adapter_config.json

{
  "alpha_pattern": {},
  "auto_mapping": {
    "base_model_class": "ControlNetModel",
    "parent_library": "diffusers.models.controlnet"
  },
  "base_model_name_or_path": null,
  "bias": "none",
  "fan_in_fan_out": false,
  "inference_mode": true,
  "init_lora_weights": true,
  "layer_replication": null,
  "layers_pattern": null,
  "layers_to_transform": null,
  "loftq_config": {},
  "lora_alpha": 32,
  "lora_dropout": 0.0,
  "megatron_config": null,
  "megatron_core": "megatron.core",
  "modules_to_save": [
    "controlnet_cond_embedding.conv_in",
    "controlnet_cond_embedding.blocks.0",
    "controlnet_cond_embedding.blocks.1",
    "controlnet_cond_embedding.blocks.2",
    "controlnet_cond_embedding.blocks.3",
    "controlnet_cond_embedding.blocks.4",
    "controlnet_cond_embedding.blocks.5",
    "controlnet_cond_embedding.conv_out",
    "controlnet_down_blocks.0",
    "controlnet_down_blocks.1",
    "controlnet_down_blocks.2",
    "controlnet_down_blocks.3",
    "controlnet_down_blocks.4",
    "controlnet_down_blocks.5",
    "controlnet_down_blocks.6",
    "controlnet_down_blocks.7",
    "controlnet_down_blocks.8",
    "controlnet_down_blocks.9",
    "controlnet_down_blocks.10",
    "controlnet_down_blocks.11",
    "controlnet_mid_block",
    "norm",
    "norm1",
    "norm2",
    "norm3"
  ],
  "peft_type": "LORA",
  "r": 32,
  "rank_pattern": {},
  "revision": null,
  "target_modules": [
    "ff.net.0.proj",
    "proj_in",
    "to_v",
    "conv2",
    "conv_shortcut",
    "conv",
    "proj_out",
    "conv_in",
    "to_q",
    "to_out.0",
    "ff.net.2",
    "linear_2",
    "to_k",
    "time_emb_proj",
    "conv1",
    "linear_1"
  ],
  "task_type": null,
  "use_dora": true,
  "use_rslora": false
}