tungsten-logo
Sign In
Braided Hairstyles with Atomix Anime
atomix-anime:v1.0
evevalentine2017
evevalentine2017
·
Jan 13
374
Input
prompt
Specify things to see in the output
young 1girl with braided hair, dressed in Off-Shoulder Sundress, standing in a rustic farm setting. She has a soft, gentle smile, expressive eyes and sexy cleavage. The background features a charming barn, fields of golden wheat, and a clear blue sky. The composition should be bathed in the warm, golden hour light, with a gentle depth of field and soft bokeh to accentuate the pastoral serenity.Capture the image as if it were taken on an old-school 35mm film for added charm, looking at viewer, <lora:add_detail:0.5>
negative_prompt
Specify things to not see in the output
(more than 2 legs), (more than 2 feet), (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2
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.
1827059876
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
20
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
1
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>
add_detail.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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
NegfeetV2.pt
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/899b82d04e7f484e85ff8ae4401c597f/00000-1827059876.webp
https://files.tungsten.run/uploads/041b827d8d394459918fbaf662d432b6/00001-1827059877.webp
https://files.tungsten.run/uploads/1376a2057f36402eb5518abf7c7d12ce/00002-1827059878.webp
https://files.tungsten.run/uploads/e7593c0c18ee4f578f7ced4fc424f7bb/00003-1827059879.webp
Finished in 42.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: young 1girl with braided hair, dressed in Off-Shoulder Sundress, standing in a rustic farm setting. She has a soft, gentle smile, expressive eyes and sexy cleavage. The background features a charming barn, fields of golden wheat, and a clear blue sky. The composition should be bathed in the warm, golden hour light, with a gentle depth of field and soft bokeh to accentuate the pastoral serenity.Capture the image as if it were taken on an old-school 35mm film for added charm, looking at viewer Full negative prompt: (more than 2 legs), (more than 2 feet), (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.55it/s] 10%|█ | 2/20 [00:01<00:11, 1.52it/s] 15%|█▌ | 3/20 [00:01<00:11, 1.52it/s] 20%|██ | 4/20 [00:02<00:10, 1.52it/s] 25%|██▌ | 5/20 [00:03<00:09, 1.51it/s] 30%|███ | 6/20 [00:03<00:09, 1.52it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.52it/s] 40%|████ | 8/20 [00:05<00:07, 1.51it/s] 45%|████▌ | 9/20 [00:05<00:07, 1.51it/s] 50%|█████ | 10/20 [00:06<00:06, 1.51it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.51it/s] 60%|██████ | 12/20 [00:07<00:05, 1.51it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.51it/s] 70%|███████ | 14/20 [00:09<00:03, 1.51it/s] 75%|███████▌ | 15/20 [00:09<00:03, 1.50it/s] 80%|████████ | 16/20 [00:10<00:02, 1.51it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.51it/s] 90%|█████████ | 18/20 [00:11<00:01, 1.51it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.51it/s] 100%|██████████| 20/20 [00:13<00:00, 1.50it/s] 100%|██████████| 20/20 [00:13<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.46it/s] 20%|██ | 2/10 [00:00<00:01, 4.81it/s] 30%|███ | 3/10 [00:00<00:01, 5.47it/s] 40%|████ | 4/10 [00:00<00:01, 5.86it/s] 