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Generation Techniques

Guidance Scale — What is it?

Guidance Scale controls how strictly generation adheres to the text prompt in diffusion models.

Detailed Explanation of Guidance Scale

Guidance Scale is one of the most directly controllable parameters in diffusion models. It represents the scale factor of the Classifier-Free Guidance (CFG) method and determines how closely the generated image will adhere to the prompt text.

Value ranges can be summarized as follows: 1-3 is low guidance (creative and varied but may deviate from the prompt), 5-8 is the recommended balance point (quality and prompt adherence at their best), 10-15 is high fidelity (follows the prompt strictly but may produce burnt or oversaturated appearance), and above 20 leads to extreme saturation and artificial results.

Different AI tools offer different default guidance values. For example, in Stable Diffusion the default is typically 7-7.5, while some models may produce better results at 4-5. Tools like Leonardo AI and ComfyUI present this parameter directly to users. Midjourney provides indirect guidance control through its --stylize parameter.

Practical tip: When trying a new prompt, start with the default value, then compare results by increasing and decreasing the guidance value by 2. Tools offering guidance scale control on tasarim.ai are especially preferred by professional users seeking fine-grained control over their outputs.

More Generation Techniques Terms

Text-to-Image

Technology that generates images from natural language text descriptions using artificial intelligence. The prompt written by the user is interpreted by the AI model and converted into an image.

Text-to-Video

Technology that generates video content from natural language text descriptions using artificial intelligence. It converts text prompts into moving, consistent frame sequences.

Image-to-Image

A technique that generates or transforms a new image using AI by referencing an existing image. The structure of the input image is preserved while style, content, or details can be modified.

Inpainting

A technique for regenerating or editing a specific area of an image by masking it with AI. Used for removing unwanted objects or modifying specific areas.

Outpainting

A technique that extends the boundaries of an existing image using AI. It enlarges the image by creating new areas that are consistent with the original content.

Upscaling

The process of enlarging low-resolution images using AI without quality loss or with quality enhancement. It differs from traditional resizing with its ability to add detail and sharpen.