> For the complete documentation index, see [llms.txt](https://fater.gitbook.io/fater-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://fater.gitbook.io/fater-ai-docs/reference-materials/parameter-glossary.md).

# Parameter Glossary

This glossary defines common parameters you'll encounter when configuring AI models in Fater. These settings allow you to fine-tune the generation process and are typically found in the **Left Sidebar** after selecting an AI model.

For detailed ranges, defaults, and specific behaviors for each AI model, please refer to the **AI Model Directory**.

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**Common Parameters:**

* **Prompt:**
  * **Definition:** The primary text description you provide to the AI, detailing the subject, scene, style, actions, and other attributes you want in the generated output.
  * **Applies to:** Most AI models (Image, Asset, Video generation & editing).
  * *(See also: Text Prompts & Negative Prompts)*
* **Negative Prompt:**
  * **Definition:** A text description of elements, styles, or qualities you want the AI to *avoid* generating.
  * **Applies to:** Many AI models.
  * *(See also: Text Prompts & Negative Prompts)*
* **Seed:**
  * **Definition:** A numerical value that initializes the random generation process. Using the same seed with identical prompts and parameters will produce the same result. A value of `-1` typically means a random seed.
  * **Applies to:** Almost all AI generation models.
  * *(See also: Seeds)*
* **Steps (Diffusion Steps / Iterations):**
  * **Definition:** Generally controls the number of refinement iterations the AI performs. More steps can lead to higher detail and coherence but increase generation time.
  * **Applies to:** Many image generation, editing, and upscaling models. The optimal range varies significantly per model.
* **Guidance Scale (CFG Scale / Prompt Adherence):**
  * **Definition:** Determines how strictly the AI should follow your text prompt. Higher values mean closer adherence; lower values allow more creative deviation.
  * **Applies to:** Many image and video generation/editing models. The effective range and impact vary per model.
* **Number of Generations:**
  * **Definition:** Specifies how many output variations the AI should produce from a single click of the "Generate" button, using the same core parameters (but typically different random seeds if the main Seed is set to -1).
  * **Applies to:** Primarily Image Editor models, some Asset/Video models.

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**Parameters Common in Image Editing & Inpainting Models:**

* **Style Type:**
  * **Definition:** Allows selection from predefined artistic styles (e.g., Realistic, Anime, Design) to influence the generated content. "AUTO" often lets the AI decide.
* **Destroy Fill Area Behind Mask:**
  * **Definition:** A boolean (Yes/No) setting. "Yes" means the AI completely ignores original pixels under a mask; "No" allows them to influence the inpainting. Relates to Denoising Strength.
* **Denoising Strength (or Image Strength / Creativity for Inpainting):**
  * **Definition:** Controls how much the AI alters existing pixels within a masked area (or a source image for image-to-image tasks). A value of 1.0 usually means full replacement; lower values preserve more of the original.
* **Mask Alpha Radius (Edge Blending):**
  * **Definition:** Determines the smoothness of the transition (transparency feathering) between AI-generated content and the original image at the mask's edges.
* **Mask Extra Radius (Generation Padding):**
  * **Definition:** The AI generates content slightly beyond the defined mask by this many pixels, which can help with seamless blending.

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**Parameters Common in Upscaling Models:**

* **Scale (Factor):**
  * **Definition:** A direct multiplier for the image dimensions (e.g., 2x, 4x).
* **Output Megapixels:**
  * **Definition:** The target final resolution of the upscaled image, specified in millions of pixels.
* **Creativity (for Upscaling):**
  * **Definition:** Controls how much new detail the AI is allowed to invent or hallucinate during the upscaling process.
* **Resemblance:**
  * **Definition:** Determines how faithfully the upscaled image should stick to the forms and structures of the original low-resolution image.
* **Sharpen:**
  * **Definition:** Applies an additional sharpening effect.
* **Dynamic (HDR):**
  * **Definition:** Influences the High Dynamic Range of the output.
* **Tile Size:**
  * **Definition:** An internal processing parameter affecting how the image is divided for upscaling. Can impact performance and potential artifacts.
* **Hand Fix:**
  * **Definition:** A boolean (Yes/No) to activate a specialized module for improving the rendering of hands and fingers.
* **Checkpoint:**
  * **Definition:** Allows selection of a specific underlying base model or training version for the upscaler.

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**Parameters Common in Video Generation Models:**

* **Duration:**
  * **Definition:** Sets the length of the generated video clip in seconds.

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This glossary provides general definitions. For the exact behavior, recommended ranges, and default values for parameters of a *specific AI model*, please consult its entry in the **AI Model Directory**.