aganime
aganime
6 stars
Version: v1.0
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/42077e805b6148ddbf30fa604f8116c3/00000-4017901778.webp
https://files.tungsten.run/uploads/dfa2b7e5b3df4a739d7d1dc2a6f6e86a/00001-4017901779.webp
https://files.tungsten.run/uploads/970a8b4ce4d24008ba390b75190a1954/00002-4017901780.webp
https://files.tungsten.run/uploads/082f886f28cb4ef59898bddfdf867229/00003-4017901781.webp
This example was created by evevalentine2017
Finished in 185.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, best quality), female teenager, plump, berber, violet eyes, elongated ears, unusual nose, curved forehead, square face shape with round forehead, cheekbones, blonde braided haircut hair, sarcasm wearing high-low hem dress, g-string, bucket hat,, walking away pose, walking away with a confident and alluring stride, creating a captivating and mysterious pose, firelight, the flickering glow of a fireplace, bringing intimacy and warmth to the setting, a sunlit park, filled with children playing and families having picnics, Volumetric Lighting, Volumetric Light, Volumetric, <lora:more_details:0.4>, <lora:add_saturation:-0.4> Full negative prompt: missing wings, missing horns, Nsfw:1.7, topless, nude, ((more than 2 feet)), ((more than 2 legs)), (worst quality, low quality, large head, extra digits:1.4), EasyNegativeV2, bad_prompt_version2-neg, ng_deepnegative_v1_75t, blurry, monochrome, grayscale, 0%| | 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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
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/42077e805b6148ddbf30fa604f8116c3/00000-4017901778.webp
https://files.tungsten.run/uploads/dfa2b7e5b3df4a739d7d1dc2a6f6e86a/00001-4017901779.webp
https://files.tungsten.run/uploads/970a8b4ce4d24008ba390b75190a1954/00002-4017901780.webp
https://files.tungsten.run/uploads/082f886f28cb4ef59898bddfdf867229/00003-4017901781.webp
This example was created by evevalentine2017
Finished in 185.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, best quality), female teenager, plump, berber, violet eyes, elongated ears, unusual nose, curved forehead, square face shape with round forehead, cheekbones, blonde braided haircut hair, sarcasm wearing high-low hem dress, g-string, bucket hat,, walking away pose, walking away with a confident and alluring stride, creating a captivating and mysterious pose, firelight, the flickering glow of a fireplace, bringing intimacy and warmth to the setting, a sunlit park, filled with children playing and families having picnics, Volumetric Lighting, Volumetric Light, Volumetric, <lora:more_details:0.4>, <lora:add_saturation:-0.4> Full negative prompt: missing wings, missing horns, Nsfw:1.7, topless, nude, ((more than 2 feet)), ((more than 2 legs)), (worst quality, low quality, large head, extra digits:1.4), EasyNegativeV2, bad_prompt_version2-neg, ng_deepnegative_v1_75t, blurry, monochrome, grayscale, 0%| | 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1.58s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.57s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.61s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.62s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.64s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.43s/it] 100%|██████████| 30/30 [00:48<00:00, 1.19s/it] 100%|██████████| 30/30 [00:48<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.18it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.17it/s] 29%|██▊ | 4/14 [00:01<00:05, 2.00it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.99it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.91it/s] 50%|█████ | 7/14 [00:03<00:03, 1.97it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.06it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.07it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.02it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.06it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.03it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.25it/s] 100%|██████████| 14/14 [00:06<00:00, 2.68it/s] 100%|██████████| 14/14 [00:06<00:00, 2.17it/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<00:07, 1.74it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.78it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.80it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.74it/s] 36%|███▌ | 5/14 [00:02<00:05, 1.77it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.77it/s] 50%|█████ | 7/14 [00:03<00:03, 1.92it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.97it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.93it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.89it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.89it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.86it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.12it/s] 100%|██████████| 14/14 [00:07<00:00, 2.50it/s] 100%|██████████| 14/14 [00:07<00:00, 1.99it/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<00:07, 1.76it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.98it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.12it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.14it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.20it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.20it/s] 50%|█████ | 7/14 [00:03<00:03, 2.32it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.39it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.38it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.32it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.34it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.43it/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<00:06, 2.17it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.17it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.21it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.17it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.22it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.21it/s] 50%|█████ | 7/14 [00:03<00:03, 2.32it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.38it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.38it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.32it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.32it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.32it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.60it/s] 100%|██████████| 14/14 [00:05<00:00, 3.04it/s] 100%|██████████| 14/14 [00:05<00:00, 2.45it/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<00:06, 2.15it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.17it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.20it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.16it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.19it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.17it/s] 50%|█████ | 7/14 [00:03<00:03, 2.30it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.36it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.34it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.27it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.27it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.30it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.58it/s] 100%|██████████| 14/14 [00:05<00:00, 3.03it/s] 100%|██████████| 14/14 [00:05<00:00, 2.42it/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<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.23it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.24it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.24it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.22it/s] 50%|█████ | 7/14 [00:03<00:02, 2.34it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.37it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.35it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.65it/s] 100%|██████████| 14/14 [00:05<00:00, 3.09it/s] 100%|██████████| 14/14 [00:05<00:00, 2.48it/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<00:05, 2.22it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.27it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.27it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.36it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.41it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.35it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.63it/s] 100%|██████████| 14/14 [00:05<00:00, 3.05it/s] 100%|██████████| 14/14 [00:05<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.17it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.18it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.21it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.18it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.22it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.22it/s] 