Add ControlLoRA to sd-webui-controlnet

[lavinal712]

ControlLoRA: https://github.com/HighCWu/control-lora-v2
ControlLoRA (trained by peft lora): https://github.com/lavinal712/control-lora-v3
Please consider the new feature. ControlLoRA (peft) has different keys name from control-lora (stableai):

base_model.model.controlnet_cond_embedding.blocks.0.bias
base_model.model.controlnet_cond_embedding.blocks.0.weight
base_model.model.controlnet_cond_embedding.blocks.1.bias
base_model.model.controlnet_cond_embedding.blocks.1.weight
base_model.model.controlnet_cond_embedding.blocks.2.bias
base_model.model.controlnet_cond_embedding.blocks.2.weight
base_model.model.controlnet_cond_embedding.blocks.3.bias
base_model.model.controlnet_cond_embedding.blocks.3.weight
base_model.model.controlnet_cond_embedding.blocks.4.bias
base_model.model.controlnet_cond_embedding.blocks.4.weight
base_model.model.controlnet_cond_embedding.blocks.5.bias
base_model.model.controlnet_cond_embedding.blocks.5.weight
base_model.model.controlnet_cond_embedding.conv_in.bias
base_model.model.controlnet_cond_embedding.conv_in.weight
base_model.model.controlnet_cond_embedding.conv_out.bias
base_model.model.controlnet_cond_embedding.conv_out.weight
base_model.model.controlnet_down_blocks.0.bias
base_model.model.controlnet_down_blocks.0.weight
base_model.model.controlnet_down_blocks.1.bias
base_model.model.controlnet_down_blocks.1.weight
base_model.model.controlnet_down_blocks.10.bias
base_model.model.controlnet_down_blocks.10.weight
base_model.model.controlnet_down_blocks.11.bias
base_model.model.controlnet_down_blocks.11.weight
base_model.model.controlnet_down_blocks.2.bias
base_model.model.controlnet_down_blocks.2.weight
base_model.model.controlnet_down_blocks.3.bias
base_model.model.controlnet_down_blocks.3.weight
base_model.model.controlnet_down_blocks.4.bias
base_model.model.controlnet_down_blocks.4.weight
base_model.model.controlnet_down_blocks.5.bias
base_model.model.controlnet_down_blocks.5.weight
base_model.model.controlnet_down_blocks.6.bias
base_model.model.controlnet_down_blocks.6.weight
base_model.model.controlnet_down_blocks.7.bias
base_model.model.controlnet_down_blocks.7.weight
base_model.model.controlnet_down_blocks.8.bias
base_model.model.controlnet_down_blocks.8.weight
base_model.model.controlnet_down_blocks.9.bias
base_model.model.controlnet_down_blocks.9.weight
base_model.model.controlnet_mid_block.bias
base_model.model.controlnet_mid_block.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.lora_B.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.lora_A.weight
base_model.model.down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_q.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_q.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.lora_B.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0.proj.lora_A.weight
base_model.model.down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0.proj.lora_B.weight
...