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Last updated: June 19, 2025, 17:48 | Written by: Linda Xie

Ever wondered how Stable Diffusion transforms your text prompts into stunning visuals?The secret lies in a powerful parameter called the CFG scale. AI画像生成ツールは現在「Stable Diffusion Web UI」をはじめいくつか出回っていますが、どれも「CFGスケール」という設定を持っています。これはいったい何なのでしょう？ Stable Diffusion Web UIにもあるCFGスケール設定これは一体何？ CFGスケールの大ざっぱな説明Short for Classifier-Free Guidance scale, this setting acts as a crucial dial, influencing how closely the AI adheres to your instructions. CFGスケールは、Stable Diffusionモデルで使用される重要な設定の一つです。このスケールは、生成される画像がどれだけ入力されたプロンプトや画像に似ているか、すなわち忠実度を調節する役割を持っています。It's the key to balancing creative freedom with precise control, allowing you to shape the generated image to match your vision. The CFG scale in stable diffusion tells the software how closely you want it to follow the prompt. It might sound like you want to keep the guidance scale at the highest value, but it will actually have negative effects on your image generation if you do.Whether you're aiming for photorealistic landscapes or whimsical character designs, mastering the CFG scale is essential for unlocking the full potential of Stable Diffusion.

But what exactly is the CFG scale, and how does it work its magic? Stable Diffusionにおける画像生成には、CFGスケール、Sampling Steps、およびSampling Methodという3つの重要な要素が深く関わっています。これらの要素の相互作用は、生成される画像の品質とスタイルに大きな影響を及ぼします。In essence, it determines the 'strictness' with which Stable Diffusion interprets your prompt.A lower CFG scale grants the AI more creative license, resulting in images that might deviate from your intended concept but often exhibit unique and unexpected artistic flair.Conversely, a higher CFG scale compels the model to follow your prompt more rigidly, prioritizing accuracy and detail.This delicate balance between fidelity and improvisation is what makes the CFG scale such a vital tool for artists and creators alike.

This comprehensive guide will delve deep into the intricacies of the CFG scale, exploring its impact on image generation, providing practical tips for adjusting it effectively, and answering frequently asked questions.Whether you're a seasoned Stable Diffusion user or just starting your AI art journey, understanding the CFG scale will undoubtedly elevate your creations and unlock a world of artistic possibilities. Dynamic-Thresholding(CFG Scale Fix)は、Stable Diffusionの便利な拡張機能の一つです。CFG Scaleを大きくしても破綻はなくなります。是非この機能を活用して、イメージ通りの画像を生成してみてください。Let's dive in!

What is CFG Scale in Stable Diffusion?

In Stable Diffusion, CFG scale, or Classifier-Free Guidance scale, is a setting that controls how closely the image generation process follows your text prompt. We hope our guide helped you understand the CFG scale/guidance scale parameter in Stable Diffusion, and you'll use what you've learned to create something amazing. Frequently Asked Questions What is CFG scale in Stable Diffusion? The guidance scale affects how much the image generation follows your text prompt. What guidance scale should I use?It acts as a guiding force, influencing the balance between adhering to the prompt and allowing the AI to improvise and add its own creative touches.Think of it as a volume knob for your prompt; turning it up makes the AI listen more intently, while turning it down gives it more room to explore.

The CFG scale works by blending two versions of the Stable Diffusion model: a ""prompt-aware"" version that focuses on your text input and a ""prompt-agnostic"" version that essentially ignores it.The CFG scale determines the weighting of these two models.A higher CFG scale emphasizes the prompt-aware model, resulting in an image more closely aligned with your description.A lower CFG scale, conversely, gives more weight to the prompt-agnostic model, leading to a more creative and potentially less predictable output.

How Does the CFG Scale Work?

