Lumina-T2X
Lumina-T2X is a unified framework for Text to Any Modality Generation
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Download Latest Version (.zip)- a_telephone_bell_rings.wav
- a_telephone_bell_rings_gt.wav
- demo_image.png
- resolution_extrapolation_2.jpg
- compositional_intro.png
- diverse_config.png
- lumina-intro.png
- lumina-logo.png
- 3B_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 600M_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 7B_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 600M_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- __init__.py
- components.py
- model.py
- run_32gpus.sh
- run_8gpus.sh
- run_8gpus.sh
- __init__.py
- integrators.py
- path.py
- transport.py
- utils.py
- grad_norm.py
- parallel.py
- README.md
- train.py
- lumina-text2audio.yaml
- __init__.py
- distributions.py
- __init__.py
- component.py
- ddim.py
- ddpm.py
- ddpm_audio.py
- ema.py
- flag_large_dit.py
- util.py
- __init__.py
- audio.py
- clap.py
- CLAPWrapper.py
- config.yml
- utils.py
- __init__.py
- modules.py
- __init__.py
- act.py
- filter.py
- resample.py
- __init__.py
- activations.py
- models.py
- __init__.py
- autoencoder1d.py
- lr_scheduler.py
- util.py
- demo_audio.py
- n2s_openai.py
- README.md
- requirements.txt
- run_audio.sh
- style.css
- lumina-text2music.yaml
- __init__.py
- distributions.py
- __init__.py
- component.py
- ddim.py
- ddpm.py
- ddpm_audio.py
- ema.py
- flag_large_dit.py
- util.py
- __init__.py
- audio.py
- clap.py
- CLAPWrapper.py
- config.yml
- utils.py
- __init__.py
- modules.py
- __init__.py
- act.py
- filter.py
- resample.py
- __init__.py
- activations.py
- models.py
- __init__.py
- autoencoder1d.py
- lr_scheduler.py
- util.py
- demo_music.py
- README.md
- requirements.txt
- run_music.sh
- __init__.py
- components.py
- model.py
- __init__.py
- integrators.py
- path.py
- transport.py
- utils.py
- demo.py
- README.md
- JourneyDB.yaml
- settings.yaml
- __init__.py
- data_reader.py
- dataset.py
- __init__.py
- components.py
- model.py
- __init__.py
- integrators.py
- path.py
- transport.py
- utils.py
- __init__.py
- cli.py
- group.py
- __init__.py
- demo.py
- entry_point.py
- grad_norm.py
- imgproc.py
- parallel.py
- README.md
- sample.py
- train.py
- JourneyDB.yaml
- __init__.py
- data_reader.py
- dataset.py
- __init__.py
- components.py
- nextdit.py
- sample.sh
- sample_img2img.sh
- sample_sd3.sh
- __init__.py
- demo.py
- grad_norm.py
- imgproc.py
- parallel.py
- README.md
- sample.py
- sample_img2img.py
- sample_sd3.py
- train.py
- train_dreambooth_sd3.py
- transport.py
- JourneyDB.yaml
- settings.yaml
- __init__.py
- data_reader.py
- dataset.py
- 5B_bs512_lr1e-4_bf16_1024px_sdxlvae.sh
- 5B_bs512_lr1e-4_bf16_256px_sdxlvae.sh
- 5B_bs512_lr1e-4_bf16_512px_sdxlvae.sh
- 5B_bs512_lr1e-4_bf16_1024px_sdxlvae.sh
- 5B_bs512_lr1e-4_bf16_256px_sdxlvae.sh
- 5B_bs512_lr1e-4_bf16_512px_sdxlvae.sh
- __init__.py
- components.py
- model.py
- __init__.py
- integrators.py
- path.py
- transport.py
- utils.py
- __init__.py
- cli.py
- group.py
- .isort.cfg
- __init__.py
- demo.py
- entry_point.py
- grad_norm.py
- imgproc.py
- parallel.py
- README.md
- requirements.txt
- train.py
- 2B_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 3B_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 600M_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 7B_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 600M_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- __init__.py
- models.py
- run_32gpus.sh
- run_8gpus.sh
- run_8gpus.sh
- __init__.py
- integrators.py
- path.py
- transport.py
- utils.py
- .isort.cfg
- fid_is.png
- grad_norm.py
- init_loss.py
- parallel.py
- README.md
- sample.py
- train.py
- 2B_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 3B_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 600M_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 7B_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- 600M_bs256_lr5e-4_bf16_qknorm_lognorm.sh
- __init__.py
- models.py
- models1.py
- models2.py
- run_32gpus.sh
- run_8gpus.sh
- run_8gpus.sh
- __init__.py
- integrators.py
- path.py
- transport.py
- utils.py
- grad_norm.py
- loss_spacemoe.png
- loss_timemoe.png
- loss_timespacemoe.png
- moe_model.png
- parallel.py
- README.md
- sample.py
- train.py
- __init__.py
- components.py
- nextdit.py
- CourierPrime-Regular.ttf
- 4x4_corner_1024.png
- 4x4_corner_256.png
- 4x4_corner_64.png
- 4x4_edge1_1024.png
- 4x4_edge1_256.png
- 4x4_edge1_64.png
- 4x4_edge2_1024.png
- 4x4_edge2_256.png
- 4x4_edge2_64.png
- 4x4_inner_1024.png
- 4x4_inner_256.png
- 4x4_inner_64.png
- __init__.py
- jigsaw_helpers.py
- permutations.py
- view_base.py
- view_blur.py
- view_color.py
- view_flip.py
- view_hybrid.py
- view_identity.py
- view_inner_circle.py
- view_jigsaw.py
- view_motion.py
- view_negate.py
- view_patch_permute.py
- view_permute.py
- view_rotate.py
- view_scale.py
- view_skew.py
- view_square_hinge.py
- view_white_balance.py
- .DS_Store
- __init__.py
- animate.py
- samplers.py
- utils.py
- .DS_Store
- animate.py
- environment.yml
- generate.py
- huggingface_login.py
- LICENSE
- MANIFEST.in
- readme.md
- run.sh
- setup.py
- .gitignore
- .isort.cfg
- .pre-commit-config.yaml
- LICENSE
- pyproject.toml
- README.md
- README_cn.md
- requirements.txt
๐ Installation Guide
1. Get the code
git clone https://github.com/Alpha-VLLM/Lumina-T2X
Downloads the entire project code from GitHub to your computer.
cd Lumina-T2X
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
> pip install git+https://github.com/huggingface/diffusers
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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