AI Image Generation
Create photorealistic interior visualizations using AI to show materials in context and present design concepts to clients.
Transform your material selections into photorealistic interior visualizations using Palett's AI image generation. Perfect for client presentations, design exploration, and showing materials in realistic contexts.
What is AI Image Generation?
AI image generation creates:
- Photorealistic room concepts from text descriptions
- Material visualizations showing your selections in context
- Design mockups for client presentations
- Iterative variations to explore different directions
- High-quality images suitable for presentations and portfolios
Powered by: Advanced generative AI models trained on interior design imagery
Getting Started
Access AI Generation
Three ways to generate:
-
Visualize Tab: Dedicated workspace for AI sessions
- Go to project → Visualize
- Click "New Session" or "+ Generate"
-
AI Chat: Conversational generation
- Open chat → "Generate a modern living room concept"
- AI guides you through the process
-
Quick Generate: From boards or materials
- Select materials → "Visualize in Room"
Your First Generation
Simple 3-step process:
-
Describe your vision:
"Modern living room with natural light, mid-century furniture, and neutral color palette" -
(Optional) Attach references: Add up to 14 images from your boards
-
Click "Generate": Wait 30-60 seconds
Writing Effective Prompts
Prompt Structure
Good prompt includes:
- Room type: Living room, kitchen, office, hotel lobby
- Style: Modern, traditional, coastal, industrial
- Key features: Natural light, high ceilings, open concept
- Mood/atmosphere: Warm and inviting, minimalist, luxurious
- Specific elements: Fireplace, built-ins, large windows
Example prompt:
"Spacious modern kitchen with waterfall island, brass fixtures,
white marble backsplash, natural oak cabinets, and abundant
natural light through large windows. Warm and inviting atmosphere."
Prompt Best Practices
Be specific but not overly prescriptive:
✅ Good: "Modern living room with a large sectional sofa and abstract art"
❌ Too vague: "Nice living room"
❌ Too prescriptive: "Living room with sofa at 45-degree angle, exactly 3 throw pillows, lamp 2 feet to the left"
Describe atmosphere, not just objects:
✅ Good: "Cozy, warm, inviting space with soft textures"
❌ Object-focused: "Room with couch, table, lamp, rug"
Include lighting cues:
- "Natural light streaming through windows"
- "Warm ambient lighting"
- "Dramatic spotlighting on artwork"
- "Soft diffused light"
Mention scale when relevant:
- "Intimate breakfast nook"
- "Grand hotel lobby with 20-foot ceilings"
- "Compact urban studio apartment"
Using Reference Images
Adding References
Attach up to 14 reference images to guide the AI:
From your boards:
- Click "Add References"
- Select materials from your project boards
- AI incorporates those materials into the design
Upload inspiration:
- Click "Upload"
- Add client mood board images, Pinterest photos, style references
- AI matches the aesthetic
Types of References
Material references (from your boards):
- Flooring samples
- Wall finishes
- Fabric swatches
- Tile patterns
- Lighting fixtures
Style references (inspiration images):
- Pinterest room photos
- Magazine clippings
- Client's favorite spaces
- Competitor designs (for differentiation)
Spatial references:
- The actual room to be designed (before photos)
- Similar room layouts
- Architectural details
Reference Strategy
For material-focused visualizations:
Attach: 5-8 specific materials from your boards
Prompt: "Modern bathroom featuring these materials"
Result: AI creates scene showcasing your selections
For style exploration:
Attach: 3-5 inspiration images with desired aesthetic
Prompt: "Coastal living room in this style"
Result: AI interprets the style, generates similar vibe
For client presentations:
Attach: Client's existing space photo + your material selections
Prompt: "Redesign this space with these materials"
Result: Shows transformation with your specified materials
Visualization Modes
Choose how AI interprets your prompt and references:
Room Scene (Default)
What it creates: Photorealistic interior with materials in context
Best for:
- Client presentations
- Showing materials in realistic settings
- Portfolio pieces
Example:
Prompt: "Modern kitchen with the attached marble and brass fixtures"
Result: Full kitchen scene with your materials integrated naturally
Mood Board
What it creates: Styled arrangement showing all materials together
Best for:
- Material palette presentations
- Quick client review of selections
- Comparing multiple material combinations
Example:
Prompt: "Create mood board with these materials"
Result: Artistic layout showing materials as cohesive collection
Material Study
What it creates: Close-up details and texture focus
Best for:
- Highlighting material quality
- Showing texture and detail
- Technical presentations
Example:
Prompt: "Close-up study of this tile pattern"
Result: Detailed view showing tile texture, grout, finish
Inspiration
What it creates: Creative interpretation, artistic freedom
Best for:
