[WIP] Upload folder using huggingface_hub (multi-commit e1602c6949cf91d4856ee781547e9851fa581170b58e07c610ba47cb1be1c7fd)
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flamehaze1115
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- .gitignore +0 -189
- README.md +1 -11
- ckpts/random_states_0.pkl +0 -3
- ckpts/scaler.pt +0 -3
- ckpts/scheduler.bin +0 -3
- ckpts/unet/config.json +0 -67
- ckpts/unet/diffusion_pytorch_model.bin +0 -3
- configs/mvdiffusion-joint-ortho-6views.yaml +0 -42
- configs/mvdiffusion-joint-plus.yaml +0 -50
- example_images/000-astronaut.jpg +0 -0
- example_images/000-cat.jpg +0 -0
- example_images/000-character.jpg +0 -0
- example_images/000-firefox.jpg +0 -0
- example_images/000-monkey.jpg +0 -0
- example_images/14_10_29_489_Tiger_1__1.png +0 -0
- example_images/American_PitBull_Terrier.png +0 -0
- example_images/Baby_Elephant.png +0 -0
- example_images/Camel_600.png +0 -0
- example_images/Galapagos_Turtle.png +0 -0
- example_images/Koala.png +0 -0
- example_images/Rabbit.png +0 -0
- example_images/bear.png +0 -0
- example_images/blue_bird.png +0 -0
- example_images/blue_dragon2.png +0 -0
- example_images/box.png +0 -0
- example_images/bread.png +0 -0
- example_images/cartoon_dinosaur.png +0 -0
- example_images/cat_head.png +0 -0
- example_images/chair_wood.jpg +0 -0
- example_images/color_fox.png +0 -0
- example_images/cute_monkey.png +0 -0
- example_images/dog.png +0 -0
- example_images/dragon2.png +0 -0
- example_images/duola.png +0 -0
- example_images/fox.png +0 -0
- example_images/gelute.png +0 -0
- example_images/generated_1715763329_frame0.png +0 -0
- example_images/haimianbaobao.png +0 -0
- example_images/hair-11-3d-model-obj-mtl-stl-ztl-zbp.png +0 -0
- example_images/halloween.png +0 -0
- example_images/happy-british-bulldog-head-3d-model-obj-stl.png +0 -0
- example_images/head.png +0 -0
- example_images/jelly.png +0 -0
- example_images/kettle.png +0 -0
- example_images/kunkun.png +0 -0
- example_images/lion.png +0 -0
- example_images/man-head2.jpeg +0 -0
- example_images/monkey.png +0 -0
- example_images/mushroom_teapot.jpg +0 -0
- example_images/owl.png +0 -0
.gitignore
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# Initially taken from Github's Python gitignore file
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# tests and logs
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tests/fixtures/cached_*_text.txt
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logs/
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lightning_logs/
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lang_code_data/
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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htmlcov/
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# vscode
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.vs
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.vscode
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# Pycharm
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.idea
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# TF code
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tensorflow_code
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# Models
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proc_data
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# examples
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runs
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/runs_old
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/wandb
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/examples/runs
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/examples/**/*.args
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/examples/rag/sweep
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# data
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/data
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serialization_dir
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# emacs
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*.*~
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debug.env
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# vim
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.*.swp
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#ctags
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tags
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# pre-commit
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.pre-commit*
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# .lock
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*.lock
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# DS_Store (MacOS)
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.DS_Store
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# RL pipelines may produce mp4 outputs
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*.mp4
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# dependencies
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/transformers
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# ruff
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.ruff_cache
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# ckpts
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*.ckpt
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outputs/*
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NeuS/exp/*
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NeuS/test_scenes/*
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NeuS/mesh2tex/*
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neus_configs
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vast/*
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render_results
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experiments/*
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neus/*
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ckpts/*
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README.md
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---
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-
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emoji: 🚀
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colorFrom: indigo
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colorTo: pink
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sdk: gradio
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sdk_version: 4.42.0
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app_file: gradio_app.py
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pinned: false
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license: agpl-3.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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license: cc-by-nc-sa-4.0
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---
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ckpts/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b2bff2cafd1c4c3f242e8ea15db5d00b5d7beb3774a43fba414a673ccbfa4a4
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size 21579
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ckpts/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c20e680f2df4327c94842ee1a266b2f31860a1deac1a3fcffb91468b9e106df5
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size 559
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ckpts/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c043895a7a3520ba971f376e41cfc83f5de26523964c7166e1e4f67ffacd4c1e
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size 623
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ckpts/unet/config.json
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{
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"_class_name": "UNetMV2DConditionModel",
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"_diffusers_version": "0.19.3",
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"_name_or_path": "lambdalabs/sd-image-variations-diffusers",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim": 8,
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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],
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"center_input_sample": false,
