---

name: fal-text-to-image description: Generate, remix, and edit images using fal.ai's AI models. Supports text-to-image generation, image-to-image remixing, and targeted inpainting/editing.

---

fal.ai Image Generation & Editing Skill

Professional AI-powered image workflows using fal.ai's state-of-the-art models including FLUX, Recraft V3, Imagen4, and more.

Three Modes of Operation

1. Text-to-Image (fal-text-to-image)

Generate images from scratch using text prompts

2. Image Remix (fal-image-remix)

Transform existing images while preserving composition

本技能来自小葱技能站7w4.net。

3. Image Edit (fal-image-edit)

Targeted inpainting and masked editing

When to Use This Skill

Trigger when user: - Requests image generation from text descriptions - Wants to transform/remix existing images with AI - Needs to edit specific regions of images (inpainting) - Wants to create images with specific styles (vector, realistic, typography) - Needs high-resolution professional images (up to 2K) - Wants to use a reference image for style transfer - Mentions specific models like FLUX, Recraft, or Imagen - Asks for logo, poster, or brand-style image generation - Needs object removal or targeted modifications

Quick Start

Text-to-Image: Generate from Scratch

# Basic generation
uv run python fal-text-to-image "A cyberpunk city at sunset with neon lights"

# With specific model
uv run python fal-text-to-image -m flux-pro/v1.1-ultra "Professional headshot"

# With style reference
uv run python fal-text-to-image -i reference.jpg "Mountain landscape" -m flux-2/lora/edit

Image Remix: Transform Existing Images

# Transform style while preserving composition
uv run python fal-image-remix input.jpg "Transform into oil painting"

# With strength control (0.0=original, 1.0=full transformation)
uv run python fal-image-remix photo.jpg "Anime style character" --strength 0.6

# Premium quality remix
uv run python fal-image-remix -m flux-1.1-pro image.jpg "Professional portrait"

Image Edit: Targeted Modifications

# Edit with mask image (white=edit area, black=preserve)
uv run python fal-image-edit input.jpg mask.png "Replace with flowers"

# Auto-generate mask from text
uv run python fal-image-edit input.jpg --mask-prompt "sky" "Make it sunset"

# Remove objects
uv run python fal-image-edit photo.jpg mask.png "Remove object" --strength 1.0

# General editing (no mask)
uv run python fal-image-edit photo.jpg "Enhance lighting and colors"

Model Selection Guide

The script intelligently selects the best model based on task context:

flux-pro/v1.1-ultra (Default for High-Res)

• Best for: Professional photography, high-resolution outputs (up to 2K)
• Strengths: Photo realism, professional quality
• Use when: User needs publication-ready images
• Endpoint: fal-ai/flux-pro/v1.1-ultra

recraft/v3/text-to-image (SOTA Quality)

• Best for: Typography, vector art, brand-style images, long text
• Strengths: Industry-leading benchmark scores, precise text rendering
• Use when: Creating logos, posters, or text-heavy designs
• Endpoint: fal-ai/recraft/v3/text-to-image

flux-2 (Best Balance)

• Best for: General-purpose image generation
• Strengths: Enhanced realism, crisp text, native editing
• Use when: Standard image generation needs
• Endpoint: fal-ai/flux-2

flux-2/lora (Custom Styles)

• Best for: Domain-specific styles, fine-tuned variations
• Strengths: Custom style adaptation
• Use when: User wants specific artistic styles
• Endpoint: fal-ai/flux-2/lora

flux-2/lora/edit (Style Transfer)

• Best for: Image-to-image editing with style references
• Strengths: Specialized style transfer
• Use when: User provides reference image with -i flag
• Endpoint: fal-ai/flux-2/lora/edit

imagen4/preview (Google Quality)

• Best for: High-quality general images
• Strengths: Google's highest quality model
• Use when: User specifically requests Imagen or Google models
• Endpoint: fal-ai/imagen4/preview

stable-diffusion-v35-large (Typography & Style)

• Best for: Complex prompts, typography, style control
• Strengths: Advanced prompt understanding, resource efficiency
• Use when: Complex multi-element compositions
• Endpoint: fal-ai/stable-diffusion-v35-large

ideogram/v2 (Typography Specialist)

• Best for: Posters, logos, text-heavy designs
• Strengths: Exceptional typography, realistic outputs
• Use when: Text accuracy is critical
• Endpoint: fal-ai/ideogram/v2

bria/text-to-image/3.2 (Commercial Safe)

• Best for: Commercial projects requiring licensed training data
• Strengths: Safe for commercial use, excellent text rendering
• Use when: Legal/licensing concerns matter
• Endpoint: fal-ai/bria/text-to-image/3.2

