Wan_GGUF is a repository containing GGUF quantized model files for use with Diffusers and other inference frameworks. Created by Dr. Furkan Gözükara of SECourses, it enables efficient local image generation. The models support prompts for high-quality image synthesis and are optimized for various hardware configurations.
In the Quantised & converted weights space, Wan takes a focused approach. It focuses on running large generative image models efficiently on consumer hardware using quantized GGUF formats. Wan is an open-source project aimed at generative AI developers and researchers. Wan is open source under the GPL-3.0 license. It runs on the web, the command line, and API.
Behind Wan is MonsterMMORPG, and it first shipped in 2023. Development happens publicly on GitHub with 2.7k stars and 45 commits in the last 90 days. Among its 3 catalogued features are GGUF Quantization, Diffusers Support, and Image Generation.
Summary written by a language model from the project’s public pages.
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