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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"]

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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!

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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

# 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:

{
  "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:

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:

# 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"

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📊 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

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Ready to create viral AI videos? Let's go! 🦞🎬