> For the complete documentation index, see [llms.txt](https://help.arcanalabs.ai/learning-center/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.arcanalabs.ai/learning-center/demos-and-tutorials/getting-that-human-feel-with-x-ray.md). # Getting that human feel with X-Ray Prompting has its limitations but with Arcana's robust toolset you can achieve results that vastly improve upon classic prompting. The secret is using smart references. Let's explore... * [ ] Use a reference image and upload it into one of the X-ray tools * [ ] Prompt intelligently, writing what you want to see. * [ ] Use the MJ XL model. * [ ] Cherry pick your favorite result and send to Transform Suite so to inpaint for refinements and adjustments

See how human that feels?

Prompt: "Furry monsters arguing"
Model: MJ XL
Style: Cinematic

Even as fictional monsters you can sense the humanity underlying the fiction

To see the entire tutorial on how these images end up being used for our monster short film see this link: (COMING SOON) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://help.arcanalabs.ai/learning-center/demos-and-tutorials/getting-that-human-feel-with-x-ray.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.