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"class_embed_type": "projection",
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 768,
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"cross_attention_norm": null,
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"down_block_types": [
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"CrossAttnDownBlockMV2D",
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"CrossAttnDownBlockMV2D",
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"CrossAttnDownBlockMV2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 8,
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"joint_attention": false,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlockMV2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"num_views": 6,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": 10,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"sample_size": 32,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": 1,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlockMV2D",
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"CrossAttnUpBlockMV2D",
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"CrossAttnUpBlockMV2D"
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],
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"upcast_attention": false,
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"use_linear_projection": false
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}
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ckpts/unet/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:25a338df9e3e913ac9de83fb6d1585ea01031dba03434e2adc32237127fddbab
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size 3643509774
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configs/mvdiffusion-joint-ortho-6views.yaml
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pretrained_model_name_or_path: 'lambdalabs/sd-image-variations-diffusers'
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pretrained_unet_path: './ckpts/'
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revision: null
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validation_dataset:
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root_dir: "./example_images" # the folder path stores testing images
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num_views: 6
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bg_color: 'white'
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img_wh: [256, 256]
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num_validation_samples: 1000
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crop_size: 192
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filepaths: ['owl.png'] # the test image names. leave it empty, test all images in the folder
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save_dir: 'outputs/'
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pred_type: 'joint'
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seed: 42
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validation_batch_size: 1
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dataloader_num_workers: 64
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local_rank: -1
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pipe_kwargs:
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camera_embedding_type: 'e_de_da_sincos'
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num_views: 6
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validation_guidance_scales: [3.0]
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pipe_validation_kwargs:
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eta: 1.0
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validation_grid_nrow: 6
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unet_from_pretrained_kwargs:
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camera_embedding_type: 'e_de_da_sincos'
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projection_class_embeddings_input_dim: 10
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num_views: 6
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sample_size: 32
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zero_init_conv_in: false
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zero_init_camera_projection: false
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num_views: 6
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camera_embedding_type: 'e_de_da_sincos'
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enable_xformers_memory_efficient_attention: true
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configs/mvdiffusion-joint-plus.yaml
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-
pretrained_model_name_or_path: 'lambdalabs/sd-image-variations-diffusers' # or './ckpts'
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pretrained_unet_path: '/mvfs/workspace/code/mv_proj/outputs-v6/stage3_w_pretrain_single_crop/unet-20000/unet'
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revision: null
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validation_dataset:
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root_dir: "example_images" # the folder path stores testing images
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num_views: 6
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bg_color: 'white'
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img_wh: [256, 256]
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num_validation_samples: 1000
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crop_size: 192
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filepaths: ['owl.png']
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cam_types: ['ortho']
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load_cam_type: true
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save_dir: 'outputs-inference/'
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pred_type: 'joint_color_normal'
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seed: 33
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validation_batch_size: 1
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dataloader_num_workers: 64
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local_rank: -1
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pipe_kwargs:
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camera_embedding_type: 'e_de_da_sincos'
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num_views: 6
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pred_type: 'joint_color_normal'
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validation_guidance_scales: [2.0]
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pipe_validation_kwargs:
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eta: 1.0
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validation_grid_nrow: 6
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unet_from_pretrained_kwargs:
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camera_embedding_type: 'e_de_da_sincos'
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projection_class_embeddings_input_dim: 14
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num_views: 6
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sample_size: 32
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cd_attention_mid: true
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zero_init_conv_in: false
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zero_init_camera_projection: false
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multiview_attention: true
|
43 |
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sparse_mv_attention: false
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mvcd_attention: false
|
45 |
-
|
46 |
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num_views: 6
|
47 |
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camera_embedding_type: 'e_de_da_sincos'
|
48 |
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load_task: true
|
49 |
-
|
50 |
-
enable_xformers_memory_efficient_attention: False
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