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HiDream-I1-Full Image Generation Demo

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License: MIT

1. Tutorial Introduction

The HiDream-I1 project is an AI image generation model released by the HiDream.ai team in April 2025. It is a new open source image generation basic model. HiDream-I1-Full is an open source image generation model with 17B parameters. The other two versions are HiDream-I1-Dev (distilled development version) and HiDream-I1-Fast (fast version). HiDream-I1-Full has the best performance and can achieve industry-leading image generation quality in seconds.

This tutorial uses resources for a single card A6000.

👉 This project provides a model of:

  • HiDream-I1-Full: has 17B parameters and achieves state-of-the-art image generation quality in seconds.

Project Examples

2. Operation steps

1. After starting the container, click the API address to enter the Web interface

If "Bad Gateway" is displayed, it means the model is initializing. Since the model is large, please wait about 1-2 minutes and refresh the page.

2. After entering the webpage, you can start a conversation with the model

❗️Important usage tips:

  • Guidance Scale: It is used to control the influence of conditional input (such as text or image) on the generated results in the generative model. A higher guidance value will make the generated results closer to the input conditions, while a lower value will retain more randomness.
  • Num Inference Steps: Indicates the number of iterations of the model or the number of steps in the inference process, representing the number of optimization steps the model uses to produce the result. A higher number of steps generally produces more refined results, but may increase the computation time.
  • Seed: The random number seed is used to control the randomness of the generation process. The same Seed value can generate the same results (provided that other parameters are the same), which is very important in reproducing the results.

How to use

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Citation Information

Thanks to Github user xxxjjjyyy1  For the making of this tutorial.