Skill: 954215110/video-generator-auto-post (version 1.1.0)

--- name: video-generator-auto-post description: Generate videos using local AI models (ComfyUI/Stable Video Diffusion) and auto-publish to social media platforms. Supports text-to-video, image-to-video, batch processing, and automated posting to Twitter, LinkedIn, Instagram, TikTok. license: MIT metadata: author: 小龙虾 (Little Lobster) homepage: https://clawhub.ai/users/954215110 tags: ["video", "ai-generation", "comfyui", "auto-post", "social-media", "stable-diffusion"] --- ## 🦞 小龙虾品牌 **Created by 小龙虾 AI 工作室** > "小龙虾，有大钳（前）途！" **Contact for custom services:** +86 15805942886 Need custom AI video workflows, automation setup, or bulk content generation? Reach out! --- # Video Generator + Auto Post Generate AI videos locally and publish them to social media platforms automatically. ## Requirements ### Hardware - **GPU:** NVIDIA RTX 3060 12GB or better (recommended) - **RAM:** 16GB+ system memory - **Storage:** 50GB+ free space on D: drive (recommended) ### Software - **ComfyUI Desktop** - Install from https://comfyui.org - **Python 3.10+** - For scripts - **Node.js 18+** - For CLI tools ## Quick Start ### Step 1: Install ComfyUI ```bash # Windows (winget) winget install Comfy.ComfyUI-Desktop # Or download from https://comfyui.org ``` ### Step 2: Install Video Models In ComfyUI Manager, install: - **Stable Video Diffusion (SVD)** - **AnimateDiff** - **ModelScope Text-to-Video** ### Step 3: Configure Output Paths (D: Drive) **Recommended:** Store videos on D: drive to save C: space Edit `comfyui/settings.json`: ```json { "output_directory": "D:/AI-Video-Studio/outputs", "model_path": "D:/AI-Video-Studio/models", "workflow_path": "D:/AI-Video-Studio/workflows", "auto_save": true } ``` **Or use command line:** ```bash ComfyUI.exe --output-directory "D:/AI-Video-Studio/outputs" --model-path "D:/AI-Video-Studio/models" ``` ### Step 4: Generate Your First Video 1. Open ComfyUI 2. Load "Text to Video" workflow 3. Enter your prompt 4. Click "Generate" 5. Wait 2-5 minutes (depends on GPU) ## Workflows ### Text-to-Video (SVD) **Best for:** Short clips (2-4 seconds), realistic motion ``` Prompt → SVD Model → Decode → Save MP4 ``` **Settings:** - Resolution: 1024x576 or 576x1024 - Frames: 25 - FPS: 6 - Motion bucket: 127 (adjust for more/less movement) ### Image-to-Video **Best for:** Bringing static images to life ``` Image + Prompt → SVD XT → Decode → Save MP4 ``` **Tips:** - Use high-quality source images - Add motion hints in prompt - Experiment with motion bucket (100-150) ### AnimateDiff (Longer Videos) **Best for:** 5-15 second animated clips ``` Prompt → Stable Diffusion XL → AnimateDiff → Save MP4 ``` **Settings:** - Context length: 16 frames - Context overlap: 4 frames - Model: mm_sd_v15_v2.ckpt ## Auto-Post to Social Media ### Platform Specifications | Platform | Max Duration | Aspect Ratio | Max File Size | |----------|-------------|--------------|---------------| | Twitter/X | 2:20 | 16:9, 1:1, 9:16 | 512MB | | TikTok | 10:00 | 9:16 | 287.6MB | | Instagram Reels | 1:30 | 9:16 | 4GB | | LinkedIn | 15:00 | 16:9, 1:1, 9:16 | 200MB | | YouTube Shorts | 1:00 | 9:16 | 128MB | ### Automated Posting Script See `scripts/auto-post.py` for automation. **Setup:** 1. Install dependencies: `pip install tweepy google-auth` 2. Configure API keys in `.env` 3. Run: `python scripts/auto-post.py video.mp4 --platforms all` ### Content Strategy **For each video:** 1. Generate 3-5 caption variations 2. Add relevant hashtags (5-10) 3. Schedule posts at optimal times 4. Engage with comments See `references/caption-templates.md` for examples. ## Batch Processing Generate multiple videos at once: ```bash # Using the batch script python scripts/batch-generate.py --prompts prompts.txt --output ./videos # Process 100 videos overnight python scripts/batch-generate.py --prompts prompts.txt --count 100 --queue ``` ## Optimization Tips ### Speed Up Generation 1. **Use FP16 precision** - 2x faster, minimal quality loss 2. **Reduce frames** - 16 frames instead of 25 for drafts 3. **Lower resolution** - 512x512 for testing, upscale later 4. **Batch multiple prompts** - Process in parallel ### Improve Quality 1. **Use better prompts** - Be specific about motion 2. **Adjust motion bucket** - Higher = more movement 3. **Add negative prompts** - Reduce artifacts 4. **Upscale output** - Use ESRGAN or similar ## Troubleshooting ### Out of Memory (OOM) **Fix:** - Reduce resolution - Decrease batch size to 1 - Close other GPU applications - Use `--lowvram` flag ### Slow Generation **Fix:** - Check GPU utilization (should be 90%+) - Update NVIDIA drivers - Use `--precision fp16` - Close background apps ### Poor Video Quality **Fix:** - Use more detailed prompts - Try different models (SVD vs AnimateDiff) - Adjust motion settings - Generate at higher resolution, then compress ## Scripts - `scripts/generate-video.py` - Single video generation - `scripts/batch-generate.py` - Batch processing - `scripts/auto-post.py` - Auto-publish to social media - `scripts/optimize-video.py` - Compress for platforms ## References - `references/prompt-guide.md` - Writing effective video prompts - `references/platform-specs.md` - Detailed platform requirements - `references/caption-templates.md` - Social media caption templates - `references/workflow-examples.json` - ComfyUI workflow examples ## Assets - `assets/default-workflow.json` - Basic text-to-video workflow - `assets/optimal-settings.json` - Recommended settings per platform - `assets/hashtag-lists.json` - Curated hashtag collections ## Commands / Triggers Use this skill when: - "Generate a video of..." - "Create AI video for social media" - "Auto-post this video to..." - "Batch generate videos from prompts" - "Optimize video for TikTok/Instagram" --- ## 📊 Performance Benchmarks (RTX 3060 12GB) | Task | Time | VRAM Usage | |------|------|------------| | SVD 25 frames | 2-3 min | 8-10 GB | | AnimateDiff 16 frames | 3-4 min | 7-9 GB | | Image-to-Video | 1-2 min | 6-8 GB | | Upscale 2x | 30-60 sec | 4-6 GB | --- _Ready to create viral AI videos? Let's go! 🦞🎬_


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