ControlLDM: Running in eps-prediction mode
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.
DiffusionWrapper has 865.91 M params.
making attention of type 'vanilla-xformers' with 512 in_channels
building MemoryEfficientAttnBlock with 512 in_channels...
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla-xformers' with 512 in_channels
building MemoryEfficientAttnBlock with 512 in_channels...
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.
Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
Loading model from: /root/anaconda3/envs/diffbir/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth
copy weights: betas -> betas
copy weights: alphas_cumprod -> alphas_cumprod
copy weights: alphas_cumprod_prev -> alphas_cumprod_prev
copy weights: sqrt_alphas_cumprod -> sqrt_alphas_cumprod
copy weights: sqrt_one_minus_alphas_cumprod -> sqrt_one_minus_alphas_cumprod
copy weights: log_one_minus_alphas_cumprod -> log_one_minus_alphas_cumprod
copy weights: sqrt_recip_alphas_cumprod -> sqrt_recip_alphas_cumprod
copy weights: sqrt_recipm1_alphas_cumprod -> sqrt_recipm1_alphas_cumprod
copy weights: posterior_variance -> posterior_variance
copy weights: posterior_log_variance_clipped -> posterior_log_variance_clipped
copy weights: posterior_mean_coef1 -> posterior_mean_coef1
copy weights: posterior_mean_coef2 -> posterior_mean_coef2
copy weights: logvar -> logvar
These weights are newly added: logvar
copy weights: model.diffusion_model.time_embed.0.weight -> model.diffusion_model.time_embed.0.weight
copy weights: model.diffusion_model.time_embed.0.bias -> model.diffusion_model.time_embed.0.bias
copy weights: model.diffusion_model.time_embed.2.weight -> model.diffusion_model.time_embed.2.weight
copy weights: model.diffusion_model.time_embed.2.bias -> model.diffusion_model.time_embed.2.bias
copy weights: model.diffusion_model.input_blocks.0.0.weight -> model.diffusion_model.input_blocks.0.0.weight
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copy weights: model.diffusion_model.input_blocks.1.0.in_layers.0.bias -> model.diffusion_model.input_blocks.1.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.1.0.in_layers.2.weight -> model.diffusion_model.input_blocks.1.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.1.0.in_layers.2.bias -> model.diffusion_model.input_blocks.1.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.1.0.emb_layers.1.weight -> model.diffusion_model.input_blocks.1.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.1.0.emb_layers.1.bias -> model.diffusion_model.input_blocks.1.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.1.0.out_layers.0.weight -> model.diffusion_model.input_blocks.1.0.out_layers.0.weight
copy weights: model.diffusion_model.input_blocks.1.0.out_layers.0.bias -> model.diffusion_model.input_blocks.1.0.out_layers.0.bias
copy weights: model.diffusion_model.input_blocks.1.0.out_layers.3.weight -> model.diffusion_model.input_blocks.1.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.1.0.out_layers.3.bias -> model.diffusion_model.input_blocks.1.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.1.1.norm.weight -> model.diffusion_model.input_blocks.1.1.norm.weight
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copy weights: model.diffusion_model.input_blocks.1.1.proj_in.weight -> model.diffusion_model.input_blocks.1.1.proj_in.weight
copy weights: model.diffusion_model.input_blocks.1.1.proj_in.bias -> model.diffusion_model.input_blocks.1.1.proj_in.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_q.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_q.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_k.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_k.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_v.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_v.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.bias -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.bias -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.weight
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copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_q.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_q.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_k.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_v.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_v.weight
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copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.bias -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.bias -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.weight -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.bias -> model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.bias
copy weights: model.diffusion_model.input_blocks.1.1.proj_out.weight -> model.diffusion_model.input_blocks.1.1.proj_out.weight
copy weights: model.diffusion_model.input_blocks.1.1.proj_out.bias -> model.diffusion_model.input_blocks.1.1.proj_out.bias
copy weights: model.diffusion_model.input_blocks.2.0.in_layers.0.weight -> model.diffusion_model.input_blocks.2.0.in_layers.0.weight
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copy weights: model.diffusion_model.input_blocks.2.0.in_layers.2.bias -> model.diffusion_model.input_blocks.2.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.2.0.emb_layers.1.weight -> model.diffusion_model.input_blocks.2.0.emb_layers.1.weight
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copy weights: model.diffusion_model.input_blocks.2.0.out_layers.3.bias -> model.diffusion_model.input_blocks.2.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.2.1.norm.weight -> model.diffusion_model.input_blocks.2.1.norm.weight
copy weights: model.diffusion_model.input_blocks.2.1.norm.bias -> model.diffusion_model.input_blocks.2.1.norm.bias
copy weights: model.diffusion_model.input_blocks.2.1.proj_in.weight -> model.diffusion_model.input_blocks.2.1.proj_in.weight
copy weights: model.diffusion_model.input_blocks.2.1.proj_in.bias -> model.diffusion_model.input_blocks.2.1.proj_in.bias
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copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_k.weight -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_k.weight
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copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj.weight -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj.weight
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copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_v.weight -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_v.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.weight -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.bias -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1.weight -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1.bias -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2.weight -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2.bias -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3.weight -> model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3.weight
