# Artist Introducing Artist - A training-free text-driven image stylization Stable Diffusion (SD) model. No training, No ControNets, No LoRAs\ \ What is Artist? *Artist* is a training-free text-driven image stylization method. You give an image and input a prompt describing the desired style, *Artist* give you the stylized image in that style. The detail of the original image and the style you provide is harmonically integrated. No need to train, no need to download any ControNets or LoRAs. Just use a pretrained Stable Diffusion. \ \> Given an image and a prompt describing the desired style, Artist produces stylized image\ \> OG Image details are preserved\ \> Just a pretrained SD is needed\ \ There are multiple ways to try out Artist👩‍🎨 with Gradio:\ 🔥 Build gradio UI for Artist locally on your machine: \ ✅ Google Colab : \ 🤗 Try [Hugging Face](https://www.linkedin.com/company/huggingface/) Space by [Sylvain F.](https://www.linkedin.com/in/sylvainfillion/) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metaverse-imagen.gitbook.io/ai-tools-research/ai-tools-main-categories/images-art-and-design/image-generation/artist.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.