# Textual Inversion [Textual Inversion](https://huggingface.co/papers/2208.01618) is a method for generating personalized images of a concept. It works by fine-tuning a models word embeddings on 3-5 images of the concept (for example, pixel art) that is associated with a unique token (``). This allows you to use the `` token in your prompt to trigger the model to generate pixel art images. Textual Inversion weights are very lightweight and typically only a few KBs because they're only word embeddings. However, this also means the word embeddings need to be loaded after loading a model with [`~DiffusionPipeline.from_pretrained`]. ```py import torch from diffusers import AutoPipelineForText2Image pipeline = AutoPipelineForText2Image.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16 ).to("cuda") ``` Load the word embeddings with [`~loaders.TextualInversionLoaderMixin.load_textual_inversion`] and include the unique token in the prompt to activate its generation. ```py pipeline.load_textual_inversion("sd-concepts-library/gta5-artwork") prompt = "A cute brown bear eating a slice of pizza, stunning color scheme, masterpiece, illustration, style" pipeline(prompt).images[0] ```

Textual Inversion can also be trained to learn *negative embeddings* to steer generation away from unwanted characteristics such as "blurry" or "ugly". It is useful for improving image quality. EasyNegative is a widely used negative embedding that contains multiple learned negative concepts. Load the negative embeddings and specify the file name and token associated with the negative embeddings. Pass the token to `negative_prompt` in your pipeline to activate it. ```py import torch from diffusers import AutoPipelineForText2Image pipeline = AutoPipelineForText2Image.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16 ).to("cuda") pipeline.load_textual_inversion( "EvilEngine/easynegative", weight_name="easynegative.safetensors", token="easynegative" ) prompt = "A cute brown bear eating a slice of pizza, stunning color scheme, masterpiece, illustration" negative_prompt = "easynegative" pipeline(prompt, negative_prompt).images[0] ```