nunchaku-flux.1-schnell
This repository contains Nunchaku-quantized versions of FLUX.1-schnell, designed to generate high-quality images from text prompts. It is optimized for efficient inference while maintaining minimal loss in performance.
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Context
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | fp16 | 13.8 GB | 15.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2025-07-17
- Base model
- FLUX.1-schnell
- Training datasets
- mit-han-lab/svdquant-datasets
- Added to our catalog
- 2026-09-04
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-to-image model