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| title: Synthetic Data Gen | |
| emoji: 👁 | |
| 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. | |