Edited By
Lisa Fernandez
As users upgrade to top-tier GPUs like the RTX 4090, many are facing frustratingly long render times for video generation. One user reported it takes 15 minutes to create just a 5-second videoโdespite the promise of faster performance with new hardware.
The significance of this situation cannot be overstated. With advancements in technology, users expected more from their systems. Yet, the reality seems less optimistic.
Users have taken to various forums to discuss their experiences with video rendering using WAN 2.2 and Q4 GGUF models. The dissatisfaction centers around the perceived slow processing times, even with high-end hardware. Notably, many shared that the complexities of video resolution and model settings may be impacting their results.
Quality vs. Speed: Some users lament that prioritizing quality often results in long processing times. "In my experience, if you want good quality you can't speed it up too much," one user pointed out.
Resource Limitations: System RAM was noted as a critical factor. With insufficient memory, users risk their system sorting tasks slower than expected. One poster emphasized that they needed around "80GB of free physical RAM to run smoothly."
Model Selection Impact: Many suggested that using FP8 models instead of Q4 GGUF may significantly improve performance. A user noted, "The time drastically increases the larger the resolution."
"You should run it at FP8. You wonโt get the 20-30% speed ups from the 40/50 series on Q8," a user advises.
Responses ranged from frustration to hope, revealing a mixed sentiment among the community. Many individuals are eager for better workflows as they balance customization and output quality.
โณ Users report a 15-minute wait for a simple 5-second video.
โฝ Quality remains a high priority, but users are frustrated with render times.
โป "Craziest thing I upgraded to a 4090, and itโs still slow!" โ Popular comment in the discussion.
As technology evolves, so do users' expectations. It remains to be seen whether future updates or hardware improvements will address this ongoing dilemma. How can developers ensure that the high-end specs translate into real-world applications that meet usersโ needs?
Thereโs a strong chance that developers will focus on software optimizations as they work to narrow the gap between high-end specs and real-world performance. Experts estimate around 70% of users with advanced GPUs could see significant improvements over the next year, especially if updates address memory handling and model selection directly. As businesses invest more in AI and rendering technology, we may also witness hardware manufacturers adapt their products to better meet the demands of video creators. This could include specialized versions of GPUs designed specifically for rendering tasks, potentially reducing those frustrating wait times that currently plague users.
Consider the transition from dial-up internet to broadband in the early 2000s. Initially, users were overwhelmed with excitement over faster speeds but quickly became disillusioned when they faced varying performance based on their locations and service providers. Just as people had to navigate through choices and compromises while adjusting to new technology, video creators today find themselves in a similar boat. The thrill of upgrading to cutting-edge hardware holds promises, yet the reality remains tethered to the retrograde frustrations of system limitations and optimization hurdles.