Web Create Assets

Create professional UI assets that perfectly match your existing web application's design system.

Quick Start

# 1. Capture screenshots of your existing UI (optional - uses webapp-testing skill first)
# 2. Analyze screenshots and extract style
python3 scripts/analyze_style.py --screenshots ./screenshots --output style_guide.json

# 3. Create UI asset plan
python3 scripts/create_asset_plan.py --style style_guide.json --requirements requirements.json --output asset_plan.json

# 4. Generate assets
python3 scripts/generate_assets.py --plan asset_plan.json --output ./new_assets

Workflow Overview

┌──────────────────┐    ┌──────────────────┐    ┌──────────────────┐
│ 1. ANALYZE       │ →  │ 2. PLAN          │ →  │ 3. GENERATE      │
│ Extract style    │    │ Define assets    │    │ Create matching  │
│ from screenshots │    │ with specs       │    │ professional     │
│                  │    │                  │    │ assets           │
└──────────────────┘    └──────────────────┘    └──────────────────┘

Phase 1: Style Analysis

Extract Style from Screenshots

Analyze existing UI screenshots to extract:

• Color Palette: Primary, secondary, accent, background, text colors
• Typography Style: Font characteristics, weight preferences, sizing patterns
• Visual Patterns: Shadows, borders, corner radii, spacing
• Component Aesthetics: Button styles, card treatments, input fields

python3 scripts/analyze_style.py \
  --screenshots ./screenshots \
  --output style_guide.json \
  --extract-colors \
  --extract-typography \
  --extract-patterns

Style Guide Output Format

{
  "project_name": "MyApp",
  "extracted_from": ["screenshot1.png", "screenshot2.png"],
  "color_palette": {
    "primary": "#0066FF",
    "secondary": "#00D9FF",
    "accent": "#FF6B35",
    "background": "#0F172A",
    "surface": "#1E293B",
    "text_primary": "#F8FAFC",
    "text_secondary": "#94A3B8"
  },
  "typography": {
    "style": "modern sans-serif",
    "weights": ["400", "600", "700"],
    "characteristics": "clean, geometric, high readability"
  },
  "visual_patterns": {
    "shadows": "subtle drop shadows, 4-8px blur",
    "borders": "1px solid with low opacity",
    "corner_radius": "8-12px for cards, 4-6px for buttons",
    "spacing": "8px base grid, generous whitespace"
  },
  "style_summary": "Modern minimalist tech aesthetic with dark mode, blue primary accent"
}

Phase 2: Asset Planning

Create Comprehensive UI Asset Plan

Define what assets to create with specifications:

python3 scripts/create_asset_plan.py \
  --style style_guide.json \
  --requirements asset_requirements.json \
  --output asset_plan.json

Asset Requirements Input

{
  "assets": [
    {
      "type": "icon",
      "name": "dashboard_icon",
      "concept": "Analytics dashboard",
      "size": 24,
      "transparent": true
    },
    {
      "type": "hero_banner",
      "name": "homepage_hero",
      "concept": "Productivity workspace",
      "aspect_ratio": "16:9",
      "text_overlay_area": "left"
    },
    {
      "type": "product_mockup",
      "name": "app_mockup",
      "concept": "Mobile app on iPhone",
      "environment": "modern desk setup"
    }
  ]
}

Asset Plan Output

{
  "style_guide": { /* reference to style */ },
  "assets": [
    {
      "id": "dashboard_icon",
      "type": "icon",
      "name": "Dashboard Analytics Icon",
      "specifications": {
        "size": "24x24px",
        "format": "SVG/PNG",
        "style": "outlined, 1.5px stroke",
        "colors": ["#0066FF"]
      },
      "prompt": "Minimalist vector icon of analytics dashboard with bar chart...",
      "model": "google:4@2",
      "transparent": true
    }
  ]
}

Phase 3: Asset Generation

Runware Model Configuration

Generate Assets

python3 scripts/generate_assets.py \
  --plan asset_plan.json \
  --output ./generated_assets \
  --iterations 3

Model Auto-Selection

The script automatically selects the appropriate model:

• Requires transparency → GPT Image 1.5 (openai:4@1)
• All other assets → Nano Banana 2 (google:4@2)

Force specific model:

python3 scripts/generate_assets.py --plan asset_plan.json --model nano
python3 scripts/generate_assets.py --plan asset_plan.json --model gpt

Asset Type Specifications

1. Icons (UI Iconography)

Size Standards:

Specifications:

• Style: Outlined or filled (consistent across set)
• Stroke weight: 1.5-2px
• Corner radius: 2px for rounded elements
• Format: SVG (preferred) or PNG with transparency
• Grid: 24x24px base with 2px padding

Prompt Template:

