public enum DiffusersMapping {
  public static let UNetPartials: [(String, String)] = [
    ("input_blocks.1.0.", "down_blocks.0.resnets.0."),
    ("input_blocks.1.1.", "down_blocks.0.attentions.0."),
    ("input_blocks.2.0.", "down_blocks.0.resnets.1."),
    ("input_blocks.2.1.", "down_blocks.0.attentions.1."),
    ("output_blocks.0.0.", "up_blocks.0.resnets.0."),
    ("output_blocks.1.0.", "up_blocks.0.resnets.1."),
    ("output_blocks.2.0.", "up_blocks.0.resnets.2."),
    ("input_blocks.3.0.op.", "down_blocks.0.downsamplers.0.conv."),
    ("output_blocks.2.1.", "up_blocks.0.upsamplers.0."),
    ("input_blocks.4.0.", "down_blocks.1.resnets.0."),
    ("input_blocks.4.1.", "down_blocks.1.attentions.0."),
    ("input_blocks.5.0.", "down_blocks.1.resnets.1."),
    ("input_blocks.5.1.", "down_blocks.1.attentions.1."),
    ("output_blocks.3.0.", "up_blocks.1.resnets.0."),
    ("output_blocks.3.1.", "up_blocks.1.attentions.0."),
    ("output_blocks.4.0.", "up_blocks.1.resnets.1."),
    ("output_blocks.4.1.", "up_blocks.1.attentions.1."),
    ("output_blocks.5.0.", "up_blocks.1.resnets.2."),
    ("output_blocks.5.1.", "up_blocks.1.attentions.2."),
    ("input_blocks.6.0.op.", "down_blocks.1.downsamplers.0.conv."),
    ("output_blocks.5.2.", "up_blocks.1.upsamplers.0."),
    ("input_blocks.7.0.", "down_blocks.2.resnets.0."),
    ("input_blocks.7.1.", "down_blocks.2.attentions.0."),
    ("input_blocks.8.0.", "down_blocks.2.resnets.1."),
    ("input_blocks.8.1.", "down_blocks.2.attentions.1."),
    ("output_blocks.6.0.", "up_blocks.2.resnets.0."),
    ("output_blocks.6.1.", "up_blocks.2.attentions.0."),
    ("output_blocks.7.0.", "up_blocks.2.resnets.1."),
    ("output_blocks.7.1.", "up_blocks.2.attentions.1."),
    ("output_blocks.8.0.", "up_blocks.2.resnets.2."),
    ("output_blocks.8.1.", "up_blocks.2.attentions.2."),
    ("input_blocks.9.0.op.", "down_blocks.2.downsamplers.0.conv."),
    ("output_blocks.8.2.", "up_blocks.2.upsamplers.0."),
    ("input_blocks.10.0.", "down_blocks.3.resnets.0."),
    ("input_blocks.11.0.", "down_blocks.3.resnets.1."),
    ("output_blocks.9.0.", "up_blocks.3.resnets.0."),
    ("output_blocks.9.1.", "up_blocks.3.attentions.0."),
    ("output_blocks.10.0.", "up_blocks.3.resnets.1."),
    ("output_blocks.10.1.", "up_blocks.3.attentions.1."),
    ("output_blocks.11.0.", "up_blocks.3.resnets.2."),
    ("output_blocks.11.1.", "up_blocks.3.attentions.2."),
    ("middle_block.1.", "mid_block.attentions.0."),
    ("middle_block.0.", "mid_block.resnets.0."),
    ("middle_block.2.", "mid_block.resnets.1."),
    ("time_embed.0.", "time_embedding.linear_1."),
    ("time_embed.2.", "time_embedding.linear_2."),
    ("input_blocks.0.0.", "conv_in."),
    ("out.0.", "conv_norm_out."),
    ("out.2.", "conv_out."),
  ]

  public static let ResNetsPartials: [(String, String)] = [
    ("in_layers.0", "norm1"),
    ("in_layers.2", "conv1"),
    ("emb_layers.1", "time_emb_proj"),
    ("out_layers.0", "norm2"),
    ("out_layers.3", "conv2"),
    ("skip_connection", "conv_shortcut"),
  ]
  public static let VAEPartials: [(String, String)] = [
    ("nin_shortcut", "conv_shortcut"), ("norm_out", "conv_norm_out"),
    ("mid.attn_1.", "mid_block.attentions.0."),
    ("encoder.down.0.block.0.", "encoder.down_blocks.0.resnets.0."),
    ("encoder.down.0.block.1.", "encoder.down_blocks.0.resnets.1."),
    ("down.0.downsample.", "down_blocks.0.downsamplers.0."),
    ("up.3.upsample.", "up_blocks.0.upsamplers.0."),
    ("decoder.up.3.block.0.", "decoder.up_blocks.0.resnets.0."),
    ("decoder.up.3.block.1.", "decoder.up_blocks.0.resnets.1."),
    ("decoder.up.3.block.2.", "decoder.up_blocks.0.resnets.2."),
    ("encoder.down.1.block.0.", "encoder.down_blocks.1.resnets.0."),
    ("encoder.down.1.block.1.", "encoder.down_blocks.1.resnets.1."),
    ("down.1.downsample.", "down_blocks.1.downsamplers.0."),
    ("up.2.upsample.", "up_blocks.1.upsamplers.0."),
    ("decoder.up.2.block.0.", "decoder.up_blocks.1.resnets.0."),
    ("decoder.up.2.block.1.", "decoder.up_blocks.1.resnets.1."),
    ("decoder.up.2.block.2.", "decoder.up_blocks.1.resnets.2."),
    ("encoder.down.2.block.0.", "encoder.down_blocks.2.resnets.0."),
    ("encoder.down.2.block.1.", "encoder.down_blocks.2.resnets.1."),
    ("down.2.downsample.", "down_blocks.2.downsamplers.0."),
    ("up.1.upsample.", "up_blocks.2.upsamplers.0."),
    ("decoder.up.1.block.0.", "decoder.up_blocks.2.resnets.0."),
    ("decoder.up.1.block.1.", "decoder.up_blocks.2.resnets.1."),
    ("decoder.up.1.block.2.", "decoder.up_blocks.2.resnets.2."),
    ("encoder.down.3.block.0.", "encoder.down_blocks.3.resnets.0."),
    ("encoder.down.3.block.1.", "encoder.down_blocks.3.resnets.1."),
    ("decoder.up.0.block.0.", "decoder.up_blocks.3.resnets.0."),
    ("decoder.up.0.block.1.", "decoder.up_blocks.3.resnets.1."),
    ("decoder.up.0.block.2.", "decoder.up_blocks.3.resnets.2."),
    ("mid.block_1.", "mid_block.resnets.0."), ("mid.block_2.", "mid_block.resnets.1."),
  ]
}

public enum StableDiffusionMapping {
  public static let CLIPTextModel: ModelWeightMapping = {
    var textModel = ModelWeightMapping()
    textModel["cond_stage_model.transformer.text_model.embeddings.position_embedding.weight"] = [
      "t-0-0"
    ]
    textModel["cond_stage_model.transformer.text_model.embeddings.token_embedding.weight"] = [
      "t-1-0"
    ]
    for i in 0..<12 {
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm1.weight"] =
        ["t-\(i * 8 + 2)-0"]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm1.bias"] = [
        "t-\(i * 8 + 2)-1"
      ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.q_proj.weight"] = [
          "t-\(i * 8 + 3)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.q_proj.bias"] =
        ["t-\(i * 8 + 3)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.k_proj.weight"] = [
          "t-\(i * 8 + 4)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.k_proj.bias"] =
        ["t-\(i * 8 + 4)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.v_proj.weight"] = [
          "t-\(i * 8 + 5)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.v_proj.bias"] =
        ["t-\(i * 8 + 5)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.out_proj.weight"] = [
          "t-\(i * 8 + 6)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.out_proj.bias"] = [
          "t-\(i * 8 + 6)-1"
        ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm2.weight"] =
        ["t-\(i * 8 + 7)-0"]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm2.bias"] = [
        "t-\(i * 8 + 7)-1"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc1.weight"] = [
        "t-\(i * 8 + 8)-0"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc1.bias"] = [
        "t-\(i * 8 + 8)-1"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc2.weight"] = [
        "t-\(i * 8 + 9)-0"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc2.bias"] = [
        "t-\(i * 8 + 9)-1"
      ]
    }
    textModel["cond_stage_model.transformer.text_model.final_layer_norm.weight"] = ["t-98-0"]
    textModel["cond_stage_model.transformer.text_model.final_layer_norm.bias"] = ["t-98-1"]
    return textModel
  }()
  public static let OpenCLIPTextModel: ModelWeightMapping = {
    var textModel = ModelWeightMapping()
    textModel["cond_stage_model.transformer.text_model.embeddings.position_embedding.weight"] = [
      "t-0-0"
    ]
    textModel["cond_stage_model.transformer.text_model.embeddings.token_embedding.weight"] = [
      "t-1-0"
    ]
    for i in 0..<23 {
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm1.weight"] =
        ["t-\(i * 8 + 2)-0"]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm1.bias"] = [
        "t-\(i * 8 + 2)-1"
      ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.q_proj.weight"] = [
          "t-\(i * 8 + 3)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.q_proj.bias"] =
        ["t-\(i * 8 + 3)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.k_proj.weight"] = [
          "t-\(i * 8 + 4)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.k_proj.bias"] =
        ["t-\(i * 8 + 4)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.v_proj.weight"] = [
          "t-\(i * 8 + 5)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.v_proj.bias"] =
        ["t-\(i * 8 + 5)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.out_proj.weight"] = [
          "t-\(i * 8 + 6)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.out_proj.bias"] = [
          "t-\(i * 8 + 6)-1"
        ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm2.weight"] =
        ["t-\(i * 8 + 7)-0"]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm2.bias"] = [
        "t-\(i * 8 + 7)-1"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc1.weight"] = [
        "t-\(i * 8 + 8)-0"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc1.bias"] = [
        "t-\(i * 8 + 8)-1"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc2.weight"] = [
        "t-\(i * 8 + 9)-0"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc2.bias"] = [
        "t-\(i * 8 + 9)-1"
      ]
    }
    textModel["cond_stage_model.transformer.text_model.final_layer_norm.weight"] = ["t-186-0"]
    textModel["cond_stage_model.transformer.text_model.final_layer_norm.bias"] = ["t-186-1"]
    return textModel
  }()
  public static let OpenCLIPTextModelG: ModelWeightMapping = {
    var textModel = ModelWeightMapping()
    textModel["cond_stage_model.model.positional_embedding"] = [
      "t-0-0"
    ]
    textModel["cond_stage_model.model.token_embedding.weight"] = [
      "t-1-0"
    ]
    for i in 0..<32 {
      textModel["cond_stage_model.model.transformer.resblocks.\(i).ln_1.weight"] =
        ["t-\(i * 8 + 2)-0"]
      textModel["cond_stage_model.model.transformer.resblocks.\(i).ln_1.bias"] = [
        "t-\(i * 8 + 2)-1"
      ]
      textModel[
        "cond_stage_model.model.transformer.resblocks.\(i).attn.in_proj_weight"] = [
          "t-\(i * 8 + 3)-0", "t-\(i * 8 + 4)-0", "t-\(i * 8 + 5)-0",
        ]
      textModel[
        "cond_stage_model.model.transformer.resblocks.\(i).attn.in_proj_bias"] = [
          "t-\(i * 8 + 3)-1", "t-\(i * 8 + 4)-1", "t-\(i * 8 + 5)-1",
        ]
      textModel[
        "cond_stage_model.model.transformer.resblocks.\(i).attn.out_proj.weight"] = [
          "t-\(i * 8 + 6)-0"
        ]
      textModel[
        "cond_stage_model.model.transformer.resblocks.\(i).attn.out_proj.bias"] = [
          "t-\(i * 8 + 6)-1"
        ]
      textModel["cond_stage_model.model.transformer.resblocks.\(i).ln_2.weight"] =
        ["t-\(i * 8 + 7)-0"]
      textModel["cond_stage_model.model.transformer.resblocks.\(i).ln_2.bias"] = [
        "t-\(i * 8 + 7)-1"
      ]
      textModel["cond_stage_model.model.transformer.resblocks.\(i).mlp.c_fc.weight"] = [
        "t-\(i * 8 + 8)-0"
      ]
      textModel["cond_stage_model.model.transformer.resblocks.\(i).mlp.c_fc.bias"] = [
        "t-\(i * 8 + 8)-1"
      ]
      textModel["cond_stage_model.model.transformer.resblocks.\(i).mlp.c_proj.weight"] = [
        "t-\(i * 8 + 9)-0"
      ]
      textModel["cond_stage_model.model.transformer.resblocks.\(i).mlp.c_proj.bias"] = [
        "t-\(i * 8 + 9)-1"
      ]
    }
    textModel["cond_stage_model.model.ln_final.weight"] = ["t-258-0"]
    textModel["cond_stage_model.model.ln_final.bias"] = ["t-258-1"]
    return textModel
  }()
  public static let OpenCLIPTextModelGTransformers: ModelWeightMapping = {
    var textModel = ModelWeightMapping()
    textModel["cond_stage_model.transformer.text_model.embeddings.position_embedding.weight"] = [
      "t-0-0"
    ]
    textModel["cond_stage_model.transformer.text_model.embeddings.token_embedding.weight"] = [
      "t-1-0"
    ]
    for i in 0..<32 {
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm1.weight"] =
        ["t-\(i * 8 + 2)-0"]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm1.bias"] = [
        "t-\(i * 8 + 2)-1"
      ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.q_proj.weight"] = [
          "t-\(i * 8 + 3)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.q_proj.bias"] =
