How to Use Stable Diffusion: Generate AI Images (2026)

快速入门

This guide covers every Stable Diffusion feature:

• 入门 — 创建账户和基本设置
• How to Use AI Image Editor — Edit and generate images from a text prompt using the stable diffusion model right in your browser
• How to Use Poster Design — Create eye-catching posters and marketing visuals using generative ai and image synthesis
• How to Use Film and Animation — Produce animated sequences and storyboard frames with the diffusion model
• 如何使用图像修复 — Modify specific parts of existing images without affecting the rest using image modification tools
• How to Use Prompts Search Engine — Discover proven prompts from other creators to generate high quality images faster
• How to Use E-commerce Marketing — Create product shots and marketing visuals for online stores using ai image tools
• How to Use Remove Image Background — Strip backgrounds from any photo instantly for clean product images and composites
• How to Use AI-Powered Image Upscaling — Enhance low resolution images to higher resolutions while preserving fine detail

所需时间： 每部影片 5 分钟

本指南还包含以下内容： 专业提示 | 常见错误 | 故障排除 | 定价 | 替代方案

为什么信任本指南

I’ve used Stable Diffusion for over a year and tested every feature covered here. This tutorial comes from real hands-on experience — not marketing fluff or vendor screenshots.

Stable Diffusion is one of the most powerful ai image generators 今天即可购买。

But most users only scratch the surface of what this diffusion model can do.

Yes, there is a steep learning curve — but this guide flattens it completely.

This guide shows you how to use stable diffusion for every major feature.

一步一步教你，附带截图和专业技巧。

Stable Diffusion Tutorial

This complete Stable Diffusion tutorial walks you through every feature step by step, from initial setup to advanced tips that will make you a power user.

稳定扩散

Generate stunning ai images from text prompts with full creative control. Stable Diffusion is the leading open-source latent diffusion model. Try it free today.

立即尝试稳定扩散 →

阅读完整评测 →

Getting Started with Stable Diffusion

使用任何功能之前，请先完成此一次性设置。

大约需要3分钟。

请先观看这段简短的概述：

现在让我们一步一步来。

第一步：创建您的帐户

Go to the Stable Diffusion website or DreamStudio by Stability AI.

Click “Sign Up” to begin.

请输入您的电子邮件地址并创建密码。

✓ 检查点： 检查你的 收件箱 请发送确认邮件。

步骤二：下载或访问应用程序

There are a few ways to run Stable Diffusion on any operating system.

You can easily install Automatic1111 or ComfyUI locally.

Or use DreamStudio in your browser — no download required.

这就是仪表盘的样子：

✓ 检查点： You should see the main dashboard with a prompt field.

步骤 3：完成初始设置

Select your preferred stable diffusion model from the checkpoint dropdown.

Stable Diffusion 1.5 and Stable Diffusion XL are popular choices.

Set your default resolution and sampler to match the model you chose.

How to Use Stable Diffusion AI Image Editor

AI Image Editor lets you Edit and generate images from a text prompt using the stable diffusion model right in your browser.

以下是使用步骤。

步骤 1：打开编辑器

Go to the Stable Diffusion web interface and select AI Image Editor.

You can easily install a local UI or use DreamStudio online.

步骤二：输入您的文本提示

Type a detailed text prompt that describes the output image you want.

Include style keywords and set your aspect ratio for best results.

这就是它的样子：

✓ 检查点： You should see a preview grid of images generated from your prompt.

步骤 3：生成并下载

Click Generate to create images from your text descriptions.

How to Use Stable Diffusion Poster Design

Poster Design lets you Create eye-catching posters and marketing visuals using generative ai and image synthesis.

以下是使用步骤。

Step 1: Choose a Template Size

Select your canvas dimensions or pick a standard aspect ratio.

Match the resolution to the stable diffusion model’s native training size.

第二步：撰写描述性提示

Enter a text prompt describing colors, layout, and theme.

Add negative prompts to exclude unwanted elements like blurry text.

这就是它的样子：

✓ 检查点： Your poster preview appears with the correct dimensions.

步骤 3：精炼和导出

Adjust CFG scale and sampling steps, then export the final poster.

How to Use Stable Diffusion Film and Animation

Film and Animation lets you Produce animated sequences and storyboard frames with the diffusion model.

以下是使用步骤。

Step 1: Set Up a Sequence

Define your starting frame with a reference image or text prompt.

