init docs

Author: hlky

docs/source/en/_toctree.yml

@@ -112,6 +112,10 @@
   - local: using-diffusers/marigold_usage
     title: Marigold Computer Vision
   title: Specific pipeline examples
+- sections:
+  - local: hybrid_inference/overview
+    title: Overview
+  title: Hybrid Inference
 - sections:
   - local: training/overview
     title: Overview

docs/source/en/hybrid_inference/overview.md

@@ -0,0 +1,42 @@
+<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+-->
+
+# Hybrid Inference
+
+**Empowering local AI builders with Hybrid Inference**
+
+---
+
+## Why use Hybrid Inference?
+
+Hybrid Inference offers a fast and simple way to offload local generation requirements.
+
+* **VAE Decode:** Quickly decode latents to images without comprimising quality or slowing down your workflow.
+* **VAE Encode (coming soon):** Encode images to latents for generation or training.
+* **Text Encoders (coming soon):** Compute text embeddings for prompts without comprimising quality or slowing down your workflow.
+
+---
+
+## Key Benefits
+
+- 🚀 **Reduced Requirements:** Access powerful models without expensive hardware.
+- 🎯 **Diverse Use Cases:** Fully compatible with Diffusers 🧨 and the wider community.
+- 🔧 **Developer-Friendly:** Simple requests, fast responses.
+
+---
+
+## Contents
+
+The documentation is organized into two sections:
+
+* **Getting Started** Learn the basics of how to use Hybrid Inference.
+* **API Reference** Dive into task-specific settings and parameters.