        ["t-\(i * 8 + 3)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.k_proj.weight"] = [
          "t-\(i * 8 + 4)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.k_proj.bias"] =
        ["t-\(i * 8 + 4)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.v_proj.weight"] = [
          "t-\(i * 8 + 5)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.v_proj.bias"] =
        ["t-\(i * 8 + 5)-1"]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.out_proj.weight"] = [
          "t-\(i * 8 + 6)-0"
        ]
      textModel[
        "cond_stage_model.transformer.text_model.encoder.layers.\(i).self_attn.out_proj.bias"] = [
          "t-\(i * 8 + 6)-1"
        ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm2.weight"] =
        ["t-\(i * 8 + 7)-0"]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).layer_norm2.bias"] = [
        "t-\(i * 8 + 7)-1"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc1.weight"] = [
        "t-\(i * 8 + 8)-0"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc1.bias"] = [
        "t-\(i * 8 + 8)-1"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc2.weight"] = [
        "t-\(i * 8 + 9)-0"
      ]
      textModel["cond_stage_model.transformer.text_model.encoder.layers.\(i).mlp.fc2.bias"] = [
        "t-\(i * 8 + 9)-1"
      ]
    }
    textModel["cond_stage_model.transformer.text_model.final_layer_norm.weight"] = ["t-258-0"]
    textModel["cond_stage_model.transformer.text_model.final_layer_norm.bias"] = ["t-258-1"]
    return textModel
  }()
  public static let UNet: ModelWeightMapping = [
    "model.diffusion_model.time_embed.0.weight": ["t-0-0"],
    "model.diffusion_model.time_embed.0.bias": ["t-0-1"],
    "model.diffusion_model.time_embed.2.weight": ["t-1-0"],
    "model.diffusion_model.time_embed.2.bias": ["t-1-1"],
    "model.diffusion_model.input_blocks.0.0.weight": ["t-2-0"],
    "model.diffusion_model.input_blocks.0.0.bias": ["t-2-1"],
    "model.diffusion_model.input_blocks.1.0.in_layers.0.weight": ["t-3-0"],
    "model.diffusion_model.input_blocks.1.0.in_layers.0.bias": ["t-3-1"],
    "model.diffusion_model.input_blocks.1.0.in_layers.2.weight": ["t-5-0"],
    "model.diffusion_model.input_blocks.1.0.in_layers.2.bias": ["t-5-1"],
    "model.diffusion_model.input_blocks.1.0.emb_layers.1.weight": ["t-4-0"],
    "model.diffusion_model.input_blocks.1.0.emb_layers.1.bias": ["t-4-1"],
    "model.diffusion_model.input_blocks.1.0.out_layers.0.weight": ["t-6-0"],
    "model.diffusion_model.input_blocks.1.0.out_layers.0.bias": ["t-6-1"],
    "model.diffusion_model.input_blocks.1.0.out_layers.3.weight": ["t-7-0"],
    "model.diffusion_model.input_blocks.1.0.out_layers.3.bias": ["t-7-1"],
    "model.diffusion_model.input_blocks.1.1.norm.weight": ["t-8-0"],
    "model.diffusion_model.input_blocks.1.1.norm.bias": ["t-8-1"],
    "model.diffusion_model.input_blocks.1.1.proj_in.weight": ["t-9-0"],
    "model.diffusion_model.input_blocks.1.1.proj_in.bias": ["t-9-1"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_k.weight": ["t-12-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_q.weight": ["t-11-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_v.weight": ["t-13-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.weight": ["t-14-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-14-1"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-22-0", "t-21-0",
    ],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-22-1", "t-21-1",
    ],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.weight": ["t-23-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.bias": ["t-23-1"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_k.weight": ["t-17-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_q.weight": ["t-16-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_v.weight": ["t-18-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0.weight": ["t-19-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-19-1"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.weight": ["t-10-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.bias": ["t-10-1"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.weight": ["t-15-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.bias": ["t-15-1"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.weight": ["t-20-0"],
    "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.bias": ["t-20-1"],
    "model.diffusion_model.input_blocks.1.1.proj_out.weight": ["t-24-0"],
    "model.diffusion_model.input_blocks.1.1.proj_out.bias": ["t-24-1"],
    "model.diffusion_model.input_blocks.2.0.in_layers.0.weight": ["t-25-0"],
    "model.diffusion_model.input_blocks.2.0.in_layers.0.bias": ["t-25-1"],
    "model.diffusion_model.input_blocks.2.0.in_layers.2.weight": ["t-27-0"],
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    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_q.weight": ["t-280-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_v.weight": ["t-282-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_out.0.weight": [
      "t-283-0"
    ],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-283-1"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm1.weight": ["t-274-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm1.bias": ["t-274-1"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm2.weight": ["t-279-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm2.bias": ["t-279-1"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3.weight": ["t-284-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3.bias": ["t-284-1"],
    "model.diffusion_model.output_blocks.6.1.proj_out.weight": ["t-288-0"],
    "model.diffusion_model.output_blocks.6.1.proj_out.bias": ["t-288-1"],
    "model.diffusion_model.output_blocks.7.0.in_layers.0.weight": ["t-289-0"],
    "model.diffusion_model.output_blocks.7.0.in_layers.0.bias": ["t-289-1"],
    "model.diffusion_model.output_blocks.7.0.in_layers.2.weight": ["t-291-0"],
    "model.diffusion_model.output_blocks.7.0.in_layers.2.bias": ["t-291-1"],
    "model.diffusion_model.output_blocks.7.0.emb_layers.1.weight": ["t-290-0"],
    "model.diffusion_model.output_blocks.7.0.emb_layers.1.bias": ["t-290-1"],
    "model.diffusion_model.output_blocks.7.0.out_layers.0.weight": ["t-292-0"],
    "model.diffusion_model.output_blocks.7.0.out_layers.0.bias": ["t-292-1"],
    "model.diffusion_model.output_blocks.7.0.out_layers.3.weight": ["t-293-0"],
    "model.diffusion_model.output_blocks.7.0.out_layers.3.bias": ["t-293-1"],
    "model.diffusion_model.output_blocks.7.0.skip_connection.weight": ["t-294-0"],
    "model.diffusion_model.output_blocks.7.0.skip_connection.bias": ["t-294-1"],
    "model.diffusion_model.output_blocks.7.1.norm.weight": ["t-295-0"],
    "model.diffusion_model.output_blocks.7.1.norm.bias": ["t-295-1"],
    "model.diffusion_model.output_blocks.7.1.proj_in.weight": ["t-296-0"],
    "model.diffusion_model.output_blocks.7.1.proj_in.bias": ["t-296-1"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_k.weight": ["t-299-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_q.weight": ["t-298-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_v.weight": ["t-300-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_out.0.weight": [
      "t-301-0"
    ],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-301-1"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-309-0", "t-308-0",
    ],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-309-1", "t-308-1",
    ],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.2.weight": ["t-310-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.2.bias": ["t-310-1"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_k.weight": ["t-304-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_q.weight": ["t-303-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_v.weight": ["t-305-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_out.0.weight": [
      "t-306-0"
    ],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-306-1"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm1.weight": ["t-297-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm1.bias": ["t-297-1"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm2.weight": ["t-302-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm2.bias": ["t-302-1"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3.weight": ["t-307-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3.bias": ["t-307-1"],
    "model.diffusion_model.output_blocks.7.1.proj_out.weight": ["t-311-0"],
    "model.diffusion_model.output_blocks.7.1.proj_out.bias": ["t-311-1"],
    "model.diffusion_model.output_blocks.8.0.in_layers.0.weight": ["t-312-0"],
    "model.diffusion_model.output_blocks.8.0.in_layers.0.bias": ["t-312-1"],
    "model.diffusion_model.output_blocks.8.0.in_layers.2.weight": ["t-314-0"],
    "model.diffusion_model.output_blocks.8.0.in_layers.2.bias": ["t-314-1"],
    "model.diffusion_model.output_blocks.8.0.emb_layers.1.weight": ["t-313-0"],
    "model.diffusion_model.output_blocks.8.0.emb_layers.1.bias": ["t-313-1"],
    "model.diffusion_model.output_blocks.8.0.out_layers.0.weight": ["t-315-0"],
    "model.diffusion_model.output_blocks.8.0.out_layers.0.bias": ["t-315-1"],
    "model.diffusion_model.output_blocks.8.0.out_layers.3.weight": ["t-316-0"],
    "model.diffusion_model.output_blocks.8.0.out_layers.3.bias": ["t-316-1"],
    "model.diffusion_model.output_blocks.8.0.skip_connection.weight": ["t-317-0"],
    "model.diffusion_model.output_blocks.8.0.skip_connection.bias": ["t-317-1"],
    "model.diffusion_model.output_blocks.8.1.norm.weight": ["t-318-0"],
    "model.diffusion_model.output_blocks.8.1.norm.bias": ["t-318-1"],
    "model.diffusion_model.output_blocks.8.1.proj_in.weight": ["t-319-0"],
    "model.diffusion_model.output_blocks.8.1.proj_in.bias": ["t-319-1"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_k.weight": ["t-322-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_q.weight": ["t-321-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_v.weight": ["t-323-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_out.0.weight": [
      "t-324-0"
    ],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-324-1"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-332-0", "t-331-0",
    ],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-332-1", "t-331-1",
    ],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.2.weight": ["t-333-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.2.bias": ["t-333-1"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_k.weight": ["t-327-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_q.weight": ["t-326-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_v.weight": ["t-328-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_out.0.weight": [
      "t-329-0"
    ],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-329-1"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm1.weight": ["t-320-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm1.bias": ["t-320-1"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm2.weight": ["t-325-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm2.bias": ["t-325-1"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm3.weight": ["t-330-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm3.bias": ["t-330-1"],
    "model.diffusion_model.output_blocks.8.1.proj_out.weight": ["t-334-0"],
    "model.diffusion_model.output_blocks.8.1.proj_out.bias": ["t-334-1"],
    "model.diffusion_model.output_blocks.8.2.conv.weight": ["t-335-0"],
    "model.diffusion_model.output_blocks.8.2.conv.bias": ["t-335-1"],
    "model.diffusion_model.output_blocks.9.0.in_layers.0.weight": ["t-336-0"],
    "model.diffusion_model.output_blocks.9.0.in_layers.0.bias": ["t-336-1"],
    "model.diffusion_model.output_blocks.9.0.in_layers.2.weight": ["t-338-0"],
    "model.diffusion_model.output_blocks.9.0.in_layers.2.bias": ["t-338-1"],
    "model.diffusion_model.output_blocks.9.0.emb_layers.1.weight": ["t-337-0"],
    "model.diffusion_model.output_blocks.9.0.emb_layers.1.bias": ["t-337-1"],
    "model.diffusion_model.output_blocks.9.0.out_layers.0.weight": ["t-339-0"],
