---
license: apache-2.0
---

# FireRed-Image-Edit-1.0 Quantizations (FP8 & NVFP4)

This repository provides quantized versions of the **FireRed-Image-Edit-1.0** model, optimized for reduced VRAM usage while maintaining high performance. 

We provide weights in **FP8** and the cutting-edge **NVFP4** (Nvidia FP4) formats, making it easier to run this powerful image editing model on a wider range of hardware.
Original source (about the model): https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.0

## Available Versions

| File Name | Format | Size | Description |
|-----------|--------|------|-------------|
| `FireRed-Image-Edit-1.0_FP8.safetensors` | FP8 | ~20.4 GB | Standard 8-bit quantization for balanced performance. |
| `FireRed-Image-Edit-1_NVFP4.safetensors` | NVFP4 | ~11.6 GB | Highly compressed 4-bit format optimized for NVIDIA Blackwell/Ada architecture. |

## About FireRed-Image-Edit

FireRed-Image-Edit is a state-of-the-art model designed for precise and high-quality image editing based on textual instructions. By using these quantized versions, you can:
- **Reduce VRAM consumption** significantly (especially with the NVFP4 version).
- **Speed up inference** on compatible hardware.
- **Run the model on consumer GPUs** that might otherwise lack the memory for the full-precision weights.

## Usage

You can use these weights with popular frameworks like `ComfyUI` or `diffusers` (ensure you have the necessary libraries installed for FP8/FP4 support).

### Requirements
- For **NVFP4**: Requires latest NVIDIA drivers and hardware support (Ada Lovelace or newer recommended).
- For **FP8**: Compatible with NVIDIA 30nd/40th series and latest `torch`/`accelerate` versions.

## Installation

```bash
# Example: Download using huggingface-cli
huggingface-cli download Starnodes/quants --local-dir ./models/fire-red-quants