Abiray / HiDream-O1-Image-Dev-MXFP8

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Introduction of HiDream-O1-Image-Dev-MXFP8

Model Details of HiDream-O1-Image-Dev-MXFP8

HiDream-O1-Image-Dev (MXFP8)

Repository Notice: This repository hosts the MXFP8 ( hidream_o1_image_dev_mxfp8.safetensors ) quantized weights of the HiDream-O1-Image-Dev model.

About this variant:

  1. The Dev Model: The Dev version is a distilled, highly optimized variant of the base 8B model. It dramatically reduces required inference steps from 50 down to 28 steps , offering much faster generation times without sacrificing quality.
  2. The MXFP8 Format: Unlike standard globally scaled 8-bit quantization, MXFP8 uses Microscaling Formats (block-level scaling). This preserves significantly more dynamic range, keeping the image fidelity and text-adherence nearly identical to the uncompressed 16-bit model while still maintaining a reduced file size (~8.92 GB).

Hardware Note: Full hardware acceleration for MXFP8 is highly architecture-dependent and runs best natively on Hopper architectures like the H100.

For the official, uncompressed weights and source code, visit the original HiDream-O1-Image-Dev repository .


HiDream-O1-Image is a natively unified image generative foundation model built on a Pixel-level Unified Transformer (UiT) without external VAEs or disjoint text encoders, which natively encodes raw pixels, text, and task-specific conditions in a single shared token space — supporting text-to-image, image editing, and subject-driven personalization at up to 2,048 × 2,048.

Key Features
  • Distilled for Speed — The Dev model achieves top-tier quality in only 28 steps (compared to 50 steps for the base model).
  • 💎 Maximized 8-Bit Quality — Utilizing MXFP8 quantization ensures you get the absolute best visual fidelity possible at an 8-bit memory footprint.
  • 🧬 Pixel-Level Unified Transformer — One end-to-end model on raw pixels, no VAE, no disjoint text encoder.
  • 🎨 One Model, Many Tasks — Text-to-image, long-text rendering, instruction editing, subject-driven personalization, and storyboard generation in a single architecture.
  • 🧠 Reasoning-Driven Prompt Agent — Built-in "thinking" agent that resolves implicit knowledge, layout, and text rendering before generation.
  • 🖼️ Native High Resolution — Direct synthesis up to 2,048 × 2,048 with sharp fine-grained detail.
Usage & Installation

To use these Dev MXFP8 weights, you will need the original HiDream inference pipeline.

1. Install the Original Repository

Clone the official repository and install dependencies:

git clone [https://github.com/HiDream-ai/HiDream-O1-Image.git](https://github.com/HiDream-ai/HiDream-O1-Image.git)
cd HiDream-O1-Image
pip install -r requirements.txt

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