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susan4731-wilfordf

Deepseek Text To Video Free

by susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install deepseek-text-to-video-free
Description
Skip the learning curve of professional editing software. Describe what you want — turn this text into a short video clip with visuals and background music —...
README (SKILL.md)

Getting Started

Send me your text prompts and I'll handle the AI video generation. Or just describe what you're after.

Try saying:

  • "generate a two-sentence scene description into a 1080p MP4"
  • "turn this text into a short video clip with visuals and background music"
  • "generating videos from written text prompts for free for content creators"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

DeepSeek Text to Video Free — Generate Videos from Text

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

A quick example: upload a two-sentence scene description, type "turn this text into a short video clip with visuals and background music", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

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

Matching Input to Actions

User prompts referencing deepseek text to video free, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source deepseek-text-to-video-free
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/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_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> 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.

SSE Event Handling

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.

Backend Response Translation

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)

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=\x3Cid> (get \x3Cid> 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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn this text into a short video clip with visuals and background music" — concrete instructions get better results.

Max file size is 200MB. Stick to TXT, DOCX, PDF, plain text for the smoothest experience.

Export as MP4 for widest compatibility across social platforms.

Common Workflows

Quick edit: Upload → "turn this text into a short video clip with visuals and background music" → 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.

Usage Guidance
This skill appears to do what it says: call a remote 'nemovideo' API to generate videos from text and requires a single API token (NEMO_TOKEN). Before installing: 1) Verify the skill source or publisher if possible — the registry lists no homepage. 2) Prefer using the anonymous token flow (the skill documents how to fetch a short‑lived token) rather than placing a long‑lived or high‑privilege token in NEMO_TOKEN. 3) Be careful about which local files you upload (don’t upload secrets or system files). 4) Ask for clarification about the mismatched config path (~/.config/nemovideo/) in the SKILL.md frontmatter — confirm whether the agent will read that directory and what it stores there. If you cannot verify source or storage behavior, limit exposure by using ephemeral tokens and avoid uploading sensitive files.
Capability Analysis
Type: OpenClaw Skill Name: deepseek-text-to-video-free Version: 1.0.0 The skill provides a functional interface for a text-to-video generation service hosted at nemovideo.ai. It includes logic for automated anonymous authentication, session management, file uploads, and polling for video render status. While it utilizes external API calls and handles user-provided content, all behaviors are transparently documented in SKILL.md and align with the stated purpose of the tool. No evidence of data exfiltration, unauthorized system access, or malicious prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description match the actions described in SKILL.md: creating videos from text via a remote API. The single declared credential (NEMO_TOKEN) aligns with an API token for the remote service and is appropriate for this purpose.
Instruction Scope
SKILL.md instructs the agent to create/refresh a token (anonymous-token endpoint), create a session, send SSE messages, upload user files (multipart or URL), poll render status, and return download URLs. Those actions are consistent with a cloud render workflow; the skill asks the agent to save session_id and the token (in memory/state) and to avoid printing raw tokens. It will also read user-supplied file paths for upload — verify that files uploaded are only those you intend to share.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk by an installer; runtime network calls are the main surface.
Credentials
The declared required env var (NEMO_TOKEN) is proportional. However, the SKILL.md frontmatter metadata also lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — this discrepancy is a concern because a config path could expose local credentials or files. The skill does not request unrelated credentials, which is good.
Persistence & Privilege
always is false and the skill does not request elevated or cross-skill modifications. The agent may store session IDs/tokens for runtime use; confirm how/where the agent stores them if you need persistence guarantees or deletion.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install deepseek-text-to-video-free
  3. After installation, invoke the skill by name or use /deepseek-text-to-video-free
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
DeepSeek Text to Video Free — v1.0.0 - Initial release: Instantly generate short videos with visuals and background music from text prompts or uploaded files (TXT, DOCX, PDF, plain text, up to 200MB). - Seamless cloud-based rendering — nothing to install, just connect and start creating. - Automatic user onboarding with free, time-limited tokens for video generation. - Session management for iterative editing, file uploads, export, and tracking credits/balance. - Supports exporting videos in multiple formats (MP4, MOV, AVI, etc.) and polling for job completion. - Built-in error handling and helpful status updates to guide you through the workflow.
Metadata
Slug deepseek-text-to-video-free
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Deepseek Text To Video Free?

Skip the learning curve of professional editing software. Describe what you want — turn this text into a short video clip with visuals and background music —... It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.

How do I install Deepseek Text To Video Free?

Run "/install deepseek-text-to-video-free" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Deepseek Text To Video Free free?

Yes, Deepseek Text To Video Free is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Deepseek Text To Video Free support?

Deepseek Text To Video Free is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Deepseek Text To Video Free?

It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.

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