    "model.diffusion_model.output_blocks.9.0.out_layers.0.bias": ["t-339-1"],
    "model.diffusion_model.output_blocks.9.0.out_layers.3.weight": ["t-340-0"],
    "model.diffusion_model.output_blocks.9.0.out_layers.3.bias": ["t-340-1"],
    "model.diffusion_model.output_blocks.9.0.skip_connection.weight": ["t-341-0"],
    "model.diffusion_model.output_blocks.9.0.skip_connection.bias": ["t-341-1"],
    "model.diffusion_model.output_blocks.9.1.norm.weight": ["t-342-0"],
    "model.diffusion_model.output_blocks.9.1.norm.bias": ["t-342-1"],
    "model.diffusion_model.output_blocks.9.1.proj_in.weight": ["t-343-0"],
    "model.diffusion_model.output_blocks.9.1.proj_in.bias": ["t-343-1"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_k.weight": ["t-346-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_q.weight": ["t-345-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_v.weight": ["t-347-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_out.0.weight": [
      "t-348-0"
    ],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-348-1"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-356-0", "t-355-0",
    ],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-356-1", "t-355-1",
    ],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.2.weight": ["t-357-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.2.bias": ["t-357-1"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_k.weight": ["t-351-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_q.weight": ["t-350-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_v.weight": ["t-352-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_out.0.weight": [
      "t-353-0"
    ],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-353-1"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm1.weight": ["t-344-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm1.bias": ["t-344-1"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm2.weight": ["t-349-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm2.bias": ["t-349-1"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm3.weight": ["t-354-0"],
    "model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm3.bias": ["t-354-1"],
    "model.diffusion_model.output_blocks.9.1.proj_out.weight": ["t-358-0"],
    "model.diffusion_model.output_blocks.9.1.proj_out.bias": ["t-358-1"],
    "model.diffusion_model.output_blocks.10.0.in_layers.0.weight": ["t-359-0"],
    "model.diffusion_model.output_blocks.10.0.in_layers.0.bias": ["t-359-1"],
    "model.diffusion_model.output_blocks.10.0.in_layers.2.weight": ["t-361-0"],
    "model.diffusion_model.output_blocks.10.0.in_layers.2.bias": ["t-361-1"],
    "model.diffusion_model.output_blocks.10.0.emb_layers.1.weight": ["t-360-0"],
    "model.diffusion_model.output_blocks.10.0.emb_layers.1.bias": ["t-360-1"],
    "model.diffusion_model.output_blocks.10.0.out_layers.0.weight": ["t-362-0"],
    "model.diffusion_model.output_blocks.10.0.out_layers.0.bias": ["t-362-1"],
    "model.diffusion_model.output_blocks.10.0.out_layers.3.weight": ["t-363-0"],
    "model.diffusion_model.output_blocks.10.0.out_layers.3.bias": ["t-363-1"],
    "model.diffusion_model.output_blocks.10.0.skip_connection.weight": ["t-364-0"],
    "model.diffusion_model.output_blocks.10.0.skip_connection.bias": ["t-364-1"],
    "model.diffusion_model.output_blocks.10.1.norm.weight": ["t-365-0"],
    "model.diffusion_model.output_blocks.10.1.norm.bias": ["t-365-1"],
    "model.diffusion_model.output_blocks.10.1.proj_in.weight": ["t-366-0"],
    "model.diffusion_model.output_blocks.10.1.proj_in.bias": ["t-366-1"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_k.weight": ["t-369-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_q.weight": ["t-368-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_v.weight": ["t-370-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_out.0.weight": [
      "t-371-0"
    ],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_out.0.bias": [
      "t-371-1"
    ],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-379-0", "t-378-0",
    ],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-379-1", "t-378-1",
    ],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.2.weight": ["t-380-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.2.bias": ["t-380-1"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_k.weight": ["t-374-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_q.weight": ["t-373-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_v.weight": ["t-375-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_out.0.weight": [
      "t-376-0"
    ],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_out.0.bias": [
      "t-376-1"
    ],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm1.weight": ["t-367-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm1.bias": ["t-367-1"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm2.weight": ["t-372-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm2.bias": ["t-372-1"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3.weight": ["t-377-0"],
    "model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3.bias": ["t-377-1"],
    "model.diffusion_model.output_blocks.10.1.proj_out.weight": ["t-381-0"],
    "model.diffusion_model.output_blocks.10.1.proj_out.bias": ["t-381-1"],
    "model.diffusion_model.output_blocks.11.0.in_layers.0.weight": ["t-382-0"],
    "model.diffusion_model.output_blocks.11.0.in_layers.0.bias": ["t-382-1"],
    "model.diffusion_model.output_blocks.11.0.in_layers.2.weight": ["t-384-0"],
    "model.diffusion_model.output_blocks.11.0.in_layers.2.bias": ["t-384-1"],
    "model.diffusion_model.output_blocks.11.0.emb_layers.1.weight": ["t-383-0"],
    "model.diffusion_model.output_blocks.11.0.emb_layers.1.bias": ["t-383-1"],
    "model.diffusion_model.output_blocks.11.0.out_layers.0.weight": ["t-385-0"],
    "model.diffusion_model.output_blocks.11.0.out_layers.0.bias": ["t-385-1"],
    "model.diffusion_model.output_blocks.11.0.out_layers.3.weight": ["t-386-0"],
    "model.diffusion_model.output_blocks.11.0.out_layers.3.bias": ["t-386-1"],
    "model.diffusion_model.output_blocks.11.0.skip_connection.weight": ["t-387-0"],
    "model.diffusion_model.output_blocks.11.0.skip_connection.bias": ["t-387-1"],
    "model.diffusion_model.output_blocks.11.1.norm.weight": ["t-388-0"],
    "model.diffusion_model.output_blocks.11.1.norm.bias": ["t-388-1"],
    "model.diffusion_model.output_blocks.11.1.proj_in.weight": ["t-389-0"],
    "model.diffusion_model.output_blocks.11.1.proj_in.bias": ["t-389-1"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_k.weight": ["t-392-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_q.weight": ["t-391-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_v.weight": ["t-393-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_out.0.weight": [
      "t-394-0"
    ],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_out.0.bias": [
      "t-394-1"
    ],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-402-0", "t-401-0",
    ],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-402-1", "t-401-1",
    ],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.2.weight": ["t-403-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.2.bias": ["t-403-1"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_k.weight": ["t-397-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_q.weight": ["t-396-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_v.weight": ["t-398-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_out.0.weight": [
      "t-399-0"
    ],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_out.0.bias": [
      "t-399-1"
    ],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm1.weight": ["t-390-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm1.bias": ["t-390-1"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm2.weight": ["t-395-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm2.bias": ["t-395-1"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3.weight": ["t-400-0"],
    "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3.bias": ["t-400-1"],
    "model.diffusion_model.output_blocks.11.1.proj_out.weight": ["t-404-0"],
    "model.diffusion_model.output_blocks.11.1.proj_out.bias": ["t-404-1"],
    "model.diffusion_model.out.0.weight": ["t-405-0"],
    "model.diffusion_model.out.0.bias": ["t-405-1"],
    "model.diffusion_model.out.2.weight": ["t-406-0"],
    "model.diffusion_model.out.2.bias": ["t-406-1"],
  ]

  public static let Encoder: ModelWeightMapping = [
    "first_stage_model.encoder.conv_in.weight": ["t-0-0"],
    "first_stage_model.encoder.conv_in.bias": ["t-0-1"],
    "first_stage_model.encoder.down.0.block.0.norm1.weight": ["t-1-0"],
    "first_stage_model.encoder.down.0.block.0.norm1.bias": ["t-1-1"],
    "first_stage_model.encoder.down.0.block.0.conv1.weight": ["t-2-0"],
    "first_stage_model.encoder.down.0.block.0.conv1.bias": ["t-2-1"],
    "first_stage_model.encoder.down.0.block.0.norm2.weight": ["t-3-0"],
    "first_stage_model.encoder.down.0.block.0.norm2.bias": ["t-3-1"],
    "first_stage_model.encoder.down.0.block.0.conv2.weight": ["t-4-0"],
    "first_stage_model.encoder.down.0.block.0.conv2.bias": ["t-4-1"],
    "first_stage_model.encoder.down.0.block.1.norm1.weight": ["t-5-0"],
    "first_stage_model.encoder.down.0.block.1.norm1.bias": ["t-5-1"],
    "first_stage_model.encoder.down.0.block.1.conv1.weight": ["t-6-0"],
    "first_stage_model.encoder.down.0.block.1.conv1.bias": ["t-6-1"],
    "first_stage_model.encoder.down.0.block.1.norm2.weight": ["t-7-0"],
    "first_stage_model.encoder.down.0.block.1.norm2.bias": ["t-7-1"],
    "first_stage_model.encoder.down.0.block.1.conv2.weight": ["t-8-0"],
    "first_stage_model.encoder.down.0.block.1.conv2.bias": ["t-8-1"],
    "first_stage_model.encoder.down.0.downsample.conv.weight": ["t-9-0"],
    "first_stage_model.encoder.down.0.downsample.conv.bias": ["t-9-1"],
    "first_stage_model.encoder.down.1.block.0.norm1.weight": ["t-10-0"],
    "first_stage_model.encoder.down.1.block.0.norm1.bias": ["t-10-1"],
    "first_stage_model.encoder.down.1.block.0.conv1.weight": ["t-11-0"],
    "first_stage_model.encoder.down.1.block.0.conv1.bias": ["t-11-1"],
    "first_stage_model.encoder.down.1.block.0.norm2.weight": ["t-12-0"],
    "first_stage_model.encoder.down.1.block.0.norm2.bias": ["t-12-1"],
    "first_stage_model.encoder.down.1.block.0.conv2.weight": ["t-13-0"],
    "first_stage_model.encoder.down.1.block.0.conv2.bias": ["t-13-1"],
    "first_stage_model.encoder.down.1.block.0.nin_shortcut.weight": ["t-14-0"],
    "first_stage_model.encoder.down.1.block.0.nin_shortcut.bias": ["t-14-1"],
    "first_stage_model.encoder.down.1.block.1.norm1.weight": ["t-15-0"],
    "first_stage_model.encoder.down.1.block.1.norm1.bias": ["t-15-1"],
    "first_stage_model.encoder.down.1.block.1.conv1.weight": ["t-16-0"],
    "first_stage_model.encoder.down.1.block.1.conv1.bias": ["t-16-1"],
    "first_stage_model.encoder.down.1.block.1.norm2.weight": ["t-17-0"],
    "first_stage_model.encoder.down.1.block.1.norm2.bias": ["t-17-1"],
    "first_stage_model.encoder.down.1.block.1.conv2.weight": ["t-18-0"],
    "first_stage_model.encoder.down.1.block.1.conv2.bias": ["t-18-1"],
    "first_stage_model.encoder.down.1.downsample.conv.weight": ["t-19-0"],
    "first_stage_model.encoder.down.1.downsample.conv.bias": ["t-19-1"],
    "first_stage_model.encoder.down.2.block.0.norm1.weight": ["t-20-0"],
    "first_stage_model.encoder.down.2.block.0.norm1.bias": ["t-20-1"],
    "first_stage_model.encoder.down.2.block.0.conv1.weight": ["t-21-0"],
    "first_stage_model.encoder.down.2.block.0.conv1.bias": ["t-21-1"],
    "first_stage_model.encoder.down.2.block.0.norm2.weight": ["t-22-0"],
    "first_stage_model.encoder.down.2.block.0.norm2.bias": ["t-22-1"],
    "first_stage_model.encoder.down.2.block.0.conv2.weight": ["t-23-0"],
    "first_stage_model.encoder.down.2.block.0.conv2.bias": ["t-23-1"],
    "first_stage_model.encoder.down.2.block.0.nin_shortcut.weight": ["t-24-0"],
    "first_stage_model.encoder.down.2.block.0.nin_shortcut.bias": ["t-24-1"],
