tencent/Hy-Nomas

AI model by tencent

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

中文 ｜ English Hy-Nomas: Towards Free-Form Interactive World Generation 🚀 Try the Demo → Hy-Nomas is a video world generation model that supports free-form, multi-turn interaction through text instructions and camera control. It generates a world one video segment at a time, allowing users to introduce objects, change styles and scenes, describe actions, or control the camera as generation continues. The model combines a segment-wise autoregressive diffusion transformer (DiT), a Qwen text encoder, camera-conditioning modules, and a PixelUMM video decoder. A persistent key/value (KV) cache carries context between segments. The distilled inference configuration uses 8 denoising steps, with 720 × 1280 output at 24 FPS. A separate configuration supports video generation on a single NVIDIA GeForce RTX 4090 using INT8 DiT weights, an INT8 KV cache, an FP8 decoder, and CPU offload. We also release Hy-Nomas-Bench, a suite of four benchmarks with 280 test cases covering multi-turn free-form text interaction, camera navigation,…

tencent/Hy-Nomas on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T02:50:23.695Z

Inside the original model card — Document outline

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

tencent/Hy-Nomas is a task-unspecified model repository published by tencent on Hugging Face. The source reports the diffusion-single-file library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: Not reported
Library: diffusion-single-file
Recent downloads (30 days): 53,401
Cumulative likes: 127
Hugging Face trending score: 65
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-21T02:17:37.000Z
Last modified: 2026-10-28T06:28:38.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source