> For the complete documentation index, see [llms.txt](https://hellobot.globalfurry.tv/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hellobot.globalfurry.tv/generative.md).

# Generative Commands

### `/dots`

**Description:** Generate an image with randomly placed coloured dots.

**Usage:** `/dots width:512 height:512 dot_diameter:8 num_dots:1000 bg_color:#ffffff overlap:true`

**Parameters:**

* `width`: Width of the image in pixels
* `height`: Height of the image in pixels
* `dot_diameter`: Diameter of each dot in pixels
* `num_dots`: Number of dots to generate (default 1000)
* `bg_color`: Hex code for background (e.g. #ffffff, or 'augy')
* `overlap`: Whether dots can overlap (`true` or `false`)

**Bot Reply Example:**

> 📎 Image file: `dots.png`

***

### `/waves`

**Description:** Generate a waves image with sine-wave stripes.

**Usage:** `/waves width:800 height:600 wave_amplitude:10 frequency:2 vertical_distance:50 color:blue overlap:false`

**Parameters:**

* `width`: Width of the image in pixels
* `height`: Height of the image in pixels
* `wave_amplitude`: Amplitude of the wave in pixels
* `frequency`: Number of sine wave cycles
* `vertical_distance`: Vertical spacing between each wave
* `color`: Color (red, green, blue, etc. or 'augy')
* `overlap`: Whether waves overlap (`true` or `false`)

**Bot Reply Example:**

> 📎 Image file: `waves_800x600_10_2_50_blue_false.png`

***

### `/predict`

**Description:** Predict a value based on a dataset or CSV.

**Usage:** `/predict target:6 dataset:'1,2; 2,4; 3,8; 4,16; 5,32'`

**Parameters:**

* `target`: The x-value to predict a y-value for
* `dataset`: Dataset as string (e.g. '1,2; 2,4')
* `csv_file`: Optional uploaded CSV file with x,y columns

**Bot Reply Example:**

> Based on the provided data, the predicted numeric value for 6 is approximately: 64.0`Processing time: 123 ms`

***

### /enhance

**Description:** Enhance an image using predefined filters or auto mode.

**Usage:** `/enhance image:<uploaded.png> mode:auto`

**Parameters:**

* `image`: The image file to enhance
* `mode`: Enhancement type: auto, remaster, remove\_lens\_flare, erase\_shadows, etc.

**Bot Reply Example:**

> 📎 Image file: `enhanced.png`\
> (if no change detected: 'Looks like no enhancement was needed.')

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