    "first_stage_model.encoder.down.2.block.1.norm1.weight": ["t-25-0"],
    "first_stage_model.encoder.down.2.block.1.norm1.bias": ["t-25-1"],
    "first_stage_model.encoder.down.2.block.1.conv1.weight": ["t-26-0"],
    "first_stage_model.encoder.down.2.block.1.conv1.bias": ["t-26-1"],
    "first_stage_model.encoder.down.2.block.1.norm2.weight": ["t-27-0"],
    "first_stage_model.encoder.down.2.block.1.norm2.bias": ["t-27-1"],
    "first_stage_model.encoder.down.2.block.1.conv2.weight": ["t-28-0"],
    "first_stage_model.encoder.down.2.block.1.conv2.bias": ["t-28-1"],
    "first_stage_model.encoder.down.2.downsample.conv.weight": ["t-29-0"],
    "first_stage_model.encoder.down.2.downsample.conv.bias": ["t-29-1"],
    "first_stage_model.encoder.down.3.block.0.norm1.weight": ["t-30-0"],
    "first_stage_model.encoder.down.3.block.0.norm1.bias": ["t-30-1"],
    "first_stage_model.encoder.down.3.block.0.conv1.weight": ["t-31-0"],
    "first_stage_model.encoder.down.3.block.0.conv1.bias": ["t-31-1"],
    "first_stage_model.encoder.down.3.block.0.norm2.weight": ["t-32-0"],
    "first_stage_model.encoder.down.3.block.0.norm2.bias": ["t-32-1"],
    "first_stage_model.encoder.down.3.block.0.conv2.weight": ["t-33-0"],
    "first_stage_model.encoder.down.3.block.0.conv2.bias": ["t-33-1"],
    "first_stage_model.encoder.down.3.block.1.norm1.weight": ["t-34-0"],
    "first_stage_model.encoder.down.3.block.1.norm1.bias": ["t-34-1"],
    "first_stage_model.encoder.down.3.block.1.conv1.weight": ["t-35-0"],
    "first_stage_model.encoder.down.3.block.1.conv1.bias": ["t-35-1"],
    "first_stage_model.encoder.down.3.block.1.norm2.weight": ["t-36-0"],
    "first_stage_model.encoder.down.3.block.1.norm2.bias": ["t-36-1"],
    "first_stage_model.encoder.down.3.block.1.conv2.weight": ["t-37-0"],
    "first_stage_model.encoder.down.3.block.1.conv2.bias": ["t-37-1"],
    "first_stage_model.encoder.mid.block_1.norm1.weight": ["t-38-0"],
    "first_stage_model.encoder.mid.block_1.norm1.bias": ["t-38-1"],
    "first_stage_model.encoder.mid.block_1.conv1.weight": ["t-39-0"],
    "first_stage_model.encoder.mid.block_1.conv1.bias": ["t-39-1"],
    "first_stage_model.encoder.mid.block_1.norm2.weight": ["t-40-0"],
    "first_stage_model.encoder.mid.block_1.norm2.bias": ["t-40-1"],
    "first_stage_model.encoder.mid.block_1.conv2.weight": ["t-41-0"],
    "first_stage_model.encoder.mid.block_1.conv2.bias": ["t-41-1"],
    "first_stage_model.encoder.mid.attn_1.norm.weight": ["t-42-0"],
    "first_stage_model.encoder.mid.attn_1.norm.bias": ["t-42-1"],
    "first_stage_model.encoder.mid.attn_1.k.weight": ["t-44-0"],
    "first_stage_model.encoder.mid.attn_1.k.bias": ["t-44-1"],
    "first_stage_model.encoder.mid.attn_1.q.weight": ["t-43-0"],
    "first_stage_model.encoder.mid.attn_1.q.bias": ["t-43-1"],
    "first_stage_model.encoder.mid.attn_1.v.weight": ["t-45-0"],
    "first_stage_model.encoder.mid.attn_1.v.bias": ["t-45-1"],
    "first_stage_model.encoder.mid.attn_1.proj_out.weight": ["t-46-0"],
    "first_stage_model.encoder.mid.attn_1.proj_out.bias": ["t-46-1"],
    "first_stage_model.encoder.mid.block_2.norm1.weight": ["t-47-0"],
    "first_stage_model.encoder.mid.block_2.norm1.bias": ["t-47-1"],
    "first_stage_model.encoder.mid.block_2.conv1.weight": ["t-48-0"],
    "first_stage_model.encoder.mid.block_2.conv1.bias": ["t-48-1"],
    "first_stage_model.encoder.mid.block_2.norm2.weight": ["t-49-0"],
    "first_stage_model.encoder.mid.block_2.norm2.bias": ["t-49-1"],
    "first_stage_model.encoder.mid.block_2.conv2.weight": ["t-50-0"],
    "first_stage_model.encoder.mid.block_2.conv2.bias": ["t-50-1"],
    "first_stage_model.encoder.norm_out.weight": ["t-51-0"],
    "first_stage_model.encoder.norm_out.bias": ["t-51-1"],
    "first_stage_model.encoder.conv_out.weight": ["t-52-0"],
    "first_stage_model.encoder.conv_out.bias": ["t-52-1"],
    "first_stage_model.quant_conv.weight": ["t-53-0"],
    "first_stage_model.quant_conv.bias": ["t-53-1"],
  ]
  public static let Decoder: ModelWeightMapping = [
    "first_stage_model.post_quant_conv.weight": ["t-0-0"],
    "first_stage_model.post_quant_conv.bias": ["t-0-1"],
    "first_stage_model.decoder.conv_in.weight": ["t-1-0"],
    "first_stage_model.decoder.conv_in.bias": ["t-1-1"],
    "first_stage_model.decoder.mid.block_1.norm1.weight": ["t-2-0"],
    "first_stage_model.decoder.mid.block_1.norm1.bias": ["t-2-1"],
    "first_stage_model.decoder.mid.block_1.conv1.weight": ["t-3-0"],
    "first_stage_model.decoder.mid.block_1.conv1.bias": ["t-3-1"],
    "first_stage_model.decoder.mid.block_1.norm2.weight": ["t-4-0"],
    "first_stage_model.decoder.mid.block_1.norm2.bias": ["t-4-1"],
    "first_stage_model.decoder.mid.block_1.conv2.weight": ["t-5-0"],
    "first_stage_model.decoder.mid.block_1.conv2.bias": ["t-5-1"],
    "first_stage_model.decoder.mid.attn_1.norm.weight": ["t-6-0"],
    "first_stage_model.decoder.mid.attn_1.norm.bias": ["t-6-1"],
    "first_stage_model.decoder.mid.attn_1.k.weight": ["t-8-0"],
    "first_stage_model.decoder.mid.attn_1.k.bias": ["t-8-1"],
    "first_stage_model.decoder.mid.attn_1.q.weight": ["t-7-0"],
    "first_stage_model.decoder.mid.attn_1.q.bias": ["t-7-1"],
    "first_stage_model.decoder.mid.attn_1.v.weight": ["t-9-0"],
    "first_stage_model.decoder.mid.attn_1.v.bias": ["t-9-1"],
    "first_stage_model.decoder.mid.attn_1.proj_out.weight": ["t-10-0"],
    "first_stage_model.decoder.mid.attn_1.proj_out.bias": ["t-10-1"],
    "first_stage_model.decoder.mid.block_2.norm1.weight": ["t-11-0"],
    "first_stage_model.decoder.mid.block_2.norm1.bias": ["t-11-1"],
    "first_stage_model.decoder.mid.block_2.conv1.weight": ["t-12-0"],
    "first_stage_model.decoder.mid.block_2.conv1.bias": ["t-12-1"],
    "first_stage_model.decoder.mid.block_2.norm2.weight": ["t-13-0"],
    "first_stage_model.decoder.mid.block_2.norm2.bias": ["t-13-1"],
    "first_stage_model.decoder.mid.block_2.conv2.weight": ["t-14-0"],
    "first_stage_model.decoder.mid.block_2.conv2.bias": ["t-14-1"],
    "first_stage_model.decoder.up.3.block.0.norm1.weight": ["t-15-0"],
    "first_stage_model.decoder.up.3.block.0.norm1.bias": ["t-15-1"],
    "first_stage_model.decoder.up.3.block.0.conv1.weight": ["t-16-0"],
    "first_stage_model.decoder.up.3.block.0.conv1.bias": ["t-16-1"],
    "first_stage_model.decoder.up.3.block.0.norm2.weight": ["t-17-0"],
    "first_stage_model.decoder.up.3.block.0.norm2.bias": ["t-17-1"],
    "first_stage_model.decoder.up.3.block.0.conv2.weight": ["t-18-0"],
    "first_stage_model.decoder.up.3.block.0.conv2.bias": ["t-18-1"],
    "first_stage_model.decoder.up.3.block.1.norm1.weight": ["t-19-0"],
    "first_stage_model.decoder.up.3.block.1.norm1.bias": ["t-19-1"],
    "first_stage_model.decoder.up.3.block.1.conv1.weight": ["t-20-0"],
    "first_stage_model.decoder.up.3.block.1.conv1.bias": ["t-20-1"],
    "first_stage_model.decoder.up.3.block.1.norm2.weight": ["t-21-0"],
    "first_stage_model.decoder.up.3.block.1.norm2.bias": ["t-21-1"],
    "first_stage_model.decoder.up.3.block.1.conv2.weight": ["t-22-0"],
    "first_stage_model.decoder.up.3.block.1.conv2.bias": ["t-22-1"],
    "first_stage_model.decoder.up.3.block.2.norm1.weight": ["t-23-0"],
    "first_stage_model.decoder.up.3.block.2.norm1.bias": ["t-23-1"],
    "first_stage_model.decoder.up.3.block.2.conv1.weight": ["t-24-0"],
    "first_stage_model.decoder.up.3.block.2.conv1.bias": ["t-24-1"],
    "first_stage_model.decoder.up.3.block.2.norm2.weight": ["t-25-0"],
    "first_stage_model.decoder.up.3.block.2.norm2.bias": ["t-25-1"],
    "first_stage_model.decoder.up.3.block.2.conv2.weight": ["t-26-0"],
    "first_stage_model.decoder.up.3.block.2.conv2.bias": ["t-26-1"],
    "first_stage_model.decoder.up.3.upsample.conv.weight": ["t-27-0"],
    "first_stage_model.decoder.up.3.upsample.conv.bias": ["t-27-1"],
    "first_stage_model.decoder.up.2.block.0.norm1.weight": ["t-28-0"],
    "first_stage_model.decoder.up.2.block.0.norm1.bias": ["t-28-1"],
    "first_stage_model.decoder.up.2.block.0.conv1.weight": ["t-29-0"],
    "first_stage_model.decoder.up.2.block.0.conv1.bias": ["t-29-1"],
    "first_stage_model.decoder.up.2.block.0.norm2.weight": ["t-30-0"],
    "first_stage_model.decoder.up.2.block.0.norm2.bias": ["t-30-1"],
    "first_stage_model.decoder.up.2.block.0.conv2.weight": ["t-31-0"],
    "first_stage_model.decoder.up.2.block.0.conv2.bias": ["t-31-1"],
    "first_stage_model.decoder.up.2.block.1.norm1.weight": ["t-32-0"],
    "first_stage_model.decoder.up.2.block.1.norm1.bias": ["t-32-1"],
    "first_stage_model.decoder.up.2.block.1.conv1.weight": ["t-33-0"],
    "first_stage_model.decoder.up.2.block.1.conv1.bias": ["t-33-1"],
    "first_stage_model.decoder.up.2.block.1.norm2.weight": ["t-34-0"],
    "first_stage_model.decoder.up.2.block.1.norm2.bias": ["t-34-1"],
    "first_stage_model.decoder.up.2.block.1.conv2.weight": ["t-35-0"],
    "first_stage_model.decoder.up.2.block.1.conv2.bias": ["t-35-1"],
    "first_stage_model.decoder.up.2.block.2.norm1.weight": ["t-36-0"],
    "first_stage_model.decoder.up.2.block.2.norm1.bias": ["t-36-1"],
    "first_stage_model.decoder.up.2.block.2.conv1.weight": ["t-37-0"],
    "first_stage_model.decoder.up.2.block.2.conv1.bias": ["t-37-1"],
    "first_stage_model.decoder.up.2.block.2.norm2.weight": ["t-38-0"],
    "first_stage_model.decoder.up.2.block.2.norm2.bias": ["t-38-1"],
    "first_stage_model.decoder.up.2.block.2.conv2.weight": ["t-39-0"],
    "first_stage_model.decoder.up.2.block.2.conv2.bias": ["t-39-1"],
    "first_stage_model.decoder.up.2.upsample.conv.weight": ["t-40-0"],
    "first_stage_model.decoder.up.2.upsample.conv.bias": ["t-40-1"],
    "first_stage_model.decoder.up.1.block.0.norm1.weight": ["t-41-0"],
    "first_stage_model.decoder.up.1.block.0.norm1.bias": ["t-41-1"],
    "first_stage_model.decoder.up.1.block.0.conv1.weight": ["t-42-0"],
    "first_stage_model.decoder.up.1.block.0.conv1.bias": ["t-42-1"],
    "first_stage_model.decoder.up.1.block.0.norm2.weight": ["t-43-0"],
    "first_stage_model.decoder.up.1.block.0.norm2.bias": ["t-43-1"],
    "first_stage_model.decoder.up.1.block.0.conv2.weight": ["t-44-0"],
    "first_stage_model.decoder.up.1.block.0.conv2.bias": ["t-44-1"],
    "first_stage_model.decoder.up.1.block.0.nin_shortcut.weight": ["t-45-0"],
    "first_stage_model.decoder.up.1.block.0.nin_shortcut.bias": ["t-45-1"],
    "first_stage_model.decoder.up.1.block.1.norm1.weight": ["t-46-0"],
    "first_stage_model.decoder.up.1.block.1.norm1.bias": ["t-46-1"],
    "first_stage_model.decoder.up.1.block.1.conv1.weight": ["t-47-0"],
    "first_stage_model.decoder.up.1.block.1.conv1.bias": ["t-47-1"],
    "first_stage_model.decoder.up.1.block.1.norm2.weight": ["t-48-0"],
    "first_stage_model.decoder.up.1.block.1.norm2.bias": ["t-48-1"],
    "first_stage_model.decoder.up.1.block.1.conv2.weight": ["t-49-0"],
    "first_stage_model.decoder.up.1.block.1.conv2.bias": ["t-49-1"],
    "first_stage_model.decoder.up.1.block.2.norm1.weight": ["t-50-0"],
    "first_stage_model.decoder.up.1.block.2.norm1.bias": ["t-50-1"],
    "first_stage_model.decoder.up.1.block.2.conv1.weight": ["t-51-0"],
    "first_stage_model.decoder.up.1.block.2.conv1.bias": ["t-51-1"],
    "first_stage_model.decoder.up.1.block.2.norm2.weight": ["t-52-0"],
    "first_stage_model.decoder.up.1.block.2.norm2.bias": ["t-52-1"],
    "first_stage_model.decoder.up.1.block.2.conv2.weight": ["t-53-0"],
    "first_stage_model.decoder.up.1.block.2.conv2.bias": ["t-53-1"],
    "first_stage_model.decoder.up.1.upsample.conv.weight": ["t-54-0"],
    "first_stage_model.decoder.up.1.upsample.conv.bias": ["t-54-1"],
    "first_stage_model.decoder.up.0.block.0.norm1.weight": ["t-55-0"],
    "first_stage_model.decoder.up.0.block.0.norm1.bias": ["t-55-1"],
    "first_stage_model.decoder.up.0.block.0.conv1.weight": ["t-56-0"],
    "first_stage_model.decoder.up.0.block.0.conv1.bias": ["t-56-1"],
    "first_stage_model.decoder.up.0.block.0.norm2.weight": ["t-57-0"],
    "first_stage_model.decoder.up.0.block.0.norm2.bias": ["t-57-1"],
    "first_stage_model.decoder.up.0.block.0.conv2.weight": ["t-58-0"],
