ComfyUI Quantization Toolkit Supports W4A8: 40% Drop in VRAM Usage
External_Quarter · reddit · 2026-08-09
The ComfyUI Quantization Toolkit now supports W4A8 quantization and Torch Compile, allowing users to convert checkpoints on-the-fly. This update dramatically reduces VRAM requirements while preserving quality close to INT8.
Performance & Quality Metrics:
- Objective Benchmarks: W4A8 is about 15% slower than INT8 but nearly 40% lighter on memory.
- Subjective Experience: In Krea2 photographic image generation, details appear about 10-15% less defined. Whether prompt adherence has degraded is still under evaluation.
More from Infra
- AI Data Centers End Decades of Stagnant US Power Use, Challenging Anti-Growth Mindsets — AndyMasley · 2026-08-09
- Amazon's New Texas Data Center Power Plant Could Become a Top US Polluter — The Verge AI · 2026-08-09
- Upgrading to PyTorch 2.13 and CUDA 13 Doubles Video Resolution on Blackwell GPUs — Chemical-Bicycle3240 · 2026-08-09
- Training 10T Parameter Models Requires Over 50k GB300 GPUs — AccBalanced · 2026-08-09
- Amazon Data Centers Become the Biggest Pollution Source in the US — geox · 2026-08-09
- Matt Turck: Tech Industry Shouldn't Ignore Resistance to AI Data Centers — mattturck · 2026-08-09