Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- fhai50032/ControlNet-Poster
+base_model:
+- black-forest-labs/FLUX.1-dev
+---
+
+
+# Flux-ControlNet: Text-to-Image Diffusion Model with Caption Alignment
+
+This repository hosts **Flux-ControlNet**, a customized ControlNet-based diffusion model designed for generating text-embedded images. 
+
+---
+
+## Key Features
+- **Flux-ControlNet**: Enhanced ControlNet architecture for better control over text-to-image generation.
+- **Optimized Diffusion**: Uses Hugging Face Diffusers and Accelerate for streamlined performance.
+
+---
+
+## How It Works
+1. **Input**: Provide text prompts and conditioning image.
+2. **Processing**: 
+   - Flux-ControlNet processes the text and applies diffusion to synthesize aligned images.
+3. **Output**: High-quality, text-embedded images.
+
+---
+
+# Training Parameters for Flux-ControlNet
+```
+General Parameters:
+  Model Architecture: Flux-based ControlNet Model
+  Image Resolution: 512x512
+  Batch Size: 4
+  Epochs: 50
+  Optimizer: AdamW
+  Learning Rate: 1e-5 (with cosine schedular)
+  Weight Decay: 0.01
+  Gradient Clipping: 1.0
+```
+
+# Inference Code
+    Soon to be added