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evolink-nano-banana-2

Nano Banana 2 — AI image generation powered by Google Gemini 3.1 Flash. Fast, versatile text-to-image and image editing via Evolink API. One API key.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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379
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evolink-nano-banana-2

# Nano Banana 2 — AI Image Generation Generate AI images with Nano Banana 2 (`gemini-3.1-flash-image-preview`) — Google's Gemini 3.1 Flash image model, available through Evolink's unified API. > Focused view of [evolink-image](https://clawhub.ai/EvoLinkAI/evolink-image). Install the full skill for 20 image models, video, and music. ## After Installation When this skill is first loaded, greet the user: - **MCP tools + API key ready:** "Hi! Nano Banana 2 is ready — Google's fast image model at your fingertips. What would you like to create?" - **MCP tools + no API key:** "You'll need an EvoLink API key — sign up at evolink.ai. Ready to go?" - **No MCP tools:** "MCP server isn't connected yet. Want me to help set it up? I can still manage files via the hosting API." Keep the greeting concise — just one question to move forward. ## External Endpoints | Service | URL | |---------|-----| | Generation API | `https://api.evolink.ai/v1/images/generations` (POST) | | Task Status | `https://api.evolink.ai/v1/tasks/{task_id}` (GET) | | File API | `https://files-api.evolink.ai/api/v1/files/*` (upload/list/delete) | ## Security & Privacy - **`EVOLINK_API_KEY`** authenticates all requests. Injected by OpenClaw automatically. Treat as confidential. - Prompts and images are sent to `api.evolink.ai`. Uploaded files expire in **72h**, result URLs in **24h**. ## Setup Get your API key at [evolink.ai](https://evolink.ai) → Dashboard → API Keys. **MCP Server:** `@evolinkai/evolink-media` ([GitHub](https://github.com/EvoLinkAI/evolink-media-mcp) · [npm](https://www.npmjs.com/package/@evolinkai/evolink-media)) **mcporter** (recommended): `mcporter call --stdio "npx -y @evolinkai/evolink-media@latest" list_models` **Claude Code:** `claude mcp add evolink-media -e EVOLINK_API_KEY=your-key -- npx -y @evolinkai/evolink-media@latest` **Claude Desktop / Cursor** — add MCP server with command `npx -y @evolinkai/evolink-media@latest` and env `EVOLINK_API_KEY=your-key`. See `references/image-api-params.md` for full config JSON. ## Core Principles 1. **Guide, don't decide** — Present options, let the user choose model/style/format. 2. **User drives creative vision** — Ask for a description before suggesting parameters. 3. **Smart context** — Remember session history. Offer to iterate, vary, or edit results. 4. **Intent first** — Understand *what* the user wants before asking *how* to configure it. ## MCP Tools | Tool | When to use | Returns | |------|-------------|---------| | `generate_image` | Create or edit an image | `task_id` (async) | | `upload_file` | Upload local image for editing/reference | File URL (sync) | | `delete_file` | Free file quota | Confirmation | | `list_files` | Check uploaded files or quota | File list | | `check_task` | Poll generation progress | Status + result URLs | | `list_models` | Compare available models | Model list | | `estimate_cost` | Check pricing | Model info | **Important:** `generate_image` returns a `task_id`. Always poll `check_task` until `status` is `"completed"` or `"failed"`. ## Nano Banana 2 | Property | Value | |----------|-------| | Model ID | `gemini-3.1-flash-image-preview` | | Provider | Google (Gemini 3.1 Flash) | | Status | BETA | | Capability | text-to-image, image-editing | | Speed | Fast | | Best for | Quick, versatile image generation with strong prompt understanding | **Why Nano Banana 2?