50%|█████ | 5/10 [00:00<00:00, 6.08it/s] 60%|██████ | 6/10 [00:01<00:00, 6.14it/s] 70%|███████ | 7/10 [00:01<00:00, 6.20it/s] 80%|████████ | 8/10 [00:01<00:00, 6.24it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.32it/s] 100%|██████████| 10/10 [00:01<00:00, 6.38it/s] 100%|██████████| 10/10 [00:01<00:00, 5.95it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.91it/s] 20%|██ | 2/10 [00:00<00:01, 6.68it/s] 30%|███ | 3/10 [00:00<00:01, 6.64it/s] 40%|████ | 4/10 [00:00<00:00, 6.63it/s] 50%|█████ | 5/10 [00:00<00:00, 6.60it/s] 60%|██████ | 6/10 [00:00<00:00, 6.50it/s] 70%|███████ | 7/10 [00:01<00:00, 6.41it/s] 80%|████████ | 8/10 [00:01<00:00, 6.37it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.38it/s] 100%|██████████| 10/10 [00:01<00:00, 6.44it/s] 100%|██████████| 10/10 [00:01<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.71it/s] 20%|██ | 2/10 [00:00<00:01, 6.62it/s] 30%|███ | 3/10 [00:00<00:01, 6.59it/s] 40%|████ | 4/10 [00:00<00:00, 6.56it/s] 50%|█████ | 5/10 [00:00<00:00, 6.44it/s] 60%|██████ | 6/10 [00:00<00:00, 6.34it/s] 70%|███████ | 7/10 [00:01<00:00, 6.33it/s] 80%|████████ | 8/10 [00:01<00:00, 6.38it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.40it/s] 100%|██████████| 10/10 [00:01<00:00, 5.75it/s] 100%|██████████| 10/10 [00:01<00:00, 6.20it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 4.50it/s] 20%|██ | 2/10 [00:00<00:01, 4.60it/s] 30%|███ | 3/10 [00:00<00:01, 4.42it/s] 40%|████ | 4/10 [00:00<00:01, 4.77it/s] 50%|█████ | 5/10 [00:01<00:00, 5.28it/s] 60%|██████ | 6/10 [00:01<00:00, 5.64it/s] 70%|███████ | 7/10 [00:01<00:00, 5.89it/s] 80%|████████ | 8/10 [00:01<00:00, 6.05it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.11it/s] 100%|██████████| 10/10 [00:01<00:00, 6.17it/s] 100%|██████████| 10/10 [00:01<00:00, 5.58it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.26it/s] 20%|██ | 2/10 [00:00<00:01, 6.41it/s] 30%|███ | 3/10 [00:00<00:01, 6.45it/s] 40%|████ | 4/10 [00:00<00:00, 6.48it/s] 50%|█████ | 5/10 [00:00<00:00, 6.50it/s] 60%|██████ | 6/10 [00:00<00:00, 6.41it/s] 70%|███████ | 7/10 [00:01<00:00, 6.32it/s] 80%|████████ | 8/10 [00:01<00:00, 6.29it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.35it/s] 100%|██████████| 10/10 [00:01<00:00, 6.40it/s] 100%|██████████| 10/10 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.37it/s] 20%|██ | 2/10 [00:00<00:01, 6.49it/s] 30%|███ | 3/10 [00:00<00:01, 6.51it/s] 40%|████ | 4/10 [00:00<00:00, 6.50it/s] 50%|█████ | 5/10 [00:00<00:00, 6.38it/s] 60%|██████ | 6/10 [00:00<00:00, 6.32it/s] 70%|███████ | 7/10 [00:01<00:00, 6.32it/s] 80%|████████ | 8/10 [00:01<00:00, 6.36it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.42it/s] 100%|██████████| 10/10 [00:01<00:00, 6.44it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.90it/s] 20%|██ | 2/10 [00:00<00:01, 6.67it/s] 30%|███ | 3/10 [00:00<00:01, 6.60it/s] 40%|████ | 4/10 [00:00<00:00, 6.48it/s] 50%|█████ | 5/10 [00:00<00:00, 6.50it/s] 60%|██████ | 6/10 [00:00<00:00, 6.39it/s] 70%|███████ | 7/10 [00:01<00:00, 6.29it/s] 80%|████████ | 8/10 [00:01<00:00, 6.29it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.33it/s] 100%|██████████| 10/10 [00:01<00:00, 6.36it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.82it/s] 20%|██ | 2/10 [00:00<00:01, 6.63it/s] 30%|███ | 3/10 [00:00<00:01, 6.59it/s] 40%|████ | 4/10 [00:00<00:00, 6.56it/s] 50%|█████ | 5/10 [00:00<00:00, 6.55it/s] 60%|██████ | 6/10 [00:00<00:00, 6.45it/s] 70%|███████ | 7/10 [00:01<00:00, 6.35it/s] 80%|████████ | 8/10 [00:01<00:00, 6.29it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.34it/s] 100%|██████████| 10/10 [00:01<00:00, 6.39it/s] 100%|██████████| 10/10 [00:01<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.54it/s] 20%|██ | 2/10 [00:00<00:01, 6.52it/s] 30%|███ | 3/10 [00:00<00:01, 6.52it/s] 40%|████ | 4/10 [00:00<00:00, 6.53it/s] 50%|█████ | 5/10 [00:00<00:00, 6.39it/s] 60%|██████ | 6/10 [00:00<00:00, 6.29it/s] 70%|███████ | 7/10 [00:01<00:00, 6.27it/s] 80%|████████ | 8/10 [00:01<00:00, 6.34it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.37it/s] 100%|██████████| 10/10 [00:01<00:00, 6.40it/s] 100%|██████████| 10/10 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.85it/s] 20%|██ | 2/10 [00:00<00:01, 6.63it/s] 30%|███ | 3/10 [00:00<00:01, 6.56it/s] 40%|████ | 4/10 [00:00<00:00, 6.53it/s] 50%|█████ | 5/10 [00:00<00:00, 6.52it/s] 60%|██████ | 6/10 [00:00<00:00, 6.42it/s] 70%|███████ | 7/10 [00:01<00:00, 6.34it/s] 80%|████████ | 8/10 [00:01<00:00, 6.27it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.31it/s] 100%|██████████| 10/10 [00:01<00:00, 6.36it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.76it/s] 20%|██ | 2/10 [00:00<00:01, 6.58it/s] 30%|███ | 3/10 [00:00<00:01, 6.55it/s] 40%|████ | 4/10 [00:00<00:00, 6.52it/s] 50%|█████ | 5/10 [00:00<00:00, 6.52it/s] 60%|██████ | 6/10 [00:00<00:00, 6.36it/s] 70%|███████ | 7/10 [00:01<00:00, 6.27it/s] 80%|████████ | 8/10 [00:01<00:00, 6.25it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.32it/s] 100%|██████████| 10/10 [00:01<00:00, 6.36it/s] 100%|██████████| 10/10 [00:01<00:00, 6.40it/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
young 1girl with braided hair, dressed in Off-Shoulder Sundress, standing in a rustic farm setting. She has a soft, gentle smile, expressive eyes and sexy cleavage. The background features a charming barn, fields of golden wheat, and a clear blue sky. The composition should be bathed in the warm, golden hour light, with a gentle depth of field and soft bokeh to accentuate the pastoral serenity.Capture the image as if it were taken on an old-school 35mm film for added charm, looking at viewer, <lora:add_detail:0.5>
negative_prompt
Specify things to not see in the output
(more than 2 legs), (more than 2 feet), (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2
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.
1827059876
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
20
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
1
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>
add_detail.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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
NegfeetV2.pt
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/899b82d04e7f484e85ff8ae4401c597f/00000-1827059876.webp
https://files.tungsten.run/uploads/041b827d8d394459918fbaf662d432b6/00001-1827059877.webp
https://files.tungsten.run/uploads/1376a2057f36402eb5518abf7c7d12ce/00002-1827059878.webp
https://files.tungsten.run/uploads/e7593c0c18ee4f578f7ced4fc424f7bb/00003-1827059879.webp
