seed
int64 | decoder
dict | data
dict | train
dict | evaluate
dict | tracker
dict |
---|---|---|---|---|---|
1 | {
"unets": [
{
"dim": 256,
"cond_dim": 512,
"image_embed_dim": 768,
"text_embed_dim": 768,
"cond_on_text_encodings": false,
"channels": 3,
"dim_mults": [
1,
2,
3,
4
],
"num_resnet_blocks": 4,
"attn_heads": 8,
"attn_dim_head": 64,
"sparse_attn": true,
"memory_efficient": true,
"self_attn": [
false,
true,
true,
true
]
},
{
"dim": 256,
"cond_dim": 256,
"image_embed_dim": 768,
"text_embed_dim": null,
"cond_on_text_encodings": false,
"channels": 3,
"dim_mults": [
1,
2,
3,
4
],
"num_resnet_blocks": 3,
"attn_heads": null,
"attn_dim_head": null,
"sparse_attn": false,
"memory_efficient": false,
"self_attn": [
false,
false,
false,
false
]
}
],
"image_sizes": [
64,
256
],
"channels": 3,
"timesteps": 1000,
"loss_type": "l2",
"beta_schedule": [
"cosine",
"cosine"
],
"learned_variance": false
} | {
"webdataset_base_url": "pipe:aws s3 cp --quiet s3://s-datasets/laion-aesthetic/data/laion2B-en-aesthetic/{}.tar -",
"img_embeddings_url": "s3://s-datasets/laion-aesthetic/ordered_embeddings/",
"num_workers": 6,
"batch_size": 3,
"start_shard": 0,
"end_shard": 5247,
"shard_width": 5,
"index_width": 4,
"splits": {
"train": 0.75,
"val": 0.15,
"test": 0.1
},
"shuffle_train": false,
"resample_train": true,
"preprocessing": {
"RandomResizedCrop": {
"size": [
256,
256
],
"scale": [
0.75,
1
],
"ratio": [
1,
1
]
},
"ToTensor": true
}
} | {
"epochs": 30,
"lr": 0.00012,
"wd": 0,
"max_grad_norm": 0.5,
"save_every_n_samples": 400000,
"n_sample_images": 10,
"device": "cuda:0",
"epoch_samples": 2000000,
"validation_samples": 60000,
"use_ema": true,
"ema_beta": 0.9999,
"save_all": false,
"save_latest": true,
"save_best": true,
"unet_training_mask": [
false,
true
]
} | {
"n_evaluation_samples": 30,
"FID": {
"feature": 64
},
"LPIPS": {
"net_type": "vgg",
"reduction": "mean"
}
} | {
"data_path": "/fsx/aidan/upsamplers/.tracker-upsampling",
"overwrite_data_path": true,
"log": {
"log_type": "wandb",
"wandb_entity": "veldrovive",
"wandb_project": "upsamplers",
"verbose": true
},
"save": [
{
"save_to": "wandb",
"huggingface_repo": null,
"save_latest_to": null,
"save_best_to": null,
"save_meta_to": null,
"save_type": null
},
{
"save_to": "huggingface",
"huggingface_repo": "Veldrovive/upsamplers",
"save_latest_to": "latest.pth",
"save_best_to": "best.pth",
"save_meta_to": "./",
"save_type": "model"
}
]
} |