Fal Text-to-Image
Generate, remix, and edit images using fal.ai's AI models. Supports text-to-image generation, image-to-image remixing, and targeted inpainting/editing.
Generate, remix, and edit images using fal.ai's AI models. Supports text-to-image generation, image-to-image remixing, and targeted inpainting/editing.
Real data. Real impact.
Emerging
Developers
Per week
Open source
Skills give you superpowers. Install in 30 seconds.
Professional AI-powered image workflows using fal.ai's state-of-the-art models including FLUX, Recraft V3, Imagen4, and more.
Generate images from scratch using text prompts
Transform existing images while preserving composition
Targeted inpainting and masked editing
Trigger when user:
# 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
# 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"
# 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"
The script intelligently selects the best model based on task context:
fal-ai/flux-pro/v1.1-ultrafal-ai/recraft/v3/text-to-imagefal-ai/flux-2fal-ai/flux-2/lora-i flagfal-ai/flux-2/lora/editfal-ai/imagen4/previewfal-ai/stable-diffusion-v35-largefal-ai/ideogram/v2fal-ai/bria/text-to-image/3.2uv run python fal-text-to-image [OPTIONS] PROMPTArguments: 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
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
uv run python fal-text-to-image \ -m flux-pro/v1.1-ultra \ "Professional headshot of a business executive in modern office" \ -s 2048x2048
uv run python fal-text-to-image \ -m recraft/v3/text-to-image \ "Modern tech startup logo with text 'AI Labs' in minimalist style"
uv run python fal-text-to-image \ -m flux-2/lora/edit \ -i artistic_style.jpg \ "Portrait of a woman in a garden"
uv run python fal-text-to-image \ -m flux-2 \ --seed 42 \ "Futuristic cityscape with flying cars"
The script automatically selects the best model when
-m is not specified:
-i provided: Uses flux-2/lora/edit for style transferrecraft/v3/text-to-imageflux-pro/v1.1-ultrarecraft/v3/text-to-imageflux-2 for general purposeGenerated images are saved with metadata:
| Problem | Solution |
|---|---|
| Export FAL_KEY environment variable or create .env file |
| Check model name against supported list |
| Ensure image path/URL is accessible |
| Some models take longer; wait or try faster model |
| Check fal.ai dashboard for usage limits |
flux-2 or stable-diffusion-v35-large for general useflux-pro/v1.1-ultra only when high-res is requiredAvailable models for image-to-image remixing:
fal-ai/flux/dev/image-to-imagefal-ai/flux-profal-ai/flux-pro/v1.1fal-ai/recraft/v3/text-to-imagefal-ai/stable-diffusion-v35-largeuv run python fal-image-remix [OPTIONS] INPUT_IMAGE PROMPTArguments: 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
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 |
# Subtle artistic style (low strength) uv run python fal-image-remix photo.jpg "Oil painting style" --strength 0.4Balanced 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"
Available models for targeted editing and inpainting:
fal-ai/flux-2/reduxfal-ai/flux-2/fillfal-ai/flux-pro-v11/fillfal-ai/stable-diffusion-v35-large/inpaintingfal-ai/ideogram/v2/editfal-ai/recraft/v3/svguv run python fal-image-edit [OPTIONS] INPUT_IMAGE [MASK_IMAGE] PROMPTArguments: 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
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 |
Mask images define edit regions:
Create masks using:
--mask-prompt flag)# 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"
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)
Managed via
uv:
fal-client: Official fal.ai Python SDKpython-dotenv: Environment variable managementpillow: Image handling and EXIF metadataclick: CLI interface--seed for consistent results during iteration# 1. Generate base image uv run python fal-text-to-image -m flux-2 "Modern office space, minimalist" -o base.png2. 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"
# Generate with seed for reproducibility uv run python fal-text-to-image "Mountain landscape" --seed 42 -o v1.pngRemix 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
# 1. Remove unwanted object uv run python fal-image-edit photo.jpg object_mask.png "Remove" --strength 1.0 -o removed.png2. Fill with new content
uv run python fal-image-edit removed.png region_mask.png "Beautiful flowers" --strength 0.9
| Problem | Solution | Tool |
|---|---|---|
| Export FAL_KEY or create .env file | All |
| Check model name in documentation | All |
| Check file exists and is readable | Remix, Edit |
| Verify mask is grayscale PNG (white=edit) | Edit |
| Reduce --strength value | Remix, Edit |
| Increase --strength value | Remix, Edit |
| Create manual mask in image editor | Edit |
| Try faster model or wait longer | All |
| Check fal.ai dashboard usage limits | All |
No automatic installation available. Please visit the source repository for installation instructions.
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