├── .gitignore ├── LICENSE.md ├── README.md ├── demo ├── imagenet_example.py ├── safety_checker.py └── text_to_image_sdxl.py ├── dnnlib ├── __init__.py └── util.py ├── docs └── teaser.jpg ├── experiments ├── imagenet │ ├── README.md │ ├── imagenet_gan_classifier_genloss3e-3_diffusion1000_lr2e-6_scratch.sh │ ├── imagenet_gan_classifier_genloss3e-3_diffusion1000_lr5e-7_resume.sh │ └── imagenet_lr2e-6_scratch.sh ├── sdv1.5 │ ├── README.md │ ├── laion6.25_sd_baseline_8node_guidance1.75_lr1e-5_seed10_dfake10_from_scratch.sh │ └── laion6.25_sd_baseline_8node_guidance1.75_lr5e-7_seed10_dfake10_diffusion1000_gan1e-3_noode_resume_fixdata.sh └── sdxl │ ├── README.md │ ├── sdxl_cond399_8node_lr5e-7_1step_diffusion1000_gan5e-3_guidance8_noinit_noode.sh │ ├── sdxl_cond999_8node_lr5e-5_denoising4step_diffusion1000_gan5e-3_guidance8_noinit_noode_backsim_scratch_lora.sh │ ├── sdxl_cond999_8node_lr5e-7_denoising4step_diffusion1000_gan5e-3_guidance8_noinit_noode_backsim_scratch.sh │ └── sdxl_lr1e-5_8node_ode_pretraining_10k_cond399.sh ├── figures └── README.md ├── fsdp_configs └── fsdp_1node_debug.yaml ├── main ├── coco_eval │ ├── captions_coco14_test.txt │ ├── cleanfid │ │ ├── __init__.py │ │ ├── clip_features.py │ │ ├── downloads_helper.py │ │ ├── features.py │ │ ├── fid.py │ │ ├── inception_pytorch.py │ │ ├── inception_torchscript.py │ │ ├── leaderboard.py │ │ ├── resize.py │ │ ├── utils.py │ │ └── wrappers.py │ └── coco_evaluator.py ├── data │ ├── create_imagenet_lmdb.py │ ├── create_lmdb_iterative.py │ └── lmdb_dataset.py ├── edm │ ├── edm_guidance.py │ ├── edm_network.py │ ├── edm_unified_model.py │ ├── test_folder_edm.py │ └── train_edm.py ├── sd_guidance.py ├── sd_image_dataset.py ├── sd_unet_forward.py ├── sd_unified_model.py ├── sdxl │ ├── create_sdxl_fsdp_configs.py │ ├── data_process.py │ ├── extract_lora_module.py │ ├── generate_noise_image_pairs_laion_sdxl.py │ ├── generate_vae_latents.py │ ├── sdxl_ode_dataset.py │ ├── sdxl_text_encoder.py │ └── test_folder_sdxl.py ├── test_folder_sd.py ├── train_sd.py ├── train_sd_ode.py └── utils.py ├── requirements.txt ├── scripts ├── download_hf_checkpoint.sh ├── download_imagenet.sh ├── download_sdv15.sh ├── download_sdxl.sh ├── download_sdxl_1step_ode_pairs_ckpt.sh └── download_sdxl_ode_pair_10k_lmdb.sh ├── setup.py ├── third_party └── edm │ ├── Dockerfile │ ├── LICENSE.txt │ ├── README.md │ ├── dataset_tool.py │ ├── dnnlib │ ├── __init__.py │ └── util.py │ ├── docs │ ├── afhqv2-64x64.png │ ├── cifar10-32x32.png │ ├── dataset-tool-help.txt │ ├── ffhq-64x64.png │ ├── fid-help.txt │ ├── generate-help.txt │ ├── imagenet-64x64.png │ ├── teaser-1280x640.jpg │ ├── teaser-1920x640.jpg │ ├── teaser-640x480.jpg │ └── train-help.txt │ ├── environment.yml │ ├── example.py │ ├── fid.py │ ├── generate.py │ ├── torch_utils │ ├── __init__.py │ ├── distributed.py │ ├── misc.py │ ├── persistence.py │ └── training_stats.py │ ├── train.py │ └── training │ ├── __init__.py │ ├── augment.py │ ├── dataset.py │ 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