To understand how the CFG scale works, let's break down the concept of Classifier-Free Guidance.Traditional diffusion models often relied on classifiers to guide the image generation process. CFG (classifier-free guidance) tells Stable Diffusion how much guidance to use from your text prompt when generating an image. Most interfaces default the CFG scale to 7-8, which is a nice balance. You don t want the CFG scale to be too high, it will just overcomplicate the image as the AI attempts to render every single word as a detail.However, these classifiers could sometimes introduce biases or limit the model's creative potential. Classifier-free guidance (CFG) is a fundamental tool in modern diffusion models for text-guided generation. Although effective, CFG requires high guidance scales, which has notable drawbacks: Mode collapse and saturation; Poor invertibility; Unnatural, curved PF-ODE trajectoryClassifier-Free Guidance eliminates the need for a separate classifier, allowing the model to generate images directly from the text prompt.

The CFG scale then acts as a control mechanism within this classifier-free framework. The above images were generated in Stable Diffusion at various CFG scale values. As you can see, the fidelity increases with the CFG values. The images with the CFG value of 1 and 3 are nowhere near the face of Tom Cruise.By adjusting the CFG scale, you're essentially influencing how much the model should ""listen"" to your prompt.A higher value tells the model to prioritize the prompt, while a lower value encourages it to explore alternative interpretations and generate more novel images.

This process can be visualized as a weighted average of two outputs: one generated with the prompt and one generated without it. An In-depth Look at Stable Diffusion CFG Scale. Now let s take a closer look at how the CFG scale relates to stable diffusion and its impact on image quality. The Relation between Stable Diffusion and CFG Scale. The relation between stable diffusion and CFG scale is crucial in achieving high-fidelity output images.The CFG scale determines the weights assigned to each output, effectively controlling the level of guidance provided by the prompt.It's a clever and efficient way to steer the diffusion process and achieve the desired balance between fidelity and creativity.

Understanding CFG Scale Values and Their Impact

The numerical value of the CFG scale is typically a floating-point number ranging from 0 to 30, although some interfaces may allow for even higher values. Pero para usar la escala de manera m s efectiva, puede seguir la demostraci n a continuaci n sobre c mo usarla en Stable Diffusion. Parte 2. C mo usar la escala CFG en difusi n estable. En esta demostraci n, puede comenzar a experimentar con CFG en DreamStudio o Playground. Sin embargo, hay m s opciones disponibles para usted, como laEach range of values has a distinct impact on the generated image, influencing its fidelity, detail, and overall artistic style.Let's explore these ranges in more detail:

CFG Scale 1-3: At these low values, the AI has significant freedom and creativity.The resulting images may only loosely resemble the prompt and can be unpredictable.This range can be useful for generating abstract art or exploring unexpected visual concepts, but it's not recommended for achieving accurate representations.
CFG Scale 4-7: This is a good starting point for many prompts, offering a balance between fidelity and creativity. In Stable Diffusion, CFG stands for Classifier Free Guidance scale. CFG is the setting that controls how closely Stable Diffusion should follow your text prompt. It is applied in text-to-image (txt2img) and image-to-image (img2img) generations. The higher the CFG value, the more strictly it will follow your prompt, in theory.The AI will generally follow the prompt but still has room to add its own artistic flair.This range is suitable for generating stylized images, character concepts, and other creative visuals.
CFG Scale 7-12: This is often considered the sweet spot for achieving a good balance between prompt adherence and image quality.The AI will follow the prompt closely while still maintaining a degree of creative freedom.This range is suitable for generating realistic images, detailed landscapes, and other visuals where accuracy is important.
CFG Scale 12-15: At these higher values, the AI becomes more rigid and focuses primarily on satisfying the prompt. 大家好！我是Stable Diffusion中文网的小编，今天为大家介绍一项常用参数 CFG Scale提示词相关性。在使用Stable Diffusion进行图像处理时，CFG Scale是一个非常重要的参数，它与提示词的匹配程度息息相关。接下来，我们将详细解释CFG Scale的含义和与采样器之间的关系。The resulting images will be highly detailed and accurate but may lack the artistic flair and originality of lower CFG scale values. Prompt: A modern smartphone picture of a man riding a motorcycle in front of a row of brightly-colored buildings. Settings: Rendered using various steps and CFG values, Euler a for the sampler, no manual VAE override (default VAE), and no refiner model.This range is suitable for generating photorealistic images or replicating existing artwork.
CFG Scale 15+: Extremely high CFG scale values can lead to over-complication and artifacts in the image.The AI may attempt to render every single word in the prompt as a separate detail, resulting in a cluttered and unnatural-looking image. Dynamic-Thresholding(CFG Scale Fix)とは、CFG Scaleの数字を大きくしても画像を破綻させることなく、綺麗な画像を生成できるStable Diffusionの拡張機能になります。この機能を使用することで、よりプロンプトに忠実で品質が劣らない画像を生成できます。In some cases, it can also lead to mode collapse and saturation. What is CFG scale in stable diffusion? In Stable Diffusion, CFG stands for Classifier Free Guidance scale. CFG scale is a parameter that controls Stable Diffusion how 'strict' it should follow the prompt input in image generation. Lower CFG give the AI more freedom to be creative, while higher numbers force it to stick more to the prompt.It is generally not recommended to use CFG scale values above 15.

