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FastVideo

A unified inference and post-training framework for accelerated video generation.

Betreuer@hao-ai-labS · adoptionBewertung

Paketprofil

Status
Überprüft
Verleger
@hao-ai-lab
Quelle
GitHub

README

FastVideo is a unified post-training and real-time inference framework for accelerated video generation.

NEWS

  • 2026/10/06: FastH3 V2 now runs on a single consumer machine: NVIDIA RTX 5090, RTX 4090 and RTX PRO 6000 GPUs, DGX Spark and Apple Silicon. We also release FastH3 Trim, an experimental pruned model that is 4.2× smaller than base H3 and runs in as little as 8 GB of GPU memory. Get the models and read the Blog.
  • 2026/10/06: FastVideo now supports Kandinsky 6 from Kandinsky Lab: text- and image-to-video with synchronized audio (base and 10-step distilled pi-Flow checkpoints) plus video super-resolution up to 4x. See the Kandinsky 6 recipes.
  • 2026/09/15: Release FastH3 8-Step V2, an eight-forward data-free DMD2 checkpoint distilled from MiniMax-H3 with 80% Video Sparse Attention. Run it with examples/inference/basic/basic_fasth3_8step.py or the FastH3 8-Step V2 recipe.
  • 2026/09/01: FastH3 now runs locally on Apple Silicon through MLX and on NVIDIA DGX Spark through CUDA 13, including two-Spark inference. Follow the FastH3 recipes and read the Blog.
  • 2026/08/27: FastH3 Preview v1 is an open-weight 4-step sparse-distilled MiniMax-H3 model for synchronized video-and-audio generation, developed in collaboration with Nuva Lab and the NVIDIA FastGen team. Download the recommended VSA / Data-Free weights, or see the full FastH3 collection.
  • 2026/08/19: FastVideo now supports MLX on Apple Silicon with FastMetal-QAD, a family of 1.3B, 5B, and 14B models optimized for Mac. Follow the MLX install guide and read the Blog.
  • 2026/06/23: Release FastWan-QAD: 5s of Video generated in 1.8s E2E. See the FastWan-QAD models, Attn-QAT training guide, and blog.
  • 2026/03/17: Release demo: Into the Dreamverse: Vibe Directing in FastVideo, check out the Blog.
  • 2026/03/13: Release demo: Create a 5s 1080p Video in 4.5s with FastVideo on a Single GPU, check out the Blog.
  • 2025/11/19: Release CausalWan2.2 I2V A14B Preview models, [Blog](https://hao-ai-lab.git

Knoten in diesem Paket

6 Knoten (Plural)
  • DITConfig
  • InferenceArgs
  • LoadImagePath
  • TextEncoderConfig
  • VAEConfig
  • VideoGenerator

Quellen

3 Quellen
GitHubQuelleVersion d4f144581d6882d5bceb288ca13d767c054ca041
github.com/hao-ai-lab/FastVideo

Verifiziert 20. Okt.

GitHubQuelle
github.com/hao-ai-lab/FastVideo

Verifiziert 5. Nov.

Quellenauszüge

1 Auszug

Source context: Repo hao-ai-lab/FastVideo