- Exploring new directions
- Early concept phase
- Creative brainstorming
Example:
Prompt: "Interpret these materials in an unexpected way"
Result: AI takes creative liberties, suggests novel applications
Generation Settings
Quality Settings
Draft (2 credits):
- Faster generation (~30 seconds)
- Lower resolution (1024x1024)
- Good for internal review and iteration
Standard (4 credits):
- Balanced speed and quality (~45 seconds)
- Medium resolution (1536x1536)
- Good for most client presentations
High Quality (6 credits):
- Slower generation (~60 seconds)
- High resolution (2048x2048)
- Best for final presentations and prints
Aspect Ratio
- Square (1:1): Balanced, versatile
- Landscape (16:9): Wide rooms, panoramic views
- Portrait (9:16): Vertical spaces, tall ceilings
- Custom: Specify exact dimensions
Iterating and Refining
Generating Variations
Not happy with the first result? Refine it:
Adjust the prompt:
Original: "Modern living room"
Refined: "Modern living room with more natural light and lighter colors"
Add/remove references: Change which materials or images are attached
Change mode: Try "Material Study" instead of "Room Scene"
Adjust settings: Increase quality, change aspect ratio
Iteration Strategy
Start broad, then narrow:
-
Round 1: General concept
- "Modern office space"
- Generate 2-3 options
-
Round 2: Refine preferred direction
- "Modern office with natural wood and green accents"
- Generate 2-3 variations
-
Round 3: Final polish
- "Modern office with oak desk, sage walls, brass lighting"
- Generate 1-2 finals
Cost: 3 rounds × 3 images × 4 credits = 36 credits
Common Refinements
Lighting adjustments:
- "Brighter" / "More dramatic lighting"
- "Add natural light from windows"
- "Warmer lighting"
Color tweaks:
- "Lighter palette"
- "More colorful"
- "Neutral tones only"
Composition changes:
- "Different camera angle"
- "Wider view"
- "Focus on the fireplace area"
Best Practices
1. Generate Multiple Options
Don't settle for first result:
- Generate 3-5 initial concepts
- Show client variety
- Identify which direction resonates
Budget: 3-5 images × 4 credits = 12-20 credits
2. Use References Strategically
Too few references (0-2): AI has creative freedom but may not match your vision
Right amount (5-8): AI has guidance but room for creativity
Too many (12-14): Can confuse AI, conflicting styles
Sweet spot: 5-8 references that tell a cohesive story
3. Start with Draft Quality
Workflow:
- Generate 5 draft concepts (2 credits each = 10 credits)
- Client picks favorite
- Regenerate that one in high quality (6 credits)
Savings: 16 credits vs. 30 credits (if all were high quality)
4. Save Everything
Even "failed" generations:
- Document what didn't work
- Learn what prompts/references work best
- Show client evolution of design
5. Organize in Sessions
Create folders in Visualize tab:
- "Option A - Modern"
- "Option B - Traditional"
- "Client Rejected"
- "Finals"
Keeps iterations organized.
Advanced Techniques
Material Swapping
Scenario: Client approved design but wants different material
Method:
- Open approved visualization
- Click "Remix"
- Remove old material reference, add new material
- Keep same prompt
- Generate
Result: Same room, different material
Style Transfer
Scenario: Client loves Room A's layout but Room B's style
Method:
- Use Room A photo as reference
- Prompt: "Redesign in the style of [Room B style]"
- Generate
Result: Room A layout with Room B aesthetic
Before/After Comparisons
Create client-ready presentations:
- Generate "before" (current space)
- Generate "after" (your design)
- Place side-by-side in PDF export
- Show transformation
Troubleshooting
"Result doesn't match my materials"
Causes:
- Too many conflicting references
- Prompt overrides material references
- Materials not clear in reference images
Solutions:
- Reduce to 5-8 key materials
- Be specific: "Feature the attached marble tile prominently"
- Use clearer material photos (close-ups, good lighting)
"AI ignored my prompt"
Causes:
- Prompt conflicts with references
- Ambiguous language
- Asking for impossible combinations
Solutions:
- Simplify prompt, be more direct
- Remove conflicting references
- Try different phrasing
"Images look unrealistic or weird"
Causes:
- Unusual or rare combinations
- Conflicting style references
- AI hallucination
Solutions:
- Regenerate (results vary)
- Adjust references to be more coherent
- Try different mode (Material Study instead of Room Scene)
Credit Management
Costs per image:
- Draft: 2 credits
- Standard: 4 credits
- High Quality: 6 credits
Monthly allocations:
- Free: 25 one-time starter credits
- Professional: 350 credits/month
- Studio: 800 credits/month
- Agency: 2,500 credits/month
Strategies:
- Use drafts for iteration (save 2-4 credits per image)
- Generate high-quality only for finals
- Buy credit packs if you exceed monthly allocation
See Understanding Credits for details.
What's Next?
- Video Generation: Turn visualizations into animated walkthroughs
- AI Chat: Generate via conversation
- Understanding Credits: Manage your credit usage
Need help? Chat with us (bottom right) or email support@palett.space.
Was this page helpful?