{"id":24364518,"url":"https://github.com/alpha-131/fictive-frames","last_synced_at":"2026-03-15T15:41:47.690Z","repository":{"id":219805029,"uuid":"749977462","full_name":"Alpha-131/Fictive-Frames","owner":"Alpha-131","description":"Fictive Frames is text-to-image synthesis model, employing variational autoencoders, transformers, and UNET architecture. By encoding textual descriptions into latent spaces, it generates high-quality images, optimizing parameter efficiency. This innovative approach streamlines content creation, catering to diverse industries. ","archived":false,"fork":false,"pushed_at":"2024-01-29T19:03:39.000Z","size":6,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-18T23:53:32.081Z","etag":null,"topics":["diffusion-models","transformers","vae"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Alpha-131.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-01-29T18:56:30.000Z","updated_at":"2024-01-29T19:07:52.000Z","dependencies_parsed_at":"2024-01-29T22:09:29.907Z","dependency_job_id":"eb218d4c-6f1b-4cae-8324-d0c24d6b1e7f","html_url":"https://github.com/Alpha-131/Fictive-Frames","commit_stats":null,"previous_names":["alpha-131/fictive-frames"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alpha-131%2FFictive-Frames","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alpha-131%2FFictive-Frames/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alpha-131%2FFictive-Frames/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alpha-131%2FFictive-Frames/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Alpha-131","download_url":"https://codeload.github.com/Alpha-131/Fictive-Frames/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243196641,"owners_count":20251859,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["diffusion-models","transformers","vae"],"created_at":"2025-01-18T23:53:52.106Z","updated_at":"2025-12-24T15:57:41.014Z","avatar_url":"https://github.com/Alpha-131.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fictive Frames: Text-to-Image Generation\n\n* NOTE  : Our project is still under work. Will update the codebase soon.\n\n## Overview\nThis repository hosts the code for our IPD project, Fictive Frames, focused on text-to-image generation. Our goal is to develop an efficient model that translates textual descriptions into visually compelling images.\n\n## Key Features\n- **Innovative Approach**: We combine variational autoencoders (VAE), text embeddings, transformers, and UNET architecture for image generation.\n- **Simplicity \u0026 Efficiency**: Emphasis on minimizing parameters while maintaining image quality for faster training and inference.\n- **Streamlined Solution**: Designed to facilitate content creation by automating image production from natural language inputs.\n\n## Project Objectives\n1. **Comprehensive Understanding**: Survey existing models in text-to-image generation.\n2. **Dataset Compilation**: Gather a diverse dataset of textual descriptions and corresponding images.\n3. **Model Development**: Propose an innovative model integrating computer vision and NLP techniques.\n4. **Performance Validation**: Validate and optimize the model's performance.\n5. **Evaluation Metrics**: Establish unbiased metrics for rigorous assessment.\n6. **User Studies**: Conduct user studies to gauge effectiveness and user experience.\n\n## Motivation\nDriven by the increasing demand for multimedia content, our project aims to streamline the image creation process, reducing time and resources while enhancing engagement and creativity.\n\n## Contributors\n- Varun Pillai (https://github.com/Alpha-131)\n- Rachit Patni (https://github.com/rachit901109)\n- Manav Sangoi (https://github.com/ManavSangoi)\n- Hastansh Pandit (https://github.com/Hastansh12)\n\nFeel free to explore the codebase and contribute to advancing text-to-image generation in artificial intelligence! 🚀\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falpha-131%2Ffictive-frames","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falpha-131%2Ffictive-frames","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falpha-131%2Ffictive-frames/lists"}