drbaph / HiDream-O1-Image-FP8

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Model's Last Updated: May 10 2026
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Introduction of HiDream-O1-Image-FP8

Model Details of HiDream-O1-Image-FP8

HiDream-O1-Image — FP8 Mixed (ComfyUI)

This is the FP8 mixed-precision quantization of HiDream-O1-Image for use with ComfyUI . By quantizing to 8-bit floats, the model fits comfortably within ~10 GB of VRAM — making it accessible on 12 GB GPUs (RTX 3080/4070/4080, etc.) with minimal quality trade-off.

ComfyUI_temp_mtcyk_00010_

Custom ComfyUI Node: Saganaki22/HiDream_O1-ComfyUI

Screenshot 2026-05-10 005045


VRAM Requirements
Precision Approximate VRAM
BF16 17 – 20 GB
FP16 17 – 20 GB
FP8 Mixed (this repo) ~10 GB

This is the recommended variant for GPUs with less than 16 GB VRAM. Tested on 12 GB cards at 2048 × 2048 resolution.

What is FP8 Mixed? Weights are stored in float8_e4m3fn format. Sensitive layers (norms, embeddings, output heads) retain higher precision to preserve stability, hence "mixed." On CUDA-capable GPUs with Hopper or Ada Lovelace architecture (RTX 40xx, H100), FP8 compute is hardware-accelerated. On older GPUs, weights are dequantized on-the-fly — still saving VRAM, with a small speed penalty.


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-FP8 \
    --local-dir ComfyUI/models/diffusion_models/HiDream-O1-Image-fp8
3. Load in ComfyUI

Open ComfyUI and use the workflow provided in the custom node repository. Point the model loader to HiDream-O1-Image-fp8 .


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
  • 💾 FP8 Quantized — ~half the VRAM of full-precision variants, minimal quality loss

Model Variants
Repo Precision VRAM Inference Steps
drbaph/HiDream-O1-Image-BF16 BF16 17–20 GB 50
drbaph/HiDream-O1-Image-FP16 FP16 17–20 GB 50
drbaph/HiDream-O1-Image-FP8 (this repo) 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 FP8 quantization inherits the same license.


Links

Runs of drbaph HiDream-O1-Image-FP8 on huggingface.co

97.8K
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More Information About HiDream-O1-Image-FP8 huggingface.co Model

More HiDream-O1-Image-FP8 license Visit here:

https://choosealicense.com/licenses/mit

HiDream-O1-Image-FP8 huggingface.co

HiDream-O1-Image-FP8 huggingface.co is an AI model on huggingface.co that provides HiDream-O1-Image-FP8's model effect (), which can be used instantly with this drbaph HiDream-O1-Image-FP8 model. huggingface.co supports a free trial of the HiDream-O1-Image-FP8 model, and also provides paid use of the HiDream-O1-Image-FP8. Support call HiDream-O1-Image-FP8 model through api, including Node.js, Python, http.

HiDream-O1-Image-FP8 huggingface.co Url

https://huggingface.co/drbaph/HiDream-O1-Image-FP8

drbaph HiDream-O1-Image-FP8 online free

HiDream-O1-Image-FP8 huggingface.co is an online trial and call api platform, which integrates HiDream-O1-Image-FP8's modeling effects, including api services, and provides a free online trial of HiDream-O1-Image-FP8, you can try HiDream-O1-Image-FP8 online for free by clicking the link below.

drbaph HiDream-O1-Image-FP8 online free url in huggingface.co:

https://huggingface.co/drbaph/HiDream-O1-Image-FP8

HiDream-O1-Image-FP8 install

HiDream-O1-Image-FP8 is an open source model from GitHub that offers a free installation service, and any user can find HiDream-O1-Image-FP8 on GitHub to install. At the same time, huggingface.co provides the effect of HiDream-O1-Image-FP8 install, users can directly use HiDream-O1-Image-FP8 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

HiDream-O1-Image-FP8 install url in huggingface.co:

https://huggingface.co/drbaph/HiDream-O1-Image-FP8

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HiDream-O1-Image-FP8 huggingface.co Url

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