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drbaph/HiDream-O1-Image-BF16

🤗 On Hugging Faceimage-text-to-imagemit8.8B params18 GBsafetensors✓ HF checksums availableupdated today
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HiDream-O1-Image — BF16 (ComfyUI)

This is the BF16 conversion of HiDream-O1-Image for use with ComfyUI. Weights have been cast to bfloat16 for a balance of precision and memory efficiency.

!image

Custom ComfyUI Node: Saganaki22/HiDream_O1-ComfyUI

!Screenshot 2026-05-10 005045

VRAM Requirements

| Precision | Approximate VRAM |

| :--- | :---: |

| BF16 (this repo) | 17 – 20 GB |

| FP16 | 17 – 20 GB |

| FP8 Mixed | ~10 GB |

A GPU with at least 20 GB VRAM is recommended for comfortable use at full 2048 × 2048 resolution. 24 GB cards (RTX 3090/4090, A5000, etc.) will have no issues.

Quick Start — ComfyUI

1. Install the Custom Node

cd ComfyUI/custom_nodes
git clone https://github.com/Saganaki22/HiDream_O1-ComfyUI
pip install -r HiDream_O1-ComfyUI/requirements.txt

Or install via ComfyUI Manager by searching for HiDream O1.

2. Download the Weights

huggingface-cli download drbaph/HiDream-O1-Image-BF16 \
    --local-dir ComfyUI/models/diffusion_models/HiDream-O1-Image-bf16

3. Load in ComfyUI

Open ComfyUI and use the workflow provided in the custom node repository. Point the model loader to HiDream-O1-Image-bf16.

About HiDream-O1-Image

HiDream-O1-Image is a natively unified image generative foundation model built on a Pixel-level Unified Transformer (UiT) — no external VAEs, no disjoint text encoders. It encodes raw pixels, text, and task-specific conditions in a single shared token space, supporting:

  • Text-to-image generation up to 2,048 × 2,048
  • Instruction-based image editing
  • Subject-driven personalization (multi-reference IP)
  • Long-text and multilingual text rendering

At only 9B parameters it matches or exceeds much larger open-source DiTs and leading closed-source models. It debuted at #8 in the Artificial Analysis Text to Image Arena (2026-05-05).

Key Features

  • 🧬 Pixel-Level Unified Transformer — end-to-end on raw pixels, no VAE, no disjoint text encoder
  • 🎨 One Model, Many Tasks — T2I, editing, personalization, storyboard generation
  • 🧠 Reasoning-Driven Prompt Agent — built-in "thinking" agent that resolves layout and rendering before generation
  • 🖼️ Native High Resolution — direct synthesis up to 2,048 × 2,048
  • ⚡ 9B Parameters — performance parity with models many times larger

Model Variants

| Repo | Precision | VRAM | Inference Steps |

| :--- | :---: | :---: | :---: |

| drbaph/HiDream-O1-Image-BF16 (this repo) | BF16 | 17–20 GB | 50 |

| drbaph/HiDream-O1-Image-FP16 | FP16 | 17–20 GB | 50 |

| drbaph/HiDream-O1-Image-FP8 | FP8 Mixed | ~10 GB | 50 |

| HiDream-ai/HiDream-O1-Image | Original | — | 50 |

| HiDream-ai/HiDream-O1-Image-Dev | Original Dev | — | 28 |

Benchmark Results (from original model)

GenEval (compositional generation) — HiDream-O1-Image scores 0.90 overall at 9B params, second only to the 200B+ Pro variant and ahead of GPT Image 2 (0.89).

DPG-Bench (dense prompt alignment) — Overall score 89.83, ranking second behind the Pro variant.

HPSv3 (human preference) — Overall score 10.37, outperforming GPT Image 2 (10.21) and Nano Banana 2.0 (10.01).

License

The original HiDream-O1-Image model and code are released under the MIT License. This BF16 conversion inherits the same license.

Links