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ImagenHub_Multi-Concept_IC
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model:
  base_learning_rate: 1.0e-05
  target: src.imagen_hub.pipelines.custom_diffusion.custom_diffusion_src.src.model.CustomDiffusion
  params:
    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
    add_token: true
    freeze_model: crossattn-kv
    conditioning_key: crossattn
    monitor: val/loss_simple_ema
    scale_factor: 0.18215
    use_ema: false
    unet_config:
      target: src.imagen_hub.pipelines.custom_diffusion.custom_diffusion_src.stable-diffusion.ldm.modules.diffusionmodules.openaimodel.UNetModel
      params:
        image_size: 64
        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: false
        legacy: false
    first_stage_config:
      target: src.imagen_hub.pipelines.custom_diffusion.custom_diffusion_src.stable-diffusion.ldm.models.autoencoder.AutoencoderKL
      params:
        embed_dim: 4
        monitor: val/rec_loss
        ddconfig:
          double_z: true
          z_channels: 4
          resolution: 256
          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: src.imagen_hub.pipelines.custom_diffusion.custom_diffusion_src.src.custom_modules.FrozenCLIPEmbedderWrapper
      params:
        modifier_token: <new1>+<new2>
    ckpt_path: null
data:
  target: train.DataModuleFromConfig
  params:
    batch_size: 2
    num_workers: 4
    wrap: false
    train:
      target: src.finetune_data.MaskBase
      params:
        size: 512
        caption: <new1> flower
        reg_caption: real_reg/samples_flower/caption.txt
        datapath: data/flower
        reg_datapath: real_reg/samples_flower/images.txt
    train2:
      target: src.finetune_data.MaskBase
      params:
        size: 512
        caption: <new2> teddybear
        reg_caption: real_reg/samples_teddybear/caption.txt
        datapath: data/teddybear
        reg_datapath: real_reg/samples_teddybear/images.txt
    validation:
      target: src.finetune_data.MaskBase
      params:
        size: 512
        caption: <new1> flower
        reg_caption: real_reg/samples_flower/caption.txt
        datapath: data/flower
        reg_datapath: real_reg/samples_flower/images.txt