    "first_stage_model.decoder.up.0.block.0.conv2.bias": ["t-58-1"],
    "first_stage_model.decoder.up.0.block.0.nin_shortcut.weight": ["t-59-0"],
    "first_stage_model.decoder.up.0.block.0.nin_shortcut.bias": ["t-59-1"],
    "first_stage_model.decoder.up.0.block.1.norm1.weight": ["t-60-0"],
    "first_stage_model.decoder.up.0.block.1.norm1.bias": ["t-60-1"],
    "first_stage_model.decoder.up.0.block.1.conv1.weight": ["t-61-0"],
    "first_stage_model.decoder.up.0.block.1.conv1.bias": ["t-61-1"],
    "first_stage_model.decoder.up.0.block.1.norm2.weight": ["t-62-0"],
    "first_stage_model.decoder.up.0.block.1.norm2.bias": ["t-62-1"],
    "first_stage_model.decoder.up.0.block.1.conv2.weight": ["t-63-0"],
    "first_stage_model.decoder.up.0.block.1.conv2.bias": ["t-63-1"],
    "first_stage_model.decoder.up.0.block.2.norm1.weight": ["t-64-0"],
    "first_stage_model.decoder.up.0.block.2.norm1.bias": ["t-64-1"],
    "first_stage_model.decoder.up.0.block.2.conv1.weight": ["t-65-0"],
    "first_stage_model.decoder.up.0.block.2.conv1.bias": ["t-65-1"],
    "first_stage_model.decoder.up.0.block.2.norm2.weight": ["t-66-0"],
    "first_stage_model.decoder.up.0.block.2.norm2.bias": ["t-66-1"],
    "first_stage_model.decoder.up.0.block.2.conv2.weight": ["t-67-0"],
    "first_stage_model.decoder.up.0.block.2.conv2.bias": ["t-67-1"],
    "first_stage_model.decoder.norm_out.weight": ["t-68-0"],
    "first_stage_model.decoder.norm_out.bias": ["t-68-1"],
    "first_stage_model.decoder.conv_out.weight": ["t-69-0"],
    "first_stage_model.decoder.conv_out.bias": ["t-69-1"],
  ]

  public static let UNetXLRefinerFixed: ModelWeightMapping = [
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight": ["t-0-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight": ["t-1-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_k.weight": ["t-2-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_v.weight": ["t-3-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn2.to_k.weight": ["t-4-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn2.to_v.weight": ["t-5-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn2.to_k.weight": ["t-6-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn2.to_v.weight": ["t-7-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight": ["t-8-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight": ["t-9-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_k.weight": ["t-10-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_v.weight": ["t-11-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn2.to_k.weight": ["t-12-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn2.to_v.weight": ["t-13-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.3.attn2.to_k.weight": ["t-14-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.3.attn2.to_v.weight": ["t-15-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight": ["t-16-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight": ["t-17-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.1.attn2.to_k.weight": ["t-18-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.1.attn2.to_v.weight": ["t-19-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.2.attn2.to_k.weight": ["t-20-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.2.attn2.to_v.weight": ["t-21-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.3.attn2.to_k.weight": ["t-22-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.3.attn2.to_v.weight": ["t-23-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight": ["t-24-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight": ["t-25-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.1.attn2.to_k.weight": ["t-26-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.1.attn2.to_v.weight": ["t-27-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.2.attn2.to_k.weight": ["t-28-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.2.attn2.to_v.weight": ["t-29-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.3.attn2.to_k.weight": ["t-30-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.3.attn2.to_v.weight": ["t-31-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight": ["t-32-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight": ["t-33-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.1.attn2.to_k.weight": ["t-34-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.1.attn2.to_v.weight": ["t-35-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_k.weight": ["t-36-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_v.weight": ["t-37-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_k.weight": ["t-38-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_v.weight": ["t-39-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight": ["t-40-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight": ["t-41-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn2.to_k.weight": ["t-42-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn2.to_v.weight": ["t-43-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.2.attn2.to_k.weight": ["t-44-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.2.attn2.to_v.weight": ["t-45-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.3.attn2.to_k.weight": ["t-46-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.3.attn2.to_v.weight": ["t-47-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight": ["t-48-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight": ["t-49-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_k.weight": ["t-50-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_v.weight": ["t-51-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.2.attn2.to_k.weight": ["t-52-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.2.attn2.to_v.weight": ["t-53-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.3.attn2.to_k.weight": ["t-54-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.3.attn2.to_v.weight": ["t-55-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight": ["t-56-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight": ["t-57-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_k.weight": ["t-58-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_v.weight": ["t-59-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.2.attn2.to_k.weight": ["t-60-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.2.attn2.to_v.weight": ["t-61-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.3.attn2.to_k.weight": ["t-62-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.3.attn2.to_v.weight": ["t-63-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_k.weight": ["t-64-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_v.weight": ["t-65-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.1.attn2.to_k.weight": ["t-66-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.1.attn2.to_v.weight": ["t-67-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.2.attn2.to_k.weight": ["t-68-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.2.attn2.to_v.weight": ["t-69-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.3.attn2.to_k.weight": ["t-70-0"],
    "model.diffusion_model.output_blocks.6.1.transformer_blocks.3.attn2.to_v.weight": ["t-71-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_k.weight": ["t-72-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_v.weight": ["t-73-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.1.attn2.to_k.weight": ["t-74-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.1.attn2.to_v.weight": ["t-75-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.2.attn2.to_k.weight": ["t-76-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.2.attn2.to_v.weight": ["t-77-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.3.attn2.to_k.weight": ["t-78-0"],
    "model.diffusion_model.output_blocks.7.1.transformer_blocks.3.attn2.to_v.weight": ["t-79-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_k.weight": ["t-80-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_v.weight": ["t-81-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.1.attn2.to_k.weight": ["t-82-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.1.attn2.to_v.weight": ["t-83-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.2.attn2.to_k.weight": ["t-84-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.2.attn2.to_v.weight": ["t-85-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.3.attn2.to_k.weight": ["t-86-0"],
    "model.diffusion_model.output_blocks.8.1.transformer_blocks.3.attn2.to_v.weight": ["t-87-0"],
  ]

  public static let UNetXLBaseFixed: ModelWeightMapping = [
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight": ["t-0-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight": ["t-1-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_k.weight": ["t-2-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_v.weight": ["t-3-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight": ["t-4-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight": ["t-5-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_k.weight": ["t-6-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_v.weight": ["t-7-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight": ["t-8-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight": ["t-9-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.1.attn2.to_k.weight": ["t-10-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.1.attn2.to_v.weight": ["t-11-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.2.attn2.to_k.weight": ["t-12-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.2.attn2.to_v.weight": ["t-13-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.3.attn2.to_k.weight": ["t-14-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.3.attn2.to_v.weight": ["t-15-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn2.to_k.weight": ["t-16-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.4.attn2.to_v.weight": ["t-17-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.5.attn2.to_k.weight": ["t-18-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.5.attn2.to_v.weight": ["t-19-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.6.attn2.to_k.weight": ["t-20-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.6.attn2.to_v.weight": ["t-21-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.7.attn2.to_k.weight": ["t-22-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.7.attn2.to_v.weight": ["t-23-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.8.attn2.to_k.weight": ["t-24-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.8.attn2.to_v.weight": ["t-25-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.9.attn2.to_k.weight": ["t-26-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.9.attn2.to_v.weight": ["t-27-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight": ["t-28-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight": ["t-29-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.1.attn2.to_k.weight": ["t-30-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.1.attn2.to_v.weight": ["t-31-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.2.attn2.to_k.weight": ["t-32-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.2.attn2.to_v.weight": ["t-33-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.3.attn2.to_k.weight": ["t-34-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.3.attn2.to_v.weight": ["t-35-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.4.attn2.to_k.weight": ["t-36-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.4.attn2.to_v.weight": ["t-37-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.5.attn2.to_k.weight": ["t-38-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.5.attn2.to_v.weight": ["t-39-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.6.attn2.to_k.weight": ["t-40-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.6.attn2.to_v.weight": ["t-41-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.7.attn2.to_k.weight": ["t-42-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.7.attn2.to_v.weight": ["t-43-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.8.attn2.to_k.weight": ["t-44-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.8.attn2.to_v.weight": ["t-45-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.9.attn2.to_k.weight": ["t-46-0"],
