【SD3】超详细使用教程+效果测评 你想看的都在这里

AI小王子
12 Jun 202409:21

TLDR本期视频介绍了最新开源的Stable Diffusion 3（SD3）模型，它拥有20亿参数，是当前最先进的文本到图像的开放模型。视频详细讲解了如何下载和使用SD3，包括不同模型的下载路径和使用技巧。通过实际演示，展示了SD3在图像质量、真实度和细节处理上的进步，尽管手部和脚部的细节仍有提升空间。同时，对SD3的未来发展和潜在的80亿参数模型表示期待。

Takeaways

  • 😀 Stable Diffusion 3（SD3）是一款开源的文本到图像模型，拥有20亿参数，是迄今为止最先进的开放模型之一。
  • 🎉 SD3的medium模型已经可以在Lib Lib AI平台下载，未来还有更大参数的large模型，预计将有80亿参数。
  • 🔍 目前官方发布的底膜仅支持Confi UI使用，YBI适配还需等待。
  • 📚 官方底膜有四个版本，Lib Lib AI已经同步了两个，分别是4GB的最小模型和10GB的FP8精度模型。
  • 🚀 下载SD3模型后，需要将其放置在Comfy UI的根目录下的models/checkpoints目录中。
  • 🛠️ 如果使用的是基础模型，可能需要CLIP文本编码器辅助，可以从Hockey face下载。
  • 🌐 全球唯一一家支持YBI使用SD3的平台是Lib Lib AI的在线工具。
  • 🖼️ 使用SD3基础工作流可以生成高质量的图像，人物神态和细节表现出色。
  • 🔍 SD3在文字识别能力上表现出色，即使是复杂的关键词组合也能准确生成图像。
  • 🤔 尽管SD3在手部和脚部的细节处理上还有提升空间，但整体的图像质量和视觉冲击力有显著提高。
  • 🌟 Stability AI开放了高参数模型供免费使用，这在AI领域是一个巨大的进步，期待未来模型的进一步发展。

Q & A

  • Stable Diffusion 3是什么？

    -Stable Diffusion 3是一款基于文本到图像的AI生成模型，拥有20亿参数，是迄今为止最先进的开放模型之一。

  • Stable Diffusion 3的开源意味着什么？

    -Stable Diffusion 3的开源意味着用户可以免费使用这个模型，不再需要购买API，可以自行下载并应用。

  • Stable Diffusion 3的medium模型与XL模型相比有哪些进步？

    -与XL模型相比，Stable Diffusion 3的medium模型在图像质量、真实度、融合效果以及算力资源消耗等方面都有显著提升。

  • Stable Diffusion 3的large模型将拥有多少参数？

    -Stable Diffusion 3的large模型预计将拥有80亿参数，是medium模型参数的4倍。

  • 如何下载Stable Diffusion 3的官方大模型？

    -可以通过Lib Lib AI的模型平台搜索并下载Stable Diffusion 3的官方大模型，目前提供了不同大小的模型供用户选择。

  • 下载Stable Diffusion 3模型后如何使用？

    -下载后的模型需要放置在Comfy UI的根目录下的models/checkpoints目录中，如果使用的是基础模型，还需要文本编码器CLIP的辅助。

  • Stable Diffusion 3的YBI适配情况如何？

    -目前Stable Diffusion 3的YBI适配还在等待中，官方发布的底膜目前只支持Confi UI使用。

  • Stable Diffusion 3的模型下载速度如何？

    -根据视频描述，下载Stable Diffusion 3的模型可能需要几个小时，具体时间取决于网络和服务器情况。

  • Stable Diffusion 3在图像生成时对关键词的处理能力如何？

    -Stable Diffusion 3在图像生成时能够很好地识别和处理关键词，包括正面和反面关键词，以及复杂的语义元素。

  • Stable Diffusion 3在人物图像生成中有哪些不足之处？

    -尽管Stable Diffusion 3在图像质量上有显著提升，但在手部和脚部的处理上仍有改进空间，有时会生成不自然的结果。

  • Stable Diffusion 3的未来发展有哪些期待？

    -期待Stable Diffusion 3的未来发展能够解决手部和脚部的处理问题，并期待80亿参数的large模型能够带来更进一步的性能提升。

Outlines

00:00

🚀 Introduction to Stable Diffusion 3 Open Source Model

The video script introduces Stable Diffusion 3 (SD3), a cutting-edge open-source model that surpasses previous versions with its 20 billion parameters, focusing on text-to-image generation. The host, AI Little Prince, highlights the model's improvements in image quality, realism, and resource efficiency compared to the XL model. An upcoming 'large' model with 80 billion parameters is also teased. The script details where to download the model from Lib Lib AI and the process for using it with Comfy UI, emphasizing the need for a CLIP text encoder for smaller models. It also mentions the availability of the model on platforms like Bibibi AI and the anticipation of further developments in AI models.

