Model reference · open weights

OpenSora-STD-HQ-16x256x256

Available as managed deployment Embeddings hpcai-tech Embeddings 1 variants 15 dl/mo

OpenSora-STD-HQ-16x256x256 is an open-weight embedding model from hpcai-tech. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Makerhpcai-tech
TypeEmbedding models
TaskEmbeddings
Parameters (lead)760M
Runs withtransformers
Released2024-03-20
Popularity15 downloads / month
LicenceOpen weights

About

What OpenSora-STD-HQ-16x256x256 is

Open-Sora: Democratizing Efficient Video Production for All

We present Open-Sora, an initiative dedicated to efficiently produce high-quality video and make the model, tools and contents accessible to all. By embracing open-source principles, Open-Sora not only democratizes access to advanced video generation techniques, but also offers a streamlined and user-friendly platform that simplifies the complexities of video production. With Open-Sora, we aim to inspire innovation, creativity, and inclusivity in the realm of content creation.

More details can be founded at Open-Sora GitHub.

📰 News

  • [2024.03.18] 🔥 We release Open-Sora 1.0, a fully open-source project for video generation. Open-Sora 1.0 supports a full pipeline of video data preprocessing, training with ColossalAI acceleration, inference, and more. Our provided checkpoints can produce 2s 512x512 videos with only 3 days training. [blog]
  • [2024.03.04] Open-Sora provides training with 46% cost reduction. [blog]

🛠 Usage

You can launch this video generation with this model in a Gradio application.

# git clone Open-Sora
git clone https://github.com/hpcaitech/Open-Sora.git
cd Open-Sora

# launch gradio
python scripts/demo.py --model-type v1-HQ-16x256x256

If you want to use this STDiT model in code,

from transformers import AutoModel

stdit = AutoModel.from_pretrained("hpcai-tech/OpenSora-STDiT-v1-HQ-16x256x256")

Do note that this model alone cannot generate video, it should work alongside a vae model and a text encoder model like how we did in the demo.

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys opensora-std-hq-16x256x256 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (opensora-std-hq-16x256x256 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"opensora-std-hq-16x256x256","input":"text to embed"}'

Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.

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