These ranges are not absolute and may vary depending on the specific Stable Diffusion model, the prompt itself, and other settings. CFG（Classifier-Free Guidance）用于控制Stable Diffusion在采样期间应遵循提示词的严格程度。几乎所有稳定扩散 AI 图像生成器都提供了此参数设置。今天我们重点来看看在Stable Diffusion中CFG参数相关内容。一. CFG是什么. 我们先以一个实例来看看CFG在不同参数值时的效果。However, they provide a useful guideline for understanding the general impact of different CFG scale values.

Practical Examples of CFG Scale in Action

To illustrate the impact of the CFG scale, let's consider a simple example prompt: ""A futuristic cityscape at sunset."" We'll generate images using different CFG scale values and observe the resulting variations.

CFG Scale 3: The image might be an abstract representation of a cityscape, with vibrant colors and unusual shapes that only vaguely resemble buildings.
CFG Scale 7: The image will likely depict a more recognizable cityscape, with clear buildings, roads, and a sunset sky.However, the AI may add its own creative touches, such as unusual architectural designs or fantastical elements.
CFG Scale 12: The image will be a highly detailed and realistic depiction of a futuristic cityscape, with accurate lighting, textures, and architectural details.The AI will primarily focus on satisfying the prompt and may not add any significant creative embellishments.
CFG Scale 18: The image could be over-processed, with unnatural colors and distorted details.The AI may have attempted to render every single detail mentioned or implied in the prompt, resulting in a cluttered and visually unappealing image.

These examples demonstrate how the CFG scale can significantly alter the style, detail, and overall quality of the generated image. The Classifier-Free Guidance (CFG) scale controls how closely a prompt should be followed during sampling in Stable Diffusion. It is a setting available in nearly all Stable Diffusion AI image generators. This post will teach you everything about the CFG scale in Stable Diffusion.By experimenting with different values, you can fine-tune the output to match your specific artistic vision.

How to Adjust the CFG Scale for Different Models and Prompts

The optimal CFG scale value can vary depending on the Stable Diffusion model you're using and the nature of your prompt.Some models may be more sensitive to the CFG scale than others, and certain prompts may require a higher or lower value to achieve the desired results.Here are some general guidelines for adjusting the CFG scale:

Start with a moderate value: A good starting point is a CFG scale of 7-10. In Stable Diffusion, CFG stands for Classifier Free Guidance scale. CFG scale is a parameter that controls Stable Diffusion how 'strict' it should follow the prompt input in image generation. Lower CFG give the AI more freedom to be creative, while higher numbers force it to stick more to the prompt.This range provides a good balance between fidelity and creativity for most prompts.
Adjust based on the prompt: Complex and detailed prompts may benefit from a higher CFG scale to ensure that all aspects of the prompt are properly rendered. The higher the number, the more you want it to do what you tell it. The lower the number, the more you're okay with it not following your prompt closely.Simpler prompts may work better with a lower CFG scale to allow for more creative freedom.
Experiment with different values: The best way to find the optimal CFG scale for a particular model and prompt is to experiment with different values and observe the resulting changes in the generated image.
Consider the model's characteristics: Some Stable Diffusion models are designed to generate photorealistic images, while others are more geared towards stylized or artistic outputs.Adjust the CFG scale accordingly to match the model's strengths.
Pay attention to image quality: If you notice artifacts, over-processing, or other image quality issues, try lowering the CFG scale.Conversely, if the image doesn't closely resemble the prompt, try increasing the CFG scale.