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copy weights: cond_stage_model.model.transformer.resblocks.21.mlp.c_proj.weight -> cond_stage_model.model.transformer.resblocks.21.mlp.c_proj.weight
copy weights: cond_stage_model.model.transformer.resblocks.21.mlp.c_proj.bias -> cond_stage_model.model.transformer.resblocks.21.mlp.c_proj.bias
copy weights: cond_stage_model.model.transformer.resblocks.22.ln_1.weight -> cond_stage_model.model.transformer.resblocks.22.ln_1.weight
copy weights: cond_stage_model.model.transformer.resblocks.22.ln_1.bias -> cond_stage_model.model.transformer.resblocks.22.ln_1.bias
copy weights: cond_stage_model.model.transformer.resblocks.22.attn.in_proj_weight -> cond_stage_model.model.transformer.resblocks.22.attn.in_proj_weight
copy weights: cond_stage_model.model.transformer.resblocks.22.attn.in_proj_bias -> cond_stage_model.model.transformer.resblocks.22.attn.in_proj_bias
copy weights: cond_stage_model.model.transformer.resblocks.22.attn.out_proj.weight -> cond_stage_model.model.transformer.resblocks.22.attn.out_proj.weight
copy weights: cond_stage_model.model.transformer.resblocks.22.attn.out_proj.bias -> cond_stage_model.model.transformer.resblocks.22.attn.out_proj.bias
copy weights: cond_stage_model.model.transformer.resblocks.22.ln_2.weight -> cond_stage_model.model.transformer.resblocks.22.ln_2.weight
copy weights: cond_stage_model.model.transformer.resblocks.22.ln_2.bias -> cond_stage_model.model.transformer.resblocks.22.ln_2.bias
copy weights: cond_stage_model.model.transformer.resblocks.22.mlp.c_fc.weight -> cond_stage_model.model.transformer.resblocks.22.mlp.c_fc.weight
copy weights: cond_stage_model.model.transformer.resblocks.22.mlp.c_fc.bias -> cond_stage_model.model.transformer.resblocks.22.mlp.c_fc.bias
copy weights: cond_stage_model.model.transformer.resblocks.22.mlp.c_proj.weight -> cond_stage_model.model.transformer.resblocks.22.mlp.c_proj.weight
copy weights: cond_stage_model.model.transformer.resblocks.22.mlp.c_proj.bias -> cond_stage_model.model.transformer.resblocks.22.mlp.c_proj.bias
copy weights: cond_stage_model.model.transformer.resblocks.23.ln_1.weight -> cond_stage_model.model.transformer.resblocks.23.ln_1.weight
copy weights: cond_stage_model.model.transformer.resblocks.23.ln_1.bias -> cond_stage_model.model.transformer.resblocks.23.ln_1.bias
copy weights: cond_stage_model.model.transformer.resblocks.23.attn.in_proj_weight -> cond_stage_model.model.transformer.resblocks.23.attn.in_proj_weight
copy weights: cond_stage_model.model.transformer.resblocks.23.attn.in_proj_bias -> cond_stage_model.model.transformer.resblocks.23.attn.in_proj_bias
copy weights: cond_stage_model.model.transformer.resblocks.23.attn.out_proj.weight -> cond_stage_model.model.transformer.resblocks.23.attn.out_proj.weight
copy weights: cond_stage_model.model.transformer.resblocks.23.attn.out_proj.bias -> cond_stage_model.model.transformer.resblocks.23.attn.out_proj.bias
copy weights: cond_stage_model.model.transformer.resblocks.23.ln_2.weight -> cond_stage_model.model.transformer.resblocks.23.ln_2.weight
copy weights: cond_stage_model.model.transformer.resblocks.23.ln_2.bias -> cond_stage_model.model.transformer.resblocks.23.ln_2.bias
copy weights: cond_stage_model.model.transformer.resblocks.23.mlp.c_fc.weight -> cond_stage_model.model.transformer.resblocks.23.mlp.c_fc.weight
copy weights: cond_stage_model.model.transformer.resblocks.23.mlp.c_fc.bias -> cond_stage_model.model.transformer.resblocks.23.mlp.c_fc.bias
copy weights: cond_stage_model.model.transformer.resblocks.23.mlp.c_proj.weight -> cond_stage_model.model.transformer.resblocks.23.mlp.c_proj.weight
copy weights: cond_stage_model.model.transformer.resblocks.23.mlp.c_proj.bias -> cond_stage_model.model.transformer.resblocks.23.mlp.c_proj.bias
copy weights: cond_stage_model.model.token_embedding.weight -> cond_stage_model.model.token_embedding.weight
copy weights: cond_stage_model.model.ln_final.weight -> cond_stage_model.model.ln_final.weight
copy weights: cond_stage_model.model.ln_final.bias -> cond_stage_model.model.ln_final.bias
copy weights: model.diffusion_model.time_embed.0.weight -> control_model.time_embed.0.weight
copy weights: model.diffusion_model.time_embed.0.bias -> control_model.time_embed.0.bias
copy weights: model.diffusion_model.time_embed.2.weight -> control_model.time_embed.2.weight
copy weights: model.diffusion_model.time_embed.2.bias -> control_model.time_embed.2.bias
copy weights: model.diffusion_model.input_blocks.0.0.weight -> control_model.input_blocks.0.0.weight
add zero weight to model.diffusion_model.input_blocks.0.0.weight in pretrained weights, newly added channels = 4
copy weights: model.diffusion_model.input_blocks.0.0.bias -> control_model.input_blocks.0.0.bias
copy weights: model.diffusion_model.input_blocks.1.0.in_layers.0.weight -> control_model.input_blocks.1.0.in_layers.0.weight
copy weights: model.diffusion_model.input_blocks.1.0.in_layers.0.bias -> control_model.input_blocks.1.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.1.0.in_layers.2.weight -> control_model.input_blocks.1.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.1.0.in_layers.2.bias -> control_model.input_blocks.1.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.1.0.emb_layers.1.weight -> control_model.input_blocks.1.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.1.0.emb_layers.1.bias -> control_model.input_blocks.1.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.1.0.out_layers.0.weight -> control_model.input_blocks.1.0.out_layers.0.weight
copy weights: model.diffusion_model.input_blocks.1.0.out_layers.0.bias -> control_model.input_blocks.1.0.out_layers.0.bias
copy weights: model.diffusion_model.input_blocks.1.0.out_layers.3.weight -> control_model.input_blocks.1.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.1.0.out_layers.3.bias -> control_model.input_blocks.1.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.1.1.norm.weight -> control_model.input_blocks.1.1.norm.weight
copy weights: model.diffusion_model.input_blocks.1.1.norm.bias -> control_model.input_blocks.1.1.norm.bias
copy weights: model.diffusion_model.input_blocks.1.1.proj_in.weight -> control_model.input_blocks.1.1.proj_in.weight
copy weights: model.diffusion_model.input_blocks.1.1.proj_in.bias -> control_model.input_blocks.1.1.proj_in.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_q.weight -> control_model.input_blocks.1.1.transformer_blocks.0.attn1.to_q.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_k.weight -> control_model.input_blocks.1.1.transformer_blocks.0.attn1.to_k.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_v.weight -> control_model.input_blocks.1.1.transformer_blocks.0.attn1.to_v.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.weight -> control_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.bias -> control_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.weight -> control_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.bias -> control_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.weight -> control_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.bias -> control_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_q.weight -> control_model.input_blocks.1.1.transformer_blocks.0.attn2.to_q.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_k.weight -> control_model.input_blocks.1.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_v.weight -> control_model.input_blocks.1.1.transformer_blocks.0.attn2.to_v.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0.weight -> control_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0.bias -> control_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.weight -> control_model.input_blocks.1.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.bias -> control_model.input_blocks.1.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.weight -> control_model.input_blocks.1.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.bias -> control_model.input_blocks.1.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.weight -> control_model.input_blocks.1.1.transformer_blocks.0.norm3.weight
