Lum1104/Understand-Anything+606 stars 24hREPO
anthropics/financial-services-plugins+396 stars 24hREPO
rohitg00/ai-engineering-from-scratch+331 stars 24hREPO
addyosmani/agent-skills+327 stars 24hREPO
colbymchenry/codegraph+327 stars 24hREPOLum1104/Understand-Anything+606 stars 24hREPOanthropics/financial-services-plugins+396 stars 24hREPOrohitg00/ai-engineering-from-scratch+331 stars 24hREPOaddyosmani/agent-skills+327 stars 24hREPOcolbymchenry/codegraph+327 stars 24hA diffusion model generates images, audio, or video by starting from random noise and iteratively denoising it toward a sample that matches a prompt.
A diffusion model is trained to reverse a process that gradually adds noise to data. At generation time it starts from pure noise and removes it step by step, usually guided by a text embedding, until a coherent sample emerges. This is the technique behind most modern open image and video generators.
Open-source diffusion ecosystems provide model weights, community fine-tunes, and pipelines you can run on your own GPU.
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer