8bidoug
Maintainer: dribnet
1
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | No paper link provided |
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Model overview
8bidoug is a pixray tool for generating 24x24 pixel art images. It combines previous ideas from projects like Perception Engines, CLIP guided GAN imagery, and Sampling Generative Networks. 8bidoug is similar to other pixray models like pixray-tiler, pixray, pixray-api, and pixray-text2image created by the same maintainer, dribnet.
Model inputs and outputs
8bidoug takes in a text prompt and generates a 24x24 pixel art image. The main inputs are the text prompt, the color palette to use, and the border style. The output is an array of image URLs representing the generated pixel art.
Inputs
- Prompts: The text prompt that describes the desired pixel art image
- Palette: The color palette to use, such as "full color" or a limited palette
- Border: The border style to apply around the image, such as "none" or a specific color
Outputs
- Image URLs: An array of URLs pointing to the generated 24x24 pixel art images
Capabilities
8bidoug can generate a wide variety of pixel art based on text prompts, from abstract patterns to specific scenes and characters. The model's small 24x24 pixel output size makes it well-suited for use cases like game sprites, wallpapers, or small icons.
What can I use it for?
8bidoug could be used to quickly generate pixel art assets for indie games, platform games, or pixel art-inspired websites and applications. The ability to specify a prompt and palette makes it easy to generate custom pixel art on demand. Some potential use cases include:
- Prototyping pixel art game characters or environments
- Creating pixel art illustrations or icons for websites
- Generating pixel art backgrounds or patterns for digital art or design projects
Things to try
Try experimenting with different prompts to see the variety of pixel art 8bidoug can generate. You can also play with the palette and border options to achieve different aesthetic effects. For more advanced usage, the model can be integrated into your own Python code to generate pixel art programmatically.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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