    "model.diffusion_model.input_blocks.8.1.transformer_blocks.9.attn2.to_v.weight": ["t-47-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight": ["t-48-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight": ["t-49-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.1.attn2.to_k.weight": ["t-50-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.1.attn2.to_v.weight": ["t-51-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_k.weight": ["t-52-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.2.attn2.to_v.weight": ["t-53-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_k.weight": ["t-54-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.3.attn2.to_v.weight": ["t-55-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.4.attn2.to_k.weight": ["t-56-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.4.attn2.to_v.weight": ["t-57-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.5.attn2.to_k.weight": ["t-58-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.5.attn2.to_v.weight": ["t-59-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.6.attn2.to_k.weight": ["t-60-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.6.attn2.to_v.weight": ["t-61-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.7.attn2.to_k.weight": ["t-62-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.7.attn2.to_v.weight": ["t-63-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.8.attn2.to_k.weight": ["t-64-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.8.attn2.to_v.weight": ["t-65-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.9.attn2.to_k.weight": ["t-66-0"],
    "model.diffusion_model.middle_block.1.transformer_blocks.9.attn2.to_v.weight": ["t-67-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.0.attn2.to_k.weight": ["t-68-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.0.attn2.to_v.weight": ["t-69-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.1.attn2.to_k.weight": ["t-70-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.1.attn2.to_v.weight": ["t-71-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.2.attn2.to_k.weight": ["t-72-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.2.attn2.to_v.weight": ["t-73-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.3.attn2.to_k.weight": ["t-74-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.3.attn2.to_v.weight": ["t-75-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.4.attn2.to_k.weight": ["t-76-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.4.attn2.to_v.weight": ["t-77-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.5.attn2.to_k.weight": ["t-78-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.5.attn2.to_v.weight": ["t-79-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.6.attn2.to_k.weight": ["t-80-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.6.attn2.to_v.weight": ["t-81-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.7.attn2.to_k.weight": ["t-82-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.7.attn2.to_v.weight": ["t-83-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.8.attn2.to_k.weight": ["t-84-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.8.attn2.to_v.weight": ["t-85-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.9.attn2.to_k.weight": ["t-86-0"],
    "model.diffusion_model.output_blocks.0.1.transformer_blocks.9.attn2.to_v.weight": ["t-87-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.0.attn2.to_k.weight": ["t-88-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.0.attn2.to_v.weight": ["t-89-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.1.attn2.to_k.weight": ["t-90-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.1.attn2.to_v.weight": ["t-91-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.2.attn2.to_k.weight": ["t-92-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.2.attn2.to_v.weight": ["t-93-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.3.attn2.to_k.weight": ["t-94-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.3.attn2.to_v.weight": ["t-95-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.4.attn2.to_k.weight": ["t-96-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.4.attn2.to_v.weight": ["t-97-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.5.attn2.to_k.weight": ["t-98-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.5.attn2.to_v.weight": ["t-99-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.6.attn2.to_k.weight": ["t-100-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.6.attn2.to_v.weight": ["t-101-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.7.attn2.to_k.weight": ["t-102-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.7.attn2.to_v.weight": ["t-103-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.8.attn2.to_k.weight": ["t-104-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.8.attn2.to_v.weight": ["t-105-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.9.attn2.to_k.weight": ["t-106-0"],
    "model.diffusion_model.output_blocks.1.1.transformer_blocks.9.attn2.to_v.weight": ["t-107-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn2.to_k.weight": ["t-108-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.0.attn2.to_v.weight": ["t-109-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.1.attn2.to_k.weight": ["t-110-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.1.attn2.to_v.weight": ["t-111-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.2.attn2.to_k.weight": ["t-112-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.2.attn2.to_v.weight": ["t-113-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.3.attn2.to_k.weight": ["t-114-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.3.attn2.to_v.weight": ["t-115-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn2.to_k.weight": ["t-116-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.4.attn2.to_v.weight": ["t-117-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn2.to_k.weight": ["t-118-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.5.attn2.to_v.weight": ["t-119-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn2.to_k.weight": ["t-120-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.6.attn2.to_v.weight": ["t-121-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_k.weight": ["t-122-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_v.weight": ["t-123-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_k.weight": ["t-124-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_v.weight": ["t-125-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn2.to_k.weight": ["t-126-0"],
    "model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn2.to_v.weight": ["t-127-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight": ["t-128-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight": ["t-129-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn2.to_k.weight": ["t-130-0"],
    "model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn2.to_v.weight": ["t-131-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight": ["t-132-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight": ["t-133-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_k.weight": ["t-134-0"],
    "model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_v.weight": ["t-135-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight": ["t-136-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight": ["t-137-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_k.weight": ["t-138-0"],
    "model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_v.weight": ["t-139-0"],
  ]

  public static let UNetXLBase: ModelWeightMapping = [
    "model.diffusion_model.time_embed.0.weight": ["t-2-0"],
    "model.diffusion_model.time_embed.0.bias": ["t-2-1"],
    "model.diffusion_model.time_embed.2.weight": ["t-3-0"],
    "model.diffusion_model.time_embed.2.bias": ["t-3-1"],
    "model.diffusion_model.label_emb.0.0.weight": ["t-0-0"],
    "model.diffusion_model.label_emb.0.0.bias": ["t-0-1"],
    "model.diffusion_model.label_emb.0.2.weight": ["t-1-0"],
    "model.diffusion_model.label_emb.0.2.bias": ["t-1-1"],
    "model.diffusion_model.input_blocks.0.0.weight": ["t-4-0"],
    "model.diffusion_model.input_blocks.0.0.bias": ["t-4-1"],
    "model.diffusion_model.input_blocks.1.0.in_layers.0.weight": ["t-5-0"],
    "model.diffusion_model.input_blocks.1.0.in_layers.0.bias": ["t-5-1"],
    "model.diffusion_model.input_blocks.1.0.in_layers.2.weight": ["t-7-0"],
    "model.diffusion_model.input_blocks.1.0.in_layers.2.bias": ["t-7-1"],
    "model.diffusion_model.input_blocks.1.0.emb_layers.1.weight": ["t-6-0"],
    "model.diffusion_model.input_blocks.1.0.emb_layers.1.bias": ["t-6-1"],
    "model.diffusion_model.input_blocks.1.0.out_layers.0.weight": ["t-8-0"],
    "model.diffusion_model.input_blocks.1.0.out_layers.0.bias": ["t-8-1"],
    "model.diffusion_model.input_blocks.1.0.out_layers.3.weight": ["t-9-0"],
    "model.diffusion_model.input_blocks.1.0.out_layers.3.bias": ["t-9-1"],
    "model.diffusion_model.input_blocks.2.0.in_layers.0.weight": ["t-10-0"],
    "model.diffusion_model.input_blocks.2.0.in_layers.0.bias": ["t-10-1"],
    "model.diffusion_model.input_blocks.2.0.in_layers.2.weight": ["t-12-0"],
    "model.diffusion_model.input_blocks.2.0.in_layers.2.bias": ["t-12-1"],
    "model.diffusion_model.input_blocks.2.0.emb_layers.1.weight": ["t-11-0"],
    "model.diffusion_model.input_blocks.2.0.emb_layers.1.bias": ["t-11-1"],
    "model.diffusion_model.input_blocks.2.0.out_layers.0.weight": ["t-13-0"],
    "model.diffusion_model.input_blocks.2.0.out_layers.0.bias": ["t-13-1"],
    "model.diffusion_model.input_blocks.2.0.out_layers.3.weight": ["t-14-0"],
    "model.diffusion_model.input_blocks.2.0.out_layers.3.bias": ["t-14-1"],
    "model.diffusion_model.input_blocks.3.0.op.weight": ["t-15-0"],
    "model.diffusion_model.input_blocks.3.0.op.bias": ["t-15-1"],
    "model.diffusion_model.input_blocks.4.0.in_layers.0.weight": ["t-16-0"],
    "model.diffusion_model.input_blocks.4.0.in_layers.0.bias": ["t-16-1"],
    "model.diffusion_model.input_blocks.4.0.in_layers.2.weight": ["t-18-0"],
    "model.diffusion_model.input_blocks.4.0.in_layers.2.bias": ["t-18-1"],
    "model.diffusion_model.input_blocks.4.0.emb_layers.1.weight": ["t-17-0"],
    "model.diffusion_model.input_blocks.4.0.emb_layers.1.bias": ["t-17-1"],
    "model.diffusion_model.input_blocks.4.0.out_layers.0.weight": ["t-19-0"],
    "model.diffusion_model.input_blocks.4.0.out_layers.0.bias": ["t-19-1"],
    "model.diffusion_model.input_blocks.4.0.out_layers.3.weight": ["t-20-0"],
    "model.diffusion_model.input_blocks.4.0.out_layers.3.bias": ["t-20-1"],
    "model.diffusion_model.input_blocks.4.0.skip_connection.weight": ["t-21-0"],
    "model.diffusion_model.input_blocks.4.0.skip_connection.bias": ["t-21-1"],
    "model.diffusion_model.input_blocks.4.1.norm.weight": ["t-22-0"],
    "model.diffusion_model.input_blocks.4.1.norm.bias": ["t-22-1"],
    "model.diffusion_model.input_blocks.4.1.proj_in.weight": ["t-23-0"],
    "model.diffusion_model.input_blocks.4.1.proj_in.bias": ["t-23-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k.weight": ["t-26-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q.weight": ["t-25-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v.weight": ["t-27-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight": ["t-28-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-28-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-34-0", "t-33-0",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-34-1", "t-33-1",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.weight": ["t-35-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.bias": ["t-35-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q.weight": ["t-30-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight": ["t-31-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-31-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1.weight": ["t-24-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1.bias": ["t-24-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.weight": ["t-29-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.bias": ["t-29-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.weight": ["t-32-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.bias": ["t-32-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_k.weight": ["t-38-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_q.weight": ["t-37-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_v.weight": ["t-39-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_out.0.weight": ["t-40-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_out.0.bias": ["t-40-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.0.proj.weight": [
