Update README.md

README.md

@@ -12,17 +12,15 @@ tags:
 > **Note:** This repository is an **archived mirror** and is **not** the original upstream source.  
 > The original model, weights, and documentation are developed and maintained by **Black Forest Labs**.
 >
-> This mirror is provided solely for convenience and preservation purposes.  
-> The model weights hosted here are **unmodified**. Minor editorial changes may have been made to this README (e.g., formatting or clarification) and do **not** alter the model, its behavior, or its licensing.
+> All hosted model weights are **unmodified**. Any README edits are purely editorial and do not affect the model, its behavior, or its licensing.
 >
-> The model is released under the **Apache License, Version 2.0**, which permits use, reproduction, modification, and redistribution, including for commercial purposes, subject to the terms of the license.  
+> The model is released under the **Apache License, Version 2.0**, which permits use, modification, and redistribution under its terms.
 >
 > **Cooperation Notice:**  
-> If the original rights holder or upstream maintainers of this model request changes, clarification, or removal of this mirror, the repository maintainer is willing to cooperate in good faith, where reasonable and consistent with the Apache License, Version 2.0.
+> The maintainer will cooperate in good faith with the original rights holder or upstream maintainers, consistent with the Apache License 2.0.  
+> Requests may be submitted via **Discussions**.
 >
-> Any such requests may be raised via the **Discussions** section of this repository so they can be addressed transparently and appropriately.
->
-> *This repository does not claim any affiliation with or endorsement by Black Forest Labs.*
+> *This repository is not affiliated with or endorsed by Black Forest Labs.*
 
 `FLUX.1 [schnell]` is a 12-billion-parameter rectified flow transformer capable of generating high-quality images from text descriptions.
 
@@ -61,8 +59,10 @@ Then you can use `FluxPipeline` to run the model
 ```python
 import torch
 from diffusers import FluxPipeline
+
 pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16)
 pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
+
 prompt = "A cat holding a sign that says hello world"
 image = pipe(
     prompt,