I recently upgraded to a powerful NVIDIA 4090 GPU, thinking it would solve all my AI video generation woes. But, to my surprise, generating a simple 5-second video at 720×1280, 81 frames, and 16 FPS with WAN 2.2 and Q4 GGUF models still takes me a whopping 15 minutes! 😩😩😩
I’ve even installed sageattention, which I thought would help speed things up. But no such luck. It’s frustrating, to say the least.
## Understanding the Problem
The issue here is not just about the processing power of my GPU. It’s about optimizing the workflow to generate high-quality videos efficiently.
## Possible Solutions
Here are a few potential solutions I’m exploring to speed up my workflow:
– **Model optimization**: Are there more efficient models that can achieve similar results without sacrificing quality?
– **Batch processing**: Can I process multiple frames or videos in parallel to reduce the overall generation time?
– **Hardware tweaks**: Are there specific settings or configurations on my GPU that can be optimized for AI video generation?
– **Software updates**: Are there newer versions of WAN or Q4 GGUF models that can take advantage of my GPU’s capabilities better?
## The Quest for Efficiency
I’m not alone in this struggle. Many of us are experimenting with AI video generation, and optimizing our workflows is crucial to produce high-quality content efficiently.
If you’ve faced similar issues or have discovered solutions that work for you, I’d love to hear about them in the comments below.
Let’s work together to speed up our AI video generation workflows and unlock the full potential of our hardware!