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DreamEdit-DreamBooth-Models
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model:
  base_learning_rate: 1.0e-06
  target: ldm.models.diffusion.ddpm.LatentDiffusion
  params:
    reg_weight: 1.0
    linear_start: 0.00085
    linear_end: 0.012
    num_timesteps_cond: 1
    log_every_t: 200
    timesteps: 1000
    first_stage_key: image
    cond_stage_key: caption
    image_size: 64
    channels: 4
    cond_stage_trainable: true
    conditioning_key: crossattn
    monitor: val/loss_simple_ema
    scale_factor: 0.18215
    use_ema: false
    embedding_reg_weight: 0.0
    unfreeze_model: true
    model_lr: 1.0e-06
    personalization_config:
      target: ldm.modules.embedding_manager.EmbeddingManager
      params:
        placeholder_strings:
        - '*'
        initializer_words:
        - sculpture
        per_image_tokens: false
        num_vectors_per_token: 1
        progressive_words: false
    unet_config:
      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
      params:
        image_size: 32
        in_channels: 4
        out_channels: 4
        model_channels: 320
        attention_resolutions:
        - 4
        - 2
        - 1
        num_res_blocks: 2
        channel_mult:
        - 1
        - 2
        - 4
        - 4
        num_heads: 8
        use_spatial_transformer: true
        transformer_depth: 1
        context_dim: 768
        use_checkpoint: true
        legacy: false
    first_stage_config:
      target: ldm.models.autoencoder.AutoencoderKL
      params:
        embed_dim: 4
        monitor: val/rec_loss
        ddconfig:
          double_z: true
          z_channels: 4
          resolution: 512
          in_channels: 3
          out_ch: 3
          ch: 128
          ch_mult:
          - 1
          - 2
          - 4
          - 4
          num_res_blocks: 2
          attn_resolutions: []
          dropout: 0.0
        lossconfig:
          target: torch.nn.Identity
    cond_stage_config:
      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
    ckpt_path: stable-diffusion-v-1-4-original/sd-v1-4-full-ema.ckpt
data:
  target: main.DataModuleFromConfig
  params:
    batch_size: 1
    num_workers: 2
    wrap: false
    train:
      target: ldm.data.personalized.PersonalizedBase
      params:
        size: 512
        set: train
        per_image_tokens: false
        repeats: 100
        special_token: rsm
        placeholder_token: sunglasses
    reg:
      target: ldm.data.personalized.PersonalizedBase
      params:
        size: 512
        set: train
        reg: true
        per_image_tokens: false
        repeats: 10
        placeholder_token: sunglasses
    validation:
      target: ldm.data.personalized.PersonalizedBase
      params:
        size: 512
        set: val
        per_image_tokens: false
        repeats: 10
        placeholder_token: sunglasses