NVJOBAim v1.0. This is a model for generating crosshair assets. For stable diffusion.

This is a trained model for stable diffusion capable of generating crosshair images for video games. She trained on a large crosshair image dataset, which allows her to create new unique crosshairs based on the training data.

The model allows you to create high-quality images with a high degree of accuracy and detail.

Game developers can use this model to create their own custom crosshairs, allowing them to create unique visuals in their games and improve the user experience.

With this model, developers can save time and effort that would otherwise be spent manually creating each crosshair.

Stable Diffusion Parameters:

Sampling method - Euler a<br> Sampling steps - 30-80<br> Resolution - 768x768<br> CFG Scale - 12-15<br> Or<br> Sampling method - DPM++ 2M Karras<br> Sampling steps - 23-35<br> Resolution - 768x768<br> CFG Scale - 12-15<br>

For higher resolution use Hires. fix or upscale.

Prompts examples:

• nvjobaim, crosshair, aim, crosshaired sight scope, in a circle, white background, intricate, complicated, black and white<br> • nvjobaim, a crosshaired sight scope with a crosshaired sight, crosshair, aim, white background, intricate, complicated, black and white<br> • nvjobaim, a crosshaired with circle with a circular, crosshair, aim, white background, intricate, complicated, black and white<br> • nvjobaim, cross arrows, crosshair, aim, white background, intricate, complicated, black and white<br>

Negative prompts examples:

boring, simple, easy

🖤 Donate: paypal.me/nvjob

Examples

nvjob.github.io/ai