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BytesAgain β€Ί Skills β€Ί Image To Video Elevenlabs
πŸ¦€ ClawHub

Image To Video Elevenlabs

by @peand-rover

convert images into narrated video clips with this skill. Works with JPG, PNG, WEBP, GIF files up to 200MB. content creators, marketers use it for converting...

Versionv1.0.0
Downloads355
#writing#video#audio#legal
TERMINAL
clawhub install image-to-video-elevenlabs

πŸ“– About This Skill

name: image-to-video-elevenlabs version: "1.0.0" displayName: "Image to Video ElevenLabs β€” Convert Images to Narrated Videos" description: > convert images into narrated video clips with this skill. Works with JPG, PNG, WEBP, GIF files up to 200MB. content creators, marketers use it for converting static images into videos with AI-generated voice narration β€” processing takes 1-2 minutes on cloud GPUs and you get 1080p MP4 files. metadata: {"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}

Getting Started

> Share your images and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

  • "convert my images"
  • "export 1080p MP4"
  • "turn this image into a short"

    • First-Time Connection

    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.

    1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN β€” 100 free credits, valid 7 days. 2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer , Content-Type: application/json, and body {"task_name":"project","language":""}. 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.

    Image to Video ElevenLabs β€” Convert Images to Narrated Videos

    Send me your images and describe the result you want. The AI video creation runs on remote GPU nodes β€” nothing to install on your machine.

    A quick example: upload a single product photo or landscape image, type "turn this image into a short video with ElevenLabs voiceover narration", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

    Worth noting: high-contrast images with clear subjects produce the most dynamic motion effects.

    Matching Input to Actions

    User prompts referencing image to video elevenlabs, 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.

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

    Skill attribution β€” read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: image-to-video-elevenlabs
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/ β†’ clawhub, ~/.cursor/skills/ β†’ cursor, else unknown)

    • 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.

    Error Codes

  • 0 β€” success, continue normally
  • 1001 β€” token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 β€” session not found; create a new one
  • 2001 β€” out of credits; anonymous users get a registration link with ?bind=, registered users top up
  • 4001 β€” unsupported file type; show accepted formats
  • 4002 β€” file too large; suggest compressing or trimming
  • 400 β€” missing X-Client-Id; generate one and retry
  • 402 β€” free plan export blocked; not a credit issue, subscription tier
  • 429 β€” rate limited; wait 30s and retry once

    • 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

    • 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.

    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)

    Tips and Tricks

    The backend processes faster when you're specific. Instead of "make it look better", try "turn this image into a short video with ElevenLabs voiceover narration" β€” concrete instructions get better results.

    Max file size is 200MB. Stick to JPG, PNG, WEBP, GIF for the smoothest experience.

    Export as MP4 for widest compatibility across social platforms.

    Common Workflows

    Quick edit: Upload β†’ "turn this image into a short video with ElevenLabs voiceover narration" β†’ 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.

    πŸ’‘ Examples

    > Share your images and I'll get started on AI video creation. Or just tell me what you're thinking.

    Try saying:

  • "convert my images"
  • "export 1080p MP4"
  • "turn this image into a short"

    • First-Time Connection

    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.

    1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN β€” 100 free credits, valid 7 days. 2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer , Content-Type: application/json, and body {"task_name":"project","language":""}. 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.

    Image to Video ElevenLabs β€” Convert Images to Narrated Videos

    Send me your images and describe the result you want. The AI video creation runs on remote GPU nodes β€” nothing to install on your machine.

    A quick example: upload a single product photo or landscape image, type "turn this image into a short video with ElevenLabs voiceover narration", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

    Worth noting: high-contrast images with clear subjects produce the most dynamic motion effects.