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| 12 | + |
| 13 | +# Hybrid Inference |
| 14 | + |
| 15 | +**Empowering local AI builders with Hybrid Inference** |
| 16 | + |
| 17 | + |
| 18 | +> [!TIP] |
| 19 | +> Hybrid Inference is an [experimental feature](https://huggingface.co/blog/remote_vae). |
| 20 | +> Feedback can be provided [here](https://github.com/huggingface/diffusers/issues/new?template=remote-vae-pilot-feedback.yml). |
| 21 | +
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| 22 | + |
| 23 | + |
| 24 | +## Why use Hybrid Inference? |
| 25 | + |
| 26 | +Hybrid Inference offers a fast and simple way to offload local generation requirements. |
| 27 | + |
| 28 | +- 🚀 **Reduced Requirements:** Access powerful models without expensive hardware. |
| 29 | +- 💎 **Without Compromise:** Achieve the highest quality without sacrificing performance. |
| 30 | +- 💰 **Cost Effective:** It's free! 🤑 |
| 31 | +- 🎯 **Diverse Use Cases:** Fully compatible with Diffusers 🧨 and the wider community. |
| 32 | +- 🔧 **Developer-Friendly:** Simple requests, fast responses. |
| 33 | + |
| 34 | +--- |
| 35 | + |
| 36 | +## Available Models |
| 37 | + |
| 38 | +* **VAE Decode 🖼️:** Quickly decode latent representations into high-quality images without compromising performance or workflow speed. |
| 39 | +* **VAE Encode 🔢 (coming soon):** Efficiently encode images into latent representations for generation and training. |
| 40 | +* **Text Encoders 📃 (coming soon):** Compute text embeddings for your prompts quickly and accurately, ensuring a smooth and high-quality workflow. |
| 41 | + |
| 42 | +--- |
| 43 | + |
| 44 | +## Integrations |
| 45 | + |
| 46 | +* **[SD.Next](https://github.com/vladmandic/sdnext):** All-in-one UI with direct supports Hybrid Inference. |
| 47 | +* **[ComfyUI-HFRemoteVae](https://github.com/kijai/ComfyUI-HFRemoteVae):** ComfyUI node for Hybrid Inference. |
| 48 | + |
| 49 | +## Contents |
| 50 | + |
| 51 | +The documentation is organized into two sections: |
| 52 | + |
| 53 | +* **VAE Decode** Learn the basics of how to use VAE Decode with Hybrid Inference. |
| 54 | +* **API Reference** Dive into task-specific settings and parameters. |
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