The initial phase of prompting shouldn't aim for a perfect image. Instead, the goal is to generate quickly and analyze the results to understand how the AI is interpreting your inputs (mood board, prompts, s-refs). This diagnostic step is crucial for efficient iteration.
The new model for creative service is to provide clients with a complete AI generation toolkit—including prompts, style codes, and reference images. This empowers clients to create unlimited on-brand assets themselves, shifting the value from asset delivery to system creation.
Feed an AI tool like Flora a collection of realistic selfies showing various expressions. The model can then generate new, high-quality images of you in any style or pose needed for content like YouTube thumbnails or articles, eliminating the need for photo shoots.
Instead of relying on complex text prompts, use a curated mood board as a direct visual input. Generative models like Midjourney can interpret the aesthetic, color, and style from images more effectively than from descriptive words, acting as a powerful communication shortcut.
If a reference image has an overpowering element (like bright green eyeshadow or bubblegum), it can hijack the generation. Instead of complex negative prompts, simply crop the distracting element out of the reference image and re-upload it to guide the AI toward your intended focus.
Leverage culturally significant terms like 'Vogue,' 'Dazed editorial,' or specific camera models as 'cheat codes' in your prompts. These references are packed with implicit information about style, lighting, and composition, allowing you to convey a complex aesthetic to the AI without writing lengthy descriptions.
Midjourney's mood board feature can average out the aesthetics of multiple images, leading to generic results. For more precise control, use individual images as style references (`s-refs`). This allows the model to pull more distinct and impactful stylistic elements.
For tasks like fixing hands, adding specific objects (e.g., a MacBook), or upscaling, use reasoning models like Nanonana. Think of it as a conversational Photoshop. This avoids complex prompting in Midjourney for fine-grained edits and allows for more precise control over final image details.
Midjourney's personalization feature allows you to train a preference profile by rating images. Create distinct profiles for different aesthetics (e.g., '2025 iPhone Style'). Applying these codes adds a consistent, unique layer to your generations that goes beyond what a single prompt or style reference can achieve.