Update README.md

README.md

@@ -12,9 +12,7 @@ base_model_relation: merge
 pipeline_tag: text-to-image
 ---
 
-
-
-## **Memory-efficient merging code (Flux.1-Dev + Flux.1-Krea-Dev)**
+## **Sub-Memory-efficient merging code (Flux.1-Dev + Flux.1-Krea-Dev)**
 
 ```py
 %%capture
@@ -25,10 +23,13 @@ pipeline_tag: text-to-image
 !pip install safetensors huggingface_hub hf_xet
 ```
 
+---
+
 ```
 from huggingface_hub import notebook_login, HfApi
 notebook_login()
 ```
+---
 
 ```py
 from diffusers import FluxTransformer2DModel
@@ -102,8 +103,6 @@ model.to(torch.bfloat16).save_pretrained("merged/transformer")
 api = HfApi()
 repo_id = "prithivMLmods/Flux.1-krea-Merge-Transformer"
 
-
-
 api.upload_folder(
     folder_path="merged/",
     path_in_repo=".",
@@ -111,4 +110,12 @@ api.upload_folder(
     repo_type="model",
     revision="main"
 )
-```
+```
+
+## For more information, visit the documentation.
+
+> Flux is a suite of state-of-the-art text-to-image generation models based on diffusion transformers, developed by Black Forest Labs. The models are designed for high-quality generative image tasks, including text-to-image, inpainting, outpainting, and advanced structure or depth-controlled workflows. Flux is available through the Hugging Face diffusers library.
+
+For detailed guides, examples, and API refer to:
+- **[Main Flux Pipeline Documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux)**
+- **[Flux Transformer Model Documentation](https://huggingface.co/docs/diffusers/main/en/api/models/flux_transformer)**