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--- |
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library_name: HunyuanImage-2.1 |
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license: other |
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license_name: tencent-hunyuan-community |
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license_link: https://github.com/Tencent-Hunyuan/HunyuanImage-2.1/blob/master/LICENSE |
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language: |
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- en |
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- zh |
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tags: |
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- text-to-image |
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- comfyui |
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- diffusers |
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pipeline_tag: text-to-image |
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extra_gated_eu_disallowed: true |
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--- |
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<div align="center"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/5DZez8C7TeFwRn3FcKDix.png" alt="HunyuanImage-2.1 Banner" /> |
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<h1> HunyuanImage-2.1 fp8 e4m3fn </h1> |
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<h2>An Efficient Diffusion Model for High-Resolution (2K) Text-to-Image Generation</h2> |
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</div> |
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</div> |
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<div align="center"> |
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<a href="https://github.com/Tencent-Hunyuan/HunyuanImage-2.1" target="_blank"><img src="https://img.shields.io/badge/Code-black.svg?logo=github" height="22px"></a> |
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<a href="https://huggingface.co/spaces/tencent/HunyuanImage-2.1" target="_blank"> |
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<img src="https://img.shields.io/badge/Demo%20Page-blue" height="22px"></a> |
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<a href="https://huggingface.co/tencent/HunyuanImage-2.1" target="_blank"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg" height="22px"></a> |
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<a href="#" target="_blank"><img src="https://img.shields.io/badge/Report-Coming%20Soon-blue" height="22px"></a> |
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<a href="https://hunyuan-promptenhancer.github.io/" target="_blank"><img src="https://img.shields.io/badge/PromptEnhancer-bb8a2e.svg?logo=github" height="22px"></a> |
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<a href="https://x.com/TencentHunyuan" target="_blank"><img src="https://img.shields.io/badge/Hunyuan-black.svg?logo=x" height="22px"></a> |
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</div> |
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--- |
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## **Performance on RTX 5090** |
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> When using **HunyuanImage-2.1** with the **quantized encoder** + **quantized base model**, |
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> the VRAM usage on an **NVIDIA RTX 5090** typically ranges between **26 GB and 30 GB** with average |
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> 16 second inference time depending on resolution, batch size, and prompt complexity. |
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> **Reports that it works on 16gb VRAM GPU's** |
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⚠ **Important Note:** |
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The **refiner** is still not implemented and is **not ready for use in ComfyUI**. |
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However, the **distilled model now works in ComfyUI** with recommended settings of **8 steps / 1.5-2.5 CFG**. |
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--- |
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<p align="center"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/auZ_xmiKPw0QdBYUrTLn-.png" alt="Image1"/> |
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</p> |
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<p align="center"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/qod1zCPWjzOZSNcOWx49-.png" alt="Image2"/> |
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</p> |
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--- |
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## **Download Quantized Model (FP8 e4m3fn)** |
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[**Download hunyuanimage2.1_fp8_e4m3fn.safetensors**](https://huggingface.co/drbaph/HunyuanImage-2.1_fp8/blob/main/hunyuanimage2.1_fp8_e4m3fn.safetensors) |
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--- |
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### **Workflow Notes** |
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- **Model:** HunyuanImage-2.1 |
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- **Mode:** Quantized Encoder + Quantized Base Model |
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- **VRAM Usage:** ~26GB–30GB on RTX 5090 |
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- **Resolution Tested:** 2K (2048×2048) |
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- **Frameworks:** ComfyUI & Diffusers |
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- **Optimisations** Works with Patch Sage Attention + Lazycache / TeaCache ✅ |
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- **Distilled Model:** ✅ Now works in ComfyUI with **8 steps / 1.5-2.5 CFG** |
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- **Refiner:** ❌ Still not implemented, **not available in ComfyUI** |
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- **License:** [tencent-hunyuan-community](https://github.com/Tencent-Hunyuan/HunyuanImage-2.1/blob/master/LICENSE) |
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--- |
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<p align="center"> |
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🚀 **Optimized for High-Resolution, Memory-Efficient Text-to-Image Generation** |
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</p> |