Finished in 42.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: young 1girl with braided hair, dressed in Off-Shoulder Sundress, standing in a rustic farm setting. She has a soft, gentle smile, expressive eyes and sexy cleavage. The background features a charming barn, fields of golden wheat, and a clear blue sky. The composition should be bathed in the warm, golden hour light, with a gentle depth of field and soft bokeh to accentuate the pastoral serenity.Capture the image as if it were taken on an old-school 35mm film for added charm, looking at viewer Full negative prompt: (more than 2 legs), (more than 2 feet), (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.55it/s] 10%|█ | 2/20 [00:01<00:11, 1.52it/s] 15%|█▌ | 3/20 [00:01<00:11, 1.52it/s] 20%|██ | 4/20 [00:02<00:10, 1.52it/s] 25%|██▌ | 5/20 [00:03<00:09, 1.51it/s] 30%|███ | 6/20 [00:03<00:09, 1.52it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.52it/s] 40%|████ | 8/20 [00:05<00:07, 1.51it/s] 45%|████▌ | 9/20 [00:05<00:07, 1.51it/s] 50%|█████ | 10/20 [00:06<00:06, 1.51it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.51it/s] 60%|██████ | 12/20 [00:07<00:05, 1.51it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.51it/s] 70%|███████ | 14/20 [00:09<00:03, 1.51it/s] 75%|███████▌ | 15/20 [00:09<00:03, 1.50it/s] 80%|████████ | 16/20 [00:10<00:02, 1.51it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.51it/s] 90%|█████████ | 18/20 [00:11<00:01, 1.51it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.51it/s] 100%|██████████| 20/20 [00:13<00:00, 1.50it/s] 100%|██████████| 20/20 [00:13<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.46it/s] 20%|██ | 2/10 [00:00<00:01, 4.81it/s] 30%|███ | 3/10 [00:00<00:01, 5.47it/s] 40%|████ | 4/10 [00:00<00:01, 5.86it/s] 50%|█████ | 5/10 [00:00<00:00, 6.08it/s] 60%|██████ | 6/10 [00:01<00:00, 6.14it/s] 70%|███████ | 7/10 [00:01<00:00, 6.20it/s] 80%|████████ | 8/10 [00:01<00:00, 6.24it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.32it/s] 100%|██████████| 10/10 [00:01<00:00, 6.38it/s] 100%|██████████| 10/10 [00:01<00:00, 5.95it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.91it/s] 20%|██ | 2/10 [00:00<00:01, 6.68it/s] 30%|███ | 3/10 [00:00<00:01, 6.64it/s] 40%|████ | 4/10 [00:00<00:00, 6.63it/s] 50%|█████ | 5/10 [00:00<00:00, 6.60it/s] 60%|██████ | 6/10 [00:00<00:00, 6.50it/s] 70%|███████ | 7/10 [00:01<00:00, 6.41it/s] 80%|████████ | 8/10 [00:01<00:00, 6.37it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.38it/s] 100%|██████████| 10/10 [00:01<00:00, 6.44it/s] 100%|██████████| 10/10 [00:01<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.71it/s] 20%|██ | 2/10 [00:00<00:01, 6.62it/s] 30%|███ | 3/10 [00:00<00:01, 6.59it/s] 40%|████ | 4/10 [00:00<00:00, 6.56it/s] 50%|█████ | 5/10 [00:00<00:00, 6.44it/s] 60%|██████ | 6/10 [00:00<00:00, 6.34it/s] 70%|███████ | 7/10 [00:01<00:00, 6.33it/s] 80%|████████ | 8/10 [00:01<00:00, 6.38it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.40it/s] 100%|██████████| 10/10 [00:01<00:00, 5.75it/s] 100%|██████████| 10/10 [00:01<00:00, 6.20it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 4.50it/s] 20%|██ | 2/10 [00:00<00:01, 4.60it/s] 30%|███ | 3/10 [00:00<00:01, 4.42it/s] 40%|████ | 4/10 [00:00<00:01, 4.77it/s] 50%|█████ | 5/10 [00:01<00:00, 5.28it/s] 60%|██████ | 6/10 [00:01<00:00, 5.64it/s] 70%|███████ | 7/10 [00:01<00:00, 5.89it/s] 80%|████████ | 8/10 [00:01<00:00, 6.05it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.11it/s] 100%|██████████| 10/10 [00:01<00:00, 6.17it/s] 