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Two-Colored Eyes with Kawaii Niji Mix
kawaii-niji-mix:v1.0
evevalentine2017
evevalentine2017
·
Mar 18
352
Input
prompt
Specify things to see in the output
1girl, kawaii, cute, masterpiece, heterochromia, blue eyes, white pantyhose, glasses, long hair, bow, black footwear, frills, cat ears, cat tail, shoes, open mouth, yellow eyes, hair bow, looking at viewer, grey hair, black bow, mary janes, ahoge, sitting, gothic fashion, white hair, frilled dress, round eyewear, brown eyes
negative_prompt
Specify things to not see in the output
human ears, watermark, sepia, black & white, EasyNegative, NG_DeepNegative_V1_75T, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),(ugly:1.33)
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.
1040375622
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
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
anything_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)
EasyNegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/a102b7321b02470abf98a7618dcf4f50/00000-1040375622.webp
https://files.tungsten.run/uploads/f16be94ca85a4f16b8d00791af4e3565/00001-1040375623.webp
https://files.tungsten.run/uploads/5af90c3847ef4311890a5f14023583d4/00002-1040375624.webp
https://files.tungsten.run/uploads/1dc2f8d6aa8649098e7d2dd993ec0736/00003-1040375625.webp
Finished in 68.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/anything_fp16.safetensors Full prompt: 1girl, kawaii, cute, masterpiece, heterochromia, blue eyes, white pantyhose, glasses, long hair, bow, black footwear, frills, cat ears, cat tail, shoes, open mouth, yellow eyes, hair bow, looking at viewer, grey hair, black bow, mary janes, ahoge, sitting, gothic fashion, white hair, frilled dress, round eyewear, brown eyes Full negative prompt: human ears, watermark, sepia, black & white, EasyNegative, NG_DeepNegative_V1_75T, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),(ugly:1.33) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:15, 1.46it/s] 8%|▊ | 2/24 [00:01<00:14, 1.48it/s] 12%|█▎ | 3/24 [00:02<00:14, 1.49it/s] 17%|█▋ | 4/24 [00:02<00:13, 1.50it/s] 21%|██ | 5/24 [00:03<00:12, 1.49it/s] 25%|██▌ | 6/24 [00:04<00:12, 1.50it/s] 29%|██▉ | 7/24 [00:04<00:11, 1.50it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.50it/s] 38%|███▊ | 9/24 [00:06<00:10, 1.50it/s] 42%|████▏ | 10/24 [00:06<00:09, 1.49it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.50it/s] 50%|█████ | 12/24 [00:08<00:08, 1.49it/s] 54%|█████▍ | 13/24 [00:08<00:07, 1.49it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.49it/s] 62%|██████▎ | 15/24 [00:10<00:06, 1.49it/s] 67%|██████▋ | 16/24 [00:10<00:05, 1.49it/s] 71%|███████ | 17/24 [00:11<00:04, 1.49it/s] 75%|███████▌ | 18/24 [00:12<00:04, 1.49it/s] 79%|███████▉ | 19/24 [00:12<00:03, 1.49it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.49it/s] 88%|████████▊ | 21/24 [00:14<00:02, 1.49it/s] 92%|█████████▏| 22/24 [00:14<00:01, 1.49it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.48it/s] 100%|██████████| 24/24 [00:16<00:00, 1.48it/s] 100%|██████████| 24/24 [00:16<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:03, 2.61it/s] 18%|█▊ | 2/11 [00:00<00:02, 3.57it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.13it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.48it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.50it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.60it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.75it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.86it/s] 82%|████████▏ | 9/11 [00:02<00:00, 4.91it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.96it/s] 100%|██████████| 11/11 [00:02<00:00, 4.91it/s] 100%|██████████| 11/11 [00:02<00:00, 4.57it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.12it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.09it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.08it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.05it/s] 45%|████▌ | 5/11 [00:00<00:01, 4.95it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.98it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.01it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.04it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.05it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.91it/s] 100%|██████████| 11/11 [00:02<00:00, 4.66it/s] 100%|██████████| 11/11 [00:02<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.71it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.84it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.88it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.91it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.91it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.89it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.93it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.96it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.93it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.95it/s] 100%|██████████| 11/11 [00:02<00:00, 4.93it/s] 100%|██████████| 11/11 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.46s Move latents to cpu... done in 0.23s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.78it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.71it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.62it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.75it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.81it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.84it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.88it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.84it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.89it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.93it/s] 100%|██████████| 11/11 [00:02<00:00, 4.96it/s] 100%|██████████| 11/11 [00:02<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.03it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.96it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.00it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.02it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.00it/s] 55%|█████▍ | 6/11 [00:01<00:01, 5.00it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.93it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.98it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.01it/s] 91%|█████████ | 10/11 [00:02<00:00, 5.02it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.87it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.89it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.93it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.91it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.70it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.64it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.69it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.79it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.86it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.87it/s] 100%|██████████| 11/11 [00:02<00:00, 4.90it/s] 100%|██████████| 11/11 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.97it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.00it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.95it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.96it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.99it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.00it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.01it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.94it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.98it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.62it/s] 100%|██████████| 11/11 [00:02<00:00, 4.75it/s] 100%|██████████| 11/11 [00:02<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.87it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.95it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.96it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.38it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.46it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.60it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.74it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.82it/s] 82%|████████▏ | 9/11 [00:01<00:00, 