One-click deployment of Stable Diffusion 3.5 Large

Tutorial Introduction

该教程仅需 RTX 4090 即可启动。

Stable Diffusion 3.5 is a series of advanced AI image generation models released by Stability AI in 2024, which represents a major advancement in open source AI image generation models. This series includes multiple versions of the model to meet the needs of different user groups, including scientific researchers, enthusiasts, startups, and enterprises.

Stable Diffusion 3.5 provides three sizes of models: Large, Large Turbo, and Medium. The Large model has 8 billion parameters and is suitable for professional application scenarios with megapixel resolution; Large Turbo is a streamlined version of Large that can quickly generate high-quality images; the Medium model has 2.5 billion parameters and is designed to run on consumer-grade hardware, balancing quality and ease of customization.

Another notable feature of the Stable Diffusion 3.5 series of models is their customizability. When developing these models, Stability AI placed special emphasis on the importance of personalized adjustments, allowing users to easily fine-tune the models according to their specific needs. This flexibility not only provides artists and designers with a broad creative space, but also provides developers with the possibility of building customized workflows. In addition, the diversity and inclusiveness shown by these models when generating images is also a highlight. They can generate images representing different cultural backgrounds and characteristics, greatly enriching the application scenarios of AI image generation. From 3D modeling to photography, from painting to line art, Stable Diffusion 3.5 can simulate almost any imaginable visual style, providing users with unlimited creative possibilities.

This tutorial uses the Stable Diffusion 3.5 Large model, which is a multimodal diffusion generator (MMDiT) text generation image model, which features significant improvements in image quality, typography, complex prompt understanding, and resource efficiency. Its large scale of 8 billion parameters provides professional-level image generation capabilities, which is particularly suitable for high-resolution image generation needs. It is a multimodal diffusion generator that uses three pre-trained fixed text encoders and uses QK regularization to improve training stability.

How to run

1. 在该项目右上角点击「克隆」，随后依次点击「下一步」即可完成：基本信息> 选择算力> 审核等步骤。最后点击「继续执行」即可在个人容器内开启本项目。

2. 等待容器资源分配完成后，可直接使用平台提供的 API 地址进行操作页面的访问（需要提前完成实名认证，此步无需打开工作空间）

3. 输入文本提示，点击 Run

4. 生成结果

Discussion and Exchange

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