SDXL will require even more RAM to generate larger images.An NVIDIA GPU with 6 GB of RAM (though you might be able to make 4 GB work).You may also simply install them separately, which is much easier.You can reuse the same Python environment and checkpoints to save on space if you want to use both ComfyUI and AUTOMATIC1111's WebUI.A minimum of 10 gigabytes free on your hard drive.Masking is a huge deal - it allows you to selectively apply the AI image generation to certain parts of the image without distorting other parts, a process typically called inpainting. These forks also contains various optimizations that should allow it to run on PCs with less RAM, built-in upscaling and facial capabilities using GFPGAN, ESRGAN, RealESRGAN, and CodeFormer, and masking. But, since it is an open source project, the community quickly created multiple user interfaces for it and began adding their own augmentations, including optimizations to minimize video ram ( VRAM) usage and build in upscaling and masking. It works, but it can be clunky, unintuitive, and it is a significant barrier to entry for people that would otherwise be interested. Traditionally, Stable Diffusion is installed and run via a command-line interface. The last point is really the important issue here. Related: Stable Diffusion Brings Local AI Art Generation to Your PC There are two critical differences that set Stable Diffusion apart from most of the other popular AI art generators, though: It understands thousands of different words and can be used to create almost any image your imagination can conjure up in almost any style. It was first released in August 2022 by Stability.ai. Stable Diffusion is an AI model that can generate images from text prompts, or modify existing images with a text prompt, much like MidJourney or DALL-E 2.
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