Use the same seed value across frames for visual consistency.

Step 2: Configure Frame Parameters

Set frame count, step count, and denoising strength.

Lower denoising keeps the original image closer between frames.

这就是它的样子：

✓ 检查点： You should see a frame-by-frame preview of your animation.

Step 3: Render the Animation

Click Generate to produce the full animation sequence.

How to Use Stable Diffusion Inpainting

修复 lets you Modify specific parts of existing images without affecting the rest using image modification tools.

以下是使用步骤。

Step 1: Upload an Image

Load the original image you want to modify into the editor.

Stable Diffusion allows inpainting on any supported format.

Step 2: Mask the Target Area

Paint over the section you want to change with the mask brush.

Write a prompt describing what should replace the masked region.

这就是它的样子：

✓ 检查点： The masked region now shows the newly generated content.

Step 3: Run the Inpainting

Click Generate to fill the masked area with new content.

How to Use Stable Diffusion Prompts Search Engine

Prompts Search Engine lets you Discover proven prompts from other creators to generate high quality images faster.

以下是使用步骤。

步骤 1：打开搜索面板

Navigate to the Prompts Search Engine inside the interface.

This tool indexes thousands of tested text descriptions from the community.

Step 2: Search by Style or Subject

Type a keyword like portrait, landscape, or cyberpunk.

Each result shows the prompt, negative prompts, and settings used.

这就是它的样子：

✓ 检查点： You see a gallery of example images with their full prompt details.

Step 3: Copy and Customize

Copy a prompt, tweak it to match your vision, then generate.

How to Use Stable Diffusion E-commerce Marketing

E-commerce Marketing lets you Create product shots and marketing visuals for online stores using ai image tools.

以下是使用步骤。

第一步：上传您的产品照片

Load a product image as the input image for background replacement.

Use a clean product shot for the best results.

Step 2: Describe the New Scene

Write a text prompt describing the ideal background and setting.

Mention lighting, surface texture, and color scheme.

这就是它的样子：

✓ 检查点： Your product appears naturally placed in the described setting.

Step 3: Generate Product Visuals

Run the generation to place your product into the new scene.

How to Use Stable Diffusion Remove Image Background

Remove Image Background lets you Strip backgrounds from any photo 即刻 for clean product images and composites.

以下是使用步骤。

第一步：上传您的图片

Select the image you want to process from your device.

Works with portraits, products, and complex scenes.

Step 2: Run Background Removal

Click the Remove Background button to process.

The tool uses machine learning to separate foreground from background.

这就是它的样子：

✓ 检查点： You see your subject isolated on a transparent background.

Step 3: Download the Result

Save the transparent PNG for use in other projects.

How to Use Stable Diffusion AI-Powered Image Upscaling

AI-Powered Image Upscaling lets you Enhance low resolution images to higher resolutions while preserving fine detail.

以下是使用步骤。

Step 1: Upload a Low-Res Image

Load the image you want to upscale into the tool.

This fixes low resolution images from older cameras or web downloads.

Step 2: Choose Your Scale Factor

Select 2x or 4x upscaling depending on the target size.

The larger neural network reconstructs detail in the latent space.

这就是它的样子：

✓ 检查点： A side-by-side preview shows the improved image quality.

Step 3: Process and Save

Click Upscale and wait for the enhanced image to render.

Stable Diffusion Pro Tips and Shortcuts

After testing Stable Diffusion for over a year, here are my best tips.

键盘快捷键

大多数人错过的隐藏功能

• X/Y/Z Plot: Found under the Scripts dropdown — lets you compare different samplers, CFG values, or seeds in a single grid so you can fine tune your settings visually.
• Prompt Matrix: Use the pipe character (|) in your prompt to auto-generate every combination — great for testing style keywords without retyping.
• Dreambooth Training: Use Dreambooth for fine tuning a model on new data — upload 15-20 photos and the training process creates a personalized checkpoint tuned to your subjects.

Stable Diffusion Common Mistakes to Avoid

Mistake #1: Using Wrong Resolution

错误二：忽略负面提示

Mistake #3: Overloading the Prompt

Stable Diffusion Troubleshooting

Problem: Out of VRAM Error

原因： Your GPU does not have enough memory for the selected resolution.

使固定： Lower resolution to 512×512, enable –medvram or –lowvram flags, or use a lighter model. A GPU with at least 6GB of VRAM is needed.

