target: patch_flow.trainer_t2i.PatchForcingT2ITrainer

params:
  model: ${oc.select:model, null}
  first_stage: ${oc.select:autoencoder, null}
  
  # patch flow forcing
  flow:
    target: patch_flow.flow_pf.PatchFlowForcing
    params:
      patch_size: 2
      timestep_sampler:
        target: patch_flow.timestep_schedules.LogitNormalTruncatedGaussian
        params:
          std: 0.6
          loc: 0.5
          scale: 1.0

  # text conditioning
  text_encoder:
    target: patch_flow.text_encoder.Qwen3VLEmbedder2B
    params:
      compile: true
  text_dropout_prob: 0.1
  text_key: txt
  
  # learning
  lr: 1e-4
  weight_decay: 0.0
  ema_rate: 0.9999
  lr_scheduler_cfg: ${oc.select:lr_scheduler, null}
  rope_jittering: true
  uncertainty_weight: 0.01

  # sampling
  sample_kwargs:
    num_steps: 50
    progress: False