Hy-Nomas: Tencent's Free-Form Interactive World Generation Model

Tencent Hy-Nomas is a video world generation model that supports free-form, multi-turn interaction: it generates one segment of video at a time, allowing users to introduce objects, change styles and scenes, describe actions, or provide camera trajectories to control the viewpoint via text instructions during the generation process. The model consists of a segmented autoregressive DiT, a Qwen text encoder, a camera conditioning module, and a PixelUMM video decoder, using persistent KV cache to pass context between segments. This repository contains the distilled BF16 Diffusers weights; the example uses 4 denoising steps and outputs 704 × 1280 at 24 FPS.

Original Title: Hy-Nomas-Diffusers

Tencent Hy-Nomas is a video world generation model that supports free-form, multi-turn interaction: it generates one segment of video at a time, allowing users to introduce objects, change styles and scenes, describe actions, or provide camera trajectories to control the viewpoint via text instructions during the generation process. The model consists of a segmented autoregressive DiT, a Qwen text encoder, a camera conditioning module, and a PixelUMM video decoder, using persistent KV cache to pass context between segments. This repository contains the distilled BF16 Diffusers weights; the example uses 4 denoising steps and outputs 704 × 1280 at 24 FPS.

Why It Matters Transforming "world models" from merely observable to interactively modifiable while generating: adding objects, changing styles and scenes, describing actions, and controlling viewpoints all happen within a single generation process.

Hugging Face Likes 14 · Hugging Face Trending Score 0 · Hugging Face Downloads 154

License: Conditional Commercial Use · ComfyUI: Mentioned in Model Card · VRAM: ≈21 GB Estimated

Reasons

  • Hugging Face tencent account
  • ComfyUI: Third-party ComfyUI package: t8star/HY-Nomas-Comfy
  • Score 35 (freshness 0 / source 15 / heat 0 / comfy 4 / vram 4 / demo 5 / license 7)

Usage

  • Load using HyNomasModularPipeline from Diffusers; you can also try it first in the official Demo

Risks

  • The model card lists apache-2.0, but the original LICENSE text includes restrictions on region, scale, or usage; refer to the original text for authoritative terms
  • Programmatic VRAM estimation is approximately 21 GB (excluding offloading)

Open

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