Update README.md

README.md

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 short_description: Synthetic data generation for training using diffusion model
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+
+Features:
+
+Stable Diffusion Integration: Leverages the StableDiffusionImg2ImgPipeline for versatile image generation.
+Class Misclassification Analysis: Automatically identifies misclassified class pairs for focused image generation.
+Advanced Prompt Interpolation: Utilizes spherical linear interpolation (slerp) to generate smooth transitions between text embeddings for more natural image outputs.
+Structural Similarity Scoring: Calculates SSIM scores to measure the quality of generated images compared to input references.
+Comprehensive Metadata Management: Captures extensive details about the generation process for easy reproducibility and debugging.
+Dynamic Directory Management: Automatically creates and organizes directories for class pairs and metadata files.
+Highly Configurable: Supports advanced optimization options like torch.compile and DeepCache for performance improvements.