Chaitanya-02/Synthetic-data-gen

title: Synthetic Data Gen emoji: 👁 colorFrom: indigo colorTo: yellow sdk: gradio sdkversion: 5.9.0 appfile: app.py pinned: false short_description: Synthetic data generation for training using diffusion model ---

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.