A unified inference and post-training framework for accelerated video generation.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
A unified framework for easy fine-tuning in Flow-Matching models
A general fine-tuning kit geared toward image/video/audio diffusion models.
Apple MLX native implementations of state-of-the-art generative image & video models
PTQ-Level Efficiency, QAT-Level Accuracy|训练后量化的效率,量化感知训练的精度
Official Training and Benchmarking Implementation of PDMD: Projected Distribution Matching Distillation for Video Diffusion Models
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Fast stable diffusion on CPU and AI PC
Scalable and memory-optimized training of diffusion models
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
a self-hosted webui for 30+ generative ai
HyperFlow: Video Rebirth's 8-step LoRA for MiniMax-H3 on the diffusers Modular Pipeline
MLX (Apple Silicon) port of MiniMax-H3 — 33B joint video+audio diffusion. Validated against the diffusers reference; AdaLN precompute drops 13B at inference.
Real-time talking character on a single RTX 5090 — LTX-2.5 22B + local LLM + TTS, fully local. First video ~2.6s after Enter.
AI watermark removal built for Apple Silicon. SynthID-class pixel regeneration, visible vendor labels and provenance metadata, with every pipeline decision measured on Metal.