Ramadan - Create beautiful and professional images with Midjourney
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Produce beautiful and professional Ramadan images with Midjourney's image creator.
Ramadan Mubarak Poster

Start by creating a background using a gradient of blue and red colors. This will help to create a vibrant and eye-catching design. Add an image or illustration of a mosque or a crescent moon to represent the significance of Ramadan. You could also include an image of a date palm tree, which is often associated with the holy month. Use a bold font in white or gold to write a message of congratulat...
Ramadan in Oman

oman ramadan , Islamic nature background , cinematic composition, cinematic high detail, ultra realistic, cinematic lighting, Depth of Field, hyper-detailed , beautifully color-coded, beautifully color graded, Super-Resolution, Megapixel, ProPhoto RGB, Halfrear Lighting , Backlight, Natural Lighting, Optical Fiber, Moody Lighting, Cinematic Lighting, Studio Lighting, Soft Lighting , Volumetric, Co...
What is “prompt engineering”?
A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”


Become a prompt researcher instead of engineer
- If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
- For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?
Become a prompt researcher instead of engineer
- The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
- Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.