This is a GGUF-quantized version of DiffusionGemma-26B-A4B-it released by Unsloth. It enables efficient local inference of a large diffusion model for generating images from text prompts. The model is optimized for reduced memory usage while maintaining generation quality, making advanced image generation accessible to developers without high-end GPU clusters.
In the Foundation models & chat space, Diffusiongemma 26B A4B It takes a focused approach. It focuses on running large diffusion-based image generation models efficiently on consumer hardware using quantized GGUF format. It is built as an open-source project for AI developers and researchers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Unsloth builds and maintains Diffusiongemma 26B A4B It, and it first shipped in 2023. Development happens publicly on GitHub with 68.7k stars and 1.2k commits in the last 90 days.
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