修复项目

.gitignore

@@ -0,0 +1,175 @@
+.glut/
+outputs/
+models/
+temp/
+checkpoints/
+results/
+*.bat
+*.pdf
+hotwords.txt
+test.py
+glut.py
+VDM_Decoder/arguments.py
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

MLLM/configs/clm_models/animegamer_clm.yaml

@@ -21,4 +21,4 @@ learnable_pos: False
 lm_loss_scale: 1.0 
 rec_loss_scale: 1.0
 
-pretrained_model_path: ./checkpoints/Game-Qiqi/MLLM/pytorch_model.bin
+pretrained_model_path: ./checkpoints/AnimeGamer/MLLM-Qiqi/pytorch_model.bin

README.md

@@ -50,16 +50,17 @@ AnimeGamer is built upon Multimodal Large Language Models (MLLMs) to generate ea
 - [ ] Release wights of models trained on a mixture of anime films (the same setting as in our paper)
 
 ## 📏 Quick Start
-
-Please first download the checkpoints of [AnimeGamer](https://huggingface.co/TencentARC/AnimeGamer) and [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1), and save them under the folder `./checkpoints`.
-
 To set up the environment for inference, you can run the following command:
 ```shell
 git clone https://github.com/TencentARC/AnimeGamer.git
 cd AnimeGamer
 conda create -n animegamer python==3.10 -y
 conda activate animegamer
 pip install -r requirements.txt
+cd checkpoints
+git clone https://huggingface.co/TencentARC/AnimeGamer
+git clone https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1
+git clone https://huggingface.co/Gluttony10/CogVideoX-2b-sat
 ```
 
 To generate action-aware multimodal representations and update character states, you can run:
@@ -78,7 +79,7 @@ Change the instructions in `./game_demo` to customize your play.
 
 ## 🤗 Acknowledgements
 
-We refer to [CogvideoX](https://github.com/XLabs-AI/x-flux) and [SEED-X](https://github.com/AILab-CVC/SEED-X/tree/main) to build our codebase. Thanks for their wonderful project.
+We refer to [CogvideoX](https://github.com/THUDM/CogVideo) and [SEED-X](https://github.com/AILab-CVC/SEED-X) to build our codebase. Thanks for their wonderful project.
 
 
 

VDM_Decoder/configs/cogvideox_2b.yaml

@@ -92,15 +92,15 @@ model:
           ucg_rate: 0.1
           target: VDM_Decoder.sgm.modules.encoders.modules.FrozenT5Embedder
           params:
-            model_dir: "/group/40034/junhaocheng/CogVideo/CogVideoX-2b-sat/t5-v1_1-xxl"
+            model_dir: "./checkpoints/CogVideoX-2b-sat/t5-v1_1-xxl"
             max_length: 226
             is_plan_3: True
 
   first_stage_config:
     target: VDM_Decoder.vae_modules.autoencoder.VideoAutoencoderInferenceWrapper
     params:
       cp_size: 1
-      ckpt_path: "/group/40034/junhaocheng/CogVideo/CogVideoX-2b-sat/vae/3d-vae.pt"
+      ckpt_path: "./checkpoints/CogVideoX-2b-sat/vae/3d-vae.pt"
       ignore_keys: [ 'loss' ]
 
       loss_config:

VDM_Decoder/configs/inference.yaml

@@ -2,7 +2,7 @@ args:
   image2video: False
   latent_channels: 16
   mode: inference
-  load: "./checkpoints/Game-Qiqi/VDM_Decoder"
+  load: "./checkpoints/AnimeGamer/VDM_Decoder-Qiqi"
   batch_size: 1
   sampling_image_size: [480, 720] 
   sampling_num_frames: 5  

requirements.txt

@@ -27,9 +27,9 @@ pillow==9.5.0
 scikit-video
 safetensors
 tokenizers==0.19
-xformers
-torch==2.4.0
-torchvision==0.19.0
+xformers==0.0.28.post2
+torch==2.5.0
+torchvision==0.20.0
 wandb==0.17.5
 pytorch_lightning==2.3.3
 open_clip_torch==2.22.0
@@ -38,4 +38,7 @@ fsspec==2024.5.0
 scipy==1.14.0
 loguru
 SwissArmyTransformer==0.4.12
-omegaconf==2.3.0
+omegaconf==2.3.0
+bitsandbytes
+huggingface_hub[hf_xet]
+triton