xiejunjie524
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handdraw-story-video
A tool that converts 7–9 hand-drawn story keyframes into a 35–45 second vertical video with progressive line art and color animation, configurable via JSON and renders with HyperFrames and GSAP.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It delivers up to ~1.97× faster video decoding with about 50% lower peak VRAM compared to the stock LTX-2.3 VAE, requires no extra Python dependencies, and integrates seamlessly with ComfyUI's existing VAE interface.
Who it is for
- ComfyUI users working with LTX-2.3 video generation
- Developers optimizing video workflow performance
- Researchers evaluating pruned VAE models
- Content creators seeking faster video output
Use cases
- Accelerating text-to-video decoding in LTX-2.3 workflows
- Enabling faster image-to-video encoding and decoding
- Running reproducible VAE decode benchmarks
- Replacing the stock LTX-2.3 video VAE in existing ComfyUI pipelines
Strengths
- No additional Python packages required
- Standard ComfyUI VAE output compatible with VAE Decode and tiled decode nodes
- Built-in benchmark node for reproducible performance measurement
- Explicit format validation and error messages for unsupported checkpoints
Considerations
- Only accelerates the LTX-2.3 video VAE; audio VAE and transformer remain unchanged
- Performance gains depend on GPU architecture, resolution, tiling, and dtype selection
- Manual model download and placement required; no automatic download
README quick start
Installation
Description
Native ComfyUI loader and benchmark nodes for the accelerated PrunaAI PrunaVAED LTX-2.3 video VAE.
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