DiffusionBee is a free, easy-to-use AI art generation tool for Mac computers. Powered by Stable Diffusion, a cutting-edge AI technology, DiffusionBee allows users to generate AI art with just a text prompt. DiffusionBee comes with all the features of Stable Diffusion, including Text to Image, Image to Image, In-painting, Out-painting, Upscaling, and Custom Models. All the generation takes place locally, so there are no limits or cloud-based communication. Additionally, an active community on Discord is available to help with any questions. DiffusionBee is compliant with the CreativeML Open RAIL-M license, so users are free to use generated images as they wish. DiffusionBee works with macOS 12.5.1 or higher, but machines with Apple silicon are recommended for optimal performance. DiffusionBee is a great tool for anyone who wants to quickly generate stunning AI art.
F.A.Q (20)
DiffusionBee is a free, easy-to-use AI art generation tool for Mac computers. It allows users to make AI art with just text prompts, harnessing the power of Stable Diffusion technology.
DiffusionBee utilizes Stable Diffusion, a type of AI technology, to convert text prompts into images. This process takes place entirely on the local machine.
DiffusionBee offers a plethora of cutting-edge features, such as Text to Image, Image to Image, In-painting, Out-painting, Upscaling, and the use of Custom Models. It also includes advanced options like negative prompt and diffusion steps.
Yes, DiffusionBee allows you to edit existing images. You can modify them using text prompts, add or remove objects in the selected region, and transform the entire scene.
In-painting and Out-painting are creative features of DiffusionBee. In-painting is used for adding or removing objects in a selected area of an existing image using a text prompt. Out-painting is used for expanding an image outwards using text prompts, which allows you to select a region in the canvas and add objects.
DiffusionBee has an Upscaling feature that leverages AI to automatically increase the resolution of the generated image, providing a higher-quality output.
Yes, DiffusionBee permits the use of external Stable Diffusion models. These custom models are trained on specific styles or objects and can be used via DreamBooth.
DiffusionBee provides advanced options for power users. These include the use of negative prompts and control over the diffusion steps.
Yes, DiffusionBee offers full data privacy as all the generation happens locally and nothing is sent to the cloud.
DiffusionBee has a vibrant active community on Discord where you can ask questions and get assistance.
Yes, you can freely use the images generated by DiffusionBee as long as you comply with the CreativeML Open RAIL-M license.
DiffusionBee works with macOS versions 12.5.1 or higher.
Yes, it is recommended to use Apple silicon-based machines for optimal performance with DiffusionBee.
Yes, you can use DiffusionBee on Intel-based machines. However, the performance might be slower compared to machines equipped with M1 chips, especially if you do not have a dedicated graphics chip.
On an 8GB M1 MacBook Air, DiffusionBee takes around 30 seconds to generate an image. However, the speed could be higher on machines with superior specs.
To generate AI art with DiffusionBee, all you need is a text prompt. Enter the text and DiffusionBee will generate images based on your instructions.
Yes, DiffusionBee provides tools that allow you to transform your images using text prompts. You can add or remove objects, change the style of the image, or alter the scene as per your text input.
To run DiffusionBee, you need a system running macOS 12.5.1 or higher. Ideally, machines with Apple silicon are recommended for best performance.
DiffusionBee was developed by Divam Gupta. You can follow him for updates on Github or Twitter
Yes, DiffusionBee is compliant with the CreativeML Open RAIL-M license.