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{
"version": 1,
"registry": "https://clawhub.ai",
"slug": "antigravity-image-gen",
"installedVersion": "1.0.0",
"installedAt": 1771354397276
}

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---
name: antigravity-image-gen
description: "使用Google Antigravity API生成图像。"
read_when:
- User asks to generate an image
- User wants to create visual content
metadata: {"clawdbot":{"emoji":"🎨","requires":{"bins":["node"],"config":["auth.profiles"]},"description":"Generates images via internal Google API using local OAuth credentials."}}
---
# Antigravity Image Generation
Generate high-quality images using the internal Google Antigravity API (Gemini 3 Pro Image). This skill bypasses the need for browser automation by using the `daily-cloudcode-pa.sandbox` endpoint directly with your OAuth credentials.
## Prerequisites
- **Google Antigravity OAuth Profile**: Must be present in your OpenClaw auth-profiles.json.
- **Node.js**: Available in the environment.
- **Security Note**: This skill reads local OAuth tokens from your profile to authenticate with Google's API. This is expected behavior for internal tool use.
## Usage
### Direct Script Execution
```bash
/home/ubuntu/clawd/skills/antigravity-image-gen/scripts/generate.js \
--prompt "A futuristic city on Mars" \
--output "/tmp/mars.png" \
--aspect-ratio "16:9"
```
### Arguments
- `--prompt` (Required): The description of the image.
- `--output` (Optional): Path to save the image (default: `/tmp/antigravity_<ts>.png`).
- `--aspect-ratio` (Optional): `1:1` (default), `16:9`, `9:16`, `4:3`, `3:4`.
## Output
- The script writes the image to the specified path.
- It prints `MEDIA: <path>` to stdout, which allows Clawdbot to automatically detect and display the image.
## Troubleshooting
- **429 Resource Exhausted**: Quota limit reached. Wait or check your project limits.
- **No image data found**: The model might have refused the prompt (safety) or the API structure changed. Check the "Model message" output.
- **Auth Error**: Ensure you have logged in via `google-antigravity` provider.

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{
"ownerId": "kn79jhh393p6ryrcqfgx3rvw5n802qpe",
"slug": "antigravity-image-gen",
"version": "2.0.0",
"publishedAt": 1771355111026
}

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#!/usr/bin/env node
/**
* Antigravity Image Generator (Native)
* Uses the google-antigravity OAuth token to generate images via the Cloud Code sandbox API.
*
* Usage:
* node generate.js --prompt "..." --output "..." [--aspect-ratio "16:9"]
*/
const fs = require('node:fs');
const https = require('node:https');
const { Buffer } = require('node:buffer');
const path = require('node:path');
// --- Config ---
const ENDPOINT = "https://daily-cloudcode-pa.sandbox.googleapis.com/v1internal:streamGenerateContent?alt=sse";
const PROFILE_PATH = process.env.OPENCLAW_AUTH_PATH || path.join(process.env.HOME || process.env.USERPROFILE, '.openclaw/agents/main/agent/auth-profiles.json');
// Project ID found in auth profile or fallback
const FALLBACK_PROJECT_ID = "junoai-465910";
// --- Args Parsing ---
const args = process.argv.slice(2);
let prompt = "";
let outputFile = "";
let aspectRatio = "1:1";
for (let i = 0; i < args.length; i++) {
if (args[i] === '--prompt' && args[i+1]) {
prompt = args[i+1];
i++;
} else if (args[i] === '--output' && args[i+1]) {
outputFile = args[i+1];
i++;
} else if (args[i] === '--aspect-ratio' && args[i+1]) {
aspectRatio = args[i+1];
i++;
}
}
if (!prompt) {
console.error("Error: --prompt is required");
process.exit(1);
}
if (!outputFile) {
const dir = path.join(process.env.USERPROFILE || process.env.HOME || '/home/ubuntu', 'Pictures', 'Clawd');
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
outputFile = path.join(dir, `antigravity_${Date.now()}.png`);
}
// --- Auth Loading ---
console.log("🔐 Loading Antigravity credentials...");
if (!fs.existsSync(PROFILE_PATH)) {
console.error(`Error: Auth profile not found at ${PROFILE_PATH}`);
process.exit(1);
}
let token = "";
let projectId = FALLBACK_PROJECT_ID;
try {
const profiles = JSON.parse(fs.readFileSync(PROFILE_PATH, 'utf8'));
// Look for google-antigravity profile
const profileKey = Object.keys(profiles.profiles).find(k => k.startsWith("google-antigravity"));
const auth = profiles.profiles[profileKey];
if (!auth || !auth.access) {
console.error("Error: No google-antigravity profile or access token found.");
process.exit(1);
}
token = auth.access;
if (auth.projectId) projectId = auth.projectId;
} catch (e) {
console.error(`Error parsing auth profile: ${e.message}`);
process.exit(1);
}
// --- Request ---
const payload = {
project: projectId,
model: "gemini-3-pro-image",
request: {
contents: [{
role: "user",
parts: [{ text: prompt }]
}],
systemInstruction: {
parts: [{ text: "You are an AI image generator. Generate images based on user descriptions." }]
},
generationConfig: {
imageConfig: { aspectRatio: aspectRatio },
candidateCount: 1
}
},
requestType: "agent",
requestId: `agent-${Date.now()}`,
userAgent: "antigravity"
};
console.log(`🎨 Generating image...`);
console.log(` Prompt: "${prompt.substring(0, 50)}..."`);
console.log(` Ratio: ${aspectRatio}`);
const req = https.request(ENDPOINT, {
method: 'POST',
headers: {
'Authorization': `Bearer ${token}`,
'Content-Type': 'application/json',
'Accept': 'text/event-stream',
// IMPORTANT: Version bump to bypass deprecation checks
'User-Agent': 'antigravity/2.0.0 darwin/arm64',
'X-Goog-Api-Client': 'google-cloud-sdk vscode_cloudshelleditor/0.1',
'Client-Metadata': JSON.stringify({
ideType: "IDE_UNSPECIFIED",
platform: "PLATFORM_UNSPECIFIED",
pluginType: "GEMINI",
})
}
}, (res) => {
if (res.statusCode !== 200) {
console.error(`API Error: ${res.statusCode} ${res.statusMessage}`);
}
let data = '';
res.on('data', (chunk) => {
data += chunk.toString();
});
res.on('end', () => {
const lines = data.split('\n');
for (const line of lines) {
if (line.startsWith('data:')) {
try {
const json = JSON.parse(line.substring(5));
// Check for error in response content
const parts = json.response?.candidates?.[0]?.content?.parts;
if (parts) {
for (const part of parts) {
if (part.inlineData && part.inlineData.data) {
// Success!
fs.writeFileSync(outputFile, Buffer.from(part.inlineData.data, 'base64'));
console.log(`✅ Image saved to: ${outputFile}`);
// Clawdbot magic tag
console.log(`MEDIA: ${outputFile}`);
process.exit(0);
} else if (part.text) {
console.log(`Model message: ${part.text}`);
}
}
}
} catch (e) {
// Ignore parse errors for keep-alives
}
}
}
console.error("❌ No image data found in response.");
console.error("Raw start:", data.substring(0, 200));
process.exit(1);
});
});
req.on('error', (e) => {
console.error(`Request error: ${e.message}`);
process.exit(1);
});
req.write(JSON.stringify(payload));
req.end();