50%|█████ | 7/14 [00:03<00:02, 2.35it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.41it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.64it/s] 100%|██████████| 14/14 [00:05<00:00, 2.99it/s] 100%|██████████| 14/14 [00:05<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.17it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.21it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.26it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.27it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.25it/s] 50%|█████ | 7/14 [00:03<00:02, 2.37it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.44it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.38it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.39it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.42it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.69it/s] 100%|██████████| 14/14 [00:05<00:00, 3.14it/s] 100%|██████████| 14/14 [00:05<00:00, 2.51it/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<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.26it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.24it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.22it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.26it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.35it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.40it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.40it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.37it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.26it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.22it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.27it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.25it/s] 50%|█████ | 7/14 [00:03<00:02, 2.35it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.42it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.39it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.34it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.33it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.34it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.63it/s] 100%|██████████| 14/14 [00:05<00:00, 3.07it/s] 100%|██████████| 14/14 [00:05<00:00, 2.48it/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<00:06, 2.16it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.18it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.21it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.18it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.22it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.20it/s] 50%|█████ | 7/14 [00:03<00:03, 2.31it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.38it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.38it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.34it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.33it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.35it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.64it/s] 100%|██████████| 14/14 [00:05<00:00, 3.09it/s] 100%|██████████| 14/14 [00:05<00:00, 2.46it/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<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.26it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.28it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.18it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.20it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.20it/s] 50%|█████ | 7/14 [00:03<00:03, 2.32it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.40it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.38it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.33it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.34it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 2.47it/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<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.23it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.18it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.17it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.23it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.37it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.42it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.40it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 2.48it/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<00:05, 2.27it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.27it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.30it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.25it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.26it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.37it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.41it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.35it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.09it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/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<00:05, 2.28it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.28it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.32it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.27it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.25it/s] 50%|█████ | 7/14 [00:03<00:02, 2.37it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.41it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.37it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.38it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.60it/s] 100%|██████████| 14/14 [00:05<00:00, 3.05it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/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<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.21it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.19it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.24it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.23it/s] 50%|█████ | 7/14 [00:03<00:02, 2.34it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.41it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.40it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 2.48it/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<00:05, 2.26it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.22it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.21it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.25it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.23it/s] 50%|█████ | 7/14 [00:03<00:02, 2.35it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.39it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.34it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.28it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.31it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.33it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.63it/s] 100%|██████████| 14/14 [00:05<00:00, 3.08it/s] 100%|██████████| 14/14 [00:05<00:00, 2.46it/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<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.23it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.27it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.18it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.23it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.20it/s] 50%|█████ | 7/14 [00:03<00:03, 2.32it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.39it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.38it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.64it/s] 100%|██████████| 14/14 [00:05<00:00, 3.07it/s] 100%|██████████| 14/14 [00:05<00:00, 2.47it/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<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.22it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.21it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.26it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.26it/s] 50%|█████ | 7/14 [00:03<00:02, 2.38it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.45it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.38it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.35it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.64it/s] 100%|██████████| 14/14 [00:05<00:00, 3.08it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/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<00:05, 2.25it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.27it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.29it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.28it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.23it/s] 50%|█████ | 7/14 [00:03<00:02, 2.36it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.40it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.34it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.37it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.39it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.