] 10%|█ | 2/20 [00:00<00:02, 6.91it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.82it/s] 20%|██ | 4/20 [00:00<00:02, 6.80it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.78it/s] 30%|███ | 6/20 [00:00<00:02, 6.72it/s] 35%|███▌ | 7/20 [00:01<00:01, 6.65it/s] 40%|████ | 8/20 [00:01<00:01, 6.60it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.62it/s] 50%|█████ | 10/20 [00:01<00:01, 6.65it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.68it/s] 60%|██████ | 12/20 [00:01<00:01, 6.68it/s] 65%|██████▌ | 13/20 [00:01<00:01, 6.64it/s] 70%|███████ | 14/20 [00:02<00:00, 6.60it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.59it/s] 80%|████████ | 16/20 [00:02<00:00, 6.60it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.61it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.65it/s] 95%|█████████▌| 19/20 [00:02<00:00, 6.63it/s] 100%|██████████| 20/20 [00:03<00:00, 6.62it/s] 100%|██████████| 20/20 [00:03<00:00, 6.66it/s] Decoding latents in cuda:0... done in 0.23s 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/f994c5662ca54b16bb59f2e5f321c336/00000-943442389.webp
https://files.tungsten.run/uploads/3d6a2bcc660f4afb8481586d66ed9211/00001-943442390.webp
https://files.tungsten.run/uploads/037e81dd58864e1da1122d8906deec6d/00002-943442391.webp
https://files.tungsten.run/uploads/a06f182030c3483990a766e176acb8c5/00003-943442392.webp
This example was created by evevalentine2017
Finished in 48.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (((gold, silver, glimmer)), elven), standing,limited palette, contrast, phenomenal aesthetic, best quality, sumptuous artwork, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:more_details:0.7> Full negative prompt: EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)), 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:41, 1.21s/it] 6%|▌ | 2/35 [00:01<00:28, 1.15it/s] 9%|▊ | 3/35 [00:02<00:24, 1.32it/s] 11%|█▏ | 4/35 [00:03<00:22, 1.40it/s] 14%|█▍ | 5/35 [00:03<00:20, 1.46it/s] 17%|█▋ | 6/35 [00:04<00:19, 1.50it/s] 20%|██ | 7/35 [00:05<00:18, 1.52it/s] 23%|██▎ | 8/35 [00:05<00:17, 1.54it/s] 26%|██▌ | 9/35 [00:06<00:16, 1.55it/s] 29%|██▊ | 10/35 [00:06<00:16, 1.56it/s] 31%|███▏ | 11/35 [00:07<00:15, 1.57it/s] 34%|███▍ | 12/35 [00:08<00:14, 1.57it/s] 37%|███▋ | 13/35 [00:08<00:14, 1.57it/s] 40%|████ | 14/35 [00:09<00:13, 1.57it/s] 43%|████▎ | 15/35 [00:10<00:12, 1.57it/s] 46%|████▌ | 16/35 [00:10<00:12, 1.57it/s] 49%|████▊ | 17/35 [00:11<00:11, 1.57it/s] 51%|█████▏ | 18/35 [00:12<00:10, 1.57it/s] 54%|█████▍ | 19/35 [00:12<00:10, 1.57it/s] 57%|█████▋ | 20/35 [00:13<00:09, 1.57it/s] 60%|██████ | 21/35 [00:13<00:08, 1.57it/s] 63%|██████▎ | 22/35 [00:14<00:08, 1.57it/s] 66%|██████▌ | 23/35 [00:15<00:07, 1.57it/s] 69%|██████▊ | 24/35 [00:15<00:07, 1.57it/s] 71%|███████▏ | 25/35 [00:16<00:06, 1.57it/s] 74%|███████▍ | 26/35 [00:17<00:05, 1.57it/s] 77%|███████▋ | 27/35 [00:17<00:05, 1.57it/s] 80%|████████ | 28/35 [00:18<00:04, 1.57it/s] 83%|████████▎ | 29/35 [00:19<00:03, 1.56it/s] 86%|████████▌ | 30/35 [00:19<00:03, 1.57it/s] 89%|████████▊ | 31/35 [00:20<00:02, 1.57it/s] 91%|█████████▏| 32/35 [00:20<00:01, 1.56it/s] 94%|█████████▍| 33/35 [00:21<00:01, 1.56it/s] 97%|█████████▋| 34/35 [00:22<00:00, 1.56it/s] 100%|██████████| 35/35 [00:22<00:00, 1.56it/s] 100%|██████████| 35/35 [00:22<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 30.