copy weights: model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.bias -> control_model.input_blocks.1.1.transformer_blocks.0.norm3.bias
copy weights: model.diffusion_model.input_blocks.1.1.proj_out.weight -> control_model.input_blocks.1.1.proj_out.weight
copy weights: model.diffusion_model.input_blocks.1.1.proj_out.bias -> control_model.input_blocks.1.1.proj_out.bias
copy weights: model.diffusion_model.input_blocks.2.0.in_layers.0.weight -> control_model.input_blocks.2.0.in_layers.0.weight
copy weights: model.diffusion_model.input_blocks.2.0.in_layers.0.bias -> control_model.input_blocks.2.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.2.0.in_layers.2.weight -> control_model.input_blocks.2.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.2.0.in_layers.2.bias -> control_model.input_blocks.2.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.2.0.emb_layers.1.weight -> control_model.input_blocks.2.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.2.0.emb_layers.1.bias -> control_model.input_blocks.2.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.2.0.out_layers.0.weight -> control_model.input_blocks.2.0.out_layers.0.weight
copy weights: model.diffusion_model.input_blocks.2.0.out_layers.0.bias -> control_model.input_blocks.2.0.out_layers.0.bias
copy weights: model.diffusion_model.input_blocks.2.0.out_layers.3.weight -> control_model.input_blocks.2.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.2.0.out_layers.3.bias -> control_model.input_blocks.2.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.2.1.norm.weight -> control_model.input_blocks.2.1.norm.weight
copy weights: model.diffusion_model.input_blocks.2.1.norm.bias -> control_model.input_blocks.2.1.norm.bias
copy weights: model.diffusion_model.input_blocks.2.1.proj_in.weight -> control_model.input_blocks.2.1.proj_in.weight
copy weights: model.diffusion_model.input_blocks.2.1.proj_in.bias -> control_model.input_blocks.2.1.proj_in.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_q.weight -> control_model.input_blocks.2.1.transformer_blocks.0.attn1.to_q.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_k.weight -> control_model.input_blocks.2.1.transformer_blocks.0.attn1.to_k.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_v.weight -> control_model.input_blocks.2.1.transformer_blocks.0.attn1.to_v.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_out.0.weight -> control_model.input_blocks.2.1.transformer_blocks.0.attn1.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_out.0.bias -> control_model.input_blocks.2.1.transformer_blocks.0.attn1.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj.weight -> control_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj.bias -> control_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.2.weight -> control_model.input_blocks.2.1.transformer_blocks.0.ff.net.2.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.2.bias -> control_model.input_blocks.2.1.transformer_blocks.0.ff.net.2.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_q.weight -> control_model.input_blocks.2.1.transformer_blocks.0.attn2.to_q.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight -> control_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_v.weight -> control_model.input_blocks.2.1.transformer_blocks.0.attn2.to_v.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.weight -> control_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.bias -> control_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1.weight -> control_model.input_blocks.2.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1.bias -> control_model.input_blocks.2.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2.weight -> control_model.input_blocks.2.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2.bias -> control_model.input_blocks.2.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3.weight -> control_model.input_blocks.2.1.transformer_blocks.0.norm3.weight
copy weights: model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3.bias -> control_model.input_blocks.2.1.transformer_blocks.0.norm3.bias
copy weights: model.diffusion_model.input_blocks.2.1.proj_out.weight -> control_model.input_blocks.2.1.proj_out.weight
copy weights: model.diffusion_model.input_blocks.2.1.proj_out.bias -> control_model.input_blocks.2.1.proj_out.bias
copy weights: model.diffusion_model.input_blocks.3.0.op.weight -> control_model.input_blocks.3.0.op.weight
copy weights: model.diffusion_model.input_blocks.3.0.op.bias -> control_model.input_blocks.3.0.op.bias
copy weights: model.diffusion_model.input_blocks.4.0.in_layers.0.weight -> control_model.input_blocks.4.0.in_layers.0.weight
copy weights: model.diffusion_model.input_blocks.4.0.in_layers.0.bias -> control_model.input_blocks.4.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.4.0.in_layers.2.weight -> control_model.input_blocks.4.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.4.0.in_layers.2.bias -> control_model.input_blocks.4.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.4.0.emb_layers.1.weight -> control_model.input_blocks.4.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.4.0.emb_layers.1.bias -> control_model.input_blocks.4.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.4.0.out_layers.0.weight -> control_model.input_blocks.4.0.out_layers.0.weight
copy weights: model.diffusion_model.input_blocks.4.0.out_layers.0.bias -> control_model.input_blocks.4.0.out_layers.0.bias
copy weights: model.diffusion_model.input_blocks.4.0.out_layers.3.weight -> control_model.input_blocks.4.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.4.0.out_layers.3.bias -> control_model.input_blocks.4.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.4.0.skip_connection.weight -> control_model.input_blocks.4.0.skip_connection.weight
copy weights: model.diffusion_model.input_blocks.4.0.skip_connection.bias -> control_model.input_blocks.4.0.skip_connection.bias
copy weights: model.diffusion_model.input_blocks.4.1.norm.weight -> control_model.input_blocks.4.1.norm.weight
copy weights: model.diffusion_model.input_blocks.4.1.norm.bias -> control_model.input_blocks.4.1.norm.bias
copy weights: model.diffusion_model.input_blocks.4.1.proj_in.weight -> control_model.input_blocks.4.1.proj_in.weight
