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.
Wan sits in PulseGate's Foundation models & chat category. It focuses on running large generative image models efficiently on consumer hardware using quantized GGUF formats. It is built as an open-source project for 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.
MonsterMMORPG builds and maintains Wan, and the product first shipped in 2023. Development happens publicly on GitHub with 2.7k stars and 45 commits in the last 90 days. Key capabilities include GGUF Quantization, Diffusers Support, and Image Generation.
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