ldm_configs:

  scheduler_config:
    target: sgm.lr_scheduler.LambdaLinearScheduler
    params:
      warm_up_steps: [10000]
      cycle_lengths: [10000000000000]
      f_start: [1.e-6]
      f_max: [1.]
      f_min: [1.]

  denoiser_config:
    target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser
    params:
      num_idx: 1000

      scaling_config:
        target: sgm.modules.diffusionmodules.denoiser_scaling.EpsScaling
      discretization_config:
        target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization

  conditioner_config:
    target: sgm.modules.GeneralConditioner
    params:
      emb_models:
        - is_trainable: False
          input_key: caption
          ucg_rate: 0.1
          legacy_ucg_value: ""
          target: sgm.modules.encoders.modules.FrozenCLIPEmbedder
          params:
            always_return_pooled: True

  loss_fn_config:
    target: sgm.modules.diffusionmodules.loss.StandardDiffusionLoss
    params:
      loss_weighting_config:
        target: sgm.modules.diffusionmodules.loss_weighting.EpsWeighting
      sigma_sampler_config:
        target: sgm.modules.diffusionmodules.sigma_sampling.DiscreteSampling
        params:
          num_idx: 1000

          discretization_config:
            target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization

  sampler_config:
    target: sgm.modules.diffusionmodules.sampling.EulerEDMSampler
    params:
      num_steps: 250
      # num_steps: 50

      discretization_config:
        target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization

      guider_config:
        target: sgm.modules.diffusionmodules.guiders.VanillaCFG
        params:
          # scale: 1.0
          scale: 6.5