NVJOBAim v1.0

This is a model for generating crosshair assets. For stable diffusion.
My trained model for Stable Diffusion is a neural network model capable of generating images of crosshairs for video games. It is trained on a large dataset of crosshair images, which enables it to create new unique crosshairs based on the training data.
The model utilizes a deep generative architecture, which allows it to generate high-quality images with a high degree of accuracy and detail.
Game developers can use this model to generate their own custom crosshairs, which will allow them to create unique visual elements in their games and enhance the user experience. Thanks to this model, developers can save time and effort that would otherwise be spent creating each crosshair manually.
Stable Diffusion Parameters:
Sampling method - Euler a
Sampling steps - 30-80
Resolution - 768x768
CFG Scale - 12-15
Or
Sampling method - DPM++ 2M Karras
Sampling steps - 23-35
Resolution - 768x768
CFG Scale - 12-15
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
• nvjobaim, a crosshaired sight scope with a crosshaired sight, crosshair, aim, white background, intricate, complicated, black and white
• nvjobaim, a crosshaired with circle with a circular, crosshair, aim, white background, intricate, complicated, black and white
• nvjobaim, cross arrows, crosshair, aim, white background, intricate, complicated, black and white

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License

MIT License