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Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.82it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.95it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.00it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.00it/s] 45%|████▌ | 5/11 [00:01<00:01, 5.00it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.97it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.99it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.02it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.02it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.04it/s] 100%|██████████| 11/11 [00:02<00:00, 4.89it/s] 100%|██████████| 11/11 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.89it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.68it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.68it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.76it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.78it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.87it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.92it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.94it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.97it/s] 91%|█████████ | 10/11 [00:02<00:00, 5.00it/s] 100%|██████████| 11/11 [00:02<00:00, 5.01it/s] 100%|██████████| 11/11 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.03it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.91it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.77it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.87it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.88it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.93it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.69it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.79it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.80it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.65it/s] 100%|██████████| 11/11 [00:02<00:00, 4.76it/s] 100%|██████████| 11/11 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.83it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.86it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.93it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.73it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.80it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.84it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.48it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.64it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.68it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.78it/s] 100%|██████████| 11/11 [00:02<00:00, 4.86it/s] 100%|██████████| 11/11 [00:02<00:00, 4.77it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.61it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.77it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.78it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.86it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.85it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.78it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.84it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.85it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.90it/s] 100%|██████████| 11/11 [00:02<00:00, 4.93it/s] 100%|██████████| 11/11 [00:02<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
1girl, kawaii, cute, masterpiece, heterochromia, blue eyes, white pantyhose, glasses, long hair, bow, black footwear, frills, cat ears, cat tail, shoes, open mouth, yellow eyes, hair bow, looking at viewer, grey hair, black bow, mary janes, ahoge, sitting, gothic fashion, white hair, frilled dress, round eyewear, brown eyes
negative_prompt
Specify things to not see in the output
human ears, watermark, sepia, black & white, EasyNegative, NG_DeepNegative_V1_75T, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),(ugly:1.33)
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.
1040375622
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
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
anything_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)
EasyNegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/a102b7321b02470abf98a7618dcf4f50/00000-1040375622.webp
https://files.tungsten.run/uploads/f16be94ca85a4f16b8d00791af4e3565/00001-1040375623.webp
https://files.tungsten.run/uploads/5af90c3847ef4311890a5f14023583d4/00002-1040375624.webp
https://files.tungsten.run/uploads/1dc2f8d6aa8649098e7d2dd993ec0736/00003-1040375625.webp
Finished in 68.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/anything_fp16.safetensors Full prompt: 1girl, kawaii, cute, masterpiece, heterochromia, blue eyes, white pantyhose, glasses, long hair, bow, black footwear, frills, cat ears, cat tail, shoes, open mouth, yellow eyes, hair bow, looking at viewer, grey hair, black bow, mary janes, ahoge, sitting, gothic fashion, white hair, frilled dress, round eyewear, brown eyes Full negative prompt: human ears, watermark, sepia, black & white, EasyNegative, NG_DeepNegative_V1_75T, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),(ugly:1.33) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:15, 1.46it/s] 8%|▊ | 2/24 [00:01<00:14, 1.48it/s] 12%|█▎ | 3/24 [00:02<00:14, 1.49it/s] 17%|█▋ | 4/24 [00:02<00:13, 1.50it/s] 21%|██ | 5/24 [00:03<00:12, 1.49it/s] 25%|██▌ | 6/24 [00:04<00:12, 1.50it/s] 29%|██▉ | 7/24 [00:04<00:11, 1.50it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.50it/s] 38%|███▊ | 9/24 [00:06<00:10, 1.50it/s] 42%|████▏ | 10/24 [00:06<00:09, 1.49it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.50it/s] 50%|█████ | 12/24 [00:08<00:08, 1.49it/s] 54%|█████▍ | 13/24 [00:08<00:07, 1.49it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.49it/s] 62%|██████▎ | 15/24 [00:10<00:06, 1.49it/s] 67%|██████▋ | 16/24 [00:10<00:05, 1.49it/s] 71%|███████ | 17/24 [00:11<00:04, 1.49it/s] 75%|███████▌ | 18/24 [00:12<00:04, 1.49it/s] 79%|███████▉ | 19/24 [00:12<00:03, 1.49it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.49it/s] 88%|████████▊ | 21/24 [00:14<00:02, 1.49it/s] 92%|█████████▏| 22/24 [00:14<00:01, 1.49it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.48it/s] 100%|██████████| 24/24 [00:16<00:00, 1.48it/s] 100%|██████████| 24/24 [00:16<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:03, 2.61it/s] 18%|█▊ | 2/11 [00:00<00:02, 3.57it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.13it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.48it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.50it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.60it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.75it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.86it/s] 82%|████████▏ | 9/11 [00:02<00:00, 4.91it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.96it/s] 100%|██████████| 11/11 [00:02<00:00, 4.91it/s] 100%|██████████| 11/11 [00:02<00:00, 4.57it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.12it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.09it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.08it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.05it/s] 45%|████▌ | 5/11 [00:00<00:01, 4.95it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.98it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.01it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.04it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.05it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.91it/s] 100%|██████████| 11/11 [00:02<00:00, 4.66it/s] 100%|██████████| 11/11 [00:02<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.71it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.84it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.88it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.91it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.91it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.89it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.93it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.96it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.93it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.95it/s] 100%|██████████| 11/11 [00:02<00:00, 4.93it/s] 100%|██████████| 11/11 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.46s Move latents to cpu... done in 