Video Generation (t2v & i2v)

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 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.

text

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.

text

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"]
}