Examples Gallery

Real-world examples of what you can create with Fal MCP Server and Claude.

Image Generation Examples

🎨 Artistic Styles

Photorealistic Portrait

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Generate a photorealistic portrait of a wise elderly person with kind eyes,
natural lighting, high detail, professional photography

Fantasy Landscape

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Create a fantasy landscape with floating islands, waterfalls flowing into clouds,
bioluminescent plants, magical atmosphere, Studio Ghibli style

Cyberpunk Scene

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Generate a cyberpunk street scene at night, neon lights, rain-slicked streets,
holographic advertisements, blade runner aesthetic

🏗️ Architecture & Design

Modern House

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Design a modern minimalist house with large windows, concrete and wood materials,
surrounded by nature, architectural photography, golden hour lighting

Interior Design

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Create an interior design of a cozy reading nook with built-in bookshelves,
warm lighting, comfortable chair, plants, scandinavian style

🎮 Game Assets

Character Design

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Design a fantasy RPG character: elven archer with ornate armor,
detailed costume design, character sheet style, multiple angles

Environment Concept

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Create a game environment concept: ancient temple ruins in a jungle,
overgrown with vines, mysterious atmosphere, concept art style

Video Generation Examples

🎬 Animation from Images

Portrait Animation

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# First generate an image
image_prompt = "Portrait of a person with flowing hair, dramatic lighting"

# Then animate it
video_prompt = {
  "image_url": "generated_image_url",
  "model": "svd",
  "duration": 4
}

Landscape Motion

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# Generate a landscape
image_prompt = "Serene mountain lake at sunset, calm water"

# Add motion
video_prompt = {
  "image_url": "generated_image_url",
  "model": "animatediff",
  "duration": 5
}

Music Generation Examples

🎵 Genre-Specific Music

Ambient Soundtrack

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Generate 60 seconds of ambient electronic music, 
calm and atmospheric, suitable for meditation

Upbeat Pop

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Create 30 seconds of upbeat pop music with catchy melody,
electronic drums, synthesizers, energetic

Classical Inspiration

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Compose 45 seconds of classical-inspired piano music,
emotional and contemplative, minor key

🎮 Game Music

Battle Theme

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Generate epic orchestral battle music, 
intense drums, brass section, 90 seconds

Exploration Theme

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Create peaceful exploration music for an RPG,
acoustic instruments, celtic influence, 2 minutes

Complete Workflows

Workflow 1: Social Media Content

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User: Create a social media post about AI technology

Claude: I'll help you create engaging social media content about AI technology.

Step 1: Generate the main image
[Generates futuristic AI visualization]

Step 2: Create variations for carousel
[Generates 3 additional related images]

Result: Complete social media post with visuals ready!

Workflow 2: Story Illustration

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User: Illustrate a short story about a magical forest

Claude: I'll create illustrations for your magical forest story.

Scene 1: The Entrance
[Generates mystical forest entrance]

Scene 2: The Discovery
[Generates glowing magical artifact in forest]

Scene 3: The Guardian
[Generates forest spirit character]

Video: Bringing it to life
[Animates the key scene]

Workflow 3: Product Visualization

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User: Create product shots for a new smartwatch

Claude: I'll generate product visualizations for your smartwatch.

Hero Shot:
[Generates sleek smartwatch on gradient background]

Lifestyle Shot:
[Generates smartwatch on wrist in active scenario]

Feature Highlights:
[Generates close-up of watch face with UI]

Advanced Techniques

Prompt Engineering Tips

Be Specific

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❌ "Generate a car"
✅ "Generate a vintage 1960s muscle car, cherry red, 
   parked in front of a retro diner, golden hour lighting"

Use Style References

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"In the style of Studio Ghibli"
"Artstation trending"
"Unreal Engine render"
"Oil painting technique"

Negative Prompts

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prompt = "Beautiful landscape"
negative_prompt = "people, text, watermark, low quality, blurry"

Model Selection Strategy

Use Case Recommended Model Why
Quick iteration flux_schnell 2-3 second generation
Final quality flux_dev Better details
Artistic style sdxl More artistic control
Video from image svd Most stable
Long music musicgen_large Better quality

Code Integration Examples

Python Script

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import os
import subprocess

# Set API key
os.environ['FAL_KEY'] = 'your-key'

# Run server
subprocess.run(['fal-mcp'])

Node.js Integration

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const { spawn } = require('child_process');

// Start MCP server
const mcp = spawn('fal-mcp', {
  env: {
    ...process.env,
    FAL_KEY: 'your-key'
  }
});

Docker Compose

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version: '3.8'
services:
  fal-mcp:
    image: ghcr.io/raveenb/fal-mcp-server
    environment:
      - FAL_KEY=${FAL_KEY}
    ports:
      - "8080:8080"

Batch Processing Examples

Multiple Variations

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# Generate 4 variations of the same concept
for i in range(4):
    generate_image(
        prompt="Futuristic city skyline",
        seed=i * 1000  # Different seeds
    )

Style Exploration

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styles = ["photorealistic", "anime", "oil painting", "watercolor"]
for style in styles:
    generate_image(
        prompt=f"Mountain landscape in {style} style"
    )

Performance Optimization

Fast Prototyping

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# Use schnell for quick iterations
model="flux_schnell"
image_size="square"  # Smaller = faster
num_images=1

Production Quality

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# Use dev/pro for final output
model="flux_dev"
image_size="landscape_16_9"
num_images=4  # Generate options

Troubleshooting Common Issues

Issue: Blurry Images

Solution: Add quality modifiers

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"highly detailed, sharp focus, 4k, high resolution"

Issue: Wrong Style

Solution: Be more specific

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"photorealistic" vs "cartoon" vs "oil painting"

Issue: Unwanted Elements

Solution: Use negative prompts

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negative_prompt="text, watermark, signature, border"

Community Showcases

User Creations

“Used Fal MCP to generate all artwork for my indie game!” - @gamedev

“Created an entire comic book with consistent characters” - @artist

“Generated background music for my YouTube channel” - @creator

Share Your Creations

Have you created something amazing with Fal MCP Server? Share it with the community:

← API Docs Troubleshooting →