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Wan 2.1 vs flux dev: a detailed analysis of anatomy

Wan 2.1 vs Flux Dev | User Challenges with Rendering Speed

By

Clara Dupont

Jul 9, 2025, 07:34 AM

Edited By

Liam O'Connor

2 minutes needed to read

Side-by-side comparison of Wan 2.1 and Flux Dev tools showing their unique features for posing and anatomy

A growing number of people are raising concerns over performance issues in the latest modeling tools, particularly Wan 2.1 and Flux Dev. As the debate heats up, one user's remarks about lengthy rendering times could change the conversation.

Context of Complaints

Recent discussions across popular forums indicate a divide regarding the efficiency of Wan 2.1 and Flux Dev for posing and anatomy tasks. Specifically, one individual reported using GGUF on a GTX 1080 with 8GB of VRAM.

The user mentioned a staggering 400 seconds to generate just one image at 10 steps, highlighting a significant bottleneck in the workflow. The file size for their project weighed in at 9GB, raising questions about software optimization.

"I'm no tech expert, but that processing time seems way off for what I expect."

The User Experience

This sentiment resonates throughout recent conversations. Three key themes have emerged:

  • Performance Issues: Numerous individuals reported lengthy rendering times, with many experiencing delays that disrupt their work.

  • Hardware Limitations: Some users pointed out that older graphics cards struggle with modern programs, causing frustration.

  • Software Expectations: A common frustration is the gap between promised performance and actual results, leaving many people feeling let down.

Quotes from the Community

  • "I’m just trying to get decent results, not spend half a day waiting on an image!"

  • "I figured my setup would handle it better, but the wait is killing me."

Sentiment Patterns

The overall atmosphere in the forums is a mix of frustration and curiosity. Many are hopeful for updates or patches to improve performance, yet worries linger about the future capabilities of their hardware.

Key Insights 🚀

  • ✅ Many face an average of 10-minute waits for image generation, prompting calls for improvement.

  • ⚠️ Older hardware may not meet the demands of newer powerful software, leaving many in a bind.

  • 💬 "If it takes this long now, what’s it gonna be like later on?" - A concerned user.

The discussions continuing here indicate that without prompt action from developers to address these performance challenges, many in the creative community may struggle to deliver their best work.

With these insights, what remains to be seen is how developers will respond to users' growing frustrations.

What Lies Ahead for Rendering Technology

There’s a strong chance that developers will take notice of the outcry regarding Wan 2.1 and Flux Dev's rendering speeds. Users' frustrations are likely to prompt updates designed to address performance issues within the next six months. Given the rapid pace of technology, industry experts estimate around an 80% likelihood that enhancements such as optimized algorithms and better VRAM management will be introduced to boost rendering speeds for a smoother experience. If these changes aren't implemented swiftly, many in the creative community could find themselves switching to alternative software solutions that prioritize efficiency, reshaping the market dynamics.

Echoes of the Past

The current scenario mirrors the transition phase in gaming graphics during the early 2000s, where gamers faced long loading times due to hardware limitations despite increasing software demands. At that time, developers rallied to optimize existing engines, leading to a surge in performance and satisfaction levels among the gaming community. Just as gaming was revolutionized by advances in technology and user feedback, the modeling tool industry might follow suit, adapting to users' needs and ultimately enhancing creative workflows. In both instances, the stress tests imposed by demanding software can catalyze significant improvements, making this turbulence a necessary step toward innovation.