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| # Hybrid Inference | |
| **Empowering local AI builders with Hybrid Inference** | |
| > [!TIP] | |
| > Hybrid Inference is an [experimental feature](https://huggingface.co/blog/remote_vae). | |
| > Feedback can be provided [here](https://github.com/huggingface/diffusers/issues/new?template=remote-vae-pilot-feedback.yml). | |
| ## Why use Hybrid Inference? | |
| Hybrid Inference offers a fast and simple way to offload local generation requirements. | |
| - 🚀 **Reduced Requirements:** Access powerful models without expensive hardware. | |
| - 💎 **Without Compromise:** Achieve the highest quality without sacrificing performance. | |
| - 💰 **Cost Effective:** It's free! 🤑 | |
| - 🎯 **Diverse Use Cases:** Fully compatible with Diffusers 🧨 and the wider community. | |
| - 🔧 **Developer-Friendly:** Simple requests, fast responses. | |
| --- | |
| ## Available Models | |
| * **VAE Decode 🖼️:** Quickly decode latent representations into high-quality images without compromising performance or workflow speed. | |
| * **VAE Encode 🔢:** Efficiently encode images into latent representations for generation and training. | |
| * **Text Encoders 📃 (coming soon):** Compute text embeddings for your prompts quickly and accurately, ensuring a smooth and high-quality workflow. | |
| --- | |
| ## Integrations | |
| * **[SD.Next](https://github.com/vladmandic/sdnext):** All-in-one UI with direct supports Hybrid Inference. | |
| * **[ComfyUI-HFRemoteVae](https://github.com/kijai/ComfyUI-HFRemoteVae):** ComfyUI node for Hybrid Inference. | |
| ## Changelog | |
| - March 10 2025: Added VAE encode | |
| - March 2 2025: Initial release with VAE decoding | |
| ## Contents | |
| The documentation is organized into three sections: | |
| * **VAE Decode** Learn the basics of how to use VAE Decode with Hybrid Inference. | |
| * **VAE Encode** Learn the basics of how to use VAE Encode with Hybrid Inference. | |
| * **API Reference** Dive into task-specific settings and parameters. | |