Skill: gentleyo/video-generation-t2v-i2v (version 1.0.1)

--- name: video-generation description: AI Video generation toolkit — generate videos from text prompts or input images using multiple AI models (Veo 3.1, Veo 3, Seedance 1.5 Pro, Wan 2.5, Grok Imagine Video, etc.). Support both text-to-video and image-to-video generation. Use when users ask for video creation, AI video, text to video, image to video, animate image, video generation. --- # Video Generation Toolkit Generate AI videos from text prompts or images using 40+ models including Veo 3.1, Veo 3, Seedance 1.5 Pro, Wan 2.5, Grok Imagine Video, etc. ## Prerequisites **IMPORTANT**: This skill requires the [inference.sh CLI](https://inference.sh) to be installed and available in your PATH. The CLI provides access to 40+ AI video generation models. To install inference.sh: ```bash npm install -g @inference.sh/cli ``` Or visit https://inference.sh for installation instructions. ## Constraints - Always output absolute paths for generated files so the web UI can render them. - Web UI auto-renders local paths: output `.mp4/.mov` paths as plain text (NOT in code blocks or markdown links), so the UI can render a video player inline. Same for `.jpg/.png` → inline image. - Uploaded files arrive as `[附件: /absolute/path/to/file]` in the message. - For image-to-video, images must be accessible via public URL. Provide your own API key for ImgBB/SM.MS, or ensure images are already publicly accessible. ## Tool 1 — text_to_video.py (Text to Video) Generate video from text prompt. ``` python nanobot/skills/VideoGeneration/scripts/text_to_video.py [options] ``` | Flag | Description | |------|-------------| | `--prompt TEXT` | (required) Video description in English | | `--model NAME` | Model name, default `veo-3.1` | | `--duration N` | Video duration in seconds, default 5 | | `--width N` | Video width, default 1280 | | `--height N` | Video height, default 720 | | `--fps N` | Frames per second, default 24 | | `--save-dir DIR` | Output dir, default `./outputs/videos` | | `--timeout N` | Request timeout in seconds, default 600 | | `--dry-run` | Print request and exit | Available models: - `veo-3.1` - Google Veo 3.1 (recommended) - `veo-3` - Google Veo 3 - `seedance-1.5-pro` - Seedance 1.5 Pro - `wan-2.5` - Wan 2.5 - `grok-imagine-video` - Grok Imagine Video - `omnihuman` - OmniHuman Output JSON example: ```json { "ok": true, "downloaded_files": ["D:/project/.../outputs/videos/video_20260315_1.mp4"] } ``` ## Tool 2 — image_to_video.py (Image to Video) Generate video from input image. ``` python nanobot/skills/VideoGeneration/scripts/image_to_video.py [options] ``` | Flag | Description | |------|-------------| | `--image PATH` | (required) Input image path | | `--prompt TEXT` | (required) Video description in English | | `--model NAME` | Model name, default `veo-3.1` | | `--duration N` | Video duration in seconds, default 5 | | `--save-dir DIR` | Output dir, default `./outputs/videos` | | `--upload-service` | Image upload service (smms/imgbb), default imgbb | | `--api-token` | API token for image upload (REQUIRED for ImgBB, optional for SM.MS) | | `--timeout N` | Request timeout in seconds, default 1000 | | `--dry-run` | Print request and exit | Process: 1. Upload local image to cloud storage (SM.MS or ImgBB) **OR use a publicly accessible image URL** 2. Generate video using the image URL 3. Download and save locally **IMPORTANT**: For ImgBB, you must provide an API token via `--api-token` or set `IMGBB_API_KEY` environment variable. Get your free API key at https://api.imgbb.com/ Output JSON example: ```json { "ok": true, "downloaded_files": ["D:/project/.../outputs/videos/video_20260315_1.mp4"] } ```


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)