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Dark Women with BreakDomain
breakdomain:v1.0
evevalentine2017
evevalentine2017
·
Jan 19
3
Input
prompt
Specify things to see in the output
<lora:GothicPunkAI:.55>, GothicPunkAI, 1 woman, sexy attire
negative_prompt
Specify things to not see in the output
((more than 2 arms:2)), ((more than 2 hands:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1398081148
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
32
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
GothicPunkAI.safetensors
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)
verybadimagenegative_v1.3.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/25c22bf493b64bd7aa8aa532063b3bfd/00000-1398081148.webp
https://files.tungsten.run/uploads/67584f8560ce408eb312e130ffc269f5/00001-1398081149.webp
https://files.tungsten.run/uploads/aedca4b49fb84a58a86ca9e052488bda/00002-1398081150.webp
https://files.tungsten.run/uploads/719cdc8c9a92496db8a08c6651cb8742/00003-1398081151.webp
Finished in 57.7 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: <lora:GothicPunkAI:.55>, GothicPunkAI, 1 woman, sexy attire Full negative prompt: ((more than 2 arms:2)), ((more than 2 hands:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:37, 1.22s/it] 6%|▋ | 2/32 [00:01<00:26, 1.13it/s] 9%|▉ | 3/32 [00:02<00:22, 1.29it/s] 12%|█▎ | 4/32 [00:03<00:20, 1.37it/s] 16%|█▌ | 5/32 [00:03<00:18, 1.42it/s] 19%|█▉ | 6/32 [00:04<00:17, 1.46it/s] 22%|██▏ | 7/32 [00:05<00:16, 1.48it/s] 25%|██▌ | 8/32 [00:05<00:16, 1.49it/s] 28%|██▊ | 9/32 [00:06<00:15, 1.50it/s] 31%|███▏ | 10/32 [00:07<00:14, 1.50it/s] 34%|███▍ | 11/32 [00:07<00:13, 1.50it/s] 38%|███▊ | 12/32 [00:08<00:13, 1.50it/s] 41%|████ | 13/32 [00:09<00:12, 1.50it/s] 44%|████▍ | 14/32 [00:09<00:11, 1.50it/s] 47%|████▋ | 15/32 [00:10<00:11, 1.50it/s] 50%|█████ | 16/32 [00:11<00:10, 1.50it/s] 53%|█████▎ | 17/32 [00:11<00:10, 1.50it/s] 56%|█████▋ | 18/32 [00:12<00:09, 1.50it/s] 59%|█████▉ | 19/32 [00:13<00:08, 1.49it/s] 62%|██████▎ | 20/32 [00:13<00:08, 1.49it/s] 66%|██████▌ | 21/32 [00:14<00:07, 1.49it/s] 69%|██████▉ | 22/32 [00:15<00:06, 1.49it/s] 72%|███████▏ | 23/32 [00:15<00:06, 1.49it/s] 75%|███████▌ | 24/32 [00:16<00:05, 1.49it/s] 78%|███████▊ | 25/32 [00:17<00:04, 1.48it/s] 81%|████████▏ | 26/32 [00:17<00:04, 1.48it/s] 84%|████████▍ | 27/32 [00:18<00:03, 1.48it/s] 88%|████████▊ | 28/32 [00:19<00:02, 1.47it/s] 91%|█████████ | 29/32 [00:19<00:02, 1.47it/s] 94%|█████████▍| 30/32 [00:20<00:01, 1.47it/s] 97%|█████████▋| 31/32 [00:21<00:00, 1.47it/s] 100%|██████████| 32/32 [00:21<00:00, 1.47it/s] 100%|██████████| 32/32 [00:21<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:04, 3.43it/s] 13%|█▎ | 2/15 [00:00<00:02, 4.77it/s] 20%|██ | 3/15 [00:00<00:02, 5.45it/s] 27%|██▋ | 4/15 [00:00<00:01, 5.82it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.04it/s] 40%|████ | 6/15 [00:01<00:01, 6.06it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.05it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.14it/s] 60%|██████ | 9/15 [00:01<00:00, 6.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.32it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.39it/s] 80%|████████ | 12/15 [00:02<00:00, 6.34it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.30it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.28it/s] 100%|██████████| 15/15 [00:02<00:00, 6.33it/s] 100%|██████████| 15/15 [00:02<00:00, 6.02it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.90it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.69it/s] 20%|██ | 3/15 [00:00<00:01, 6.58it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.55it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.53it/s] 40%|████ | 6/15 [00:00<00:01, 6.40it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.31it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.29it/s] 60%|██████ | 9/15 [00:01<00:00, 6.34it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.39it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.37it/s] 80%|████████ | 12/15 [00:01<00:00, 6.32it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.27it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.25it/s] 100%|██████████| 15/15 [00:02<00:00, 6.28it/s] 100%|██████████| 15/15 [00:02<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.78it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.58it/s] 20%|██ | 3/15 [00:00<00:01, 6.52it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.50it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.53it/s] 40%|████ | 6/15 [00:00<00:01, 6.39it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.26it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.26it/s] 60%|██████ | 9/15 [00:01<00:00, 6.