Turn five product images and a logo file into 1080p designed video content just by typing what you need. Whether it's generating branded videos from images u...
---
name: generator-canva
version: "1.0.0"
displayName: "Generator Canva β Create Videos from Images"
description: >
Turn five product images and a logo file into 1080p designed video content just by typing what you need. Whether it's generating branded videos from images using a Canva-style interface or quick social content, drop your images or clips and describe the result you want. No timeline dragging, no export settings β 1-2 minutes from upload to download.
metadata: {"openclaw": {"emoji": "π¨", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}
---
## Getting Started
> Ready when you are. Drop your images or clips here or describe what you want to make.
**Try saying:**
- "generate five product images and a logo file into a 1080p MP4"
- "create a 30-second promotional video with text overlays and music"
- "generating branded videos from images using a Canva-style interface for marketers and social media creators"
### 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 <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.
# Generator Canva β Create Videos from Images
This tool takes your images or clips and runs AI video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have five product images and a logo file and want to create a 30-second promotional video with text overlays and music β the backend processes it in about 1-2 minutes and hands you a 1080p MP4.
Tip: using consistent image dimensions speeds up the layout process.
## Matching Input to Actions
User prompts referencing generator canva, 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―ΌεΊ" / "download" / "send me the video" | β Β§3.5 Export | β
|
| "credits" / "η§―ε" / "balance" / "δ½ι’" | β Β§3.3 Credits | β
|
| "status" / "ηΆζ" / "show tracks" | β Β§3.4 State | β
|
| "upload" / "δΈδΌ " / user sends file | β Β§3.2 Upload | β
|
| Everything else (generate, edit, add BGMβ¦) | β Β§3.1 SSE | β |
## 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 β omitting them triggers a 402 on export.
Headers are derived from this file's YAML frontmatter. `X-Skill-Source` is `generator-canva`, `X-Skill-Version` comes from the `version` field, and `X-Skill-Platform` is detected from the install path (`~/.clawhub/` = `clawhub`, `~/.cursor/skills/` = `cursor`, otherwise `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":"<lang>"}` β returns `task_id`, `session_id`.
**Send message (SSE)**: POST `/run_sse` β 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>` β file: multipart `-F "files=@/path"`, or URL: `{"urls":["<url>"],"source_type":"url"}`
**Credits**: GET `/api/credits/balance/simple` β returns `available`, `frozen`, `total`
**Session state**: GET `/api/state/nemo_agent/me/<sid>/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_<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 Β§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 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 |
### Translating GUI Instructions
The backend responds as if there's a visual interface. Map its instructions to API calls:
- "click" or "ηΉε»" β execute the action via the relevant endpoint
- "open" or "ζεΌ" β query session state to get the data
- "drag/drop" or "ζζ½" β send the edit command through SSE
- "preview in timeline" β show a text summary of current tracks
- "Export" or "ε―ΌεΊ" β run the export workflow
### SSE Event Handling
| Event | Action |
|-------|--------|
| Text response | Apply GUI translation (Β§4), present to user |
| Tool call/result | Process internally, don't forward |
| `heartbeat` / empty `data:` | Keep waiting. Every 2 min: "β³ 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 "create a 30-second promotional video with text overlays and music" β concrete instructions get better results.
Max file size is 500MB. Stick to MP4, MOV, PNG, JPG for the smoothest experience.
Export as MP4 for widest compatibility.
## Common Workflows
**Quick edit**: Upload β "create a 30-second promotional video with text overlays and music" 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.
don't have the plugin yet? install it then click "run inline in claude" again.