copy weights: model.diffusion_model.input_blocks.4.1.proj_in.bias -> control_model.input_blocks.4.1.proj_in.bias
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q.weight -> control_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k.weight -> control_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v.weight -> control_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight -> control_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.bias -> control_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight -> control_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.bias -> control_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.bias
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.weight -> control_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.bias -> control_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.bias
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q.weight -> control_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight -> control_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight -> control_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight -> control_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.bias -> control_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1.weight -> control_model.input_blocks.4.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1.bias -> control_model.input_blocks.4.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.weight -> control_model.input_blocks.4.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.bias -> control_model.input_blocks.4.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.weight -> control_model.input_blocks.4.1.transformer_blocks.0.norm3.weight
copy weights: model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.bias -> control_model.input_blocks.4.1.transformer_blocks.0.norm3.bias
copy weights: model.diffusion_model.input_blocks.4.1.proj_out.weight -> control_model.input_blocks.4.1.proj_out.weight
copy weights: model.diffusion_model.input_blocks.4.1.proj_out.bias -> control_model.input_blocks.4.1.proj_out.bias
copy weights: model.diffusion_model.input_blocks.5.0.in_layers.0.weight -> control_model.input_blocks.5.0.in_layers.0.weight
copy weights: model.diffusion_model.input_blocks.5.0.in_layers.0.bias -> control_model.input_blocks.5.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.5.0.in_layers.2.weight -> control_model.input_blocks.5.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.5.0.in_layers.2.bias -> control_model.input_blocks.5.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.5.0.emb_layers.1.weight -> control_model.input_blocks.5.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.5.0.emb_layers.1.bias -> control_model.input_blocks.5.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.5.0.out_layers.0.weight -> control_model.input_blocks.5.0.out_layers.0.weight
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copy weights: model.diffusion_model.input_blocks.5.0.out_layers.3.weight -> control_model.input_blocks.5.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.5.0.out_layers.3.bias -> control_model.input_blocks.5.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.5.1.norm.weight -> control_model.input_blocks.5.1.norm.weight
copy weights: model.diffusion_model.input_blocks.5.1.norm.bias -> control_model.input_blocks.5.1.norm.bias
copy weights: model.diffusion_model.input_blocks.5.1.proj_in.weight -> control_model.input_blocks.5.1.proj_in.weight
copy weights: model.diffusion_model.input_blocks.5.1.proj_in.bias -> control_model.input_blocks.5.1.proj_in.bias
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_q.weight -> control_model.input_blocks.5.1.transformer_blocks.0.attn1.to_q.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_k.weight -> control_model.input_blocks.5.1.transformer_blocks.0.attn1.to_k.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_v.weight -> control_model.input_blocks.5.1.transformer_blocks.0.attn1.to_v.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight -> control_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.bias -> control_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight -> control_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.bias -> control_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.bias
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.weight -> control_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.bias -> control_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.bias
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_q.weight -> control_model.input_blocks.5.1.transformer_blocks.0.attn2.to_q.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight -> control_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight -> control_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight -> control_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.bias -> control_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1.weight -> control_model.input_blocks.5.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1.bias -> control_model.input_blocks.5.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2.weight -> control_model.input_blocks.5.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2.bias -> control_model.input_blocks.5.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.weight -> control_model.input_blocks.5.1.transformer_blocks.0.norm3.weight
copy weights: model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.bias -> control_model.input_blocks.5.1.transformer_blocks.0.norm3.bias
copy weights: model.diffusion_model.input_blocks.5.1.proj_out.weight -> control_model.input_blocks.5.1.proj_out.weight
copy weights: model.diffusion_model.input_blocks.5.1.proj_out.bias -> control_model.input_blocks.5.1.proj_out.bias
copy weights: model.diffusion_model.input_blocks.6.0.op.weight -> control_model.input_blocks.6.0.op.weight
copy weights: model.diffusion_model.input_blocks.6.0.op.bias -> control_model.input_blocks.6.0.op.bias
copy weights: model.diffusion_model.input_blocks.7.0.in_layers.0.weight -> control_model.input_blocks.7.0.in_layers.0.weight
copy weights: model.diffusion_model.input_blocks.7.0.in_layers.0.bias -> control_model.input_blocks.7.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.7.0.in_layers.2.weight -> control_model.input_blocks.7.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.7.0.in_layers.2.bias -> control_model.input_blocks.7.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.7.0.emb_layers.1.weight -> control_model.input_blocks.7.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.7.0.emb_layers.1.bias -> control_model.input_blocks.7.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.7.0.out_layers.0.weight -> control_model.input_blocks.7.0.out_layers.0.weight
copy weights: model.diffusion_model.input_blocks.7.0.out_layers.0.bias -> control_model.input_blocks.7.0.out_layers.0.bias
