Update README.md

README.md

@@ -129,7 +129,7 @@ output =  pipeline(
 output.save("flux2_output.png")
 ```
 
-**Using the model with the quantized text encoder**, you would still need an H100, although you would be pushing it, so preferably use GPUs with more than 85GB of VRAM
+**Using the model with a quantized text encoder:** Even with the text encoder quantized, the model still has high memory requirements. While it may run on an **H100**, the available VRAM would be very tight, so it is recommended to use GPUs with **more than 85 GB of VRAM** to ensure stable execution and avoid OOM issues.
 
 ```python
 import torch