Reads brand documentation (visual identity, product description, positioning) and generates optimized prompts for image generation (Nano Banana/Flux via fal.ai) and 3D model generation (Hunyuan3D). Use when generating visual assets from brand docs.
Reads brand documentation (visual identity, product description, positioning) and generates optimized prompts for image generation (Nano Banana/Flux via fal.ai) and 3D model generation (Hunyuan3D). Use when generating visual assets from brand docs.
Visual Asset Prompt Generator
Extracts brand context from documentation and generates structured prompts for AI image and 3D model generation, tailored to the output target (landing page, pitch deck, website).
When to Use
User wants to generate visual assets (images, 3D models) for a brand
User says "generate visuals", "create assets", "brand images", "3D models from brand"
As Step 1 of the brand-visual-pipeline
Input Variables
[BRAND_NAME] — Name of the brand (matches brands/{name}/ directory)
[BRAND_DOCS_DIR] — Path to brand docs (default: brands/{BRAND_NAME}/)
[OUTPUT_CONTEXT] — Target: landing-page | pitch-deck | website | social
[ASSET_TYPES] — What to generate: hero-image | product-shot | 3d-model | texture | all
[PRODUCT_FOCUS] — Optional: specific product/feature to emphasize
The Protocol
Phase 1: Brand Context Extraction
Read the following brand docs (in order of priority):
Visual Identity (06-visual-identity.md or visual-identity-guide.md)
website: Versatile, multiple crops possible — 3:2 or 4:3
social: Square or 4:5, high impact, minimal
For Product Shots (fal.ai / Nano Banana / Flux):
Focus on product features and materials
Use brand color palette for background/environment
Clean studio-style or contextual lifestyle based on brand guidelines
Include texture and material details
For 3D Models (Hunyuan3D):
Keep text_prompt under 200 characters (Hunyuan3D limit)
Focus on object description, not scene
Include material and finish (matte, glossy, textured)
Calculate bbox_condition ratios from product dimensions
Generate as English-only prompt
For Textures (PolyHaven search terms):
Generate search category keywords from brand materials
Match brand aesthetic (e.g., "wood" for craft, "stone" for architectural)
Phase 4: Context-Specific Optimization
Apply output-target modifications:
Context
Emphasis
Style
Format
landing-page
Emotional, atmospheric
Lifestyle + product
16:9, 1920x1080
pitch-deck
Professional, clear
Product on clean BG
16:9, 1920x1080
website
Versatile, consistent
Multiple angles
3:2, 1200x800
social
High impact, bold
Minimal, eye-catching
1:1, 1080x1080
Output Format
Generate a JSON file at brands/{BRAND_NAME}/visual-prompts.json:
{"brand":"[BRAND_NAME]","generated_at":"ISO_DATE","output_context":"[OUTPUT_CONTEXT]","brand_context":{"colors":{ ... },"mood_keywords":[...],"avoid":[...],"imagery_style":"..."},"prompts":[{"asset_id":"hero-001","type":"hero-image","service":"fal-flux","prompt":"detailed generation prompt...","negative_prompt":"things to avoid...","parameters":{"width":1920,"height":1080,"guidance_scale":7.5,"num_inference_steps":50},"brand_alignment":{"primary_color":"#HEX","mood":"keyword","style":"description"}},{"asset_id":"model-001","type":"3d-model","service":"hunyuan3d","prompt":"short english description under 200 chars","parameters":{"bbox_condition":[1.0,0.8,0.3]},"brand_alignment":{"materials":["material1"],"finish":"matte/glossy"}}]}
Also generate a human-readable summary at brands/{BRAND_NAME}/visual-generation-guide.md.
