fal-image-edit

fal-ai-community/skills · updated Apr 8, 2026

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$npx skills add https://github.com/fal-ai-community/skills --skill fal-image-edit
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summary

AI-powered image editing with style transfer, object removal, background changes, and inpainting.

  • Supports five core operations: style transfer, object removal, background replacement, inpainting with masks, and general instruction-based edits
  • Configurable strength parameter (0.0–1.0) to control edit intensity from subtle to dramatic
  • Includes model discovery via search API to find the best current model for each operation type
  • Requires image URL and editing prompt; optional mask U
skill.md

fal.ai Image Edit

Edit images using AI: style transfer, object removal, background changes, and more.

How It Works

  1. User provides image URL and editing instructions
  2. Script selects appropriate model
  3. Sends request to fal.ai API
  4. Returns edited image URL

Finding Models

To discover the best and latest image editing models, use the search API:

# Search for image editing models
bash /mnt/skills/user/fal-generate/scripts/search-models.sh --category "image-to-image"

# Search for specific editing capabilities
bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "image editing"
bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "inpainting"
bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "object removal"
bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "background removal"

Or use the search_models MCP tool with relevant keywords.

Supported Operations

Operation Description
Style Transfer Apply artistic style to image
Object Removal Remove objects from image
Background Change Change/replace background
Inpainting Fill in masked areas
General Edit Instruction-based edits

Usage

bash /mnt/skills/user/fal-image-edit/scripts/edit-image.sh [options]

Arguments:

  • --image-url - URL of image to edit (required)
  • --prompt - Description of desired edit (required)
  • --operation - Edit operation: style, remove, background, inpaint (default: style)
  • --mask-url - URL of mask image (required for inpainting/removal)
  • --strength - Edit strength 0.0-1.0 (default: 0.75)

Examples:

# Style transfer
bash /mnt/skills/user/fal-image-edit/scripts/edit-image.sh \
  --image-url "https://example.com/photo.jpg" \
  --prompt "Convert to anime style" \
  --operation style

# Remove object
bash /mnt/skills/user/fal-image-edit/scripts/edit-image.sh \
  --image-url "https://example.com/photo.jpg" \
  --prompt "Remove the person on the left" \
  --operation remove

# Change background
bash /mnt/skills/user/fal-image-edit/scripts/edit-image.sh \
  --image-url "https://example.com/portrait.jpg" \
  --prompt "Place in a tropical beach setting" \
  --operation background

# Inpainting with mask
bash /mnt/skills/user/fal-image-edit/scripts/edit-image.sh \
  --image-url "https://example.com/photo.jpg" \
  --mask-url "https://example.com/mask.png" \
  --prompt "Fill with flowers" \
  --operation inpaint

MCP Tool Alternative

Use search_models MCP tool or search-models.sh to find the best current model for each operation (style transfer, object removal, background change, inpainting), then call mcp__fal-ai__generate with the discovered modelId.

Output

Editing image...
Model: fal-ai/flux/dev/image-to-image
Operation: style transfer

Edit complete!

Image URL: https://v3.fal.media/files/abc123/edited.png
Dimensions: 1024x1024

JSON output:

{
  "images": [
    {
      "url": "https://v3.fal.media/files/abc123/edited.png",
      "width": 1024,
      "height": 1024
    }
  ]
}

Present Results to User

Here's your edited image:

![Edited Image](https://v3.fal.media/files/...)

• 1024×1024 | Operation: Style Transfer

Model Selection Tips

  • General Editing: Search for "image editing" models. Good for instruction-based changes.
  • Style Transfer: Search for image-to-image category. Adjust strength: 0.3-0.5 for subtle, 0.7-0.9 for dramatic.
  • Object Removal: Search for "eraser" or "object removal". Some work without masks.
  • Background Change: Search for "background" or "kontext". Look for models that preserve subject identity.
  • Inpainting: Search for "inpainting" or "fill". Requires binary mask (white = edit area).

Mask Tips

For inpainting and some removal tasks:

  • White pixels = areas to edit
  • Black pixels = areas to preserve
  • Use PNG format with transparency or solid colors
  • Feathered edges create smoother transitions

Troubleshooting

Edit Too Subtle

The edit is barely visible.

Increase the strength parameter:
--strength 0.85

Edit Too Dramatic

The edit changed too much of the image.

Decrease the strength parameter:
--strength 0.3

Object Not Removed

The object wasn't fully removed.

Tips:
1. Be more specific in the prompt
2. Try using an explicit mask
3. Use the inpainting model for precise control

Background Artifacts

The new background has artifacts around the subject.

Tips:
1. Use a cleaner source image
2. Try FLUX Kontext which handles edges better
3. Adjust the strength for smoother blending
how to use fal-image-edit

How to use fal-image-edit on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add fal-image-edit
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/fal-ai-community/skills --skill fal-image-edit

The skills CLI fetches fal-image-edit from GitHub repository fal-ai-community/skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/fal-image-edit

Reload or restart Cursor to activate fal-image-edit. Access the skill through slash commands (e.g., /fal-image-edit) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.857 reviews
  • Pratham Ware· Dec 24, 2024

    Keeps context tight: fal-image-edit is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakura Farah· Dec 20, 2024

    I recommend fal-image-edit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Amina Martin· Dec 16, 2024

    fal-image-edit reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Dec 12, 2024

    Useful defaults in fal-image-edit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amina Harris· Dec 12, 2024

    Useful defaults in fal-image-edit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Fatima Srinivasan· Dec 12, 2024

    Registry listing for fal-image-edit matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yuki Reddy· Dec 4, 2024

    fal-image-edit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Amina Huang· Nov 23, 2024

    Registry listing for fal-image-edit matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Nov 15, 2024

    fal-image-edit has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Amina Yang· Nov 7, 2024

    We added fal-image-edit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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