Watchmakers with Re:Volution
Input
prompt
Specify things to see in the output
((best quality, masterpiece, absurbres, super-resolution)) (Second hand antique store:1.3), Hidden treasure, Treasure hunt, Cluttered, Messy, realistic hands, <lora:Real_Hands:0.5>, <lora:add_detail:0.5>
negative_prompt
Specify things to not see in the output
((easynegative, ng_deepnegative_v1_75t, verybadimagenegative_v1.3)), (worst quality, low quality:1.4), (superman logo:1.5), watermarks, signature, more than 2 arms,
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.
2855696520
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
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.
false
Output
https://files.tungsten.run/uploads/da3ed58d4e004b9a82d8fb45ecb8c6e2/00000-2855696520.webp
https://files.tungsten.run/uploads/08f51673020944ad8a3ac03b8bf1436f/00001-2855696521.webp
https://files.tungsten.run/uploads/06a0a1fef556412eb5eae726b2438c38/00002-2855696522.webp
https://files.tungsten.run/uploads/e54b2ac2ca6c4dc280d0de55d060f66d/00003-2855696523.webp
Finished in 57.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: ((best quality, masterpiece, absurbres, super-resolution)) (Second hand antique store:1.3), Hidden treasure, Treasure hunt, Cluttered, Messy, realistic hands, <lora:Real_Hands:0.5> Full negative prompt: ((easynegative, ng_deepnegative_v1_75t, verybadimagenegative_v1.3)), (worst quality, low quality:1.4), (superman logo:1.5), watermarks, signature, more than 2 arms, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.56it/s] 7%|▋ | 2/30 [00:01<00:18, 1.51it/s] 10%|█ | 3/30 [00:01<00:17, 1.51it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.51it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.50it/s] 20%|██ | 6/30 [00:03<00:15, 1.50it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.50it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:05<00:14, 1.50it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.49it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.49it/s] 40%|████ | 12/30 [00:08<00:12, 1.49it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.49it/s] 47%|████▋ | 14/30 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6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.55it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.53it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.36it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.32it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.33it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.37it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.41it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.37it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.31it/s] 100%|██████████| 14/14 [00:02<00:00, 6.28it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.88it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.65it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.57it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.53it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.51it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.43it/s] 50%|█████ | 7/14 [00:01<00:01, 6.33it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.30it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.35it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.39it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.42it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.38it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.34it/s] 100%|██████████| 14/14 [00:02<00:00, 6.29it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.64it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.54it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.54it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.50it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.38it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.32it/s] 50%|█████ | 7/14 [00:01<00:01, 6.30it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.32it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.37it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.40it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.40it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.35it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.30it/s] 100%|██████████| 14/14 [00:02<00:00, 6.30it/s] 100%|██████████| 14/14 [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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.84it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.63it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.53it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.53it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.41it/s] 50%|█████ | 7/14 [00:01<00:01, 6.33it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.30it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.34it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.39it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.39it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 6.31it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.85it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.64it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.58it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.56it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.54it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.44it/s] 50%|█████ | 7/14 [00:01<00:01, 6.35it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.30it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.34it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.39it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.39it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 6.32it/s] 100%|██████████| 14/14 [00:02<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.72it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.63it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.58it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.56it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.44it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.36it/s] 50%|█████ | 7/14 [00:01<00:01, 6.33it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.36it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.40it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.44it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.40it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.35it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.32it/s] 100%|██████████| 14/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.91it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.65it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.52it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.51it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.45it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.46it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.47it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.84it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.62it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.52it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.53it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.45it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.42it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.42it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.36it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.34it/s] 100%|██████████| 14/14 [00:02<00:00, 6.36it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.57it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.56it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.52it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.51it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.39it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.34it/s] 50%|█████ | 7/14 [00:01<00:01, 6.29it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.33it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.39it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.41it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.39it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.37it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.34it/s] 100%|██████████| 14/14 [00:02<00:00, 6.34it/s] 100%|██████████| 14/14 [00:02<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.78it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.62it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.51it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.51it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.46it/s] 50%|█████ | 7/14 [00:01<00:01, 6.46it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.45it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.48it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.48it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.43it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.93it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.67it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.59it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.57it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.54it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.46it/s] 50%|█████ | 7/14 [00:01<00:01, 6.37it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.38it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.40it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.43it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.46it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.70it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.56it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.55it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.54it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.44it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.38it/s] 50%|█████ | 7/14 [00:01<00:01, 6.41it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.45it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.39it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/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
((best quality, masterpiece, absurbres, super-resolution)) (Second hand antique store:1.3), Hidden treasure, Treasure hunt, Cluttered, Messy, realistic hands, <lora:Real_Hands:0.5>, <lora:add_detail:0.5>
negative_prompt
Specify things to not see in the output
((easynegative, ng_deepnegative_v1_75t, verybadimagenegative_v1.3)), (worst quality, low quality:1.4), (superman logo:1.5), watermarks, signature, more than 2 arms,
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.
