Flux.2 Turbo: Merged Model Enables Efficient Quantization for ComfyUI
Published:Jan 6, 2026 00:41
•1 min read
•r/StableDiffusion
Analysis
This article highlights a practical solution for memory constraints in AI workflows, specifically within Stable Diffusion and ComfyUI. Merging the LoRA into the full model allows for quantization, enabling users with limited VRAM to leverage the benefits of the Turbo LoRA. This approach demonstrates a trade-off between model size and performance, optimizing for accessibility.
Key Takeaways
Reference
“So by merging LoRA to full model, it's possible to quantize the merged model and have a Q8_0 GGUF FLUX.2 [dev] Turbo that uses less memory and keeps its high precision.”