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:05, 3.42it/s] 10%|█ | 2/20 [00:00<00:03, 4.88it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.59it/s] 20%|██ | 4/20 [00:00<00:02, 5.97it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.24it/s] 30%|███ | 6/20 [00:01<00:02, 6.39it/s] 35%|███▌ | 7/20 [00:01<00:02, 6.44it/s] 40%|████ | 8/20 [00:01<00:01, 6.45it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.52it/s] 50%|█████ | 10/20 [00:01<00:01, 6.59it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.64it/s] 60%|██████ | 12/20 [00:01<00:01, 6.67it/s] 65%|██████▌ | 13/20 [00:02<00:01, 6.66it/s] 70%|███████ | 14/20 [00:02<00:00, 6.60it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.60it/s] 80%|████████ | 16/20 [00:02<00:00, 6.62it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.67it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.70it/s] 95%|█████████▌| 19/20 [00:02<00:00, 6.67it/s] 100%|██████████| 20/20 [00:03<00:00, 6.64it/s] 100%|██████████| 20/20 [00:03<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 7.21it/s] 10%|█ | 2/20 [00:00<00:02, 6.96it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.89it/s] 20%|██ | 4/20 [00:00<00:02, 6.85it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.83it/s] 30%|███ | 6/20 [00:00<00:02, 6.77it/s] 35%|███▌ | 7/20 [00:01<00:01, 6.68it/s] 40%|████ | 8/20 [00:01<00:01, 6.60it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.63it/s] 50%|█████ | 10/20 [00:01<00:01, 6.66it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.69it/s] 60%|██████ | 12/20 [00:01<00:01, 6.67it/s] 65%|██████▌ | 13/20 [00:01<00:01, 6.66it/s] 70%|███████ | 14/20 [00:02<00:00, 6.63it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.62it/s] 80%|████████ | 16/20 [00:02<00:00, 6.65it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.69it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.70it/s] 95%|█████████▌| 19/20 [00:02<00:00, 6.68it/s] 100%|██████████| 20/20 [00:02<00:00, 6.65it/s] 100%|██████████| 20/20 [00:02<00:00, 6.70it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 7.12it/s] 10%|█ | 2/20 [00:00<00:02, 6.91it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.85it/s] 20%|██ | 4/20 [00:00<00:02, 6.79it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.74it/s] 30%|███ | 6/20 [00:00<00:02, 6.67it/s] 35%|███▌ | 7/20 [00:01<00:01, 6.61it/s] 40%|████ | 8/20 [00:01<00:01, 6.57it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.59it/s] 50%|█████ | 10/20 [00:01<00:01, 6.64it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.66it/s] 60%|██████ | 12/20 [00:01<00:01, 6.65it/s] 65%|██████▌ | 13/20 [00:01<00:01, 6.62it/s] 70%|███████ | 14/20 [00:02<00:00, 6.60it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.61it/s] 80%|████████ | 16/20 [00:02<00:00, 6.63it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.64it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.65it/s] 95%|█████████▌| 19/20 [00:02<00:00, 6.63it/s] 100%|██████████| 20/20 [00:03<00:00, 6.60it/s] 100%|██████████| 20/20 [00:03<00:00, 6.65it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 7.12it/s] 10%|█ | 2/20 [00:00<00:02, 6.91it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.82it/s] 20%|██ | 4/20 [00:00<00:02, 6.80it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.78it/s] 30%|███ | 6/20 [00:00<00:02, 6.72it/s] 35%|███▌ | 7/20 [00:01<00:01, 6.65it/s] 40%|████ | 8/20 [00:01<00:01, 6.60it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.62it/s] 50%|█████ | 10/20 [00:01<00:01, 6.65it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.68it/s] 60%|██████ | 12/20 [00:01<00:01, 6.68it/s] 65%|██████▌ | 13/20 [00:01<00:01, 6.64it/s] 70%|███████ | 14/20 [00:02<00:00, 6.60it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.59it/s] 80%|████████ | 16/20 [00:02<00:00, 6.60it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.61it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.65it/s] 95%|█████████▌| 19/20 [00:02<00:00, 6.63it/s] 100%|██████████| 20/20 [00:03<00:00, 6.62it/s] 100%|██████████| 20/20 [00:03<00:00, 6.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.