copy weights: model.diffusion_model.input_blocks.7.0.out_layers.3.weight -> control_model.input_blocks.7.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.7.0.out_layers.3.bias -> control_model.input_blocks.7.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.7.0.skip_connection.weight -> control_model.input_blocks.7.0.skip_connection.weight
copy weights: model.diffusion_model.input_blocks.7.0.skip_connection.bias -> control_model.input_blocks.7.0.skip_connection.bias
copy weights: model.diffusion_model.input_blocks.7.1.norm.weight -> control_model.input_blocks.7.1.norm.weight
copy weights: model.diffusion_model.input_blocks.7.1.norm.bias -> control_model.input_blocks.7.1.norm.bias
copy weights: model.diffusion_model.input_blocks.7.1.proj_in.weight -> control_model.input_blocks.7.1.proj_in.weight
copy weights: model.diffusion_model.input_blocks.7.1.proj_in.bias -> control_model.input_blocks.7.1.proj_in.bias
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_q.weight -> control_model.input_blocks.7.1.transformer_blocks.0.attn1.to_q.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_k.weight -> control_model.input_blocks.7.1.transformer_blocks.0.attn1.to_k.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_v.weight -> control_model.input_blocks.7.1.transformer_blocks.0.attn1.to_v.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0.weight -> control_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0.bias -> control_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj.weight -> control_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj.bias -> control_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj.bias
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.2.weight -> control_model.input_blocks.7.1.transformer_blocks.0.ff.net.2.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.2.bias -> control_model.input_blocks.7.1.transformer_blocks.0.ff.net.2.bias
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_q.weight -> control_model.input_blocks.7.1.transformer_blocks.0.attn2.to_q.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight -> control_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight -> control_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0.weight -> control_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0.bias -> control_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm1.weight -> control_model.input_blocks.7.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm1.bias -> control_model.input_blocks.7.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2.weight -> control_model.input_blocks.7.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2.bias -> control_model.input_blocks.7.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.weight -> control_model.input_blocks.7.1.transformer_blocks.0.norm3.weight
copy weights: model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.bias -> control_model.input_blocks.7.1.transformer_blocks.0.norm3.bias
copy weights: model.diffusion_model.input_blocks.7.1.proj_out.weight -> control_model.input_blocks.7.1.proj_out.weight
copy weights: model.diffusion_model.input_blocks.7.1.proj_out.bias -> control_model.input_blocks.7.1.proj_out.bias
copy weights: model.diffusion_model.input_blocks.8.0.in_layers.0.weight -> control_model.input_blocks.8.0.in_layers.0.weight
copy weights: model.diffusion_model.input_blocks.8.0.in_layers.0.bias -> control_model.input_blocks.8.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.8.0.in_layers.2.weight -> control_model.input_blocks.8.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.8.0.in_layers.2.bias -> control_model.input_blocks.8.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.8.0.emb_layers.1.weight -> control_model.input_blocks.8.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.8.0.emb_layers.1.bias -> control_model.input_blocks.8.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.8.0.out_layers.0.weight -> control_model.input_blocks.8.0.out_layers.0.weight
copy weights: model.diffusion_model.input_blocks.8.0.out_layers.0.bias -> control_model.input_blocks.8.0.out_layers.0.bias
copy weights: model.diffusion_model.input_blocks.8.0.out_layers.3.weight -> control_model.input_blocks.8.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.8.0.out_layers.3.bias -> control_model.input_blocks.8.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.8.1.norm.weight -> control_model.input_blocks.8.1.norm.weight
copy weights: model.diffusion_model.input_blocks.8.1.norm.bias -> control_model.input_blocks.8.1.norm.bias
copy weights: model.diffusion_model.input_blocks.8.1.proj_in.weight -> control_model.input_blocks.8.1.proj_in.weight
copy weights: model.diffusion_model.input_blocks.8.1.proj_in.bias -> control_model.input_blocks.8.1.proj_in.bias
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_q.weight -> control_model.input_blocks.8.1.transformer_blocks.0.attn1.to_q.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_k.weight -> control_model.input_blocks.8.1.transformer_blocks.0.attn1.to_k.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_v.weight -> control_model.input_blocks.8.1.transformer_blocks.0.attn1.to_v.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_out.0.weight -> control_model.input_blocks.8.1.transformer_blocks.0.attn1.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_out.0.bias -> control_model.input_blocks.8.1.transformer_blocks.0.attn1.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.0.proj.weight -> control_model.input_blocks.8.1.transformer_blocks.0.ff.net.0.proj.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.0.proj.bias -> control_model.input_blocks.8.1.transformer_blocks.0.ff.net.0.proj.bias
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.2.weight -> control_model.input_blocks.8.1.transformer_blocks.0.ff.net.2.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.2.bias -> control_model.input_blocks.8.1.transformer_blocks.0.ff.net.2.bias
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_q.weight -> control_model.input_blocks.8.1.transformer_blocks.0.attn2.to_q.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight -> control_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight -> control_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_out.0.weight -> control_model.input_blocks.8.1.transformer_blocks.0.attn2.to_out.0.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_out.0.bias -> control_model.input_blocks.8.1.transformer_blocks.0.attn2.to_out.0.bias
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm1.weight -> control_model.input_blocks.8.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm1.bias -> control_model.input_blocks.8.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm2.weight -> control_model.input_blocks.8.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm2.bias -> control_model.input_blocks.8.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm3.weight -> control_model.input_blocks.8.1.transformer_blocks.0.norm3.weight
copy weights: model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm3.bias -> control_model.input_blocks.8.1.transformer_blocks.0.norm3.bias
copy weights: model.diffusion_model.input_blocks.8.1.proj_out.weight -> control_model.input_blocks.8.1.proj_out.weight
