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BytesAgain β€Ί Skills β€Ί Video Generator Free Models
πŸ¦€ ClawHub

Video Generator Free Models

by @vcarolxhberger

generate text prompts into AI generated videos with this skill. Works with MP4, MOV, WebM, GIF files up to 500MB. content creators use it for generating shor...

Versionv1.0.0
Downloads241
#writing#video#legal#gaming
TERMINAL
clawhub install video-generator-free-models

πŸ“– About This Skill

name: video-generator-free-models version: "1.0.0" displayName: "Video Generator Free Models β€” Generate Videos From Text Free" description: > generate text prompts into AI generated videos with this skill. Works with MP4, MOV, WebM, GIF files up to 500MB. content creators use it for generating short videos from text prompts using free AI models β€” processing takes 1-3 minutes on cloud GPUs and you get 1080p MP4 files. metadata: {"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}

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 short text description of a sunset over the ocean into a 1080p MP4"
  • "generate a 15-second video clip of a forest with birds flying overhead"
  • "generating short videos from text prompts using free AI models for content creators"

    • Getting Connected

    Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

    If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days β€” use it as NEMO_TOKEN

    • Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

    Tell the user you're ready. Keep the technical details out of the chat.

    Video Generator Free Models β€” Generate Videos From Text Free

    Drop your text prompts in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs β€” you don't need anything installed locally.

    Here's a typical use: you send a a short text description of a sunset over the ocean, ask for generate a 15-second video clip of a forest with birds flying overhead, and about 1-3 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

    One thing worth knowing β€” shorter and more specific prompts tend to produce more accurate video results.

    Matching Input to Actions

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

    | User says... | Action | Skip SSE? | |-------------|--------|----------| | "export" / "ε―Όε‡Ί" / "download" / "send me the video" | β†’ Β§3.5 Export | βœ… | | "credits" / "η§―εˆ†" / "balance" / "余钝" | β†’ Β§3.3 Credits | βœ… | | "status" / "ηŠΆζ€" / "show tracks" | β†’ Β§3.4 State | βœ… | | "upload" / "上传" / user sends file | β†’ Β§3.2 Upload | βœ… | | Everything else (generate, edit, add BGM…) | β†’ Β§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 | video-generator-free-models | | X-Skill-Version | frontmatter version | | X-Skill-Platform | auto-detect: clawhub / cursor / unknown from install path |

    Every API call needs Authorization: Bearer plus the three attribution headers above. If any header is missing, exports return 402.

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

    Create session: POST /api/tasks/me/with-session/nemo_agent β€” body {"task_name":"project","language":""} β€” returns task_id, session_id.

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

    Upload: POST /api/upload-video/nemo_agent/me/ β€” file: multipart -F "files=@/path", or URL: {"urls":[""],"source_type":"url"}

    Credits: GET /api/credits/balance/simple β€” returns available, frozen, total

    Session state: GET /api/state/nemo_agent/me//latest β€” key fields: data.state.draft, data.state.video_infos, data.state.generated_media

    Export (free, no credits): POST /api/render/proxy/lambda β€” body {"id":"render_","sessionId":"","draft":,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/ 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.

    Translating GUI Instructions

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

  • "click" or "点击" β†’ execute the action via the relevant endpoint
  • "open" or "打开" β†’ query session state to get the data
  • "drag/drop" or "ζ‹–ζ‹½" β†’ send the edit command through SSE
  • "preview in timeline" β†’ show a text summary of current tracks
  • "Export" or "ε―Όε‡Ί" β†’ run the export workflow

    • Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

    Example timeline summary: 

    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 Β§3.0 | | 2001 | No credits | Anonymous: show registration URL with ?bind= (get 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 Β§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 "generate a 15-second video clip of a forest with birds flying overhead" β€” 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 platforms and devices.

    Common Workflows

    Quick edit: Upload β†’ "generate a 15-second video clip of a forest with birds flying overhead" β†’ Download MP4. Takes 1-3 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.

    πŸ’‘ Examples

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

    Try saying:

  • "generate a short text description of a sunset over the ocean into a 1080p MP4"
  • "generate a 15-second video clip of a forest with birds flying overhead"
  • "generating short videos from text prompts using free AI models for content creators"

    • Getting Connected

    Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

    If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days β€” use it as NEMO_TOKEN

    • Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

    Tell the user you're ready. Keep the technical details out of the chat.

    Video Generator Free Models β€” Generate Videos From Text Free

    Drop your text prompts in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs β€” you don't need anything installed locally.

    Here's a typical use: you send a a short text description of a sunset over the ocean, ask for generate a 15-second video clip of a forest with birds flying overhead, and about 1-3 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

    One thing worth knowing β€” shorter and more specific prompts tend to produce more accurate video results.