Command-Line Interface

uv run python fal-text-to-image [OPTIONS] PROMPT

Arguments:
  PROMPT                    Text description of the image to generate

Options:
  -m, --model TEXT         Model to use (see model list above)
  -i, --image TEXT         Path or URL to reference image for style transfer
  -o, --output TEXT        Output filename (default: generated_image.png)
  -s, --size TEXT          Image size (e.g., "1024x1024", "landscape_16_9")
  --seed INTEGER           Random seed for reproducibility
  --steps INTEGER          Number of inference steps (model-dependent)
  --guidance FLOAT         Guidance scale (higher = more prompt adherence)
  --help                   Show this message and exit

Authentication Setup

Before first use, set your fal.ai API key:

export FAL_KEY="your-api-key-here"

Or create a .env file in the skill directory:

FAL_KEY=your-api-key-here

Get your API key from: https://fal.ai/dashboard/keys

Advanced Examples

High-Resolution Professional Photo

uv run python fal-text-to-image \
  -m flux-pro/v1.1-ultra \
  "Professional headshot of a business executive in modern office" \
  -s 2048x2048

Logo/Typography Design

uv run python fal-text-to-image \
  -m recraft/v3/text-to-image \
  "Modern tech startup logo with text 'AI Labs' in minimalist style"

Style Transfer from Reference

uv run python fal-text-to-image \
  -m flux-2/lora/edit \
  -i artistic_style.jpg \
  "Portrait of a woman in a garden"

Reproducible Generation

uv run python fal-text-to-image \
  -m flux-2 \
  --seed 42 \
  "Futuristic cityscape with flying cars"

Model Selection Logic

The script automatically selects the best model when -m is not specified:

1. If -i provided: Uses flux-2/lora/edit for style transfer
2. If prompt contains typography keywords (logo, text, poster, sign): Uses recraft/v3/text-to-image
3. If prompt suggests high-res needs (professional, portrait, headshot): Uses flux-pro/v1.1-ultra
4. If prompt mentions vector/brand: Uses recraft/v3/text-to-image
5. Default: Uses flux-2 for general purpose

Output Format

Generated images are saved with metadata: - Filename includes timestamp and model name - EXIF data stores prompt, model, and parameters - Console displays generation time and cost estimate

Troubleshooting

Problem	Solution
FAL_KEY not set	Export FAL_KEY environment variable or create .env file
Model not found	Check model name against supported list
Image reference fails	Ensure image path/URL is accessible
Generation timeout	Some models take longer; wait or try faster model
Rate limit error	Check fal.ai dashboard for usage limits

Cost Optimization

• Free tier: FLUX.2 offers 100 free requests (expires Dec 25, 2025)
• Pay per use: FLUX Pro charges per megapixel
• Budget option: Use flux-2 or stable-diffusion-v35-large for general use
• Premium: Use flux-pro/v1.1-ultra only when high-res is required

Image Remix: Model Selection Guide

Available models for image-to-image remixing:

flux-2/dev (Default, Free)

• Best for: General remixing, style transfer, fast iteration
• Strengths: Balanced quality/speed, 100 free requests
• Use when: Standard remixing needs
• Endpoint: fal-ai/flux/dev/image-to-image

flux-pro (Premium Quality)

• Best for: Professional remixing, high-quality outputs
• Strengths: Superior quality, realistic transformations
• Use when: Professional or publication-ready remixes
• Endpoint: fal-ai/flux-pro

flux-1.1-pro (Ultra Premium)

• Best for: Highest quality remixing with maximum detail
• Strengths: Ultra-high quality, exceptional detail preservation
• Use when: Premium projects requiring best possible output
• Endpoint: fal-ai/flux-pro/v1.1

recraft/v3 (Vector/Illustration)

• Best for: Vector style, brand imagery, illustration remixing
• Strengths: Clean vector outputs, brand-style transformations
• Use when: Converting to illustration or vector style
• Endpoint: fal-ai/recraft/v3/text-to-image

stable-diffusion-v35 (Artistic)

• Best for: Artistic styles, painting effects, creative remixing
• Strengths: Strong artistic style application
• Use when: Artistic or stylized transformations
• Endpoint: fal-ai/stable-diffusion-v35-large

Image Remix: Command-Line Interface

uv run python fal-image-remix [OPTIONS] INPUT_IMAGE PROMPT

Arguments:
  INPUT_IMAGE               Path or URL to source image
  PROMPT                    How to transform the image

Options:
  -m, --model TEXT         Model to use (auto-selected if not specified)
  -o, --output TEXT        Output filename (default: remixed_TIMESTAMP.png)
  -s, --strength FLOAT     Transformation strength 0.0-1.0 (default: 0.75)
                           0.0 = preserve original, 1.0 = full transformation
  --guidance FLOAT         Guidance scale (default: 7.5)
  --seed INTEGER           Random seed for reproducibility
  --steps INTEGER          Number of inference steps
  --help                   Show help