      "t-46-0", "t-45-0",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.0.proj.bias": [
      "t-46-1", "t-45-1",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.2.weight": ["t-47-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.2.bias": ["t-47-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_q.weight": ["t-42-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_out.0.weight": ["t-43-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_out.0.bias": ["t-43-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm1.weight": ["t-36-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm1.bias": ["t-36-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm2.weight": ["t-41-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm2.bias": ["t-41-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm3.weight": ["t-44-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm3.bias": ["t-44-1"],
    "model.diffusion_model.input_blocks.4.1.proj_out.weight": ["t-48-0"],
    "model.diffusion_model.input_blocks.4.1.proj_out.bias": ["t-48-1"],
    "model.diffusion_model.input_blocks.5.0.in_layers.0.weight": ["t-49-0"],
    "model.diffusion_model.input_blocks.5.0.in_layers.0.bias": ["t-49-1"],
    "model.diffusion_model.input_blocks.5.0.in_layers.2.weight": ["t-51-0"],
    "model.diffusion_model.input_blocks.5.0.in_layers.2.bias": ["t-51-1"],
    "model.diffusion_model.input_blocks.5.0.emb_layers.1.weight": ["t-50-0"],
    "model.diffusion_model.input_blocks.5.0.emb_layers.1.bias": ["t-50-1"],
    "model.diffusion_model.input_blocks.5.0.out_layers.0.weight": ["t-52-0"],
    "model.diffusion_model.input_blocks.5.0.out_layers.0.bias": ["t-52-1"],
    "model.diffusion_model.input_blocks.5.0.out_layers.3.weight": ["t-53-0"],
    "model.diffusion_model.input_blocks.5.0.out_layers.3.bias": ["t-53-1"],
    "model.diffusion_model.input_blocks.5.1.norm.weight": ["t-54-0"],
    "model.diffusion_model.input_blocks.5.1.norm.bias": ["t-54-1"],
    "model.diffusion_model.input_blocks.5.1.proj_in.weight": ["t-55-0"],
    "model.diffusion_model.input_blocks.5.1.proj_in.bias": ["t-55-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_k.weight": ["t-58-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_q.weight": ["t-57-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_v.weight": ["t-59-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight": ["t-60-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-60-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-66-0", "t-65-0",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-66-1", "t-65-1",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.weight": ["t-67-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.bias": ["t-67-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_q.weight": ["t-62-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight": ["t-63-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-63-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1.weight": ["t-56-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1.bias": ["t-56-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2.weight": ["t-61-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2.bias": ["t-61-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.weight": ["t-64-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.bias": ["t-64-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_k.weight": ["t-70-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_q.weight": ["t-69-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_v.weight": ["t-71-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_out.0.weight": ["t-72-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_out.0.bias": ["t-72-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.0.proj.weight": [
      "t-78-0", "t-77-0",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.0.proj.bias": [
      "t-78-1", "t-77-1",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.2.weight": ["t-79-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.2.bias": ["t-79-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_q.weight": ["t-74-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_out.0.weight": ["t-75-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_out.0.bias": ["t-75-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm1.weight": ["t-68-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm1.bias": ["t-68-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm2.weight": ["t-73-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm2.bias": ["t-73-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm3.weight": ["t-76-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm3.bias": ["t-76-1"],
    "model.diffusion_model.input_blocks.5.1.proj_out.weight": ["t-80-0"],
    "model.diffusion_model.input_blocks.5.1.proj_out.bias": ["t-80-1"],
    "model.diffusion_model.input_blocks.6.0.op.weight": ["t-81-0"],
    "model.diffusion_model.input_blocks.6.0.op.bias": ["t-81-1"],
    "model.diffusion_model.input_blocks.7.0.in_layers.0.weight": ["t-82-0"],
    "model.diffusion_model.input_blocks.7.0.in_layers.0.bias": ["t-82-1"],
    "model.diffusion_model.input_blocks.7.0.in_layers.2.weight": ["t-84-0"],
    "model.diffusion_model.input_blocks.7.0.in_layers.2.bias": ["t-84-1"],
    "model.diffusion_model.input_blocks.7.0.emb_layers.1.weight": ["t-83-0"],
    "model.diffusion_model.input_blocks.7.0.emb_layers.1.bias": ["t-83-1"],
    "model.diffusion_model.input_blocks.7.0.out_layers.0.weight": ["t-85-0"],
    "model.diffusion_model.input_blocks.7.0.out_layers.0.bias": ["t-85-1"],
    "model.diffusion_model.input_blocks.7.0.out_layers.3.weight": ["t-86-0"],
    "model.diffusion_model.input_blocks.7.0.out_layers.3.bias": ["t-86-1"],
    "model.diffusion_model.input_blocks.7.0.skip_connection.weight": ["t-87-0"],
    "model.diffusion_model.input_blocks.7.0.skip_connection.bias": ["t-87-1"],
    "model.diffusion_model.input_blocks.7.1.norm.weight": ["t-88-0"],
    "model.diffusion_model.input_blocks.7.1.norm.bias": ["t-88-1"],
    "model.diffusion_model.input_blocks.7.1.proj_in.weight": ["t-89-0"],
    "model.diffusion_model.input_blocks.7.1.proj_in.bias": ["t-89-1"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_k.weight": ["t-92-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_q.weight": ["t-91-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_v.weight": ["t-93-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0.weight": ["t-94-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-94-1"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-100-0", "t-99-0",
    ],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-100-1", "t-99-1",
    ],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.2.weight": ["t-101-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.2.bias": ["t-101-1"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_q.weight": ["t-96-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0.weight": ["t-97-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-97-1"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm1.weight": ["t-90-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm1.bias": ["t-90-1"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2.weight": ["t-95-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2.bias": ["t-95-1"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.weight": ["t-98-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.bias": ["t-98-1"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.1.attn1.to_k.weight": ["t-104-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.1.attn1.to_q.weight": ["t-103-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.1.attn1.to_v.weight": ["t-105-0"],
    "model.diffusion_model.input_blocks.7.1.transformer_blocks.1.attn1.to_out.0.weight": [
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    "model.diffusion_model.output_blocks.7.0.emb_layers.1.bias": ["t-967-1"],
    "model.diffusion_model.output_blocks.7.0.out_layers.0.weight": ["t-969-0"],
    "model.diffusion_model.output_blocks.7.0.out_layers.0.bias": ["t-969-1"],
    "model.diffusion_model.output_blocks.7.0.out_layers.3.weight": ["t-970-0"],
    "model.diffusion_model.output_blocks.7.0.out_layers.3.bias": ["t-970-1"],
    "model.diffusion_model.output_blocks.7.0.skip_connection.weight": ["t-971-0"],
    "model.diffusion_model.output_blocks.7.0.skip_connection.bias": ["t-971-1"],
    "model.diffusion_model.output_blocks.8.0.in_layers.0.weight": ["t-972-0"],
    "model.diffusion_model.output_blocks.8.0.in_layers.0.bias": ["t-972-1"],
    "model.diffusion_model.output_blocks.8.0.in_layers.2.weight": ["t-974-0"],
    "model.diffusion_model.output_blocks.8.0.in_layers.2.bias": ["t-974-1"],
    "model.diffusion_model.output_blocks.8.0.emb_layers.1.weight": ["t-973-0"],
    "model.diffusion_model.output_blocks.8.0.emb_layers.1.bias": ["t-973-1"],
    "model.diffusion_model.output_blocks.8.0.out_layers.0.weight": ["t-975-0"],
    "model.diffusion_model.output_blocks.8.0.out_layers.0.bias": ["t-975-1"],
    "model.diffusion_model.output_blocks.8.0.out_layers.3.weight": ["t-976-0"],
    "model.diffusion_model.output_blocks.8.0.out_layers.3.bias": ["t-976-1"],
    "model.diffusion_model.output_blocks.8.0.skip_connection.weight": ["t-977-0"],
    "model.diffusion_model.output_blocks.8.0.skip_connection.bias": ["t-977-1"],
    "model.diffusion_model.out.0.weight": ["t-978-0"],
    "model.diffusion_model.out.0.bias": ["t-978-1"],
    "model.diffusion_model.out.2.weight": ["t-979-0"],
    "model.diffusion_model.out.2.bias": ["t-979-1"],
  ]
  public static let UNetXLRefiner: ModelWeightMapping = [
    "model.diffusion_model.time_embed.0.weight": ["t-2-0"],
    "model.diffusion_model.time_embed.0.bias": ["t-2-1"],
    "model.diffusion_model.time_embed.2.weight": ["t-3-0"],
    "model.diffusion_model.time_embed.2.bias": ["t-3-1"],
    "model.diffusion_model.label_emb.0.0.weight": ["t-0-0"],
    "model.diffusion_model.label_emb.0.0.bias": ["t-0-1"],
    "model.diffusion_model.label_emb.0.2.weight": ["t-1-0"],
    "model.diffusion_model.label_emb.0.2.bias": ["t-1-1"],
    "model.diffusion_model.input_blocks.0.0.weight": ["t-4-0"],
    "model.diffusion_model.input_blocks.0.0.bias": ["t-4-1"],
    "model.diffusion_model.input_blocks.1.0.in_layers.0.weight": ["t-5-0"],
    "model.diffusion_model.input_blocks.1.0.in_layers.0.bias": ["t-5-1"],
    "model.diffusion_model.input_blocks.1.0.in_layers.2.weight": ["t-7-0"],
    "model.diffusion_model.input_blocks.1.0.in_layers.2.bias": ["t-7-1"],
    "model.diffusion_model.input_blocks.1.0.emb_layers.1.weight": ["t-6-0"],
    "model.diffusion_model.input_blocks.1.0.emb_layers.1.bias": ["t-6-1"],
    "model.diffusion_model.input_blocks.1.0.out_layers.0.weight": ["t-8-0"],
    "model.diffusion_model.input_blocks.1.0.out_layers.0.bias": ["t-8-1"],
    "model.diffusion_model.input_blocks.1.0.out_layers.3.weight": ["t-9-0"],
    "model.diffusion_model.input_blocks.1.0.out_layers.3.bias": ["t-9-1"],
    "model.diffusion_model.input_blocks.2.0.in_layers.0.weight": ["t-10-0"],
    "model.diffusion_model.input_blocks.2.0.in_layers.0.bias": ["t-10-1"],
    "model.diffusion_model.input_blocks.2.0.in_layers.2.weight": ["t-12-0"],
    "model.diffusion_model.input_blocks.2.0.in_layers.2.bias": ["t-12-1"],
