Let's assume you have an automotive blog running on the CyberSEO Pro plugin, which automatically posts new articles daily. These articles are generated by OpenAI GPT based on a list of article titles you've provided. Suppose you also have a cooking recipes blog and a blog dedicated to pets. You can find detailed instructions on how to automatically generate unique articles with HTML formatting for these blogs on the plugin's website, which includes documentation and numerous articles with detailed guidance.
However, you'll also need images for these articles. The plugin can import images from Google Image search or Pixabay stock, but these won't be unique. For this reason, I recommend using built-in tools like DALL-E 3 and Stable Diffusion XL. These tools can generate excellent images for your articles based solely on the topic titles.
Let's take, for example, article titles from both of your blogs: "Roasted Garlic Pasta" from the cooking blog and "Puppy Biting: What's Normal, What's Not, and How to Curb It" from the pet blog. You would give DALL-E 3 and Stable Diffusion XL a simple task like this (in the CyberSEO Pro settings, the shortcode %post_title% will automatically be replaced with the title of the current post being generated):
"A highly realistic image for a blog article on the topic of '%post_title%'"
As a result, the plugin will add images like these to your articles:
DALL-E 3 for "Roasted Garlic Pasta":
DALL-E 3 for "Puppy Biting: What's Normal, What's Not, and How to Curb It":
Stable Diffusion XL for "Roasted Garlic Pasta":
Stable Diffusion XL for "Puppy Biting: What's Normal, What's Not, and How to Curb It":
I think the image quality is ok, suitable for an autoblog that runs on full autopilot and does not require any manual input.
This is not Midjourney, but DALL-E 3 and Stable Diffusion, which are integrated with the plugin via REST API. And these images are not handpicked 1 out of 4. They are the first ones autogenerated for given prompts.