100%|██████████| 10/10 [00:01<00:00, 5.58it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.26it/s] 20%|██ | 2/10 [00:00<00:01, 6.41it/s] 30%|███ | 3/10 [00:00<00:01, 6.45it/s] 40%|████ | 4/10 [00:00<00:00, 6.48it/s] 50%|█████ | 5/10 [00:00<00:00, 6.50it/s] 60%|██████ | 6/10 [00:00<00:00, 6.41it/s] 70%|███████ | 7/10 [00:01<00:00, 6.32it/s] 80%|████████ | 8/10 [00:01<00:00, 6.29it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.35it/s] 100%|██████████| 10/10 [00:01<00:00, 6.40it/s] 100%|██████████| 10/10 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.37it/s] 20%|██ | 2/10 [00:00<00:01, 6.49it/s] 30%|███ | 3/10 [00:00<00:01, 6.51it/s] 40%|████ | 4/10 [00:00<00:00, 6.50it/s] 50%|█████ | 5/10 [00:00<00:00, 6.38it/s] 60%|██████ | 6/10 [00:00<00:00, 6.32it/s] 70%|███████ | 7/10 [00:01<00:00, 6.32it/s] 80%|████████ | 8/10 [00:01<00:00, 6.36it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.42it/s] 100%|██████████| 10/10 [00:01<00:00, 6.44it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.90it/s] 20%|██ | 2/10 [00:00<00:01, 6.67it/s] 30%|███ | 3/10 [00:00<00:01, 6.60it/s] 40%|████ | 4/10 [00:00<00:00, 6.48it/s] 50%|█████ | 5/10 [00:00<00:00, 6.50it/s] 60%|██████ | 6/10 [00:00<00:00, 6.39it/s] 70%|███████ | 7/10 [00:01<00:00, 6.29it/s] 80%|████████ | 8/10 [00:01<00:00, 6.29it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.33it/s] 100%|██████████| 10/10 [00:01<00:00, 6.36it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.82it/s] 20%|██ | 2/10 [00:00<00:01, 6.63it/s] 30%|███ | 3/10 [00:00<00:01, 6.59it/s] 40%|████ | 4/10 [00:00<00:00, 6.56it/s] 50%|█████ | 5/10 [00:00<00:00, 6.55it/s] 60%|██████ | 6/10 [00:00<00:00, 6.45it/s] 70%|███████ | 7/10 [00:01<00:00, 6.35it/s] 80%|████████ | 8/10 [00:01<00:00, 6.29it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.34it/s] 100%|██████████| 10/10 [00:01<00:00, 6.39it/s] 100%|██████████| 10/10 [00:01<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.54it/s] 20%|██ | 2/10 [00:00<00:01, 6.52it/s] 30%|███ | 3/10 [00:00<00:01, 6.52it/s] 40%|████ | 4/10 [00:00<00:00, 6.53it/s] 50%|█████ | 5/10 [00:00<00:00, 6.39it/s] 60%|██████ | 6/10 [00:00<00:00, 6.29it/s] 70%|███████ | 7/10 [00:01<00:00, 6.27it/s] 80%|████████ | 8/10 [00:01<00:00, 6.34it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.37it/s] 100%|██████████| 10/10 [00:01<00:00, 6.40it/s] 100%|██████████| 10/10 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.85it/s] 20%|██ | 2/10 [00:00<00:01, 6.63it/s] 30%|███ | 3/10 [00:00<00:01, 6.56it/s] 40%|████ | 4/10 [00:00<00:00, 6.53it/s] 50%|█████ | 5/10 [00:00<00:00, 6.52it/s] 60%|██████ | 6/10 [00:00<00:00, 6.42it/s] 70%|███████ | 7/10 [00:01<00:00, 6.34it/s] 80%|████████ | 8/10 [00:01<00:00, 6.27it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.31it/s] 100%|██████████| 10/10 [00:01<00:00, 6.36it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.76it/s] 20%|██ | 2/10 [00:00<00:01, 6.58it/s] 30%|███ | 3/10 [00:00<00:01, 6.55it/s] 40%|████ | 4/10 [00:00<00:00, 6.52it/s] 50%|█████ | 5/10 [00:00<00:00, 6.52it/s] 60%|██████ | 6/10 [00:00<00:00, 6.36it/s] 70%|███████ | 7/10 [00:01<00:00, 6.27it/s] 80%|████████ | 8/10 [00:01<00:00, 6.25it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.32it/s] 100%|██████████| 10/10 [00:01<00:00, 6.36it/s] 100%|██████████| 10/10 [00:01<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.