Addressing Common Problems with High CFG Scales

While a higher CFG scale can seem like the perfect solution for achieving strict adherence to prompts, it's important to be aware of potential drawbacks.

Over-Complication: As mentioned earlier, extremely high CFG scales can lead to the AI attempting to render every single detail, resulting in cluttered and unnatural-looking images.
Artifacts and Distortions: The increased emphasis on the prompt can sometimes cause the AI to generate unwanted artifacts or distortions in the image.
Mode Collapse and Saturation: In some cases, high CFG scales can lead to mode collapse, where the AI generates similar-looking images regardless of the prompt. Option 2: Install the extension stable-diffusion-webui-state. This will preserve your settings between reloads. Conclusion. And those are the basic Stable Diffusion settings! I hope this guide has been helpful for you. This is meant to be read as a companion to the prompting guide to help you build a foundation for bigger and better generations.Saturation, where the colors become overly intense and unrealistic, can also occur.

If you encounter these problems, consider lowering the CFG scale or adjusting other settings, such as the sampling steps or the prompt itself.

Dynamic Thresholding: Overcoming CFG Scale Limitations

Dynamic Thresholding is an innovative extension for Stable Diffusion that addresses the limitations of high CFG scale values. Stable Diffusionでイラスト生成する際には、いろんなパラメーターがありますが、今回はそのなかの一つであるCFG scaleについて説明します。 CFG scaleを変更することにより、かなりイラストの印象が変わるので、仕組みを知って使いこなせるようになると便利です。It allows you to use higher CFG scale settings without the typical image degradation, resulting in images that are both faithful to the prompt and of high quality. So when to use different CFG scale values? CFG scale can be separated into different ranges, each suitable for a different prompt type and goal. CFG 2 6: Creative, but might be too distorted and not follow the prompt. Can be fun and useful for short prompts; CFG 7 10: Recommended for most prompts. Good balance between creativity andBy dynamically adjusting the threshold for pixel values during the sampling process, Dynamic Thresholding prevents oversaturation and artifacts, allowing you to push the boundaries of prompt fidelity.

If you find yourself needing a higher CFG scale but are encountering image quality issues, installing and using Dynamic Thresholding could be the solution. This is a very good intro to Stable Diffusion settings, all versions of SD share the same core settings: cfg_scale, seed, sampler, steps, width, and height. These are the settings that effect the image.This extension is a valuable tool for achieving precise control over image generation without sacrificing visual quality.

Other Important Stable Diffusion Settings

The CFG scale isn't the only parameter that influences image generation in Stable Diffusion. Most of what I generate for fun benefits a ton from high steps high CFG. Like a potato with eyes for eyes. Nightmare fuel that needed both a high CFG and lots of steps to resolve. If all you want is pretty people or oil paintings sure CFG 7 or RNG luck works fine.Several other settings play a crucial role in shaping the final output. 想知道 Stable Diffusion 中 CFG 有啥用吗？本文将详细介绍 CFG 尺度如何控制在 Stable Diffusion 中进行采样时提示词被遵循的紧密程度，以及如何通过调整 CFG 值来获得更符合预期的图像。此外，文章还将探讨 CFG 比例并不是绝对的，不同模型可能需要不同的 CFG 值。Understanding these settings and how they interact with the CFG scale is essential for achieving optimal results.

