---
job: extension
config:
  name: "lzy_flux_lora_v1"
  process:
    - type: 'sd_trainer'
      training_folder: "/hy-tmp/output"
      device: cuda:0
      trigger_word: "<lzy>"
      network:
        type: "lora"
        linear: 32
        linear_alpha: 32
      save:
        dtype: float16
        save_every: 200
        max_step_saves_to_keep: 4
        push_to_hub: false
      datasets:
        - folder_path: "/hy-tmp/datasets/lzy_images"
          caption_ext: "txt"
          caption_dropout_rate: 0.05
          shuffle_tokens: false
          cache_latents_to_disk: true
          resolution: [ 512, 768, 1024 ]
      train:
        batch_size: 2
        steps: 1500
        gradient_accumulation_steps: 1
        train_unet: true
        train_text_encoder: false
        gradient_checkpointing: true
        noise_scheduler: "flowmatch"
        optimizer: "adamw8bit"
        lr: 1e-4
        ema_config:
          use_ema: true
          ema_decay: 0.99
        dtype: bf16
      model:
        name_or_path: "black-forest-labs/FLUX.1-dev"
        is_flux: true
        quantize: true
      sample:
        sampler: "flowmatch"
        sample_every: 200
        width: 1024
        height: 1024
        prompts:
          - "<lzy> wearing a white t-shirt, standing in a park, natural lighting, upper body shot"
          - "<lzy> in a black suit, sitting in an office, professional photo, medium shot"
          - "<lzy> wearing sunglasses, outdoor street, casual style, close-up portrait"
          - "<lzy> holding a coffee cup, sitting at a cafe, warm lighting, upper body shot"
        neg: ""
        seed: 42
        walk_seed: true
        guidance_scale: 4
        sample_steps: 20
meta:
  name: "[name]"
  version: '1.0'