aigc-apps/VideoX-Fun

Health v2 · maintenance only

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2210 stars · 187 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

VideoX-Fun is a Python-based video generation pipeline built on Diffusion Transformer models (CogVideoX-Fun, Wan-Fun) that generates videos at arbitrary resolutions, durations, and FPS from text or images. It also supports training custom baseline and LoRA models for style and control transformations.

Use cases

• generate videos from text prompts
• create videos from a single image
• train a custom video generation LoRA
• control video generation with canny, depth, or pose conditions
• generate videos at arbitrary resolutions and frame rates
• predict start and end frame video interpolation
• build a talking digital human avatar

When to choose

• you need flexible-resolution AI video generation with pretrained DiT models
• you want to fine-tune or train your own video generation or LoRA models
• you need controllable video synthesis from conditions like pose or depth

When to avoid

• you need lightweight real-time video editing rather than generative AI video
• you lack a GPU or cannot afford heavy inference/training compute
• you only need simple video transcoding or cutting

Facets

library · maturity active

video-processing machine-learning deep-learning image-processing artificial-intelligence deep-learning image-processing windows python video-generation text-to-video image-to-video diffusion-transformer lora-training cogvideox wan aigc video linux gpu

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markdown · JSON · MCP: product_card(name="aigc-apps/VideoX-Fun")