copy weights: model.diffusion_model.input_blocks.8.1.proj_out.bias -> control_model.input_blocks.8.1.proj_out.bias
copy weights: model.diffusion_model.input_blocks.9.0.op.weight -> control_model.input_blocks.9.0.op.weight
copy weights: model.diffusion_model.input_blocks.9.0.op.bias -> control_model.input_blocks.9.0.op.bias
copy weights: model.diffusion_model.input_blocks.10.0.in_layers.0.weight -> control_model.input_blocks.10.0.in_layers.0.weight
copy weights: model.diffusion_model.input_blocks.10.0.in_layers.0.bias -> control_model.input_blocks.10.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.10.0.in_layers.2.weight -> control_model.input_blocks.10.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.10.0.in_layers.2.bias -> control_model.input_blocks.10.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.10.0.emb_layers.1.weight -> control_model.input_blocks.10.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.10.0.emb_layers.1.bias -> control_model.input_blocks.10.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.10.0.out_layers.0.weight -> control_model.input_blocks.10.0.out_layers.0.weight
copy weights: model.diffusion_model.input_blocks.10.0.out_layers.0.bias -> control_model.input_blocks.10.0.out_layers.0.bias
copy weights: model.diffusion_model.input_blocks.10.0.out_layers.3.weight -> control_model.input_blocks.10.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.10.0.out_layers.3.bias -> control_model.input_blocks.10.0.out_layers.3.bias
copy weights: model.diffusion_model.input_blocks.11.0.in_layers.0.weight -> control_model.input_blocks.11.0.in_layers.0.weight
copy weights: model.diffusion_model.input_blocks.11.0.in_layers.0.bias -> control_model.input_blocks.11.0.in_layers.0.bias
copy weights: model.diffusion_model.input_blocks.11.0.in_layers.2.weight -> control_model.input_blocks.11.0.in_layers.2.weight
copy weights: model.diffusion_model.input_blocks.11.0.in_layers.2.bias -> control_model.input_blocks.11.0.in_layers.2.bias
copy weights: model.diffusion_model.input_blocks.11.0.emb_layers.1.weight -> control_model.input_blocks.11.0.emb_layers.1.weight
copy weights: model.diffusion_model.input_blocks.11.0.emb_layers.1.bias -> control_model.input_blocks.11.0.emb_layers.1.bias
copy weights: model.diffusion_model.input_blocks.11.0.out_layers.0.weight -> control_model.input_blocks.11.0.out_layers.0.weight
copy weights: model.diffusion_model.input_blocks.11.0.out_layers.0.bias -> control_model.input_blocks.11.0.out_layers.0.bias
copy weights: model.diffusion_model.input_blocks.11.0.out_layers.3.weight -> control_model.input_blocks.11.0.out_layers.3.weight
copy weights: model.diffusion_model.input_blocks.11.0.out_layers.3.bias -> control_model.input_blocks.11.0.out_layers.3.bias
copy weights: model.diffusion_model.zero_convs.0.0.weight -> control_model.zero_convs.0.0.weight
These weights are newly added: control_model.zero_convs.0.0.weight
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copy weights: model.diffusion_model.zero_convs.2.0.weight -> control_model.zero_convs.2.0.weight
These weights are newly added: control_model.zero_convs.2.0.weight
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These weights are newly added: control_model.zero_convs.2.0.bias
copy weights: model.diffusion_model.zero_convs.3.0.weight -> control_model.zero_convs.3.0.weight
These weights are newly added: control_model.zero_convs.3.0.weight
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copy weights: model.diffusion_model.zero_convs.4.0.weight -> control_model.zero_convs.4.0.weight
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copy weights: model.diffusion_model.zero_convs.5.0.weight -> control_model.zero_convs.5.0.weight
These weights are newly added: control_model.zero_convs.5.0.weight
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These weights are newly added: control_model.zero_convs.5.0.bias
copy weights: model.diffusion_model.zero_convs.6.0.weight -> control_model.zero_convs.6.0.weight
These weights are newly added: control_model.zero_convs.6.0.weight
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These weights are newly added: control_model.zero_convs.7.0.weight
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These weights are newly added: control_model.zero_convs.10.0.weight
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copy weights: model.diffusion_model.middle_block.0.in_layers.2.bias -> control_model.middle_block.0.in_layers.2.bias
copy weights: model.diffusion_model.middle_block.0.emb_layers.1.weight -> control_model.middle_block.0.emb_layers.1.weight
copy weights: model.diffusion_model.middle_block.0.emb_layers.1.bias -> control_model.middle_block.0.emb_layers.1.bias
copy weights: model.diffusion_model.middle_block.0.out_layers.0.weight -> control_model.middle_block.0.out_layers.0.weight
copy weights: model.diffusion_model.middle_block.0.out_layers.0.bias -> control_model.middle_block.0.out_layers.0.bias
copy weights: model.diffusion_model.middle_block.0.out_layers.3.weight -> control_model.middle_block.0.out_layers.3.weight
copy weights: model.diffusion_model.middle_block.0.out_layers.3.bias -> control_model.middle_block.0.out_layers.3.bias
copy weights: model.diffusion_model.middle_block.1.norm.weight -> control_model.middle_block.1.norm.weight
copy weights: model.diffusion_model.middle_block.1.norm.bias -> control_model.middle_block.1.norm.bias
copy weights: model.diffusion_model.middle_block.1.proj_in.weight -> control_model.middle_block.1.proj_in.weight
copy weights: model.diffusion_model.middle_block.1.proj_in.bias -> control_model.middle_block.1.proj_in.bias
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_q.weight -> control_model.middle_block.1.transformer_blocks.0.attn1.to_q.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_k.weight -> control_model.middle_block.1.transformer_blocks.0.attn1.to_k.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_v.weight -> control_model.middle_block.1.transformer_blocks.0.attn1.to_v.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_out.0.weight -> control_model.middle_block.1.transformer_blocks.0.attn1.to_out.0.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_out.0.bias -> control_model.middle_block.1.transformer_blocks.0.attn1.to_out.0.bias
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.0.proj.weight -> control_model.middle_block.1.transformer_blocks.0.ff.net.0.proj.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.0.proj.bias -> control_model.middle_block.1.transformer_blocks.0.ff.net.0.proj.bias
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.2.weight -> control_model.middle_block.1.transformer_blocks.0.ff.net.2.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.2.bias -> control_model.middle_block.1.transformer_blocks.0.ff.net.2.bias
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_q.weight -> control_model.middle_block.1.transformer_blocks.0.attn2.to_q.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight -> control_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight -> control_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.weight -> control_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.bias -> control_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.bias