Problem: Black or Blank Output Image

原因： The safety 检查器 flagged the prompt, or sampling steps were too low.

使固定： Disable the NSFW filter if using locally, increase steps to at least 20, and check that your text prompt is not triggering a block.

Problem: Slow Generation Speed

原因： Running on CPU instead of GPU, or using too many sampling steps.

使固定： Confirm GPU drivers are installed, use xformers for memory efficiency, and keep steps between 20-30 for a good balance.

📌 笔记： If none of these fix your issue, contact Stable Diffusion support or check the community forums.

什么是稳定扩散？

稳定扩散 is a text to image model and latent diffusion model that turns text descriptions into high quality images using artificial intelligence.

把它想象成一个数字 艺术家 that reads your text prompt and paints exactly what you describe.

The model was initially trained on 2.3 billion images from publicly available training data and uses a U-Net architecture for denoising.

It works through a diffusion process that starts with random noise and refines it into a clear image.

How stable diffusion works is it converts your prompt through a clip text encoder into a latent representation, then the model starts removing noise in the latent space until the final output image emerges.

The training process used 256 Nvidia A100 GPUs for 150,000 hours, and the model is available to non profit organizations and individual creators alike.

Developed by Stability AI, it remains the top open-source choice among generative models for image synthesis.

Previous versions include the initial release of v1.4 and v1.5, while Stable Diffusion XL introduced a larger cross attention context and a larger neural network for generating high quality images at higher resolutions.

The latest version, Stable Diffusion 3, uses a multimodal diffusion transformer architecture with 800 million to 8 billion parameters.

观看这段快速概览：

它包含以下主要特点：

• AI Image Editor: Edit and create images from any text prompt using the diffusion model
• Poster Design: Design posters and marketing materials with generative 人工智能工具
• Film and Animation: Produce animated sequences and storyboard frames from a single reference image
• 修复： Modify specific parts of existing images while keeping the rest intact
• Prompts Search Engine: Search thousands of community prompts to find proven text descriptions fast
• E-commerce Marketing: Create product photos and marketing visuals for online stores
• Remove Image Background: Strip backgrounds instantly for clean cutouts using machine learning
• AI-Powered Image Upscaling: Enhance low resolution images to higher resolutions with recovered detail

如需完整评测，请参阅我们的 Stable Diffusion review.

稳定扩散定价

Here’s what Stable Diffusion costs in 2026:

免费版： Yes — run locally at no cost or use DreamStudio free credits.

开源： Yes — download and run stable diffusion to generate unlimited images on your own hardware.

💰 性价比最高： Free plan — most users run Stable Diffusion locally with no subscription needed.

稳定扩散算法与替代方案

How does Stable Diffusion compare to other ai image generators?

快速精选：

• 综合最佳： Stable Diffusion — unmatched control and zero cost locally
• 最佳预算： Craiyon — completely free with no account needed
• 最适合初学者： Canva — drag-and-drop interface with built-in AI
• Best for artistic work: Midjourney — stunning painterly and stylized outputs

🎯 稳定扩散替代方案

正在寻找稳定扩散算法的替代方案？以下是一些最佳选择：

• 🚀 DALL-E 3： Conversational prompting through ChatGPT for fast text to image generation.
• 🎨 Adobe Firefly： Commercial licensing built into Creative Cloud for professional designers.
• ⚡ 莱昂纳多人工智能： Cloud-based generation with community models and a generous free tier.
• 👶 Canva： Drag-and-drop design with built-in AI generation for non-technical users.
• 🏢 重考人工智能 创作者： Focused on product photography with automated background generation.
• 📱 WOMBO 的《Dream》： Mobile-first art 发电机 with one-tap creation on any operating system.
• 🧠 Artbreeder: Blends images using sliders for portraits and character art creation.
• 💰 蜡笔： Free browser-based generator with no account required for quick tests.
• 🌟 深度梦境生成器： Applies artistic filters to photos using deep neural network visualization.
• ⭐ StarryAI： Mobile and desktop app with daily free credits and full ownership rights.
• 🔒 生成的照片： Produces realistic AI headshots for profiles and marketing projects.
• 🔧 DeepAI： API-focused generation for developers who need automated image creation.
• 💼 碧玉 艺术： Part of the Jasper marketing suite for teams creating branded visuals.
• 📊 Photosonic： Writesonic’s image tool for bloggers needing quick visual illustrations.
• 🎯 艾雅白： Turns photos into classic art styles like Renaissance and impressionist.
• 🔥 旅程中期： Discord-based generator known for stunning painterly and artistic outputs.
• 🌟 照片： Online photo editor with AI enhancement and batch processing tools.
• ⚡ Picsart: Social editing platform with AI filters and stickers for creators.
• 💰 德兹戈: Free browser interface running Stable Diffusion models without setup.
• 🎨 菲德拉: Simple AI art generator for quick creative outputs and social posts.