    "model.diffusion_model.input_blocks.2.0.emb_layers.1.weight": ["t-11-0"],
    "model.diffusion_model.input_blocks.2.0.emb_layers.1.bias": ["t-11-1"],
    "model.diffusion_model.input_blocks.2.0.out_layers.0.weight": ["t-13-0"],
    "model.diffusion_model.input_blocks.2.0.out_layers.0.bias": ["t-13-1"],
    "model.diffusion_model.input_blocks.2.0.out_layers.3.weight": ["t-14-0"],
    "model.diffusion_model.input_blocks.2.0.out_layers.3.bias": ["t-14-1"],
    "model.diffusion_model.input_blocks.3.0.op.weight": ["t-15-0"],
    "model.diffusion_model.input_blocks.3.0.op.bias": ["t-15-1"],
    "model.diffusion_model.input_blocks.4.0.in_layers.0.weight": ["t-16-0"],
    "model.diffusion_model.input_blocks.4.0.in_layers.0.bias": ["t-16-1"],
    "model.diffusion_model.input_blocks.4.0.in_layers.2.weight": ["t-18-0"],
    "model.diffusion_model.input_blocks.4.0.in_layers.2.bias": ["t-18-1"],
    "model.diffusion_model.input_blocks.4.0.emb_layers.1.weight": ["t-17-0"],
    "model.diffusion_model.input_blocks.4.0.emb_layers.1.bias": ["t-17-1"],
    "model.diffusion_model.input_blocks.4.0.out_layers.0.weight": ["t-19-0"],
    "model.diffusion_model.input_blocks.4.0.out_layers.0.bias": ["t-19-1"],
    "model.diffusion_model.input_blocks.4.0.out_layers.3.weight": ["t-20-0"],
    "model.diffusion_model.input_blocks.4.0.out_layers.3.bias": ["t-20-1"],
    "model.diffusion_model.input_blocks.4.0.skip_connection.weight": ["t-21-0"],
    "model.diffusion_model.input_blocks.4.0.skip_connection.bias": ["t-21-1"],
    "model.diffusion_model.input_blocks.4.1.norm.weight": ["t-22-0"],
    "model.diffusion_model.input_blocks.4.1.norm.bias": ["t-22-1"],
    "model.diffusion_model.input_blocks.4.1.proj_in.weight": ["t-23-0"],
    "model.diffusion_model.input_blocks.4.1.proj_in.bias": ["t-23-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k.weight": ["t-26-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q.weight": ["t-25-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v.weight": ["t-27-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight": ["t-28-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-28-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-34-0", "t-33-0",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-34-1", "t-33-1",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.weight": ["t-35-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.bias": ["t-35-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q.weight": ["t-30-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight": ["t-31-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-31-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1.weight": ["t-24-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1.bias": ["t-24-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.weight": ["t-29-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.bias": ["t-29-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.weight": ["t-32-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.bias": ["t-32-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_k.weight": ["t-38-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_q.weight": ["t-37-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_v.weight": ["t-39-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_out.0.weight": ["t-40-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_out.0.bias": ["t-40-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.0.proj.weight": [
      "t-46-0", "t-45-0",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.0.proj.bias": [
      "t-46-1", "t-45-1",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.2.weight": ["t-47-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.2.bias": ["t-47-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_q.weight": ["t-42-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_out.0.weight": ["t-43-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_out.0.bias": ["t-43-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm1.weight": ["t-36-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm1.bias": ["t-36-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm2.weight": ["t-41-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm2.bias": ["t-41-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm3.weight": ["t-44-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm3.bias": ["t-44-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn1.to_k.weight": ["t-50-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn1.to_q.weight": ["t-49-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn1.to_v.weight": ["t-51-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn1.to_out.0.weight": ["t-52-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn1.to_out.0.bias": ["t-52-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.ff.net.0.proj.weight": [
      "t-58-0", "t-57-0",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.ff.net.0.proj.bias": [
      "t-58-1", "t-57-1",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.ff.net.2.weight": ["t-59-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.ff.net.2.bias": ["t-59-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn2.to_q.weight": ["t-54-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn2.to_out.0.weight": ["t-55-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.attn2.to_out.0.bias": ["t-55-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.norm1.weight": ["t-48-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.norm1.bias": ["t-48-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.norm2.weight": ["t-53-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.norm2.bias": ["t-53-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.norm3.weight": ["t-56-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.2.norm3.bias": ["t-56-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn1.to_k.weight": ["t-62-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn1.to_q.weight": ["t-61-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn1.to_v.weight": ["t-63-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn1.to_out.0.weight": ["t-64-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn1.to_out.0.bias": ["t-64-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.ff.net.0.proj.weight": [
      "t-70-0", "t-69-0",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.ff.net.0.proj.bias": [
      "t-70-1", "t-69-1",
    ],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.ff.net.2.weight": ["t-71-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.ff.net.2.bias": ["t-71-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn2.to_q.weight": ["t-66-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn2.to_out.0.weight": ["t-67-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.attn2.to_out.0.bias": ["t-67-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.norm1.weight": ["t-60-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.norm1.bias": ["t-60-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.norm2.weight": ["t-65-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.norm2.bias": ["t-65-1"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.norm3.weight": ["t-68-0"],
    "model.diffusion_model.input_blocks.4.1.transformer_blocks.3.norm3.bias": ["t-68-1"],
    "model.diffusion_model.input_blocks.4.1.proj_out.weight": ["t-72-0"],
    "model.diffusion_model.input_blocks.4.1.proj_out.bias": ["t-72-1"],
    "model.diffusion_model.input_blocks.5.0.in_layers.0.weight": ["t-73-0"],
    "model.diffusion_model.input_blocks.5.0.in_layers.0.bias": ["t-73-1"],
    "model.diffusion_model.input_blocks.5.0.in_layers.2.weight": ["t-75-0"],
    "model.diffusion_model.input_blocks.5.0.in_layers.2.bias": ["t-75-1"],
    "model.diffusion_model.input_blocks.5.0.emb_layers.1.weight": ["t-74-0"],
    "model.diffusion_model.input_blocks.5.0.emb_layers.1.bias": ["t-74-1"],
    "model.diffusion_model.input_blocks.5.0.out_layers.0.weight": ["t-76-0"],
    "model.diffusion_model.input_blocks.5.0.out_layers.0.bias": ["t-76-1"],
    "model.diffusion_model.input_blocks.5.0.out_layers.3.weight": ["t-77-0"],
    "model.diffusion_model.input_blocks.5.0.out_layers.3.bias": ["t-77-1"],
    "model.diffusion_model.input_blocks.5.1.norm.weight": ["t-78-0"],
    "model.diffusion_model.input_blocks.5.1.norm.bias": ["t-78-1"],
    "model.diffusion_model.input_blocks.5.1.proj_in.weight": ["t-79-0"],
    "model.diffusion_model.input_blocks.5.1.proj_in.bias": ["t-79-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_k.weight": ["t-82-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_q.weight": ["t-81-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_v.weight": ["t-83-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight": ["t-84-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.bias": ["t-84-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight": [
      "t-90-0", "t-89-0",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.bias": [
      "t-90-1", "t-89-1",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.weight": ["t-91-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.bias": ["t-91-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_q.weight": ["t-86-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight": ["t-87-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.bias": ["t-87-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1.weight": ["t-80-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1.bias": ["t-80-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2.weight": ["t-85-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2.bias": ["t-85-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.weight": ["t-88-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.bias": ["t-88-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_k.weight": ["t-94-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_q.weight": ["t-93-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_v.weight": ["t-95-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_out.0.weight": ["t-96-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_out.0.bias": ["t-96-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.0.proj.weight": [
      "t-102-0", "t-101-0",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.0.proj.bias": [
      "t-102-1", "t-101-1",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.2.weight": ["t-103-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.2.bias": ["t-103-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_q.weight": ["t-98-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_out.0.weight": ["t-99-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_out.0.bias": ["t-99-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm1.weight": ["t-92-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm1.bias": ["t-92-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm2.weight": ["t-97-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm2.bias": ["t-97-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm3.weight": ["t-100-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm3.bias": ["t-100-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn1.to_k.weight": ["t-106-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn1.to_q.weight": ["t-105-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn1.to_v.weight": ["t-107-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn1.to_out.0.weight": [
      "t-108-0"
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn1.to_out.0.bias": ["t-108-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.ff.net.0.proj.weight": [
      "t-114-0", "t-113-0",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.ff.net.0.proj.bias": [
      "t-114-1", "t-113-1",
    ],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.ff.net.2.weight": ["t-115-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.ff.net.2.bias": ["t-115-1"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn2.to_q.weight": ["t-110-0"],
    "model.diffusion_model.input_blocks.5.1.transformer_blocks.2.attn2.to_out.0.weight": [
      "t-111-0"
    ],
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