Render Network与好莱坞视效：GPU渲染的DePIN经济模型

// SPDX-License-Identifier: MIT
// Render Network BME Treasury Contract（简化逻辑）
pragma solidity ^0.8.19;

contract RenderBMETreasury {
    address public foundation;
    mapping(address => uint256) public renderCredits;
    uint256 public totalBurned;
    uint256 public emissionRate = 1000 ether; // 每区块排放量

    event CreditsIssued(address indexed user, uint256 amount);
    event JobCompleted(bytes32 indexed jobId, address node, uint256 reward);

    constructor() {
        foundation = msg.sender;
    }

    // 创作者燃烧RENDER获取Render Credits
    function burnForCredits(uint256 amount) external {
        require(amount > 0, "零燃烧无意义");
        // 实际合约中此处调用RENDER代币合约的transferFrom
        // IERC20(renderToken).transferFrom(msg.sender, address(this), amount);
        totalBurned += amount;
        renderCredits[msg.sender] += amount * 4; // 1 RENDER = 4 OBh/Credit
        emit CreditsIssued(msg.sender, amount * 4);
    }

    // 节点完成作业后申领奖励
    function claimReward(bytes32 jobId, address node, uint256 obh) external {
        require(msg.sender == foundation, "仅基金会可调用");
        // 根据OctaneBench小时数计算奖励
        uint256 reward = obh / 200; // 200 OBh = 1 RENDER
        // 铸造新代币给节点
        // IRenderMint(renderToken).mint(node, reward);
        emit JobCompleted(jobId, node, reward);
    }
}

import requests
import json
import hashlib
import os

class RenderNetworkClient:
    """Render Network API客户端 - 用于自动化渲染作业提交"""

    def __init__(self, api_key: str, base_url: str = "https://api.render.x.io/v1"):
        self.api_key = api_key
        self.base_url = base_url
        self.headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }

    def create_job(self, scene_path: str, tier: int = 3, frames: tuple = (1, 240)) -> dict:
        """
        创建渲染作业
        :param scene_path: ORBX或ZIP场景文件路径
        :param tier: 渲染层级 (2=Priority, 3=Economy)
        :param frames: 帧范围 (start, end)
        """
        file_hash = self._compute_file_hash(scene_path)
        payload = {
            "scene": scene_path,
            "tier": tier,
            "frameStart": frames[0],
            "frameEnd": frames[1],
            "checksum": file_hash,
            "renderer": "octane",
            "outputFormat": "exr",
            "resolution": "3840x2160"
        }

        response = requests.post(
            f"{self.base_url}/jobs",
            headers=self.headers,
            json=payload
        )
        response.raise_for_status()
        return response.json()

    def check_job_status(self, job_id: str) -> dict:
        """查询作业渲染状态"""
        response = requests.get(
            f"{self.base_url}/jobs/{job_id}",
            headers=self.headers
        )
        return response.json()

    def _compute_file_hash(self, file_path: str) -> str:
        """计算文件SHA256哈希用于完整性校验"""
        sha256 = hashlib.sha256()
        with open(file_path, "rb") as f:
            for chunk in iter(lambda: f.read(8192), b""):
                sha256.update(chunk)
        return sha256.hexdigest()

    def estimate_cost(self, obh: int, tier: int = 3) -> float:
        """
        估算渲染成本
        Tier 2: 100 OBh / 1 RENDER
        Tier 3: 200 OBh / 1 RENDER
        """
        if tier == 2:
            return obh / 100.0
        return obh / 200.0

# 使用示例
client = RenderNetworkClient(api_key="your_api_key_here")
cost = client.estimate_cost(obh=5000, tier=3)
print(f"预估成本: {cost:.2f} RENDER")

# 提交作业
job = client.create_job(
    scene_path="/projects/avengers_scene_v42.orbx",
    tier=2,
    frames=(1, 120)
)
print(f"作业已提交: {job['jobId']}")

/**
 * Render Network AI渲染集成模块
 * 用于前端页面中的AI视频生成与渲染任务调度
 */
class RenderAIBridge {
  constructor(config) {
    this.apiEndpoint = config.apiEndpoint || 'https://api.render.x.io/v1';
    this.walletProvider = config.walletProvider; // Solana钱包
    this.sessionToken = null;
  }

  /** 创建AI渲染任务（文本/图像生成视频） */
  async createAITask(params) {
    const { prompt, model, frames, style } = params;

    // 预估算力消耗
    const estimatedObh = frames * 2.5; // 每帧约2.5 OBh
    const estimatedCost = estimatedObh / 200;

    // 检查钱包余额
    const balance = await this.walletProvider.getBalance();
    if (balance < estimatedCost) {
      throw new Error(`RENDER余额不足: 需要 ${estimatedCost}，当前 ${balance}`);
    }

    // 提交AI渲染任务
    const response = await fetch(`${this.apiEndpoint}/ai/jobs`, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${this.sessionToken}`
      },
      body: JSON.stringify({
        model: model || 'runway-gen3',
        prompt: prompt,
        frameCount: frames || 120,
        resolution: '1920x1080',
        stylePreset: style || 'cinematic',
        tier: 2, // AI任务建议使用优先级层
        callback: 'https://my-studio.com/render-callback'
      })
    });

    const job = await response.json();
    return {
      jobId: job.jobId,
      estimatedCost: estimatedCost,
      estimatedTime: frames * 45, // 每帧约45秒
      status: 'queued'
    };
  }

  /** 轮询任务进度 */
  async pollJobProgress(jobId, onProgress) {
    const interval = setInterval(async () => {
      const status = await fetch(`${this.apiEndpoint}/ai/jobs/${jobId}`, {
        headers: { 'Authorization': `Bearer ${this.sessionToken}` }
      }).then(r => r.json());

      onProgress({
        framesCompleted: status.framesCompleted,
        totalFrames: status.totalFrames,
        percent: (status.framesCompleted / status.totalFrames * 100).toFixed(1),
        currentCost: status.costBurned,
        eta: status.estimatedRemaining
      });

      if (status.state === 'completed' || status.state === 'failed') {
        clearInterval(interval);
        return status;
      }
    }, 10000);

    return interval;
  }
}

// 使用示例
const bridge = new RenderAIBridge({
  apiEndpoint: 'https://api.render.x.io/v1',
  walletProvider: window.solana
});

const task = await bridge.createAITask({
  prompt: 'cinematic shot of a cyberpunk city, neon lights reflecting on wet pavement, 8K',
  frames: 240,
  style: 'blade-runner-2049'
});

console.log(`任务已提交: ${task.jobId}，预估 ${task.estimatedTime / 60} 分钟完成`);