发现优质的 AI Agent 技能

This document defines the environment variables, configuration defaults, and validation policy for the `image-generation` skill.

This document defines the Command Line Interface (CLI) contract and exit-code policy for the image generation skill.

> Generate images from text prompts. Pay per request with USDC on Solana via [x402](https://x402.org). No API keys, no accounts.

> Methodology by **GEOly AI** (geoly.ai) — every image and video is a citation opportunity AI can either read or miss.

Generate AI content (images, video, audio, text) using HuggingFace Spaces and Inference Providers directly via `gradio_client` or MCP tools.

Define every visual attribute as structured JSON instead of hoping natural language gets it right. VGL (Visual Generation Language) gives you explicit, deterministic control over objects, lighting, camera settings, composition, and style for Bria's FIBO models.

Pillow-based utilities for deterministic pixel-level image operations. Use for resize, crop, composite, format conversion, watermarks, and other standard image processing tasks.

Generate and precisely control visual assets using Bria's commercially-safe AI models (FIBO, RMBG-2.0, GenFill, and more). Unlike black-box generators, Bria gives you fine-grained control: edit by text instruction, mask specific regions, add/replace/remove individual objects, change lighting or season independently, and chain operations in pipelines.

Generate, edit, and create variations of images using OpenAI's latest models.

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Remove visible Gemini AI watermarks (star/sparkle logo) from generated images using mathematically accurate reverse alpha blending.

Generate images using Google's **Nano Banana** (Gemini 2.5 Flash Image) models via **OpenRouter API**.