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