Update README.md

README.md

@@ -23,10 +23,31 @@ instance_prompt: null
 license: apache-2.0
 ---
 # flux-fashion
+The **flux-fashion** LoRA model generates high-quality, realistic clothing images from text descriptions. It was trained on the [H&M Fashion Caption Dataset (12k)](https://huggingface.co/datasets/tomytjandra/h-and-m-fashion-caption-12k) using the [AI Toolkit](https://github.com/ostris/ai-toolkit?tab=readme-ov-file).
+The LoRA is compatible with FLUX architectures, including [Shuttle 3.1](https://huggingface.co/shuttleai/shuttle-3.1-aesthetic).
 
 <Gallery />
 
+## Features
 
+- **Dataset**: Fine-tuned on [H&M Fashion Caption Dataset (12k)](https://huggingface.co/datasets/tomytjandra/h-and-m-fashion-caption-12k)
+- **Architecture**: Compatible with FLUX (e.g., Shuttle 3.1)
+- **Model Type**: LoRA for text-to-image tasks.
+- **Base Model**: [black-forest-labs/FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell).
+- **License**: [Apache-2.0](https://choosealicense.com/licenses/apache-2.0/).
+## Usage
+
+Use this Model directly using Diffusers
+
+```python
+from diffusers import DiffusionPipeline
+
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell")
+pipe.load_lora_weights("aihpi/flux-fashion-lora")
+
+prompt = "Neutral Gray Background, Wide-angle, high quality, detailed, ultrarealistic photography, A beige linen shirt with short sleeves, a round neckline, and a subtle texture. The shirt has minimal stitching visible at the seams."
+image = pipe(prompt).images[0]
+```
 
 ## Download model