ComfyUI Users Report Inpainting Difficulties with WAN 2.2 VACE Model

Reports from the ComfyUI community indicate significant challenges when attempting video inpainting with the WAN 2.2 VACE model. Users are experiencing difficulties achieving clean, coherent results that blend naturally with original footage. Key issues include prompt-driven generation inside the mask often appearing too dark, excessively neon or psychedelic, or failing to match the scene's aesthetic. Furthermore, a critical problem highlighted is the corruption of areas outside the mask, leading to an undesirable "plastic, waxy and fake" appearance in the surrounding footage.

These issues persist despite users employing standard troubleshooting methods, such as adjusting CFG, steps, strength, and denoise parameters. The VACE 14B model, used with static, manually painted masks, seems particularly prone to these inconsistencies. The community is actively seeking robust workflows to mitigate these problems, suggesting that current implementations or the model's capabilities in complex inpainting scenarios may require further refinement or specific methodological approaches.

For studios leveraging ComfyUI for advanced AI video production, this feedback on WAN 2.2 VACE inpainting performance is crucial. It signals potential bottlenecks in workflows requiring precise object removal or scene modification, necessitating increased iteration time or the exploration of alternative models and techniques. Buyers commissioning AI-driven video content that involves detailed inpainting should be aware of these reported limitations, factoring in the potential for extended production timelines or the need for studios to employ more robust, albeit potentially more resource-intensive, solutions.