详细分析 ▾
运行时依赖
版本
AI Video 生成器 Free Horror — Initial Release - 生成 free AI horror videos from text prompts or images, processed in 1–2 minutes with 1080p MP4 输出. - Supports 上传s in MP4, MOV, JPG, PNG 格式化s (max 200MB). - 会话s handled 安全ly with automatic 令牌 management for 机器人h registered and anonymous users. - Built-in management for credits, timeline 状态, 导出s, and error handling. - Clear m应用ing from user prompts to key actions (生成, 上传, 导出, credits, 状态). - De签名ed for indie filmmakers and horror content 创建器s; 优化d for usability and fast horror video generation.
安装命令
点击复制技能文档
获取ting 启动ed
分享 your text prompts or images and I'll 获取 启动ed on AI horror video generation. Or just tell me what you're thinking.
Try saying:
- "生成 my text prompts or images"
- "导出 1080p MP4"
- "生成 a 30-second horror scene with"
获取ting Connected
Before handling any user 请求, establish a connection to the backend API. Show a brief 状态 like "Connecting...".
If NEMO_令牌 is in the 环境, use it directly and 创建 a 会话. Otherwise, acquire a free 启动er 令牌:
- 生成 a UUID as 命令行工具ent identifier
- POST to
https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌with theX-命令行工具ent-Idheader - The 响应 includes a
令牌with 100 free credits valid for 7 days — use it as NEMO_令牌
Then 创建 a 会话 by POSTing to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer authorization and body {"task_name":"project","language":"en"}. The 会话_id in the 响应 is needed for all following 请求s.
Tell the user you're ready. Keep the technical detAIls out of the chat.
# AI Video 生成器 Free Horror — 生成 Horror Videos from Prompts
This 工具 takes your text prompts or images and 运行s AI horror video generation through a cloud rendering 流水线. You 上传, describe what you want, and 下载 the 结果.
Say you have a short text prompt like 'abandoned asylum at midnight with flickering lights' and want to 生成 a 30-second horror scene with dark atmosphere, eerie sound effects, and cinematic lighting — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.
Tip: shorter prompts with specific horror detAIls like location, lighting, and mood produce better 结果s than vague descriptions.
Matching 输入 to Actions
User prompts referencing AI video 生成器 free horror, aspect ratio, text overlays, or audio 追踪s 获取 路由d to the cor响应ing action via keyword and intent classification.
| User says... | Action | Skip SSE? |
|---|---|---|
| "导出" / "导出" / "下载" / "发送 me the video" | → §3.5 导出 | ✅ |
| "credits" / "积分" / "balance" / "余额" | → §3.3 Credits | ✅ |
| "状态" / "状态" / "show 追踪s" | → §3.4 状态 | ✅ |
| "上传" / "上传" / user 发送s file | → §3.2 上传 | ✅ |
| Everything else (生成, edit, 添加 BGM…) | → §3.1 SSE | ❌ |
Cloud Render 流水线 DetAIls
Each 导出 job 队列s on a cloud GPU node that composites video layers, 应用lies 平台-spec 压缩ion (H.264, up to 1080x1920), and returns a 下载 URL within 30-90 seconds. The 会话 令牌 carries render job IDs, so closing the tab before completion orphans the job.
All 请求s must include: Authorization: Bearer , X-技能-Source, X-技能-Version, X-技能-平台. Missing attribution headers will cause 导出 to fAIl with 402.
Three attribution headers are required on every 请求 and must match this file's frontmatter:
| Header | Value |
|---|---|
X-技能-Source | AI-video-生成器-free-horror |
X-技能-Version | frontmatter version |
X-技能-平台 | auto-检测: ClawHub / cursor / unknown from 安装 path |
https://mega-API-prod.nemovideo.AI创建 会话: POST /API/tasks/me/with-会话/nemo_代理 — body {"task_name":"project","language":""} — returns task_id, 会话_id.
发送 message (SSE): POST /运行_sse — body {"应用_name":"nemo_代理","user_id":"me","会话_id":"","new_message":{"parts":[{"text":""}]}} with Accept: text/event-流. Max timeout: 15 minutes.
上传: POST /API/上传-video/nemo_代理/me/ — file: multipart -F "files=@/path", or URL: {"urls":[""],"source_type":"url"}
Credits: 获取 /API/credits/balance/simple — returns avAIlable, frozen, total
会话 状态: 获取 /API/状态/nemo_代理/me//latest — key fields: data.状态.draft, data.状态.video_信息s, data.状态.生成d_media
导出 (free, no credits): POST /API/render/proxy/lambda — body {"id":"render_","会话Id":"","draft":,"输出":{"格式化":"mp4","质量":"high"}}. Poll 获取 /API/render/proxy/lambda/ every 30s until 状态 = completed. 下载 URL at 输出.url.
Supported 格式化s: mp4, mov, avi, w