05:01

🎨 Testing SD3's Image Generation Capabilities and Features

This section of the script delves into the hands-on testing of SD3's image generation capabilities. It discusses the model's performance using different base models and workflows, noting the显存 usage and the quality of the generated images. The script also explores the model's text recognition and semantic understanding abilities, demonstrating how it incorporates multiple elements from provided keywords into the generated images. Despite some noted issues with hand and foot rendering, the overall image quality and detail are praised. The host expresses gratitude for the open-source release and looks forward to future improvements, especially in the handling of limbs in generated images.

Mindmap

Keywords

💡Stable Diffusion 3 (SD3)

Stable Diffusion 3, often referred to as SD3, is a state-of-the-art AI model that excels in converting text descriptions into high-quality images. It is an open-source model that has been released to the public, eliminating the need for users to purchase API access. In the video, SD3 is highlighted as a significant advancement over previous models, with improved image quality, realism, and efficiency in resource consumption.

💡AI小王子

AI小王子 is the nickname of the video's presenter, who positions himself as an expert in AI and guides viewers through the capabilities and usage of the SD3 model. The term is used to establish the presenter's authority and to create a personal brand within the AI community.

💡Medium Model

The term 'Medium Model' in the context of SD3 refers to a version of the AI model that contains 2 billion parameters. It represents a balance between computational efficiency and image quality, making it suitable for a wide range of applications. The script mentions that this model is part of the SD3 family, which also includes larger models with more parameters.

💡Lib Lib AI

Lib Lib AI is mentioned as a platform where the SD3 model and related resources can be downloaded. It serves as a central hub for AI enthusiasts and developers looking to access and experiment with the latest AI models like SD3.

💡Comfy UI

Comfy UI appears to be a user interface or software application that is compatible with the SD3 model. It is used to manage and utilize the AI model for generating images, as indicated by the script's instructions on downloading models and using them within the Comfy UI environment.

💡Text-to-Image

Text-to-Image refers to the process by which AI models like SD3 interpret textual descriptions and generate corresponding images. It is a core functionality of SD3 and is central to the video's theme of demonstrating the model's capabilities.

💡FP8 and FP16 Precision

FP8 and FP16 refer to different floating-point precision formats used in AI models to balance between computational efficiency and model performance. The script mentions models that support these precisions, indicating that they are optimized for various hardware capabilities and use cases.

💡Sampling

In the context of AI image generation, sampling refers to the method by which the model generates the final image from the input data. The script mentions a specific sampling method, 'DPM++ 2MSCM uniform,' which is recommended by the SD3 developers for its effectiveness in producing high-quality images.

💡Semantic Recognition

Semantic Recognition is the ability of AI models to understand and interpret the meaning of words and phrases in a text description. The video script discusses testing this capability of SD3 by providing complex descriptions and evaluating the model's ability to render images that accurately reflect those descriptions.

💡Imagination and Visual Impact

Imagination and Visual Impact describe the creative and aesthetic qualities of the images generated by the SD3 model. The script praises SD3 for its enhanced ability to produce images with a strong sense of creativity and visual appeal, which is a key aspect of evaluating AI-generated art.

💡Parameter

In AI, parameters are the variables that the model learns during training. The number of parameters often correlates with the model's complexity and capability. The script mentions the SD3 'Large' model with 8 billion parameters, suggesting a higher potential for detailed and nuanced image generation compared to models with fewer parameters.

Highlights

Stable Diffusion 3（SD3）模型完全开源，无需购买API即可使用。

SD3是迄今为止最先进的文本到图像的开放模型，拥有20亿参数。

SD3的图像质量、真实度和融合效果相较于XL模型有显著提升。

未来将发布拥有80亿参数的SD3 Large模型，是Medium模型的四倍。

目前官方发布的底膜仅支持Confi UI使用，YBI适配还需等待。

Lib Lib AI平台已发布SD3的底膜，提供了不同大小的模型下载。

下载SD3模型后，需放置在Comfy UI的根目录下models/checkpoints目录。

使用小模型时需要CLIP文本编码器辅助，可从Hockey face下载。

Comfy UI启动器支持一键更新和启动SD3模型。

SD3提供三种工作流：基础工作流、多重提示词工作流和放大工作流。

使用SD3基础模型时，显存使用最高达到20GB。

SD3模型在文字识别能力上表现出色，能够准确生成带有文字的图像。

SD3的语义识别能力强，能够识别并融合多个元素到生成的图像中。

尽管SD3对手部和脚部的处理有所改进，但仍有提升空间。

SD3在画质、色彩和主体互动方面有显著提升，面部表情细节更加生动。

Stability AI免费开源SD3模型，降低了训练成本，促进了AI发展。

期待未来SD3 Large模型在手部和脚部处理上能有更多改进。

随着SD3底膜的发布，预计将有更多适配的模型和工具出现。