HPC-AI Tech

weights

open(Open_Sora_v2.safetensors downloads from hpcai-tech/Open-Sora-v2 without a gate

data

described(the training data is described in the technical report

code

open(the pretraining scripts (scripts/diffusion/train.py) and docs/train.md are published

license

Apache-2.0(the Open-Sora 2.0 weights and the repository)+Tencent-Hunyuan-Community-License(the HunyuanVideo VAE that every text-to-video and image-to-video config loads, redistributed in the Open-Sora-v2 repository, and code the LICENSE bundles

optional-pipeline

FLUX.1-dev-Non-Commercial-License(FLUX.1 [dev] weights sit in the same Hugging Face repository and the README's download command fetches them, but only the optional text-to-image-to-video pipeline uses them

Open-Sora 2.0's own weights and training code are Apache 2.0, but every text-to-video and image-to-video run loads a HunyuanVideo VAE whose license excludes the EU, UK and South Korea, which caps it at use_bounded. FLUX.1 [dev] weights under a non-commercial license sit in the same repository for an optional text-to-image-to-video pipeline; the direct text-to-video path does not load them, so they do not govern. The training data is described, not released.

• https://huggingface.co/api/datasets/hpcai-tech/open-sora-pexels-45k recorded 2026-09-27

  Dataset record for the Pexels sample: "disabled":true.

• https://huggingface.co/api/models/hpcai-tech/Open-Sora-v2?expand[]=downloads&expand[]=likes&expand[]=cardData&expand[]=gated&expand[]=lastModified&expand[]=createdAt recorded 2026-09-27

  Hugging Face API record for hpcai-tech/Open-Sora-v2: cardData license apache-2.0, gated false, created 2025-03-04.

• https://huggingface.co/api/models/hpcai-tech/Open-Sora-v2/tree/main recorded 2026-09-27

  File tree: Open_Sora_v2.safetensors, flux1-dev.safetensors, flux1-dev-ae.safetensors and hunyuan_vae.safetensors.

• https://huggingface.co/hpcai-tech/Open-Sora-v2/raw/main/README.md recorded 2026-09-27

  Card: "You can also run direct text-to-video by:" the 256px and 768px configs, and separately "with the help of flux text-to-image model, we build a text-to-image-to-video pipeline".

• https://raw.githubusercontent.com/hpcaitech/Open-Sora/main/README.md recorded 2026-09-27

  Model Download gives one command, "huggingface-cli download hpcai-tech/Open-Sora-v2 --local-dir ./ckpts", which fetches the whole repository, flux1-dev.safetensors included; Text-to-Video Generation says "To generate high quality videos, with the help of flux text-to-image model, we build a text-to-image-to-video pipeline" and lists direct text-to-video after it.

• https://ungh.cc/repos/hpcaitech/Open-Sora/files/main/configs/diffusion/inference/256px.py recorded 2026-09-27

  Inference config: type="hunyuan_vae", from_pretrained="./ckpts/hunyuan_vae.safetensors", with T5 and CLIP text encoders; no FLUX weights are loaded.

• https://ungh.cc/repos/hpcaitech/Open-Sora/files/main/docs/train.md recorded 2026-09-27

  docs/train.md: "we will use a 45k pexels dataset as an example."

• https://ungh.cc/repos/hpcaitech/Open-Sora/files/main/LICENSE recorded 2026-09-27

  LICENSE body: "Apache License" ... "Copyright 2024 HPC-AI Technology Inc.", followed by bundled third-party terms including "THIS LICENSE AGREEMENT DOES NOT APPLY IN THE EUROPEAN UNION, UNITED KINGDOM AND SOUTH KOREA".

• https://ungh.cc/repos/hpcaitech/Open-Sora/files/main/README.md recorded 2026-09-27

  README: "[2025.03.12] We released Open-Sora 2.0 (11B)" and "Fully open-source: checkpoints and training codes for training with only $200K."

Adoption is measured as Hugging Face downloads across the Open-Sora checkpoints, led by the 1.2 VAE and the 2.0 model. The project's GitHub following is far larger than its measured use.

• https://huggingface.co/api/models?author=hpcai-tech&search=Open-Sora&sort=downloads&direction=-1&limit=100 recorded 2026-09-27

  Listing of hpcai-tech Open-Sora repositories sorted by downloads: OpenSora-VAE-v1.2 1321, Open-Sora-v2 1194, OpenSora-STDiT-v3 438, the rest under 320 each; 3816 in all.

Open-Sora does not appear on the public video arena, where Mochi 1 places in the lower half. Its own report compares it with HunyuanVideo, but the map reads one public board per modality.

• https://artificialanalysis.ai/video/leaderboard/image-to-video recorded 2026-09-27

  The image-to-video leaderboard lists no Open-Sora entry.

• https://artificialanalysis.ai/video/leaderboard/text-to-video recorded 2026-09-27

  The text-to-video leaderboard lists no Open-Sora entry; "Mochi 1" (rank 73, Elo 1000) is on it.