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README.md
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@@ -54,12 +54,16 @@ This new version provides a **Hugging Face–compatible AutoencoderKL** checkpoi
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It offers **plug-and-play compatibility** with diffusion pipelines and can be seamlessly used to build or train new diffusion models.
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## 📦 Requirements
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```bash
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pip install diffusers>=0.33.0
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pip install torch>=2.3.1
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```
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## 🚀 Example Usage
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```python
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from io import BytesIO
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import requests
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It offers **plug-and-play compatibility** with diffusion pipelines and can be seamlessly used to build or train new diffusion models.
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## 📦 Requirements
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The following packages are required to load and run the REPA-E VAEs with the `diffusers` library:
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```bash
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pip install diffusers>=0.33.0
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pip install torch>=2.3.1
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```
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## 🚀 Example Usage
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Below is a minimal example showing how to load and use the REPA-E end-to-end trained FLUX-VAE with `diffusers`:
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```python
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from io import BytesIO
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import requests
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