Remix Strength Guide

The --strength parameter controls transformation intensity:

Strength	Effect	Use Case
0.3-0.5	Subtle changes	Minor color adjustments, lighting tweaks
0.5-0.7	Moderate changes	Style hints while preserving details
0.7-0.85	Strong changes	Clear style transfer, significant transformation
0.85-1.0	Maximum changes	Complete style overhaul, dramatic transformation

Remix Examples

# Subtle artistic style (low strength)
uv run python fal-image-remix photo.jpg "Oil painting style" --strength 0.4

# Balanced transformation (default)
uv run python fal-image-remix input.jpg "Cyberpunk neon aesthetic"

# Strong transformation (high strength)
uv run python fal-image-remix portrait.jpg "Anime character" --strength 0.9

# Vector conversion
uv run python fal-image-remix -m recraft/v3 logo.png "Clean vector illustration"

# Premium quality remix
uv run python fal-image-remix -m flux-1.1-pro photo.jpg "Professional studio portrait"

Image Edit: Model Selection Guide

Available models for targeted editing and inpainting:

flux-2/redux (General Editing)

• Best for: General image editing without masks
• Strengths: Fast, balanced, good for overall adjustments
• Use when: No specific region targeting needed
• Endpoint: fal-ai/flux-2/redux

flux-2/fill (Inpainting, Default)

• Best for: Masked region editing, object removal, filling
• Strengths: Seamless inpainting, natural blending
• Use when: Editing specific masked regions
• Endpoint: fal-ai/flux-2/fill

flux-pro-v11/fill (Premium Inpainting)

• Best for: Professional inpainting with highest quality
• Strengths: Superior quality, professional results
• Use when: Premium quality inpainting required
• Endpoint: fal-ai/flux-pro-v11/fill

stable-diffusion-v35/inpainting (Artistic Inpainting)

• Best for: Artistic edits, creative inpainting
• Strengths: Strong artistic control, detailed generation
• Use when: Artistic or stylized edits
• Endpoint: fal-ai/stable-diffusion-v35-large/inpainting

ideogram/v2/edit (Realistic Editing)

• Best for: Realistic modifications, precise edits
• Strengths: High realism, precise control
• Use when: Realistic edits required
• Endpoint: fal-ai/ideogram/v2/edit

recraft/v3/svg (Vector Editing)

• Best for: Vector style edits, clean illustrations
• Strengths: Clean vector outputs, illustration style
• Use when: Vector or illustration edits
• Endpoint: fal-ai/recraft/v3/svg

Image Edit: Command-Line Interface

uv run python fal-image-edit [OPTIONS] INPUT_IMAGE [MASK_IMAGE] PROMPT

Arguments:
  INPUT_IMAGE               Path or URL to source image
  MASK_IMAGE                Path or URL to mask (white=edit, black=preserve) [optional]
  PROMPT                    How to edit the masked region

Options:
  -m, --model TEXT         Model to use (auto-selected if not specified)
  -o, --output TEXT        Output filename (default: edited_TIMESTAMP.png)
  --mask-prompt TEXT       Generate mask from text (no mask image needed)
  -s, --strength FLOAT     Edit strength 0.0-1.0 (default: 0.95)
  --guidance FLOAT         Guidance scale (default: 7.5)
  --seed INTEGER           Random seed for reproducibility
  --steps INTEGER          Number of inference steps
  --help                   Show help

Edit Strength Guide

The --strength parameter controls edit intensity:

Strength	Effect	Use Case
0.5-0.7	Subtle edits	Minor touch-ups, color adjustments
0.7-0.9	Moderate edits	Clear modifications while blending naturally
0.9-1.0	Strong edits	Complete replacement, object removal

Creating Mask Images

Mask images define edit regions: - White (255): Areas to edit/modify - Black (0): Areas to preserve unchanged - Gray: Partial blending (proportional to brightness)

Create masks using: - Image editors (GIMP, Photoshop, Krita) - Paint tools (select and fill with white/black) - Text-based prompts (--mask-prompt flag)

Edit Examples

# Edit with mask image
uv run python fal-image-edit photo.jpg mask.png "Replace with beautiful garden"

# Auto-generate mask from text
uv run python fal-image-edit landscape.jpg --mask-prompt "sky" "Make it sunset with clouds"

# Remove objects
uv run python fal-image-edit photo.jpg object_mask.png "Remove completely" --strength 1.0

# Seamless object insertion
uv run python fal-image-edit room.jpg region_mask.png "Add modern sofa" --strength 0.85

# General editing (no mask)
uv run python fal-image-edit -m flux-2/redux photo.jpg "Enhance lighting and saturation"

# Premium quality inpainting
uv run python fal-image-edit -m flux-pro-v11/fill image.jpg mask.png "Professional portrait background"

