Tools, frameworks, and models for local AI
4 resources found for "Diffusione"
The node-based visual workflow for diffusion models: the standard for SDXL, FLUX, video and audio. Maximum flexibility, from simple to professional pipelines.
A 5.6B open-weights image model for text-to-image, single-reference editing and multi-reference composition in one model, with placement boxes in the prompt. Qwen3-VL-4B text encoder. In BF16 (11.1GB), FP8 and NVFP4 (5.3GB). FLUX Kommunity license (non-commercial + qualified-user exception).
326M-parameter autoregressive diffusion model for interactive real-time humanoid motion: online text prompts, kinematic constraints (root trajectories, keyframes, sparse poses) and sequences up to 8 seconds. Trained on Bones Rigplay 1 (27-joint Core skeleton, 20 fps), optimized for NVIDIA Ampere, Hopper and Blackwell GPUs. NVIDIA Open Model Agreement license, commercial use allowed. On Hugging Face since October 7, 2026.
Optimized fine-tuning framework for NVIDIA GPUs and Apple Silicon: custom CUDA matrices that cut memory usage and double training speed versus standard methods. Supports LLMs and diffusion models.