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.33it/s] 80%|████████ | 12/15 [00:01<00:00, 6.30it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.24it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.21it/s] 100%|██████████| 15/15 [00:02<00:00, 6.23it/s] 100%|██████████| 15/15 [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%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.99it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.73it/s] 20%|██ | 3/15 [00:00<00:01, 6.63it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.58it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.56it/s] 40%|████ | 6/15 [00:00<00:01, 6.41it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.28it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.26it/s] 60%|██████ | 9/15 [00:01<00:00, 6.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.36it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.37it/s] 80%|████████ | 12/15 [00:01<00:00, 6.32it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.25it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.22it/s] 100%|██████████| 15/15 [00:02<00:00, 6.24it/s] 100%|██████████| 15/15 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.85it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.61it/s] 20%|██ | 3/15 [00:00<00:01, 6.51it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.52it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.50it/s] 40%|████ | 6/15 [00:00<00:01, 6.37it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.23it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.21it/s] 60%|██████ | 9/15 [00:01<00:00, 6.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.30it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.36it/s] 80%|████████ | 12/15 [00:01<00:00, 6.31it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.26it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.21it/s] 100%|██████████| 15/15 [00:02<00:00, 6.25it/s] 100%|██████████| 15/15 [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%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.80it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.63it/s] 20%|██ | 3/15 [00:00<00:01, 6.58it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.55it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.54it/s] 40%|████ | 6/15 [00:00<00:01, 6.36it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.23it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.16it/s] 60%|██████ | 9/15 [00:01<00:00, 6.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.30it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.35it/s] 80%|████████ | 12/15 [00:01<00:00, 6.28it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.23it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.19it/s] 100%|██████████| 15/15 [00:02<00:00, 6.25it/s] 100%|██████████| 15/15 [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%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.70it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.57it/s] 20%|██ | 3/15 [00:00<00:01, 6.53it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.52it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.25it/s] 40%|████ | 6/15 [00:00<00:01, 6.15it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.16it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.22it/s] 60%|██████ | 9/15 [00:01<00:00, 6.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.34it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.26it/s] 80%|████████ | 12/15 [00:01<00:00, 6.19it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.18it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.23it/s] 100%|██████████| 15/15 [00:02<00:00, 6.26it/s] 100%|██████████| 15/15 [00:02<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.71it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.55it/s] 20%|██ | 3/15 [00:00<00:01, 6.49it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.44it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.25it/s] 40%|████ | 6/15 [00:00<00:01, 6.16it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.18it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.26it/s] 60%|██████ | 9/15 [00:01<00:00, 6.