Ai Video Generator Free Cartoon

Skip the learning curve of professional editing software. Describe what you want — generate a free cartoon video of a robot dancing in a city from my text pr...

Security Scan

The skill's required credentials, API calls, and runtime instructions are coherent with a cloud-based video-generation service; no installers or unrelated credentials are requested, but provenance is limited and a small metadata mismatch is present.

Purpose & Capability

The name/description promise (generate cartoon videos from text) matches the runtime instructions: it uses a remote API (mega-api-prod.nemovideo.ai) for session, upload, render, and export. Requiring a NEMO_TOKEN (and creating an anonymous one if missing) is consistent with a cloud service.

Instruction Scope

Instructions focus on creating a session, uploading media, SSE-based generation, polling renders, and credit checks. They also instruct reading the skill's YAML frontmatter for attribution and detecting the install path (~/.clawhub, ~/.cursor/skills or else) which implies the agent may inspect its own file/paths in the user's home directory — this is limited scope but worth noting.

Install Mechanism

No install spec or code files are present; the skill is instruction-only, so nothing is written to disk by an installer. This is low-risk from an installation standpoint.

Credentials

Only NEMO_TOKEN is declared as required (primary credential), which fits the described API usage. There is a small inconsistency: registry metadata listed no required config paths, but the SKILL.md frontmatter declares a config path (~/.config/nemovideo/). This likely indicates the skill may read or expect a local config directory for nemo, which should be acceptable for this purpose but is an extra filesystem access to be aware of.

Persistence & Privilege

always:false and no special persistence is requested. The skill does not ask to modify other skills or system-wide settings. Autonomous invocation is allowed (default) but not combined with other high-risk flags.

Assessment

This skill appears to do what it says: it will call mega-api-prod.nemovideo.ai to create sessions, upload media, and render videos. Before installing or invoking it, consider: (1) provenance — the skill has no homepage and unknown source, so verify you trust the registry owner; (2) privacy — uploads and prompts are sent to a third-party service (uploads up to 500MB) — do not send sensitive or private data; (3) tokens — if you provide an existing NEMO_TOKEN it grants the service access tied to that token; if you don't provide one the skill will request an anonymous token (100 free credits, 7-day expiry) from the service automatically; (4) filesystem reads — the skill may read its own frontmatter and attempt to detect install paths or a local config (~/.config/nemovideo/), which is reasonable for attribution but you should be comfortable with that access; (5) network endpoints — all traffic goes to mega-api-prod.nemovideo.ai; validate that domain if you need higher assurance. If any of these are unacceptable (privacy, unknown origin, or supplying your own token), do not enable the skill or only use it in a sandboxed environment.

Getting Started

Ready when you are. Drop your text prompts here or describe what you want to make.

Try saying:

• "generate a short text description like 'a cartoon fox exploring a forest' into a 1080p MP4"
• "generate a free cartoon video of a robot dancing in a city from my text prompt"
• "generating cartoon-style animated videos from text prompts for free for content creators, educators, social media users"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

• Generate a UUID as client identifier
• POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
• Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

AI Video Generator Free Cartoon — Generate Cartoon Videos from Text

Send me your text prompts and describe the result you want. The AI cartoon video generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a short text description like 'a cartoon fox exploring a forest', type "generate a free cartoon video of a robot dancing in a city from my text prompt", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter and more specific text prompts produce more accurate cartoon results.

Matching Input to Actions

User prompts referencing ai video generator free cartoon, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

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	❌

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Skill attribution — read from this file's YAML frontmatter at runtime:

• X-Skill-Source: ai-video-generator-free-cartoon
• X-Skill-Version: from frontmatter version
• X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

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.

Error Handling

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

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

• "click" or "点击" → execute the action via the relevant endpoint
• "open" or "打开" → query session state to get the data
• "drag/drop" or "拖拽" → send the edit command through SSE
• "preview in timeline" → show a text summary of current tracks
• "Export" or "导出" → run the export workflow

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

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)

Common Workflows

Quick edit: Upload → "generate a free cartoon video of a robot dancing in a city from my text prompt" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a free cartoon video of a robot dancing in a city from my text prompt" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, WebM, GIF for the smoothest experience.

Export as MP4 for widest compatibility across social media platforms.