Training settings

• Training epochs: 0

• Training steps: 2000

• Learning rate: 8e-05

• Effective batch size: 2

  • Micro-batch size: 2

  • Gradient accumulation steps: 1

  • Number of GPUs: 1

• Prediction type: flow-matching

• Rescaled betas zero SNR: False

• Optimizer: optimi-lion

• Precision: Pure BF16

• Quantised: Yes: int8-quanto

• Xformers: Not used

• LyCORIS Config:

{
    "algo": "lokr",
    "multiplier": 1.0,
    "linear_dim": 10000,
    "linear_alpha": 1,
    "factor": 16,
    "apply_preset": {
        "target_module": [
            "Attention",
            "FeedForward"
        ],
        "module_algo_map": {
            "Attention": {
                "factor": 16
            },
            "FeedForward": {
                "factor": 8
            }
        }
    }
}

Datasets

met-scrape-512

• Repeats: 1

• Total number of images: 1198

• Total number of aspect buckets: 4

• Resolution: 0.262144 megapixels

• Cropped: False

• Crop style: None

• Crop aspect: None