Based on the documentation provided, LLM itself is not designed to generate images - it's primarily a tool for working with Large Language Models that process and generate text. However, there are a few ways you could approach image creation with LLM:
## 1. Generate Code for Image Creation
You can use LLM to generate code that creates images. For example:
```bash
llm 'Python code to create a simple image using PIL' --extract
```
The `--extract` flag will return just the code block without explanations.
## 2. Use Tools to Generate Images
You could create a custom tool that generates images. Here's an example of how you might define an image generation function:
```bash
llm --functions '
def generate_image(prompt: str) -> str:
"""Generate an image based on the prompt using an AI service."""
# This would integrate with an image generation API
# like DALL-E, Midjourney, or Stable Diffusion
return "Image generated and saved to image.png"
' 'Create an image of a sunset over mountains'
```
## 3. Integration with Image Generation APIs
While not directly supported in the base LLM tool, you could:
1. **Create a plugin** that integrates with image generation services like:
- OpenAI's DALL-E API
- Stability AI's Stable Diffusion
- Midjourney API
- Other image generation services
2. **Use LLM with existing tools** - Generate detailed prompts with LLM and pipe them to image generation tools:
```bash
llm 'Create a detailed artistic prompt for generating an image of a futuristic city' | some-image-generator
```
## 4. Process Existing Images
LLM can work with images as input (for vision-capable models) but not generate them:
```bash
llm "describe this image" -a image.jpg
```
If you're specifically looking to generate images, you'd need to use dedicated image generation tools or APIs alongside LLM, potentially creating custom tools or plugins to bridge the two functionalities.