HunyuanImage 2.1 | what matters

HunyuanImage 2.1 is a 17B text to image system built to deliver native 2K frames at 2048×2048 with fewer artifacts than typical 1K pipelines. It uses a two stage approach where a base model lays down structure and composition, then a refiner sharpens detail and cleans edges. The release also ships a PromptEnhancer that rewrites or augments your prompt so type, labels, and small UI read more clearly. For film work this helps when you need concept art, backgrounds, and style frames that drop straight into boards without a round of upscaling or cleanup. In early September 2025 the team followed with FP8 friendly builds that make 2K inference feasible on a single 24 GB GPU, which means many artists can test locally before moving to a render server. Treat it as a fast way to reach presentable stills that match lens, time of day, palette, and typography notes.

Why filmmakers should care

Native 2K saves time. You avoid an upscale step and the soft edges that often creep in when you stretch 1K art to editorial sizes. The PromptEnhancer and the refiner together reduce common failure modes like broken lettering, warped signage, and smeared micro detail, which means fewer paint fixes in compositing and a closer match to the look you had in mind. For key art and pitch decks you can hold smaller text without rebuilding it in a design tool. For set dressing and props you can keep a style bible in the prompt and iterate materials or decals while staying consistent across a shot list. The result is not a final matte painting, but it is a strong starting point that lets departments agree on direction and move faster to shots that matter.

Quick facts

• Model size: 17B
• Output: 2048×2048 native images
• Pipeline: base model plus refiner with a PromptEnhancer step
• FP8 support: enables 2K on roughly 24 GB GPUs for local tests
• Tooling: ComfyUI workflows and example graphs included

Availability and license

HunyuanImage 2.1 is posted on the official GitHub and on Hugging Face with a complete model card and files. The model card lists the Tencent Hunyuan Community License. That license allows broad testing and many commercial uses but it is not the same as a permissive open source license. Read the license carefully before deployment. Some Hunyuan releases include territory limits or scale thresholds for very large products. Confirm the exact terms on the current model page and route questions through legal if you ship across regions.

System notes and workflows

Plan on a modern CUDA stack and a 24 GB GPU for FP8 2K inference. Start with lower resolution or distilled variants for fast prompt tuning, then run the refiner to reach full 2K once you like the composition and palette. The ComfyUI workflows make it easy to slot the model into an existing node graph. For local testing use FP8 and CPU offload where possible to fit memory budgets. Save seeds, prompts, and version info so frames are reproducible. When working with typography include font intent and layout hints in the prompt to help the enhancer do its job.

How to get started

1. Clone the repository and read the README and the LICENSE.
2. Pull the weights from the official model card.
3. Run a low res pass to dial the scene and color, then enable the refiner for 2K.
4. Turn on the PromptEnhancer for frames that include titles, labels, or UI.
5. Export to PNG or EXR and collect frames into your board or lookbook.

Sources

• Official page: https://hunyuan.tencent.com/image/en?tabIndex=0
• GitHub repository: https://github.com/Tencent-Hunyuan/HunyuanImage-2.1
• Hugging Face model card and files: https://huggingface.co/tencent/HunyuanImage-2.1