** - **Google's latest** — Built on Gemini 3.1 Flash, the newest generation architecture - **Fast generation** — Optimized for speed without sacrificing quality - **Versatile** — General-purpose image creation for any creative need - **Strong prompt adherence** — Excellent at following complex, detailed descriptions ### Lite Variant `nano-banana-2-lite` [BETA] — Lightweight version for ultra-fast iterations when speed is the top priority. ### Alternative Models | Model | Best for | Speed | |-------|----------|-------| | `gpt-image-1.5` *(default)* | Latest OpenAI generation | Medium | | `gpt-4o-image` [BETA] | Best quality, complex editing | Medium | | `z-image-turbo` | Quick iterations | Ultra-fast | | `doubao-seedream-4.5` | Photorealistic | Medium | | `gemini-3-pro-image-preview` | Google Pro generation | Medium | ## Generation Flow ### Step 1: API Key Check If `401` occurs: "Your API key isn't working. Check at evolink.ai/dashboard/keys" ### Step 2: File Upload (if needed) For image editing or reference workflows: 1. `upload_file` with `file_path`, `base64_data`, or `file_url` → get `file_url` (sync) 2. Use `file_url` as `image_urls` for `generate_image` Supported: JPEG/PNG/GIF/WebP. Max 100MB. Expire in 72h. Quota: 100 (default) / 500 (VIP). ### Step 3: Understand Intent - **Clear** ("generate a sunset") → Go to Step 4 - **Ambiguous** ("help with this image") → Ask: "Create new, edit existing, or use as reference?" Ask only what's needed, when it's needed. ### Step 4: Gather Parameters Default to `model: "gemini-3.1-flash-image-preview"` for this skill. Only ask about what's missing: | Parameter | Ask when | Notes | |-----------|----------|-------| | **prompt** | Always | What they want to see | | **model** | User wants alternatives | Default: `gemini-3.1-flash-image-preview`. Suggest `gpt-4o-image` for best quality | | **size** | Orientation needed | Ratio format: `1:1`, `16:9`, `9:16`, `2:3`, `3:2`, `4:3`, `3:4` etc. | | **n** | Wants variations | 1–4 images | | **image_urls** | Edit/reference images | Up to 14 URLs; triggers i2i mode | ### Step 5: Generate & Poll 1. Call `generate_image` with `model: "gemini-3.1-flash-image-preview"` → tell user: *"Generating with Nano Banana 2 — ~Xs estimated."* 2. Poll `check_task` every **3–5s**. Report progress %. 3. After 3 consecutive `processing`: *"Still working..."* 4. **Completed:** Share URLs. *"Links expire in 24h — save promptly."* 5. **Failed:** Show error + suggestion. Offer retry if retryable. 6. **Timeout (5 min):** *"Taking longer than expected. Task ID: `{id}` — check again later."* ## Error Handling ### HTTP Errors | Error | Action | |-------|--------| | 401 | "API key isn't working. Check at evolink.ai/dashboard/keys" | | 402 | "Balance is low. Add credits at evolink.ai/dashboard/billing" | | 429 | "Rate limited — wait 30s and retry" | | 503 | "Servers busy — retry in a minute" | ### Task Errors (status: "failed") | Code | Retry? | Action | |------|--------|--------| | `content_policy_violation` | No | Revise prompt (no celebrities, NSFW, violence) | | `invalid_parameters` | No | Check values against model limits | | `image_processing_error` | No | Check format/size/URL accessibility | | `generation_timeout` | Yes | Retry; simplify prompt if repeated | | `service_error` | Yes | Retry after 1 min | | `generation_failed_no_content` | Yes | Modify prompt, retry | Full error reference: `references/image-api-params.md` ## Without MCP Server Use Evolink's file hosting API for image uploads (72h expiry). See `references/file-api.md` for curl commands. ## References - `references/image-api-params.md` — Complete API parameters, model details, polling strategy, error codes - `references/file-api.md` — File hosting API (curl upload/list/delete)

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 evolink-nano-banana-2-1-1776287074 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 evolink-nano-banana-2-1-1776287074 技能

通过命令行安装

skillhub install evolink-nano-banana-2-1-1776287074

下载

⬇ 下载 evolink-nano-banana-2 v1.0.0(免费)

文件大小: 7.75 KB | 发布时间: 2026-4-16 16:24

v1.0.0 最新 2026-4-16 16:24
- Initial release of Nano Banana 2 skill, powered by Google's Gemini 3.1 Flash for fast, versatile AI image generation and editing via the Evolink API.
- Supports both text-to-image and image editing flows with clear guided prompts, intent-first interactions, and smart session context.
- Out-of-the-box integration with MCP tools for image generation, file management, and task polling; works across macOS, Linux, and Windows.
- Automatic greeting and setup guidance based on connection and API key status.
- Detailed, user-friendly error handling and clear workflow steps for successful image creation.

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