astranime
astranime
21 stars
Version: v5.0
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/5d9cb2ca598b4402a96a38b91fafa89e/00000-1252210640.webp
https://files.tungsten.run/uploads/2cc5a76f0fde418290cebede8626babe/00001-1252210641.webp
https://files.tungsten.run/uploads/355074288c85446ca1759d5e4e123625/00002-1252210642.webp
https://files.tungsten.run/uploads/8214507f349d487e970edfd3cb5bdf85/00003-1252210643.webp
This example was created by evevalentine2017
Finished in 67.0 seconds
Preparing inputs... Processing... Full prompt: 1girl, solo, blonde hair, blush, freckles, long hair, (full body:1.3), (masterpiece, best quality, hires, high resolution:1.2), (extremely detailed, realistic, intricate details, highres), 3d, cg, denim jacket, denim jeans, sitting on a park, bbw, shiny skin, (laughing:1.4), blush, eyeliner, eyeshadow, eyelashes, (cinematic lighting, sunlight, volumetric), looking at viewer, vintage fantasy, film grain, 2 hands, 2 feet, 2 legs, 2 arms, <lora:add_detail:0.2>, <lora:add_saturation:-0.3> Full negative prompt: easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, badhandv4, ((extra limbs)), ((extra legs)), ((fused legs)), ((extra arms)), ((fused arms)), normal quality, ((monochrome)), ((grayscale)), ((watermark)), uneven eyes, lazy eye, bad-hands-5, (((mutated hand))), multiple navel, negative_hand-neg 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:43, 1.28s/it] 6%|▌ | 2/35 [00:01<00:30, 1.09it/s] 9%|▊ | 3/35 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100%|██████████| 16/16 [00:02<00:00, 6.40it/s] 100%|██████████| 16/16 [00:02<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.74it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.63it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.58it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.57it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.20it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.28it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.29it/s] 50%|█████ | 8/16 [00:01<00:01, 6.36it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.40it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.44it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.28it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.31it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.33it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.38it/s] 100%|██████████| 16/16 [00:02<00:00, 6.42it/s] 100%|██████████| 16/16 [00:02<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 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[00:00<00:01, 6.36it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.46it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.40it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.34it/s] 50%|█████ | 8/16 [00:01<00:01, 6.36it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.40it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.43it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.46it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.45it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.40it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.36it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.40it/s] 100%|██████████| 16/16 [00:02<00:00, 6.42it/s] 100%|██████████| 16/16 [00:02<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.79it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.66it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.63it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.61it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.52it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.45it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.41it/s] 50%|█████ | 8/16 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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/5d9cb2ca598b4402a96a38b91fafa89e/00000-1252210640.webp
https://files.tungsten.run/uploads/2cc5a76f0fde418290cebede8626babe/00001-1252210641.webp
https://files.tungsten.run/uploads/355074288c85446ca1759d5e4e123625/00002-1252210642.webp
https://files.tungsten.run/uploads/8214507f349d487e970edfd3cb5bdf85/00003-1252210643.webp
This example was created by evevalentine2017
Finished in 67.0 seconds
Preparing inputs... Processing... Full prompt: 1girl, solo, blonde hair, blush, freckles, long hair, (full body:1.3), (masterpiece, best quality, hires, high resolution:1.2), (extremely detailed, realistic, intricate details, highres), 3d, cg, denim jacket, denim jeans, sitting on a park, bbw, shiny skin, (laughing:1.4), blush, eyeliner, eyeshadow, eyelashes, (cinematic lighting, sunlight, volumetric), looking at viewer, vintage fantasy, film grain, 2 hands, 2 feet, 2 legs, 2 arms, <lora:add_detail:0.2>, <lora:add_saturation:-0.3> Full negative prompt: easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, badhandv4, ((extra limbs)), ((extra legs)), ((fused legs)), ((extra arms)), ((fused arms)), normal quality, ((monochrome)), ((grayscale)), ((watermark)), uneven eyes, lazy eye, bad-hands-5, (((mutated hand))), multiple navel, negative_hand-neg 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:43, 1.28s/it] 6%|▌ | 2/35 [00:01<00:30, 1.09it/s] 9%|▊ | 3/35 [00:02<00:25, 1.26it/s] 11%|█▏ | 4/35 [00:03<00:23, 1.34it/s] 14%|█▍ | 5/35 [00:03<00:21, 1.40it/s] 17%|█▋ | 6/35 [00:04<00:20, 1.44it/s] 20%|██ | 7/35 [00:05<00:19, 1.46it/s] 23%|██▎ | 8/35 [00:05<00:18, 1.48it/s] 26%|██▌ | 9/35 [00:06<00:17, 1.49it/s] 29%|██▊ | 10/35 [00:07<00:16, 1.49it/s] 31%|███▏ | 11/35 [00:07<00:15, 1.50it/s] 34%|███▍ | 12/35 [00:08<00:15, 1.50it/s] 37%|███▋ | 13/35 [00:09<00:14, 1.51it/s] 40%|████ | 14/35 [00:09<00:13, 1.51it/s] 43%|████▎ | 15/35 [00:10<00:13, 1.51it/s] 46%|████▌ | 16/35 [00:11<00:12, 1.50it/s] 49%|████▊ | 17/35 [00:11<00:11, 1.50it/s] 51%|█████▏ | 18/35 [00:12<00:11, 1.50it/s] 54%|█████▍ | 19/35 [00:13<00:10, 1.50it/s] 57%|█████▋ | 20/35 [00:13<00:09, 1.50it/s] 60%|██████ | 21/35 [00:14<00:09, 1.50it/s] 63%|██████▎ | 22/35 [00:15<00:08, 1.50it/s] 66%|██████▌ | 23/35 [00:15<00:08, 1.50it/s] 69%|██████▊ | 24/35 [00:16<00:07, 1.50it/s] 71%|███████▏ | 25/35 [00:17<00:06, 1.50it/s] 74%|███████▍ | 26/35 [00:17<00:06, 1.50it/s] 77%|███████▋ | 27/35 [00:18<00:05, 1.50it/s] 80%|████████ | 28/35 [00:19<00:04, 1.50it/s] 83%|████████▎ | 29/35 [00:19<00:04, 1.50it/s] 86%|████████▌ | 30/35 [00:20<00:03, 1.49it/s] 89%|████████▊ | 31/35 [00:21<00:02, 1.49it/s] 91%|█████████▏| 32/35 [00:21<00:02, 1.49it/s] 94%|█████████▍| 33/35 [00:22<00:01, 1.49it/s] 97%|█████████▋| 34/35 [00:23<00:00, 1.49it/s] 100%|██████████| 35/35 [00:23<00:00, 1.49it/s] 100%|██████████| 35/35 [00:23<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.01s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.42it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.77it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.42it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.81it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.04it/s] 38%|███▊ | 6/16 [00:01<00:01, 6.09it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.15it/s] 50%|█████ | 8/16 [00:01<00:01, 6.17it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.25it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.31it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.35it/s] 75%|███████▌ | 12/16 [00:02<00:00, 6.34it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.33it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.30it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.34it/s] 100%|██████████| 16/16 [00:02<00:00, 6.37it/s] 100%|██████████| 16/16 [00:02<00:00, 6.06it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.86it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.68it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.61it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.57it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.55it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.45it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.36it/s] 50%|█████ | 8/16 [00:01<00:01, 6.33it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.36it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.40it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.43it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.39it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.34it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.32it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.32it/s] 100%|██████████| 16/16 [00:02<00:00, 6.36it/s] 100%|██████████| 16/16 [00:02<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.88it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.69it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.60it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.59it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.56it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.46it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.35it/s] 