Semi-automatic pipeline to extract image training set from anime for generative model training.
Colab version of: https://github.com/cyber-meow/anime_screenshot_pipeline
Feature
- Can be found at cyber-meow github repo README.md
Limitation
- Not all code tested
- Not all steps from github repo is implemented
- Since this notebook is combination of many steps, dependency or package conflict may occurs
- Bad english language spelling and grammar (english is not my primary language :#). Feel free to correct and Pull Request!
Credits
- Author
- Base Code Repo
- Colab Template and Reference
- Code Assistant
- Original cyber-meow repo credits
- This is a collection of many resources found on internet (credit to the orignal authors), and some python code written by myself and ChatGPT.
Whats new?
- (02/27/23):
- Add
WANDB_MODE=disabled
to[7.2] Begin Training
- Fix
cc_training_test_set
error in[7.2] Begin Training
- Fix
fa_move_file
error in[8.1] Only keep images with faces and resize
- Move
[6.3] Data Cleansing
to[5.2] Data Cleansing
and change ton_faces
insteadn_poeple
- (02/26/23):
- Initial First Release 🎉
Tested on Google Colab Free.
- GPU: Tesla T4
- Python: 3.9.16
- Pip: 22.0.4
- Torch: 1.13.1+cu116
- Torchvision: 0.14.1+cu116
Notebook Name | Link |
---|---|
Anime Screenshot Pipeline |
Tested on Runpod.io [TSR Pytorch docker image].
- theskinnyrat/pytorch:3.10-1.13.1-117
- https://runpod.io/gsc?template=97cv87yo27&ref=8rg64ew2
- Python: 3.10.10
- Pip: 23.0.1
- Torch: 1.13.1+cu117
- Torchvision: 0.14.1+cu117
Link |
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