菜单
Turn stories into highly consistent cinematic videos using a cloud-based image generation backend (Grok Imagine via fal.ai) and self-hosted LTX-2.3 FLF2V video generation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | story-to-video-cloud |
| version | 1.0.0 |
| description | Turn stories into highly consistent cinematic videos using a cloud-based image generation backend (Grok Imagine via fal.ai) and self-hosted LTX-2.3 FLF2V video generation. |
| triggers | ["cloud-video","story-to-video-cloud","grok-imagine"] |
This skill implements a cloud-integrated story-to-video pipeline. It uses Google ADK for structured orchestration, Grok Imagine via fal.ai for premium, reference-guided character sheets and shot generation, and LTX-2.3 (via ComfyUI) for First-to-Last Frame video generation.
python3 main.py --story "Your story content here" --name "story_output_dir_name"
ADK multi-agent story-to-video: vision-grounded LTX motion prompts, Grok refs, LTX 2.3 I2V.
Publish AI-generated videos from a Google Sheet queue to YouTube and Instagram. Instagram Login API (graph.instagram.com), token exchange, Drive via gws. Use when publishing final_film.mp4 to social channels from Hermes VPS agents.
Turn story manifests into scene images using agent-composed prompts (prompt.json) and config-driven workflow templates. Supports model swapping (Qwen, HiDream, etc.) without code changes. Covers character sheet generation (Gemini or ComfyUI T2I fallback), prompt composition, batch scene generation, and vision-based evaluation (OpenRouter Gemini 3.1 Flash Lite with thinking tokens, or Gemini API fallback).
Parse ComfyUI workflow JSONs, extract all required models (UNET, CLIP, VAE, LoRA, checkpoints) and custom node packs, research download URLs via HuggingFace CLI (never download!), and generate self-contained provisioning-ready bash scripts for $REPO_ROOT/workflows/setup/. Scripts must be platform-aware (Vast.ai + RunPod) and end with a ComfyUI restart.
Turn stories into highly consistent cinematic videos using a deterministic 9-step pipeline orchestrated by Google ADK and wave execution.
Turn story manifests into highly consistent cinematic videos using a 3-stage model chain: Ideogram 4 (T2I) for scene still generation and character sheets, Flux Klein 9B (I2I) for character consistency editing (edit pass), and LTX 2.3 FFLF Seed Hunter for video generation. Utilizes the batch-wave model with automated quality evaluation gates.