SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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Updated
Sep 14, 2026 - Python
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
[ICLR 2026🔥] MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
Avernus API server and client for LLM, SDXL, FLUX, Qwen-Image, WAN, and Ace-Step inference and many other architectures.
Sana text to image, using diffusers, for Forge2 webui
NVIDIA's SANA-WM world model running natively on Apple Silicon via MLX. Camera-controlled video generation on a Mac, parity-tested against the PyTorch reference.
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Interactive Apple Silicon runtime for NVIDIA SANA-WM — walk the camera with WASD, or run an LLM-driven adventure game with SANA visuals. PyTorch MPS, no CUDA. Companion to junafinity's full-pipeline renderer.
This desktop application automates the process of preparing product images for import into Sana Commerce. It takes a CSV mapping file and a folder of raw images, then automatically renames, resizes, and optimizes the images to match your SKUs, ready for upload to the Sana File Manager.
Unofficial PyTorch reproduction for SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Local-only NVIDIA SANA Sprint image generation app with FastAPI backend and plain responsive frontend
Windows-friendly fork of NVlabs/Sana: PowerShell setup, no conda, runs on RTX GPUs out of the box. Adds environment_setup.ps1, triton-windows marker, and fcntl shim.
Your Sana.AI meeting transcripts, synced to your machine and searchable offline. An MCP server so AI agents can read and correct them, plus a terminal app for browsing them yourself.
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