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.norm1.weight -> control_model.middle_block.1.transformer_blocks.0.norm1.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.norm1.bias -> control_model.middle_block.1.transformer_blocks.0.norm1.bias
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.norm2.weight -> control_model.middle_block.1.transformer_blocks.0.norm2.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.norm2.bias -> control_model.middle_block.1.transformer_blocks.0.norm2.bias
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.norm3.weight -> control_model.middle_block.1.transformer_blocks.0.norm3.weight
copy weights: model.diffusion_model.middle_block.1.transformer_blocks.0.norm3.bias -> control_model.middle_block.1.transformer_blocks.0.norm3.bias
copy weights: model.diffusion_model.middle_block.1.proj_out.weight -> control_model.middle_block.1.proj_out.weight
copy weights: model.diffusion_model.middle_block.1.proj_out.bias -> control_model.middle_block.1.proj_out.bias
copy weights: model.diffusion_model.middle_block.2.in_layers.0.weight -> control_model.middle_block.2.in_layers.0.weight
copy weights: model.diffusion_model.middle_block.2.in_layers.0.bias -> control_model.middle_block.2.in_layers.0.bias
copy weights: model.diffusion_model.middle_block.2.in_layers.2.weight -> control_model.middle_block.2.in_layers.2.weight
copy weights: model.diffusion_model.middle_block.2.in_layers.2.bias -> control_model.middle_block.2.in_layers.2.bias
copy weights: model.diffusion_model.middle_block.2.emb_layers.1.weight -> control_model.middle_block.2.emb_layers.1.weight
copy weights: model.diffusion_model.middle_block.2.emb_layers.1.bias -> control_model.middle_block.2.emb_layers.1.bias
copy weights: model.diffusion_model.middle_block.2.out_layers.0.weight -> control_model.middle_block.2.out_layers.0.weight
copy weights: model.diffusion_model.middle_block.2.out_layers.0.bias -> control_model.middle_block.2.out_layers.0.bias
copy weights: model.diffusion_model.middle_block.2.out_layers.3.weight -> control_model.middle_block.2.out_layers.3.weight
copy weights: model.diffusion_model.middle_block.2.out_layers.3.bias -> control_model.middle_block.2.out_layers.3.bias
copy weights: model.diffusion_model.middle_block_out.0.weight -> control_model.middle_block_out.0.weight
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copy weights: model.diffusion_model.middle_block_out.0.bias -> control_model.middle_block_out.0.bias
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copy weights: conv_first.1.weight -> preprocess_model.conv_first.1.weight
copy weights: conv_first.1.bias -> preprocess_model.conv_first.1.bias
copy weights: patch_embed.norm.weight -> preprocess_model.patch_embed.norm.weight
copy weights: patch_embed.norm.bias -> preprocess_model.patch_embed.norm.bias
copy weights: layers.0.residual_group.blocks.0.norm1.weight -> preprocess_model.layers.0.residual_group.blocks.0.norm1.weight
copy weights: layers.0.residual_group.blocks.0.norm1.bias -> preprocess_model.layers.0.residual_group.blocks.0.norm1.bias
copy weights: layers.0.residual_group.blocks.0.attn.relative_position_bias_table -> preprocess_model.layers.0.residual_group.blocks.0.attn.relative_position_bias_table
copy weights: layers.0.residual_group.blocks.0.attn.relative_position_index -> preprocess_model.layers.0.residual_group.blocks.0.attn.relative_position_index
copy weights: layers.0.residual_group.blocks.0.attn.qkv.weight -> preprocess_model.layers.0.residual_group.blocks.0.attn.qkv.weight
copy weights: layers.0.residual_group.blocks.0.attn.qkv.bias -> preprocess_model.layers.0.residual_group.blocks.0.attn.qkv.bias
copy weights: layers.0.residual_group.blocks.0.attn.proj.weight -> preprocess_model.layers.0.residual_group.blocks.0.attn.proj.weight
copy weights: layers.0.residual_group.blocks.0.attn.proj.bias -> preprocess_model.layers.0.residual_group.blocks.0.attn.proj.bias
copy weights: layers.0.residual_group.blocks.0.norm2.weight -> preprocess_model.layers.0.residual_group.blocks.0.norm2.weight
copy weights: layers.0.residual_group.blocks.0.norm2.bias -> preprocess_model.layers.0.residual_group.blocks.0.norm2.bias
copy weights: layers.0.residual_group.blocks.0.mlp.fc1.weight -> preprocess_model.layers.0.residual_group.blocks.0.mlp.fc1.weight
copy weights: layers.0.residual_group.blocks.0.mlp.fc1.bias -> preprocess_model.layers.0.residual_group.blocks.0.mlp.fc1.bias
copy weights: layers.0.residual_group.blocks.0.mlp.fc2.weight -> preprocess_model.layers.0.residual_group.blocks.0.mlp.fc2.weight
copy weights: layers.0.residual_group.blocks.0.mlp.fc2.bias -> preprocess_model.layers.0.residual_group.blocks.0.mlp.fc2.bias
copy weights: layers.0.residual_group.blocks.1.attn_mask -> preprocess_model.layers.0.residual_group.blocks.1.attn_mask
copy weights: layers.0.residual_group.blocks.1.norm1.weight -> preprocess_model.layers.0.residual_group.blocks.1.norm1.weight
copy weights: layers.0.residual_group.blocks.1.norm1.bias -> preprocess_model.layers.0.residual_group.blocks.1.norm1.bias
copy weights: layers.0.residual_group.blocks.1.attn.relative_position_bias_table -> preprocess_model.layers.0.residual_group.blocks.1.attn.relative_position_bias_table
copy weights: layers.0.residual_group.blocks.1.attn.relative_position_index -> preprocess_model.layers.0.residual_group.blocks.1.attn.relative_position_index
copy weights: layers.0.residual_group.blocks.1.attn.qkv.weight -> preprocess_model.layers.0.residual_group.blocks.1.attn.qkv.weight
copy weights: layers.0.residual_group.blocks.1.attn.qkv.bias -> preprocess_model.layers.0.residual_group.blocks.1.attn.qkv.bias
copy weights: layers.0.residual_group.blocks.1.attn.proj.weight -> preprocess_model.layers.0.residual_group.blocks.1.attn.proj.weight
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copy weights: layers.0.residual_group.blocks.1.mlp.fc2.weight -> preprocess_model.layers.0.residual_group.blocks.1.mlp.fc2.weight
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copy weights: layers.0.residual_group.blocks.2.norm1.bias -> preprocess_model.layers.0.residual_group.blocks.2.norm1.bias
copy weights: layers.0.residual_group.blocks.2.attn.relative_position_bias_table -> preprocess_model.layers.0.residual_group.blocks.2.attn.relative_position_bias_table
copy weights: layers.0.residual_group.blocks.2.attn.relative_position_index -> preprocess_model.layers.0.residual_group.blocks.2.attn.relative_position_index
copy weights: layers.0.residual_group.blocks.2.attn.qkv.weight -> preprocess_model.layers.0.residual_group.blocks.2.attn.qkv.weight
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copy weights: layers.0.residual_group.blocks.2.norm2.weight -> preprocess_model.layers.0.residual_group.blocks.2.norm2.weight
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copy weights: layers.0.residual_group.blocks.2.mlp.fc1.weight -> preprocess_model.layers.0.residual_group.blocks.2.mlp.fc1.weight
copy weights: layers.0.residual_group.blocks.2.mlp.fc1.bias -> preprocess_model.layers.0.residual_group.blocks.2.mlp.fc1.bias
copy weights: layers.0.residual_group.blocks.2.mlp.fc2.weight -> preprocess_model.layers.0.residual_group.blocks.2.mlp.fc2.weight
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copy weights: layers.0.residual_group.blocks.3.attn_mask -> preprocess_model.layers.0.residual_group.blocks.3.attn_mask
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copy weights: layers.0.residual_group.blocks.3.attn.relative_position_index -> preprocess_model.layers.0.residual_group.blocks.3.attn.relative_position_index
copy weights: layers.0.residual_group.blocks.3.attn.qkv.weight -> preprocess_model.layers.0.residual_group.blocks.3.attn.qkv.weight
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copy weights: layers.0.residual_group.blocks.3.mlp.fc2.weight -> preprocess_model.layers.0.residual_group.blocks.3.mlp.fc2.weight
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copy weights: layers.0.residual_group.blocks.4.norm1.weight -> preprocess_model.layers.0.residual_group.blocks.4.norm1.weight
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copy weights: layers.0.residual_group.blocks.4.attn.relative_position_index -> preprocess_model.layers.0.residual_group.blocks.4.attn.relative_position_index
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copy weights: layers.0.residual_group.blocks.5.norm1.weight -> preprocess_model.layers.0.residual_group.blocks.5.norm1.weight
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copy weights: layers.0.residual_group.blocks.5.attn.relative_position_bias_table -> preprocess_model.layers.0.residual_group.blocks.5.attn.relative_position_bias_table
copy weights: layers.0.residual_group.blocks.5.attn.relative_position_index -> preprocess_model.layers.0.residual_group.blocks.5.attn.relative_position_index
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copy weights: first_stage_model.encoder.down.3.block.0.norm1.weight -> cond_encoder.encoder.down.3.block.0.norm1.weight
copy weights: first_stage_model.encoder.down.3.block.0.norm1.bias -> cond_encoder.encoder.down.3.block.0.norm1.bias
copy weights: first_stage_model.encoder.down.3.block.0.conv1.weight -> cond_encoder.encoder.down.3.block.0.conv1.weight
copy weights: first_stage_model.encoder.down.3.block.0.conv1.bias -> cond_encoder.encoder.down.3.block.0.conv1.bias
copy weights: first_stage_model.encoder.down.3.block.0.norm2.weight -> cond_encoder.encoder.down.3.block.0.norm2.weight
copy weights: first_stage_model.encoder.down.3.block.0.norm2.bias -> cond_encoder.encoder.down.3.block.0.norm2.bias
copy weights: first_stage_model.encoder.down.3.block.0.conv2.weight -> cond_encoder.encoder.down.3.block.0.conv2.weight
copy weights: first_stage_model.encoder.down.3.block.0.conv2.bias -> cond_encoder.encoder.down.3.block.0.conv2.bias
copy weights: first_stage_model.encoder.down.3.block.1.norm1.weight -> cond_encoder.encoder.down.3.block.1.norm1.weight
copy weights: first_stage_model.encoder.down.3.block.1.norm1.bias -> cond_encoder.encoder.down.3.block.1.norm1.bias
copy weights: first_stage_model.encoder.down.3.block.1.conv1.weight -> cond_encoder.encoder.down.3.block.1.conv1.weight
copy weights: first_stage_model.encoder.down.3.block.1.conv1.bias -> cond_encoder.encoder.down.3.block.1.conv1.bias
copy weights: first_stage_model.encoder.down.3.block.1.norm2.weight -> cond_encoder.encoder.down.3.block.1.norm2.weight
copy weights: first_stage_model.encoder.down.3.block.1.norm2.bias -> cond_encoder.encoder.down.3.block.1.norm2.bias
copy weights: first_stage_model.encoder.down.3.block.1.conv2.weight -> cond_encoder.encoder.down.3.block.1.conv2.weight
copy weights: first_stage_model.encoder.down.3.block.1.conv2.bias -> cond_encoder.encoder.down.3.block.1.conv2.bias
copy weights: first_stage_model.encoder.mid.block_1.norm1.weight -> cond_encoder.encoder.mid.block_1.norm1.weight
copy weights: first_stage_model.encoder.mid.block_1.norm1.bias -> cond_encoder.encoder.mid.block_1.norm1.bias
copy weights: first_stage_model.encoder.mid.block_1.conv1.weight -> cond_encoder.encoder.mid.block_1.conv1.weight
copy weights: first_stage_model.encoder.mid.block_1.conv1.bias -> cond_encoder.encoder.mid.block_1.conv1.bias
copy weights: first_stage_model.encoder.mid.block_1.norm2.weight -> cond_encoder.encoder.mid.block_1.norm2.weight
copy weights: first_stage_model.encoder.mid.block_1.norm2.bias -> cond_encoder.encoder.mid.block_1.norm2.bias
copy weights: first_stage_model.encoder.mid.block_1.conv2.weight -> cond_encoder.encoder.mid.block_1.conv2.weight
copy weights: first_stage_model.encoder.mid.block_1.conv2.bias -> cond_encoder.encoder.mid.block_1.conv2.bias
copy weights: first_stage_model.encoder.mid.attn_1.norm.weight -> cond_encoder.encoder.mid.attn_1.norm.weight
copy weights: first_stage_model.encoder.mid.attn_1.norm.bias -> cond_encoder.encoder.mid.attn_1.norm.bias
copy weights: first_stage_model.encoder.mid.attn_1.q.weight -> cond_encoder.encoder.mid.attn_1.q.weight
copy weights: first_stage_model.encoder.mid.attn_1.q.bias -> cond_encoder.encoder.mid.attn_1.q.bias
copy weights: first_stage_model.encoder.mid.attn_1.k.weight -> cond_encoder.encoder.mid.attn_1.k.weight
copy weights: first_stage_model.encoder.mid.attn_1.k.bias -> cond_encoder.encoder.mid.attn_1.k.bias
copy weights: first_stage_model.encoder.mid.attn_1.v.weight -> cond_encoder.encoder.mid.attn_1.v.weight
copy weights: first_stage_model.encoder.mid.attn_1.v.bias -> cond_encoder.encoder.mid.attn_1.v.bias
copy weights: first_stage_model.encoder.mid.attn_1.proj_out.weight -> cond_encoder.encoder.mid.attn_1.proj_out.weight
copy weights: first_stage_model.encoder.mid.attn_1.proj_out.bias -> cond_encoder.encoder.mid.attn_1.proj_out.bias
copy weights: first_stage_model.encoder.mid.block_2.norm1.weight -> cond_encoder.encoder.mid.block_2.norm1.weight
copy weights: first_stage_model.encoder.mid.block_2.norm1.bias -> cond_encoder.encoder.mid.block_2.norm1.bias
copy weights: first_stage_model.encoder.mid.block_2.conv1.weight -> cond_encoder.encoder.mid.block_2.conv1.weight
copy weights: first_stage_model.encoder.mid.block_2.conv1.bias -> cond_encoder.encoder.mid.block_2.conv1.bias
copy weights: first_stage_model.encoder.mid.block_2.norm2.weight -> cond_encoder.encoder.mid.block_2.norm2.weight
copy weights: first_stage_model.encoder.mid.block_2.norm2.bias -> cond_encoder.encoder.mid.block_2.norm2.bias
copy weights: first_stage_model.encoder.mid.block_2.conv2.weight -> cond_encoder.encoder.mid.block_2.conv2.weight
copy weights: first_stage_model.encoder.mid.block_2.conv2.bias -> cond_encoder.encoder.mid.block_2.conv2.bias
copy weights: first_stage_model.encoder.norm_out.weight -> cond_encoder.encoder.norm_out.weight
copy weights: first_stage_model.encoder.norm_out.bias -> cond_encoder.encoder.norm_out.bias
copy weights: first_stage_model.encoder.conv_out.weight -> cond_encoder.encoder.conv_out.weight
copy weights: first_stage_model.encoder.conv_out.bias -> cond_encoder.encoder.conv_out.bias
copy weights: first_stage_model.quant_conv.weight -> cond_encoder.quant_conv.weight
copy weights: first_stage_model.quant_conv.bias -> cond_encoder.quant_conv.bias
Done.
