image  Textual inversion can also be trained on undesirable things to create negative embeddings to discourage a model from generating images with those undesirable things like blurry images or extra fingers on a hand. This can be an easy way to quickly improve your prompt. You’ll also load the embeddings with load_textual_inversion(), but this time, you’ll need two more parameters: weight_name: specifies the weight file to load if the file was saved in the 🤗 Diffusers format with a specific name or if the file is stored in the A1111 format token: specifies the special word to use in the prompt to trigger the embeddings Let’s load the sayakpaul/EasyNegative-test embeddings:   Copied pipeline.load_textual_inversion(