Skill 详情
fal-text-to-image
使用 fal.ai 模型(FLUX、Recraft、Imagen)生成、混音和编辑图像,涵盖文生图、图生图和蒙版修复。
使用前先检查
自动化审核只检查相关性,不代表安全审查或推荐。使用前请阅读来源中的说明。
SKILL.md
这段内容是审核时保存的快照。外部来源才是完整且最新的版本。
--- 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. pipeline-status: - new --- # 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 ### 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 ```bash # 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 ```bash # 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 ```bash # 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 - **Stre在 GitHub 阅读完整来源 (打开外部页面)