Synthetic-data-gen / README.md
Chaitanya-02's picture
Update README.md
3a600a3 verified

A newer version of the Gradio SDK is available: 5.45.0

Upgrade
metadata
title: Synthetic Data Gen
emoji: πŸ‘
colorFrom: indigo
colorTo: yellow
sdk: gradio
sdk_version: 5.9.0
app_file: 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.