[minor] add spotlight new

README.md

@@ -4,7 +4,7 @@ Nunchaku is an inference engine designed for 4-bit diffusion models, as demonstr
 
 ### [Paper](http://arxiv.org/abs/2411.05007) | [Project](https://hanlab.mit.edu/projects/svdquant) | [Blog](https://hanlab.mit.edu/blog/svdquant) | [Demo](https://svdquant.mit.edu)
 
-- **[2025-02-11]** 🔥 **FLUX.1-tools Gradio demos are now available!** Check [here](#gradio-demos) for the usage details! Our new [depth-to-image demo](https://svdquant.mit.edu/flux1-depth-dev/) is also online—try it out!
+- **[2025-02-11]** 🎉 **[SVDQuant](http://arxiv.org/abs/2411.05007) has been selected as a ICLR 2025 Spotlight! FLUX.1-tools Gradio demos are now available!** Check [here](#gradio-demos) for the usage details! Our new [depth-to-image demo](https://svdquant.mit.edu/flux1-depth-dev/) is also online—try it out!
 - **[2025-02-04]** **🚀 4-bit [FLUX.1-tools](https://blackforestlabs.ai/flux-1-tools/) is here!** Enjoy a **2-3× speedup** over the original models. Check out the [examples](./examples) for usage. **ComfyUI integration is coming soon!**
 - **[2025-01-23]** 🚀 **4-bit [SANA](https://nvlabs.github.io/Sana/) support is here!** Experience a 2-3× speedup compared to the 16-bit model. Check out the [usage example](./examples/sana_1600m_pag.py) and the [deployment guide](app/sana/t2i) for more details. Explore our live demo at [svdquant.mit.edu](https://svdquant.mit.edu)!
 - **[2025-01-22]** 🎉 [**SVDQuant**](http://arxiv.org/abs/2411.05007) has been accepted to **ICLR 2025**!

app/flux.1/depth_canny/vars.py

@@ -48,8 +48,8 @@ EXAMPLES = {
         [
             "https://huggingface.co/mit-han-lab/svdq-int4-flux.1-canny-dev/resolve/main/logo_example.png",
             "A logo of 'MIT HAN Lab'.",
-            DEFAULT_STYLE_NAME,
-            STYLES[DEFAULT_STYLE_NAME],
+            "Fantasy art",
+            STYLES["Fantasy art"],
             30,
             10,
             2,