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    "seed": 1,
    
    "decoder": {
        "unets": [
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                "dim": 416,
                "cond_dim": 512,
                "image_embed_dim": 768,
                "text_embed_dim": 768,
                "cond_on_text_encodings": true,
                "channels": 3,
                "dim_mults": [1, 2, 3, 4],
                "num_resnet_blocks": 4,
                "attn_heads": 8,
                "attn_dim_head": 64,
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            "make": "openai",
            "model": "ViT-L/14"
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        "image_sizes": [64],
        "channels": 3,
        "timesteps": 1000,
        "loss_type": "l2",
        "beta_schedule": ["cosine"],
        "learned_variance": true
    },
    "data": {
        "webdataset_base_url": "pipe:aws s3 cp --quiet s3://s-datasets/laion-aesthetic/data/laion2B-en-aesthetic/{}.tar -", 
        "embeddings_url": "s3://s-datasets/laion-aesthetic/ordered_embeddings/",
        "num_workers": 12,
        "batch_size": 22,
        "start_shard": 0,
        "end_shard": 5247,
        "shard_width": 5,
        "index_width": 4,
        "splits": {
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            "val": 0.15,
            "test": 0.1
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        "shuffle_train": false,
        "resample_train": true,
        "preprocessing": {
            "RandomResizedCrop": {
                "size": [64, 64],
                "scale": [0.75, 1.0],
                "ratio": [1.0, 1.0]
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            "ToTensor": true
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    "train": {
        "epochs": 1000,
        "lr":1e-4,
        "wd": 0.01,
        "max_grad_norm": 0.5,
        "save_every_n_samples": 200000,
        "find_unused_parameters": true,
        "n_sample_images": 10,
        "device": "cuda:0",
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        "validation_samples": 200000,
        "use_ema": true,
        "ema_beta": 0.99,
        "save_all": false,
        "save_latest": true,
        "save_best": true,
        "unet_training_mask": [true]
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    "evaluate": {
        "n_evaluation_samples": 30,
        "FID": {
            "feature": 64
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        "LPIPS": {
            "net_type": "vgg",
            "reduction": "mean"
        }
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    "tracker": {
        "data_path": ".tracker-data",
        "overwrite_data_path": true,

        "log": {
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            "wandb_entity": "veldrovive",
            "wandb_project": "trackers-test",
            "wandb_run_name": "nousr config",

            "verbose": true
        },

        "load": {
            "load_from": "local",
            "file_path": "/home/aidan/DALLE2-pytorch/latest.pth"
        },

        "save": [{
            "save_to": "wandb"
        },
        {
            "save_to": "huggingface",
            "huggingface_repo": "Veldrovive/test_model",

            "save_latest_to": "latest_{epoch}.pth",

            "save_type": "model"
        }]
    }
}