image-generation

# Image Generation Generate and edit images using AI models. The script automatically picks a backend based on which API keys are configured — **you don't need to specify a model unless the user explicitly names one**. Never guess or invent a `model`: when the user doesn't name one, omit `model` entirely so the configured default/provider is used. Supported models (passed via `model` only when the user asks for a specific one): - **OpenAI** — `gpt-image-2.5-flare` (recommended default: best quality/latency trade-off), `gpt-image-2.5-sunburst` (highest editing precision), `gpt-image-2`, `gpt-image-1` - **Gemini Nano Banana** — `nano-banana-2`, `nano-banana-pro`, `nano-banana` - **Seedream (Volcengine Ark)** — `seedream-5.0-lite`, `seedream-4.5` - **Qwen (DashScope)** — `qwen-image-2.0`, `qwen-image-2.0-pro` - **MiniMax** — `image-01` ## Usage Run `scripts/generate.py` with a JSON argument. Use the absolute `<base_dir>` path — **do NOT `cd` into the skill directory**, since it is a builtin skill and gets reset on restart (anything written there is lost). ```bash python <base_dir>/scripts/generate.py '<json_args>' ``` Images are saved to the workspace (or the open project dir) under `images/`, so they persist and stay reachable to the client. **Set bash timeout to at least 600 seconds**, as image generation can take 30–200s per provider, and the script may try multiple providers sequentially. Call it synchronously (do not run it in the background) and wait for its output...