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.33it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.23it/s] 80%|████████ | 12/15 [00:01<00:00, 6.19it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.17it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.22it/s] 100%|██████████| 15/15 [00:02<00:00, 6.26it/s] 100%|██████████| 15/15 [00:02<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.77it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.53it/s] 20%|██ | 3/15 [00:00<00:01, 6.47it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.44it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.17it/s] 40%|████ | 6/15 [00:00<00:01, 6.12it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.05it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.10it/s] 60%|██████ | 9/15 [00:01<00:00, 6.19it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.17it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.20it/s] 80%|████████ | 12/15 [00:01<00:00, 6.20it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.18it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.18it/s] 100%|██████████| 15/15 [00:02<00:00, 6.24it/s] 100%|██████████| 15/15 [00:02<00:00, 6.23it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.81it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.60it/s] 20%|██ | 3/15 [00:00<00:01, 6.54it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.48it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.48it/s] 40%|████ | 6/15 [00:00<00:01, 6.26it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.16it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.13it/s] 60%|██████ | 9/15 [00:01<00:00, 6.23it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.34it/s] 80%|████████ | 12/15 [00:01<00:00, 6.25it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.16it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.11it/s] 100%|██████████| 15/15 [00:02<00:00, 6.15it/s] 100%|██████████| 15/15 [00:02<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
<lora:GothicPunkAI:.55>, GothicPunkAI, 1 woman, sexy attire
negative_prompt
Specify things to not see in the output
((more than 2 arms:2)), ((more than 2 hands:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1398081148
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
32
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
GothicPunkAI.safetensors
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)
verybadimagenegative_v1.3.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/25c22bf493b64bd7aa8aa532063b3bfd/00000-1398081148.webp
https://files.tungsten.run/uploads/67584f8560ce408eb312e130ffc269f5/00001-1398081149.webp
https://files.tungsten.run/uploads/aedca4b49fb84a58a86ca9e052488bda/00002-1398081150.webp
https://files.tungsten.run/uploads/719cdc8c9a92496db8a08c6651cb8742/00003-1398081151.webp
Finished in 57.7 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: <lora:GothicPunkAI:.55>, GothicPunkAI, 1 woman, sexy attire Full negative prompt: ((more than 2 arms:2)), ((more than 2 hands:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:37, 1.22s/it] 6%|▋ | 2/32 [00:01<00:26, 1.13it/s] 9%|▉ | 3/32 [00:02<00:22, 1.29it/s] 12%|█▎ | 4/32 [00:03<00:20, 1.37it/s] 16%|█▌ | 5/32 [00:03<00:18, 1.42it/s] 19%|█▉ | 6/32 [00:04<00:17, 1.46it/s] 22%|██▏ | 7/32 [00:05<00:16, 1.48it/s] 25%|██▌ | 8/32 [00:05<00:16, 1.49it/s] 28%|██▊ | 9/32 [00:06<00:15, 1.50it/s] 31%|███▏ | 10/32 [00:07<00:14, 1.50it/s] 34%|███▍ | 11/32 [00:07<00:13, 1.50it/s] 38%|███▊ | 12/32 [00:08<00:13, 1.50it/s] 41%|████ | 13/32 [00:09<00:12, 1.50it/s] 44%|████▍ | 14/32 [00:09<00:11, 1.50it/s] 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Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.85it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.61it/s] 20%|██ | 3/15 [00:00<00:01, 6.51it/s] 27%|██▋ | 4/15 [00:00<00:01, 6.52it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.50it/s] 40%|████ | 6/15 [00:00<00:01, 6.37it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.23it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.21it/s] 60%|██████ | 9/15 [00:01<00:00, 6.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.30it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.36it/s] 80%|████████ | 12/15 [00:01<00:00, 6.31it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.26it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.21it/s] 100%|██████████| 15/15 [00:02<00:00, 6.25it/s] 100%|██████████| 15/15 [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%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 6.80it/s] 13%|█▎ | 2/15 [00:00<00:01, 6.63it/s] 20%|██ | 3/15 [00:00<00:01, 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Finished.