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BytesAgain β€Ί Skills β€Ί Ai Video From Photo
πŸ¦€ ClawHub

Ai Video From Photo

by @dsewell-583h0

turn photos or images into animated photo videos with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. social media creators use it for turning...

Versionv1.0.0
Downloads247
#video#social-media#legal
TERMINAL
clawhub install ai-video-from-photo

πŸ“– About This Skill

name: ai-video-from-photo version: "1.0.0" displayName: "AI Video from Photo β€” Turn Photos into Video Clips" description: > turn photos or images into animated photo videos with this skill. Works with JPG, PNG, WEBP, HEIC files up to 200MB. social media creators use it for turning still photos into shareable video clips β€” processing takes 30-60 seconds on cloud GPUs and you get 1080p MP4 files. metadata: {"openclaw": {"emoji": "πŸ–ΌοΈ", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}

Getting Started

> Send me your photos or images and I'll handle the AI video creation. Or just describe what you're after.

Try saying:

  • "turn three vacation photos in JPEG format into a 1080p MP4"
  • "turn these photos into a short video with smooth transitions and background music"
  • "turning still photos into shareable video clips for 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 , 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.

    AI Video from Photo β€” Turn Photos into Video Clips

    Send me your photos or 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 three vacation photos in JPEG format, type "turn these photos into a short video with smooth transitions and background music", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

    Worth noting: using fewer than 10 photos speeds up processing significantly.

    Matching Input to Actions

    User prompts referencing ai video from photo, 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.

    Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-video-from-photo, 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).

    Include Authorization: Bearer and all attribution headers on every request β€” 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 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 "turn these photos into a short video with smooth transitions and background music" β€” concrete instructions get better results.

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

    Export as MP4 for widest compatibility across social platforms.

    Common Workflows

    Quick edit: Upload β†’ "turn these photos into a short video with smooth transitions and background music" β†’ Download MP4. Takes 30-60 seconds 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 photos or images and I'll handle the AI video creation. Or just describe what you're after.

    Try saying:

  • "turn three vacation photos in JPEG format into a 1080p MP4"
  • "turn these photos into a short video with smooth transitions and background music"
  • "turning still photos into shareable video clips for 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 , 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.

    AI Video from Photo β€” Turn Photos into Video Clips

    Send me your photos or 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 three vacation photos in JPEG format, type "turn these photos into a short video with smooth transitions and background music", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

    Worth noting: using fewer than 10 photos speeds up processing significantly.