{"id":23683844,"url":"https://github.com/lahi-ru/image_style_transfer","last_synced_at":"2026-04-28T18:04:24.320Z","repository":{"id":270205934,"uuid":"909035342","full_name":"LAHI-RU/Image_Style_transfer","owner":"LAHI-RU","description":"This project implements neural style transfer using PyTorch. The model combines the content of one image with the style of another to generate a stylized output.","archived":false,"fork":false,"pushed_at":"2024-12-30T03:25:36.000Z","size":62,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-19T21:14:17.763Z","etag":null,"topics":["ai-art","artificial-intelligence","computer-vision","deep-learning","generative-model","image-processing","neutral-style-transfer","python","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LAHI-RU.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"publiccode":null,"codemeta":null}},"created_at":"2024-12-27T15:36:07.000Z","updated_at":"2024-12-30T03:25:39.000Z","dependencies_parsed_at":"2024-12-29T11:24:47.239Z","dependency_job_id":"69f7a70d-8703-454e-8ea1-e61217ca91e9","html_url":"https://github.com/LAHI-RU/Image_Style_transfer","commit_stats":null,"previous_names":["lahi-ru/image_style_transfer"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LAHI-RU%2FImage_Style_transfer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LAHI-RU%2FImage_Style_transfer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LAHI-RU%2FImage_Style_transfer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LAHI-RU%2FImage_Style_transfer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LAHI-RU","download_url":"https://codeload.github.com/LAHI-RU/Image_Style_transfer/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239735261,"owners_count":19688262,"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":["ai-art","artificial-intelligence","computer-vision","deep-learning","generative-model","image-processing","neutral-style-transfer","python","pytorch"],"created_at":"2024-12-29T20:21:36.363Z","updated_at":"2026-01-05T10:30:21.081Z","avatar_url":"https://github.com/LAHI-RU.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image Style Transfer Project\n\nThis project implements neural style transfer using PyTorch. The model combines the content of one image with the style of another to generate a stylized output.\n\n## Features\n- Uses a pre-trained VGG-19 model for feature extraction.\n- Customizable content and style images.\n- Outputs high-quality stylized images.\n\n## Requirements\n- Python 3.8 or higher\n- PyTorch\n- Torchvision\n- Pillow\n\n## Installation\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/username/image-style-transfer.git\n   cd image-style-transfer\n\n2. Install the required dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n## Usage\n\n1. Add your `content.jpg` and `style.jpg` images to the root directory.\n2. Run the main script:\n\n```bash\npython main.py\n```\n\n3. The stylized image will be saved in the `output/` directory.\n\n## Example\n\n### Content Image:\n*(Add image preview here)*\n\n### Style Image:\n*(Add image preview here)*\n\n### Stylized Output:\n*(Add image preview here)*\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a pull request or report issues.\n\n## License\n\nThis project is licensed under the MIT License. See the LICENSE file for details.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flahi-ru%2Fimage_style_transfer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flahi-ru%2Fimage_style_transfer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flahi-ru%2Fimage_style_transfer/lists"}