https://github.com/aashish75/rag-stablediffusion
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (4.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Aashish75
- Language: Jupyter Notebook
- Default Branch: main
- Size: 493 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
RAG-stablediffusion
This project combines Retrieval-Augmented Generation (RAG) with Stable Diffusion to enhance text-to-image generation with real-world knowledge. By integrating retrieved factual information into diffusion model prompts, we aim to create more realistic, meaningful, and contextually accurate images.
📌 Key Features
✅ Retrieval-Augmented Generation (RAG): Uses FAISS and Sentence Transformers to retrieve relevant real-world knowledge before image generation.
✅ Stable Diffusion Pipeline: Generates images conditioned on enhanced prompts that include retrieved factual information.
✅ CLIP-Based Evaluation: Assesses the alignment between generated images and text using CLIP similarity scores.
✅ Efficient FAISS Search: Uses semantic search with FAISS to retrieve knowledge from a Wikipedia dataset.
✅ Optimized Prompt Engineering: Enhances diffusion model performance by injecting real-world knowledge.
Owner
- Name: Aashish M
- Login: Aashish75
- Kind: user
- Repositories: 1
- Profile: https://github.com/Aashish75
I code
GitHub Events
Total
- Push event: 9
- Create event: 2
Last Year
- Push event: 9
- Create event: 2