{"id":21073409,"url":"https://github.com/valentinvignal/hdstyletransfer","last_synced_at":"2026-02-28T07:07:17.065Z","repository":{"id":37656953,"uuid":"237654514","full_name":"ValentinVignal/HDStyleTransfer","owner":"ValentinVignal","description":"A HD Style Transfer script","archived":false,"fork":false,"pushed_at":"2022-11-22T06:06:24.000Z","size":30411,"stargazers_count":2,"open_issues_count":4,"forks_count":3,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-08-25T02:22:42.081Z","etag":null,"topics":["style-transfer","tensorflow","tf"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/ValentinVignal.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}},"created_at":"2020-02-01T17:55:46.000Z","updated_at":"2021-04-06T05:58:57.000Z","dependencies_parsed_at":"2022-09-04T21:22:06.504Z","dependency_job_id":null,"html_url":"https://github.com/ValentinVignal/HDStyleTransfer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ValentinVignal/HDStyleTransfer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ValentinVignal%2FHDStyleTransfer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ValentinVignal%2FHDStyleTransfer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ValentinVignal%2FHDStyleTransfer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ValentinVignal%2FHDStyleTransfer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ValentinVignal","download_url":"https://codeload.github.com/ValentinVignal/HDStyleTransfer/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ValentinVignal%2FHDStyleTransfer/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274949651,"owners_count":25379466,"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","status":"online","status_checked_at":"2025-09-13T02:00:10.085Z","response_time":70,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["style-transfer","tensorflow","tf"],"created_at":"2024-11-19T19:00:55.383Z","updated_at":"2026-02-28T07:07:12.025Z","avatar_url":"https://github.com/ValentinVignal.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# HDStyleTransfer\n\nThis repo is a personal project to perform style transfer between\nimages. The goal was to create HD stylized images.\n\u003e The images size can be at least 1024 x 1024 pixels.\n\nAs you see in the results I successfully created acceptable stylized HD\nimages using the GPU of\n[Google Colab](https://colab.research.google.com/). :tada:\n\n## Style Transfer\n\n### Results\n\nHere are some results of my project:\n\n| Content Image | Style Image | Result Image |\n| :---: | :---: | :---: |\n| ![logo_veval_2](doc/images/logo_veval_2.jpg)| ![fractal](doc/images/fractal.jpg) | ![logo_veval_2](doc/images/logo_veval_2_fractal.png)|\n| ![tree_road](doc/images/tree_road.jpg) | ![surface_pro](doc/images/surface_pro.jpg) | ![tree_road_surface_pro](doc/images/tree_road_surface_pro.png)|\n| ![tree_road](doc/images/tree_road.jpg)| ![fractal](doc/images/fractal.jpg) | ![tree_road_fractal](doc/images/tree_road_fractal.png) |\n\n### Google colab\n\nThe file `style_transfer.ipynb` will perform the style transfert\nalgorithm for a combination of given images and parameters.\n\nThe steps for the setup are explained in the file.\n\n\n### Script\n\nThe script `style_transfer.py` will generate one set of stylized images\nfor one combination of content/style images and parameters\n\n```cmd\npython style_transfer.py\n```\n\nThe content and style images must be in a `content` and `style` folders\nor `content.zip` and `style.zip` files at the root of the project\n\nThe parameters can be changed by creating and editing the files:\n\n- `style_transfer_options.json`\n- `style_transfer_parameters.json`\n- `style_transfer_parameters_list.json`\n\n\nIt will create a `results` folder with the stylized images in it.\n\nTo apply the style transfer on several images, run the command\n\n```cmd\npython style_transfer.py\n```\n\n as many times as you need\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvalentinvignal%2Fhdstyletransfer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvalentinvignal%2Fhdstyletransfer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvalentinvignal%2Fhdstyletransfer/lists"}