chore: release v0.3.3

Author: lmxyy

README.md

@@ -19,6 +19,7 @@ Join our user groups on [**Slack**](https://join.slack.com/t/nunchaku/shared_inv
 
 ## News
 
+- **[2025-06-29]** 🔥 **v0.3.3** now supports [FLUX.1-Kontext-dev](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev)! Download the quantized model from [HuggingFace](https://huggingface.co/mit-han-lab/nunchaku-flux.1-kontext-dev) or [ModelScope](https://modelscope.cn/models/Lmxyy1999/nunchaku-flux.1-kontext-dev) and use this [workflow](./example_workflows/nunchaku-flux.1-kontext-dev.json) to get started.
 - **[2025-06-11]** Starting from **v0.3.2**, you can now **easily install or update the [Nunchaku](https://github.com/mit-han-lab/nunchaku) wheel** using this [workflow](https://github.com/mit-han-lab/ComfyUI-nunchaku/blob/main/example_workflows/install_wheel.json)!
 - **[2025-06-07]** 🚀 **Release Patch v0.3.1!** We bring back **FB Cache** support and fix **4-bit text encoder loading**. PuLID nodes are now optional and won’t interfere with other nodes. We've also added a **NunchakuWheelInstaller** node to help you install the correct [Nunchaku](https://github.com/mit-han-lab/nunchaku) wheel.
 - **[2025-06-01]** 🚀 **Release v0.3.0!** This update adds support for multiple-batch inference, [**ControlNet-Union-Pro 2.0**](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) and initial integration of [**PuLID**](https://github.com/ToTheBeginning/PuLID). You can now load Nunchaku FLUX models as a single file, and our upgraded [**4-bit T5 encoder**](https://huggingface.co/mit-han-lab/nunchaku-t5) now matches **FP8 T5** in quality!