Tips & Workflows8 min read

Prompt Engineering for Image AI: Tips That Actually Work

Level up your AI image prompts with proven techniques. Get better results from any model consistently.

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The difference between a mediocre AI image and a stunning one is almost always the prompt. Here are techniques that consistently produce better results across all ImgGPT models.

Prompt Structure

A well-structured prompt has four components:

1. Subject

What is the main focus? Be specific. "A woman" is vague. "A professional photographer in her 30s holding a vintage film camera" gives the model something to work with.

2. Setting/Environment

Where is the subject? "In a sunlit studio with exposed brick walls and large windows" creates context. Without a setting, the model invents one randomly.

3. Style

How should the image look? "Photorealistic," "watercolor painting," "3D render," "flat illustration," "cinematic film still" — the style directive shapes everything about the output.

4. Technical Details

Camera angle, lighting, color palette, mood. "Shot from a low angle, warm golden hour lighting, shallow depth of field, soft bokeh in the background."

A complete prompt reads like a creative brief: subject + setting + style + technical details. Not every prompt needs all four, but more detail generally produces better results.

Model-Specific Tips

Flux Models

Flux responds well to detailed, descriptive prompts. Be explicit about what you want. Mentioning camera settings ("shot on 35mm film," "f/1.8 aperture") and lighting conditions produces more photorealistic results.

Seedream Models

Seedream is tuned for aesthetics. Use terms like "beautiful," "aesthetic," "high-end photography," "editorial style." Seedream interprets these aesthetic keywords better than most models.

Recraft Models

Recraft needs explicit text placement instructions. If you want text in the image, put it in quotes within the prompt: 'A store sign that reads "COFFEE HOUSE" in elegant serif font.' Be specific about font style and placement.

Kontext Models

Kontext prompts should describe what you want changed, not the entire scene. If editing an existing image: "Change the background to a beach sunset" or "Make the outfit a red dress" works better than re-describing the entire image.

Common Mistakes

Too Vague

"A beautiful landscape" gives the model no direction. Be specific: "A misty mountain lake at dawn, with pine trees reflected in still water, Pacific Northwest atmosphere."

Too Long and Contradictory

A prompt with 20 different instructions often produces confused results. Focus on the most important elements. If your prompt is longer than 3 sentences, consider simplifying.

Ignoring Negative Concepts

If you keep getting unwanted elements, add what you do not want at the end: "No text, no watermarks, no borders."

Iteration Strategy

Start Cheap

Test prompts with Flux Schnell (1 credit). Generate 3-4 variations. Evaluate what is working and what is not.

Refine the Prompt

Adjust based on what the cheap model produced. Add details that were missing, remove instructions that created unwanted effects.

Upgrade the Model

Once your prompt is producing good compositions, switch to a higher-quality model (Flux Pro, Seedream 4, or Kontext Pro) for the final output.

This iteration strategy means you spend 3-5 credits refining your prompt instead of 15-25 credits generating with an expensive model from the start.

Prompt Patterns That Work

Product Photography

"Professional product photo of [item], centered on a clean white background, studio lighting, commercial photography style, sharp focus, high resolution"

Portrait

"Professional headshot of [description], neutral background, soft diffused lighting, slight smile, shot at f/2.8, editorial portrait photography"

Landscape

"[Location/scene description], golden hour, dramatic sky, wide angle lens, landscape photography, vibrant colors, high dynamic range"

Logo/Brand

"Minimalist logo design for [brand], [style] aesthetic, clean lines, [color] palette, professional brand identity" (use Recraft for this)

The best prompts are specific, structured, and matched to the right model.

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