# Artistic modification
uv run python fal-image-edit -m stable-diffusion-v35/inpainting photo.jpg mask.png "Van Gogh style"

File Structure

fal-text-to-image/
├── SKILL.md                    # This file
├── README.md                   # Quick reference
├── pyproject.toml              # Dependencies (uv)
├── fal-text-to-image           # Text-to-image generation script
├── fal-image-remix             # Image-to-image remixing script
├── fal-image-edit              # Image editing/inpainting script
├── references/
│   └── model-comparison.md     # Detailed model benchmarks
└── outputs/                    # Generated images (created on first run)

Dependencies

Managed via uv: - fal-client: Official fal.ai Python SDK - python-dotenv: Environment variable management - pillow: Image handling and EXIF metadata - click: CLI interface

Best Practices

General

1. Model Selection: Let scripts auto-select unless you have specific needs
2. Prompt Engineering: Be specific and descriptive for better outputs
3. Cost Awareness: Monitor usage on fal.ai dashboard
4. Reproducibility: Use --seed for consistent results during iteration

Text-to-Image

1. Reference Images: Use high-quality references for best style transfer results
2. Size Selection: Match aspect ratio to intended use (square, landscape, portrait)
3. Model Choice: Use recraft/v3 for typography, flux-pro for professional photography

Image Remix

1. Strength Tuning: Start with default (0.75), adjust based on desired transformation
2. Source Quality: Higher quality source images produce better remixes
3. Iteration: Use --seed to iterate on same generation with different prompts
4. Balance: Lower strength preserves more detail, higher creates more dramatic changes

Image Edit

1. Mask Quality: Clean, well-defined masks produce better results
2. Mask Creation: Use image editors for precise control, --mask-prompt for quick tests
3. Blending: Use gray tones in masks for smooth transitions
4. Edit Strength: Use 0.95+ for object removal, 0.7-0.9 for modifications
5. Test First: Try --mask-prompt before creating detailed masks
6. Multiple Edits: Edit in stages rather than all at once for complex modifications

Resources

• fal.ai Documentation: https://docs.fal.ai/
• Model Playground: https://fal.ai/explore/search
• API Keys: https://fal.ai/dashboard/keys
• Pricing: https://fal.ai/pricing

Workflow Examples

Complete Image Creation Pipeline

# 1. Generate base image
uv run python fal-text-to-image -m flux-2 "Modern office space, minimalist" -o base.png

# 2. Remix to different style
uv run python fal-image-remix base.png "Cyberpunk aesthetic with neon" -o styled.png

# 3. Edit specific region
uv run python fal-image-edit styled.png --mask-prompt "desk" "Add holographic display"

Iterative Refinement

# Generate with seed for reproducibility
uv run python fal-text-to-image "Mountain landscape" --seed 42 -o v1.png

# Remix with same seed, different style
uv run python fal-image-remix v1.png "Oil painting style" --seed 42 -o v2.png

# Fine-tune with editing
uv run python fal-image-edit v2.png --mask-prompt "sky" "Golden hour lighting" --seed 42

Object Removal and Replacement

# 1. Remove unwanted object
uv run python fal-image-edit photo.jpg object_mask.png "Remove" --strength 1.0 -o removed.png

# 2. Fill with new content
uv run python fal-image-edit removed.png region_mask.png "Beautiful flowers" --strength 0.9

Troubleshooting

Problem	Solution	Tool
FAL_KEY not set	Export FAL_KEY or create .env file	All
Model not found	Check model name in documentation	All
Image upload fails	Check file exists and is readable	Remix, Edit
Mask not working	Verify mask is grayscale PNG (white=edit)	Edit
Transformation too strong	Reduce --strength value	Remix, Edit
Transformation too weak	Increase --strength value	Remix, Edit
Mask-prompt not precise	Create manual mask in image editor	Edit
Generation timeout	Try faster model or wait longer	All
Rate limit error	Check fal.ai dashboard usage limits	All

Limitations

General

• Requires active fal.ai API key
• Subject to fal.ai rate limits and quotas
• Internet connection required
• Some models have usage costs (check pricing)

Text-to-Image

• Image reference features limited to specific models
• Typography quality varies by model

Image Remix

• Source image quality affects output quality
• Extreme strength values may introduce artifacts
• Some styles work better with specific models

Image Edit

• Mask quality critical for seamless results
• Auto-generated masks (--mask-prompt) less precise than manual masks
• Complex edits may require multiple passes
• Some models don't support all editing features

这个 Skill 的文档质量不错，介绍清晰详细，新手也能快速上手。但它本质上只是一个使用手册，实际使用需要的代码脚本文件并没有包含在包里，所以用户拿到手后无法直接运行使用，只能作为参考资料参考。