Stable Diffusion, an open-source model for generating images from text, has gained considerable attention in the field of AI-driven artistic creation. One of its notable capabilities is the Classifier-Free Guidance (CFG) scale, which plays a vital role in influencing the diversity and quality of the generated images. Mastering the effective utilization of this parameter can greatly enrich the user experience and elevate the output’s overall appeal.

What is CFG Scale?

The CFG Scale, also known as the Classifier-Free Guidance Scale, is a parameter within Stable Diffusion that governs the degree to which the generated image aligns with the user’s prompt or input image. It serves as a fine-tuning mechanism, enabling users to adjust the balance between maintaining fidelity to the original prompt and ensuring optimal output quality.

What’s Stable Diffusion CFG Scale Meaning?

In the context of Stable Diffusion, the CFG scale controls the level of resemblance between the generated image and the prompt or input image. A higher value for the CFG scale results in a closer match to the prompt, while a lower value produces higher-quality images that may deviate from the original prompt or image.

What does CFG Scale do in Stable Diffusion?

The CFG scale in Stable Diffusion operates in an inverse relationship with regards to fidelity and quality. When the CFG scale value is higher, the generated image aligns more closely with the input prompt or image, but this may come at the cost of reduced quality. On the other hand, a lower CFG scale value produces higher-quality images that may exhibit variations from the original prompt or image.

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How to Use Stable Diffusion CFG Scale?

  1. Platform Selection: Begin by choosing the platform where you want to use Stable Diffusion, such as DreamStudio, Lexica, or Playground AI.
  2. Registration or Login: If using DreamStudio or Playground AI, sign in with your Gmail or Discord account. For Lexica, no sign-in is required.
  3. Input Your Prompt: Once logged in, enter the idea or concept for which you want the AI to generate an image. If needed, you can use free prompt generators or GPT-3 to create a compelling prompt.
  4. Locate the CFG Scale Setting: After entering your prompt, find the CFG scale setting. In DreamStudio, look for the “CFG Scale” slider on the right-hand side. In Lexica, it is called “Guidance Scale” and can be found after clicking the “Generate” button. In Playground AI, find “Prompt Guidance” on the right-hand side.
  5. Adjust the CFG Scale Value: Modify the CFG scale value according to your requirements. A higher value makes the generated image align more closely with the prompt, but it may reduce the quality. A lower value produces higher-quality images, but they may differ from the original prompt.
  6. Generate the Image: After adjusting the CFG value, click “Dream” (DreamStudio) or “Generate” (Lexica or Playground AI). The AI will generate an image based on your prompt and the chosen CFG scale value.
  7. Experiment and Find the Optimal CFG Value: You may need to experiment with different CFG values to find the one that best meets your needs. Once you have determined the optimal CFG value, you can download and use the generated image.
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Remember, the optimal value of CFG varies depending on your requirements. Typically, a value between 7 and 11 yields the best results with minimal noise. However, if your prompt queries Stable Diffusion for something it has no prior knowledge of, you may need to adjust accordingly.

What is the Best CFG Scale for Stable Diffusion?

The ideal CFG value varies based on your specific needs. Generally, a value ranging from 7 to 11 produces the most satisfactory outcomes with minimal interference. Nevertheless, if your prompt seeks information from Stable Diffusion that it lacks prior knowledge of, you may have to make appropriate adjustments.


Understanding and utilizing the CFG scale in Stable Diffusion can greatly enhance your image generation experience. By modifying the CFG scale, you have the ability to regulate the level of resemblance between the generated image and your prompt, achieving a balance between fidelity and quality.