Traceback (most recent call last):
File "/content/drive/MyDrive/sd-lora-trainer/main.py", line 565, in <module>
for progress in train(config=config):
File "/content/drive/MyDrive/sd-lora-trainer/main.py", line 433, in train
validation_prompts = render_images(
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "/content/drive/MyDrive/sd-lora-trainer/trainer/inference.py", line 323, in render_images
validation_prompts_raw = random.sample(val_prompts["face"], n_imgs)
File "/usr/lib/python3.10/random.py", line 482, in sample
raise ValueError("Sample larger than population or is negative")
ValueError: Sample larger than population or is negative
I get this error consistently when using the face setting in Colab.
I get this error consistently when using the face setting in Colab.