2855696520
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
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.
false
https://files.tungsten.run/uploads/da3ed58d4e004b9a82d8fb45ecb8c6e2/00000-2855696520.webp
https://files.tungsten.run/uploads/08f51673020944ad8a3ac03b8bf1436f/00001-2855696521.webp
https://files.tungsten.run/uploads/06a0a1fef556412eb5eae726b2438c38/00002-2855696522.webp
https://files.tungsten.run/uploads/e54b2ac2ca6c4dc280d0de55d060f66d/00003-2855696523.webp
Finished in 57.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: ((best quality, masterpiece, absurbres, super-resolution)) (Second hand antique store:1.3), Hidden treasure, Treasure hunt, Cluttered, Messy, realistic hands, <lora:Real_Hands:0.5> Full negative prompt: ((easynegative, ng_deepnegative_v1_75t, verybadimagenegative_v1.3)), (worst quality, low quality:1.4), (superman logo:1.5), watermarks, signature, more than 2 arms, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.56it/s] 7%|▋ | 2/30 [00:01<00:18, 1.51it/s] 10%|█ | 3/30 [00:01<00:17, 1.51it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.51it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.50it/s] 20%|██ | 6/30 [00:03<00:15, 1.50it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.50it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:05<00:14, 1.50it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.49it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.49it/s] 40%|████ | 12/30 [00:08<00:12, 1.49it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.49it/s] 47%|████▋ | 14/30 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[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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.84it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.63it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.53it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.53it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.41it/s] 50%|█████ | 7/14 [00:01<00:01, 6.33it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.30it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.34it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.39it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.39it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 6.31it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.85it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.64it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.58it/s] 29%|██▊ | 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[00:01<00:00, 6.44it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.40it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.35it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.32it/s] 100%|██████████| 14/14 [00:02<00:00, 6.35it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.91it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.65it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.52it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.51it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.45it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.46it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.47it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.84it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.62it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.52it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.53it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.45it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.42it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.42it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.36it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.34it/s] 100%|██████████| 14/14 [00:02<00:00, 6.36it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.57it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.56it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.52it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.51it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.39it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.34it/s] 50%|█████ | 7/14 [00:01<00:01, 6.29it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.33it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.39it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.41it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.39it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.37it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.34it/s] 100%|██████████| 14/14 [00:02<00:00, 6.34it/s] 100%|██████████| 14/14 [00:02<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.78it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.62it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.51it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.51it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.46it/s] 50%|█████ | 7/14 [00:01<00:01, 6.46it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.45it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.48it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.48it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.43it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.93it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.67it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.59it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.57it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.54it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.46it/s] 50%|█████ | 7/14 [00:01<00:01, 6.37it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.38it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.40it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.43it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.46it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.70it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.56it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.55it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.54it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.44it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.38it/s] 50%|█████ | 7/14 [00:01<00:01, 6.41it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.45it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.39it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.