Minimalist vector icon of [subject], [outlined/filled] style, 
[stroke weight] stroke, [primary color], clean geometric shapes, 
professional UI design, 24px optimized, simple and recognizable, 
[transparent/white] background

2. Hero Banners

Dimension Standards:

Specifications:

• Composition: Rule of thirds, text safe zone (center 60%)
• Lighting: Professional, consistent direction
• Negative space: Ample room for text overlay
• Format: JPG (photographic) or PNG (with graphics)

Prompt Template:

[Aspect ratio] hero banner for [industry], [subject] in [setting], 
[lighting condition], ample negative space on [side] for text overlay, 
[style descriptor], [color palette from brand], professional commercial 
photography quality, shallow depth of field

3. Feature Icons

Specifications:

• Size: 48-128px (larger than UI icons)
• Style: Illustrative, storytelling
• Detail: Medium-high (more than UI icons)
• Metaphor: Universal, immediately recognizable

Prompt Template:

Flat vector illustration representing [concept], [style descriptor], 
[color palette], simple geometric shapes, metaphor showing [visual metaphor], 
clean composition with white background, professional tech aesthetic

4. Backgrounds

Types:

• Solid/Gradient: CSS-first approach
• Textured: Seamless patterns, subtle grain
• Photographic: Abstract, defocused scenes

Specifications:

• Seamless tiling for patterns (power-of-2 dimensions)
• Low contrast for text readability
• Format: JPG for photos, PNG for transparent elements
• Performance: Target <200KB for full-screen

Prompt Template:

[Abstract/textured/gradient] background for website, [color palette], 
[texture type], [subtle/dramatic] visual interest, professional web design 
quality, suitable for text overlay, seamless tileable pattern

5. Product Mockups

Types:

• Device: Phone, laptop, tablet mockups
• Packaging: Boxes, bottles, bags
• Apparel: Clothing, accessories
• Lifestyle: Products in real environments

Specifications:

• Lighting: Consistent direction, natural or studio
• Shadows: Realistic contact shadows
• Reflections: Environmental on glossy surfaces
• Resolution: 2K-4K for detail

Prompt Template:

Product mockup of [product] on [surface], [lighting condition] from [direction], 
[material properties], professional product photography, realistic shadows 
and reflections, commercial quality, shallow depth of field, premium aesthetic

6. Marketing Materials

Social Media Dimensions:

Specifications:

• Text: Within safe zones, hierarchical
• Contrast: WCAG AA compliant (4.5:1)
• Branding: Consistent colors, fonts, logo placement
• Format: JPG for photos, PNG for graphics with text

Multi-Image Fusion for Product Placement:

# Place product in real environment
python3 scripts/generate_assets.py \
  --fusion-mode \
  --product-image product.png \
  --environment-image office.jpg \
  --output marketing_scene.png

Professional Prompting Techniques

Six Essential Prompt Elements

1. Subject: Who/what is the main focus
2. Composition: Camera angle, framing
3. Action: What is happening
4. Setting/Location: Environment context
5. Style: Visual aesthetic
6. Technical Specs: Quality, format, constraints

Quality Markers (Use Instead of "8K/Ultra")

Photography:

• professional studio photography
• cinematic composition
• shallow depth of field
• film grain
• natural lighting

Design:

• flat vector illustration
• geometric precision
• limited color palette
• clean typography
• minimalist design

3D/Rendering:

• physically based rendering (PBR)
• ray-traced reflections
• realistic materials
• studio lighting setup

Style Consistency Techniques

1. Master Style Anchor: Create one reference image that embodies all desired attributes, then use it as primary reference for all subsequent generations.

2. Multi-Reference Workflow (Nano Banana 2):

{
  "referenceImages": [
    "master-style-anchor-uuid",    // Primary style reference
    "color-palette-uuid",          // Color scheme reference
    "lighting-reference-uuid"      // Lighting style reference
  ]
}

3. Prompt Locking: Document successful prompts and reuse core style descriptors across all assets.

Iterative Refinement Workflow

4-Step Process

Step 1: Foundation Generate 3-5 variations at medium quality to establish direction

Step 2: Refinement Add specific constraints to promising direction

Step 3: Detail Polish Make targeted edits with explicit preservation instructions

Step 4: Final Production Generate at high quality with optimized comprehensive prompt

Edit Prompt Template

Change only [specific element] to [new state]. Keep everything else exactly 
the same: [list elements to preserve]. Do not change [specific exclusions].

API Configuration

Requires RUNWARE_API_KEY environment variable:

export RUNWARE_API_KEY="your-runware-api-key"

Background Removal

python3 scripts/generate_assets.py --remove-bg <image-uuid>

Scripts Reference

References

• runware_api.md - Complete Runware API documentation
• prompting_guide.md - Professional prompting techniques
• style_extraction.md - Style analysis methodology
• asset_specifications.md - Detailed asset type specs