Style Selector for A1111 + ChatGPT HACK!!!!

What if the only limit on your AI art styles was your imagination... and a copy-paste into ChatGPT? Turns out, it is.

The Tool That Changes the Game

There's an extension for Automatic1111 called StyleSelectorXL that does something deceptively simple. It injects curated keywords into your positive and negative prompts... no LoRA files, no model swapping, no fuss. You pick a style from a list, and BAM, your basic prompt transforms into something stunning.

Origami. Pointillism. Surrealism. All from a prompt as plain as "woman sitting on a chair."

The name says "XL" but don't let that fool you. It works beautifully with Stable Diffusion 1.5 models. Pair it with a flexible base model like Dreamshaper 7 and the results are genuinely mind-blowing.

Installation: Three Clicks and Done

Grab the GitHub URL for StyleSelectorXL. Inside Automatic1111, navigate to Extensions > Install from URL. Paste. Click install. Restart the whole application so everything loads clean.

When you scroll down in your txt2img tab, you'll see a new section: SDXL Styles. A grid of radio buttons, each one a different artistic universe waiting to be applied.

One critical detail... keep your prompt short and your negative prompt nearly empty. The extension handles the heavy lifting by appending its own carefully crafted keywords. You just provide the subject. Let the tool do what it was built to do.

Under the Hood: It's Just a JSON File

Here's where it gets interesting for the curious among us.

Dive into your Automatic1111 directory: `extensions/StyleSelectorXL/`. Inside, you'll find a JSON file called `sdxl_styles.json`. Open it with any text editor and the magic is revealed. Each style is a simple object with three fields:

- name — what shows up in the UI - prompt — keywords that get wrapped around your `{prompt}` placeholder - negative_prompt — keywords that steer the generation away from unwanted artifacts

That's it. No black box. No mysterious model weights. Just structured text telling Stable Diffusion how to think about your image.

Understanding this structure is the key that unlocks everything.

The Hack: ChatGPT as Your Style Factory

This is the part that made me sit up straight.

Copy a few example entries from that JSON file. Head over to ChatGPT. Write a prompt like this:

"Create a new file using this format example, but make all the prompts about 10 painting styles. Don't use the content from the example."

Paste your examples below that instruction.

Hit enter.

Watch ChatGPT generate perfectly formatted JSON with brand new art styles... Impressionism, Abstract Expressionism, Cubism, Gothic Art... complete with intelligent positive and negative prompt keywords. Copy the output. Save it as a `.json` file.

You just created unlimited custom art styles without writing a single prompt keyword yourself.

The Workaround (For Now)

The extension currently reads from one file with one specific name: `sdxl_styles.json`. So to use your new styles, you rename the original file to something like `sdxl_styles.json.old` and rename your new file to `sdxl_styles.json`. Restart Automatic1111.

Your fresh styles appear in the UI. Ready to roll.

Alternatively, you can copy your new style entries directly into the existing file. More styles in one place. No renaming dance.

It's a minor friction point. But understanding file-level configuration means you're never stuck waiting for someone else to build the feature you need.

The Bigger Principle

Here's what actually matters beyond this specific tool.

The technique of feeding an LLM a structural example and asking it to generate new content in that exact format... that's not just a Stable Diffusion trick. That's a thinking pattern. A transferable skill.

Configuration files. Templates. Structured data. Anywhere you need consistent formatting with variable content, this approach works. Prompt engineering isn't just about getting pretty pictures. It's about teaching a machine to extend your creative vocabulary in formats you can actually use.

The real superpower here isn't the extension. It's the combination. A tool that reads structured text plus an AI that writes structured text equals a workflow limited only by what you can imagine asking for.

Practical Tips for Getting the Most Out of This

1. Use a flexible model. Dreamshaper 7 responds well to a wide range of stylistic keywords. Rigid, specialized models won't bend as gracefully. 2. Keep prompts simple. Subject and setting. Let the style keywords do the creative heavy lifting. 3. Negative prompts matter. The extension's negative keywords are doing real work... preventing blurriness, deformity, and style drift. Don't clutter that field with your own additions unless absolutely necessary. 4. Ask ChatGPT for more than 10. Push it to 30, 50 styles. Build themed collections... photography styles, anime substyles, architectural rendering modes. 5. Back up your original file. Always. Rename it. Don't delete it. Future you will be grateful.

Finding that special place where work and play intertwine is magical for creating deep neural connections. That's not just a metaphor here... it's literally what's happening when you combine creative curiosity with smart tooling. You don't need to be a JSON expert or a prompt engineer to do this. You just need the willingness to peek behind the curtain, copy a little text, and ask a good question. The tools are already waiting for you. Go build something that didn't exist five minutes ago. 💙

--- Source: https://www.youtube.com/watch?v=6aZONG75dr0