Update README.md

README.md

@@ -1,25 +1,23 @@
 ---
-license: fair-noncommercial-research-license
-datasets:
-- bitmind/celeb-a-hq
-base_model:
-- h94/IP-Adapter-FaceID
----
----
+license: creativeml-openrail-m
+base_model: SG161222/Realistic_Vision_V4.0_noVAE
 tags:
 - text-to-image
 - stable-diffusion
-- diffusers
 - ip-adapter
 - face-id
-- custom-finetune
-language:
-- en
+- identity-preservation
+- portrait
+- rishabh-in-code
 library_name: diffusers
+pipeline_tag: text-to-image
 ---
 
-# IP-Adapter-FaceID-PlusV2-Finetuned (RishabhInCode)
+# TrueFace-Adapter: High-Fidelity Identity Preservation
+![Model License](https://img.shields.io/badge/License-Non--Commercial-red.svg)
+![Base Model](https://img.shields.io/badge/Base%20Model-Realistic%20Vision%20V4.0-blue.svg)
 
+---
 ## Introduction
 This is a custom, fine-tuned version of the **IP-Adapter-FaceID-PlusV2** model for Stable Diffusion 1.5. It was specifically trained to prioritize high-fidelity identity preservation while maintaining compositional realism across highly diverse prompts. 
 
@@ -103,4 +101,19 @@ images = ip_model.generate(
      height=768, 
      num_inference_steps=30
 )
-images[0].save("output.png")
+images[0].save("output.png")
+```
+
+
+## Citation
+
+If you use this fine-tuned model in your research or projects, please cite it as:
+```bibtex
+@misc{rishabhincode2026trueface,
+  author = {RishabhInCode},
+  title = {TrueFace-Adapter: High-Fidelity Identity Preservation},
+  year = {2026},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/RishabhInCode/TrueFace-Adapter}}
+}
+```