50%|█████ | 8/16 [00:01<00:01, 6.31it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.34it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.36it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.41it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.38it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.35it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.35it/s] 100%|██████████| 16/16 [00:02<00:00, 6.37it/s] 100%|██████████| 16/16 [00:02<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.85it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.67it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.60it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.55it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.54it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.46it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.37it/s] 50%|█████ | 8/16 [00:01<00:01, 6.32it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.35it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.40it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.44it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.42it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.39it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.37it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.36it/s] 100%|██████████| 16/16 [00:02<00:00, 6.39it/s] 100%|██████████| 16/16 [00:02<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.80it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.64it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.58it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.54it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.46it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.40it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.36it/s] 50%|█████ | 8/16 [00:01<00:01, 6.40it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.44it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.45it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.42it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.33it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.33it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.35it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.39it/s] 100%|██████████| 16/16 [00:02<00:00, 6.42it/s] 100%|██████████| 16/16 [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%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.81it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.63it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.58it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.54it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.54it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.47it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.41it/s] 50%|█████ | 8/16 [00:01<00:01, 6.36it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.39it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.42it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.46it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.43it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.39it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.35it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.14it/s] 100%|██████████| 16/16 [00:02<00:00, 6.27it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.82it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.61it/s] 19%|█▉ | 3/16 [00:00<00:02, 6.46it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.50it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.41it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.38it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.35it/s] 50%|█████ | 8/16 [00:01<00:01, 6.34it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.37it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.42it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.19it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.33it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.35it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.33it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.35it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] 100%|██████████| 16/16 [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%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.72it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.63it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.60it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.57it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.46it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.39it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.35it/s] 50%|█████ | 8/16 [00:01<00:01, 6.37it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.41it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.45it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.44it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.29it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.27it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.29it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.35it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] 100%|██████████| 16/16 [00:02<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.74it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.63it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.58it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.57it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.20it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.28it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.29it/s] 50%|█████ | 8/16 [00:01<00:01, 6.36it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.40it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.44it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.28it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.31it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.33it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.38it/s] 100%|██████████| 16/16 [00:02<00:00, 6.42it/s] 100%|██████████| 16/16 [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%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.93it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.27it/s] 19%|█▉ | 3/16 [00:00<00:02, 6.41it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.46it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.50it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.45it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.39it/s] 50%|█████ | 8/16 [00:01<00:01, 6.34it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.37it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.41it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.44it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.45it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.41it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.38it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.31it/s] 100%|██████████| 16/16 [00:02<00:00, 6.35it/s] 100%|██████████| 16/16 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.91it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.71it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.67it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.36it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.46it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.40it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.34it/s] 50%|█████ | 8/16 [00:01<00:01, 6.36it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.40it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.43it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.46it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.45it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.40it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.36it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.40it/s] 100%|██████████| 16/16 [00:02<00:00, 6.42it/s] 100%|██████████| 16/16 [00:02<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.79it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.66it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.63it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.61it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.52it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.45it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.41it/s] 50%|█████ | 8/16 [00:01<00:01, 6.44it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.48it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.50it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.39it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.37it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.35it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.37it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.42it/s] 100%|██████████| 16/16 [00:02<00:00, 6.45it/s] 100%|██████████| 16/16 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.