⚔️ 稳定扩散比较

以下是稳定扩散算法与各竞争对手的对比：

• 稳定扩散与 DALL-E 3： DALL-E 3 offers tighter prompt adherence. Stable Diffusion wins on local control and custom models.
• 稳定扩散对比 Adob​​e Firefly： Firefly is safer commercially. Stable Diffusion offers more flexibility and open-source custom models.
• 稳定扩散算法对比 Leonardo AI： Leonardo is easier to start. Stable Diffusion provides deeper control over every parameter.
• 稳定扩散 vs Canva： Canva is simpler for quick designs. Stable Diffusion produces more detailed images freely.
• 稳定扩散 vs 重夺 AI 创建器： Retake specializes in products. Stable Diffusion covers broader use cases beyond e-commerce.
• WOMBO 的稳定扩散 vs Dream： WOMBO is faster on mobile. Stable Diffusion delivers higher quality images with more control.
• 稳定扩散 vs Artbreeder： Artbreeder excels at blending. Stable Diffusion handles full scene generation and image modification.
• 稳定扩散与 Craiyon： Craiyon is zero-cost. Stable Diffusion produces far more realistic images at higher resolutions.
• Stable Diffusion vs Deep Dream Generator: Deep Dream focuses on filters. Stable Diffusion creates new images from scratch with text prompts.
• 稳定扩散 vs StarryAI： StarryAI is convenient on mobile. Stable Diffusion gives unlimited local generation.
• 稳定扩散与生成照片： Generated Photos specializes in faces. Stable Diffusion creates any subject type openly.
• 稳定扩散算法与深度人工智能算法对比： DeepAI has a simpler API. Stable Diffusion offers superior image quality locally.
• 稳定扩散与碧玉艺术： Jasper integrates with copywriting. Stable Diffusion is more powerful for standalone generation.
• 稳定扩散与光声： Photosonic is convenient for writers. Stable Diffusion produces more detailed images.
• 稳定扩散 vs AI Gahaku： AI Gahaku handles style transfers. Stable Diffusion covers all styles plus original image synthesis.
• 稳定扩散 vs 中途旅程： Midjourney creates beautiful art. Stable Diffusion is open-source with full local control.
• 稳定扩散与 Fotor： Fotor is better for quick edits. Stable Diffusion creates entirely new images from prompts.
• 稳定扩散对比 Picsart： Picsart suits 社交媒体. Stable Diffusion is stronger for serious generative ai work.
• 稳定扩散与 Dezgo： Dezgo runs the same models online. Local Stable Diffusion gives more speed and privacy.
• 稳定扩散与 Phedra： Phedra is minimal. Stable Diffusion offers far more features, models, and community support.

Start Using Stable Diffusion Now

You learned how to use every major Stable Diffusion feature:

• ✅ AI Image Editor
• ✅ Poster Design
• ✅ Film and Animation
• ✅ 补绘
• ✅ Prompts Search Engine
• ✅ E-commerce Marketing
• ✅ Remove Image Background
• ✅ AI-Powered Image Upscaling

下一步： 选择一项功能，立即试用。

Most people start with the AI Image Editor.

只需不到5分钟。

常见问题解答

Is Stable Diffusion free for personal use?

Yes. Stable Diffusion is open-source and completely free to run locally on your own hardware for personal projects.

稳定扩散需要哪些硬件？

You need a GPU with at least 6GB of VRAM, 16GB RAM, and Python 3.10.6 on any major operating system.

How does Stable Diffusion work for dummies?

It starts with random noise and removes it step by step using a trained diffusion model until a clear image appears from your text prompt.

Which version of Stable Diffusion should I use?

Use Stable Diffusion XL 1.0 for the best balance of quality and speed. The latest version, Stable Diffusion 3, is an 早期的 preview.

Can you run Stable Diffusion at home?

Yes. You can run Stable Diffusion locally on a desktop PC with a compatible GPU. Many users easily install it on Windows or Linux.