0.23s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.78it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.71it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.62it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.75it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.81it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.84it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.88it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.84it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.89it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.93it/s] 100%|██████████| 11/11 [00:02<00:00, 4.96it/s] 100%|██████████| 11/11 [00:02<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.03it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.96it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.00it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.02it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.00it/s] 55%|█████▍ | 6/11 [00:01<00:01, 5.00it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.93it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.98it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.01it/s] 91%|█████████ | 10/11 [00:02<00:00, 5.02it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.87it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.89it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.93it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.91it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.70it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.64it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.69it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.79it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.86it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.87it/s] 100%|██████████| 11/11 [00:02<00:00, 4.90it/s] 100%|██████████| 11/11 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.97it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.00it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.95it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.96it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.99it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.00it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.01it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.94it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.98it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.62it/s] 100%|██████████| 11/11 [00:02<00:00, 4.75it/s] 100%|██████████| 11/11 [00:02<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.87it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.95it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.96it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.38it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.46it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.60it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.74it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.82it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.81it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.74it/s] 100%|██████████| 11/11 [00:02<00:00, 4.75it/s] 100%|██████████| 11/11 [00:02<00:00, 4.72it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.82it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.92it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.91it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.83it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.90it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.86it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.67it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.77it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.84it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.89it/s] 100%|██████████| 11/11 [00:02<00:00, 4.87it/s] 100%|██████████| 11/11 [00:02<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.94it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.99it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.02it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.95it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.01it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.02it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.97it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.86it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.86it/s] 100%|██████████| 11/11 [00:02<00:00, 4.90it/s] 100%|██████████| 11/11 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.65it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.84it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.93it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.96it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.98it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.93it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.95it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.97it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.99it/s] 91%|█████████ | 10/11 [00:02<00:00, 5.00it/s] 100%|██████████| 11/11 [00:02<00:00, 4.83it/s] 100%|██████████| 11/11 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.82it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.95it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.00it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.00it/s] 45%|████▌ | 5/11 [00:01<00:01, 5.00it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.97it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.99it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.02it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.02it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.04it/s] 100%|██████████| 11/11 [00:02<00:00, 4.89it/s] 100%|██████████| 11/11 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.89it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.68it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.68it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.76it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.78it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.87it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.92it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.94it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.97it/s] 91%|█████████ | 10/11 [00:02<00:00, 5.00it/s] 100%|██████████| 11/11 [00:02<00:00, 5.01it/s] 100%|██████████| 11/11 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.03it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.91it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.77it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.87it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.88it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.93it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.69it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.79it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.80it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.65it/s] 100%|██████████| 11/11 [00:02<00:00, 4.76it/s] 100%|██████████| 11/11 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.83it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.86it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.93it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.73it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.80it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.84it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.48it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.64it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.68it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.78it/s] 100%|██████████| 11/11 [00:02<00:00, 4.86it/s] 100%|██████████| 11/11 [00:02<00:00, 4.77it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.61it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.77it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.78it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.86it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.85it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.78it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.84it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.85it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.90it/s] 100%|██████████| 11/11 [00:02<00:00, 4.93it/s] 100%|██████████| 11/11 [00:02<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Uploading outputs... Finished.