pipe.load_textual_inversion("embed/negative",weight_name="EasyNegativeV2.safetensors",token="EasyNegative")
When I ran the code above, I got the following message How can I resolve this issue?
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 49539. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc