FLUX.2 [dev] (FULL - not Klein) works really well in ComfyUI now!
Users with 16GB GPUs can now run the powerful FLUX.2 dev model for superior character consistency in AI art.
A significant breakthrough in accessible AI image generation has emerged from the ComfyUI community. Recent low-VRAM optimizations added to the popular node-based workflow tool have unlocked the powerful FLUX.2 [dev] model for users with mid-range hardware, such as 16GB GPUs. Previously, the model was prone to crashing on such systems. This development, tested on an RTX 4060 Ti with 64GB of system RAM, means creators no longer need expensive, high-VRAM setups to experiment with one of the most capable open-weight models for a critical task: maintaining visual consistency.
While the FLUX.2 [dev] model remains significantly slower than its streamlined counterpart, FLUX.2 Klein (75 seconds vs. 15 seconds per generation), its primary value is unmatched character consistency. For projects requiring iterative edits on a character—like adjusting poses, clothing, or scenes—this model outperforms other free alternatives. The community has accelerated adoption by sharing a custom "8-step turbo" workflow on GitHub, which bundles necessary components to avoid performance hits from loading separate LoRA adapters. This workflow supports advanced features like multiple reference images, inpainting masks, and automatic color correction, creating a viable, free alternative to paid services for professional character design and editing.
- ComfyUI's new low-VRAM optimizations allow FLUX.2 [dev] to run on 16GB GPUs like the RTX 4060 Ti.
- The model provides the best character consistency across edits among open-weight models, a key need for artists.
- A shared custom 8-step turbo workflow on GitHub enables practical use with masking, multi-reference images, and color matching.
Why It Matters
Democratizes high-fidelity character art creation, giving indie developers and artists a powerful free tool for consistent visual storytelling.