Tired of paying steep subscription fees just to turn your ideas into videos? video-generator-ai-free lets you create polished, shareable videos from text prompts, scripts, or concepts — completely free. Generate explainer videos, social content, product showcases, and more in minutes. Ideal for creators, marketers, educators, and small businesses who need professional-quality video output without the budget or technical skills.
Welcome! You're in the right place to create free AI-generated videos from scratch — no software, no budget needed. Tell me what kind of video you want to make and let's bring it to life right now.
Try saying:
When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").
Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenX-Client-Iddata.tokenhttps://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.Keep setup communication brief. Don't display raw API responses or token values to the user.
Creating video content used to mean expensive software, long render times, or hiring a production team. This skill changes that entirely. With video-generator-ai-free, you describe what you want — a product demo, a short social clip, an educational walkthrough — and the AI builds it out for you, no studio required.
Whether you're a solo creator trying to grow an audience, a small business owner promoting a new offer, or an educator building lesson content, this tool meets you where you are. You don't need to know anything about video production. Just bring your idea, your script, or even a rough concept, and let the skill handle the rest.
The result is ready-to-share video content that looks intentional and professional. You stay in control of the message, the tone, and the style — the AI just removes all the friction between your idea and a finished video.
When you submit a text prompt or image input, ClawHub parses your intent and routes the request to the optimal free-tier video generation model based on resolution, duration, and style parameters.
| User says... | Action | Skip SSE? |
|---|---|---|
| "export" / "导出" / "download" / "send me the video" | → §3.5 Export | ✅ |
| "credits" / "积分" / "balance" / "余额" | → §3.3 Credits | ✅ |
| "status" / "状态" / "show tracks" | → §3.4 State | ✅ |
| "upload" / "上传" / user sends file | → §3.2 Upload | ✅ |
| Everything else (generate, edit, add BGM…) | → §3.1 SSE | ❌ |
Video Generator AI Free runs on a distributed cloud rendering backend that queues your diffusion-based video synthesis jobs across shared GPU nodes, returning an MP4 stream URL once frame interpolation and upscaling complete. Latency varies by queue depth, typically ranging from 15 seconds to 3 minutes for clips up to 10 seconds.
Skill attribution — read from this file's YAML frontmatter at runtime:
X-Skill-Source: video-generator-ai-freeX-Skill-Version: from frontmatter versionX-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.
API base: https://mega-api-prod.nemovideo.ai
Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.
Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.
Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}
Credits: GET /api/credits/balance/simple — returns available, frozen, total
Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media
Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.
Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
| Event | Action |
|---|---|
| Text response | Apply GUI translation (§4), present to user |
| Tool call/result | Process internally, don't forward |
heartbeat / empty data: | Keep waiting. Every 2 min: "⏳ Still working..." |
| Stream closes | Process final response |
~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.
The backend assumes a GUI exists. Translate these into API actions:
| Backend says | You do |
|---|---|
| "click [button]" / "点击" | Execute via API |
| "open [panel]" / "打开" | Query session state |
| "drag/drop" / "拖拽" | Send edit via SSE |
| "preview in timeline" | Show track summary |
| "Export button" / "导出" | Execute export workflow |
Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.
Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)
| Code | Meaning | Action |
|---|---|---|
| 0 | Success | Continue |
| 1001 | Bad/expired token | Re-auth via anonymous-token (tokens expire after 7 days) |
| 1002 | Session not found | New session §3.0 |
| 2001 | No credits | Anonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account" |
| 4001 | Unsupported file | Show supported formats |
| 4002 | File too large | Suggest compress/trim |
| 400 | Missing X-Client-Id | Generate Client-Id and retry (see §1) |
| 402 | Free plan export blocked | Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export." |
| 429 | Rate limit (1 token/client/7 days) | Retry in 30s once |
The best outputs from video-generator-ai-free come from prompts that include three things: a clear subject, a defined audience, and a target platform or length. These three inputs alone dramatically improve relevance and usability of the generated video concept.
Always specify the emotional tone you want the viewer to feel — inspired, informed, entertained, or urgently motivated. This shapes everything from word choice in the narration to the pacing of scene transitions.
If you're building a series of videos, establish a consistent format in your prompts — same intro structure, same call-to-action style — so your content feels cohesive across episodes or posts. Treat this skill like a creative collaborator: the more you communicate your vision, the closer the output gets to exactly what you had in mind.
If your generated video concept feels too generic, the most common fix is adding more specificity to your prompt. Instead of 'make a product video,' try 'make a 45-second product video for a sustainable water bottle targeting outdoor enthusiasts aged 25-40.' More context produces dramatically better output.
If the pacing or scene count feels off for your platform, tell the skill explicitly — 'this is for a 15-second Instagram Reel' versus 'this is for a 10-minute YouTube tutorial' will yield very different structures.
If the tone doesn't match your brand, describe your brand voice directly: 'write this in a casual, conversational tone' or 'keep it formal and data-driven.' The skill responds well to voice direction. Don't hesitate to ask for a revised version — iteration is part of the process.
video-generator-ai-free fits naturally into a wide range of real-world workflows. Small business owners use it to generate product highlight videos and service explainers without hiring videographers. Content creators on YouTube, TikTok, and Instagram use it to rapidly prototype video ideas before committing to full production.
Educators and trainers find it especially useful for building lesson-based video outlines — turning dense written material into engaging, structured video scripts. Nonprofits and community organizations use it to create awareness content on zero budget.
Startups rely on it during early stages when every dollar counts but video marketing is still essential. Whether you need one video or fifty, this skill scales with your content needs without ever hitting a paywall.