Sampling Steps: The number of sampling steps determines how many iterations the diffusion process will run.More steps generally result in a more refined and detailed image but also take longer to generate. CFG Scaleとは. CFG Scaleとはプロンプト内容に従う強さのことです。. 数値を「1〜3」くらいにして低くすることで、プロンプト内容から離れた画像生成がされてクオリティも下がっていきます。Higher step counts often work well with higher CFG scale values to allow the AI more time to fully realize the prompt.
Sampling Method (Sampler): The sampling method determines the algorithm used to guide the diffusion process. In stable diffusion, the CFG scale refers to a parameter that influences the image generation process. It acts as a guidance scale, providing the match to prompts while maintaining image quality. The CFG scale value determines the level of guidance given to the model during image generation.Different samplers can produce different results, with some being better suited for certain types of images. CFG scale controls how closely a text prompt steers the diffusion process in Stable Diffusion AI image generators. Learn what CFG scale is, how it works, and how to adjust it for different models and prompts.Experimenting with different samplers can help you find the one that works best for your specific needs and chosen CFG scale.
Seed: The seed is a random number that initializes the diffusion process.Using the same seed will produce the same image (given the same settings). The Guidance Scale, also known as the Classifier-Free Guidance (CFG) scale, controls how closely Stable Diffusion adheres to the provided text prompt during the image generation process. In other words, it determines the extent to which the generated image reflects the input text. Impact of Guidance Scale on Image QualityThis can be useful for reproducing results or experimenting with small variations.
Prompt Engineering: How you phrase your prompt can significantly impact the generated image. See full list on decentralizedcreator.comExperimenting with different phrasing, keywords, and modifiers can help you achieve the desired results, regardless of your CFG scale.

Frequently Asked Questions About Stable Diffusion CFG Scale

What is the default CFG scale in Stable Diffusion?

Most Stable Diffusion interfaces default the CFG scale to a value between 7 and 8.This range offers a good balance between prompt adherence and creative freedom for most prompts.

What CFG scale should I use for photorealistic images?

For photorealistic images, a higher CFG scale value between 10 and 15 is often recommended. Classifier-Free Guidance (CFG) is a technique that blends two versions of the model: one that s paying attention to your prompt (prompt-aware) and one that s more or less ignoring it (prompt-agnostic). By mixing these together, you control how closely Stable Diffusion follows your prompt versus improvising on its own. Let s imagine yourThis will ensure that the AI prioritizes accuracy and detail.You might also want to explore Dynamic Thresholding to avoid the common pitfalls of a high CFG scale.

Can I use a negative CFG scale?

Some Stable Diffusion interfaces allow you to use a negative CFG scale. What is the CFG Scale in Stable Diffusion? CFG stands for Classifier-Free Guidance and the corresponding CFG scale serves as a guiding force during the image generation process in Stable Diffusion. It essentially controls the balance between: Fidelity to the input text prompt. Creativity infused into the final output imageThis can be used to invert the effect of the prompt, generating images that are the opposite of what you described.This technique can be useful for creative experimentation and generating unexpected results.

Does the CFG scale affect image resolution?

The CFG scale primarily affects the level of prompt adherence and the artistic style of the image.It doesn't directly affect the image resolution.However, higher CFG scale values may result in more detailed images, which can sometimes appear sharper or more defined.

How does CFG scale interact with negative prompts?

Negative prompts are used to tell Stable Diffusion what you *don't* want in the image.The CFG scale applies to both positive and negative prompts, influencing how strongly the AI avoids the elements specified in the negative prompt.A higher CFG scale will make the AI more diligent in avoiding those elements.

Conclusion: Mastering the CFG Scale for Stunning AI Art

The Stable Diffusion CFG scale is a powerful tool that gives you fine-grained control over the image generation process.By understanding how it works and experimenting with different values, you can unlock a world of artistic possibilities and create stunning AI art that perfectly matches your vision.

Remember these key takeaways:

CFG scale controls the balance between prompt adherence and creative freedom.
Lower values allow for more creative improvisation, while higher values prioritize accuracy.
The optimal CFG scale value depends on the model, the prompt, and your artistic goals.
Dynamic Thresholding helps overcome limitations of high CFG Scales
Experimentation is key to finding the perfect CFG scale for your needs.

Now that you have a solid understanding of the CFG scale, go forth and create something amazing!Don't be afraid to experiment, explore different values, and discover the unique possibilities that Stable Diffusion has to offer.Happy creating!