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from modules.merging.merge_rebasin import PermutationSpec, permutation_spec_from_axes_to_perm

# Ref: https://github.com/vladmandic/automatic/blob/dev/modules/merging/merge_PermSpec_SDXL.py

# Tldr: Awful. So many layers are incorrect and missing!

from PermSpec_Base import PermutationSpec, permutation_spec_from_axes_to_perm

def sdxl_permutation_spec() -> PermutationSpec:

conv = lambda name, p_in, p_out: { # pylint: disable=unnecessary-lambda-assignment

f"{name}.weight": (

p_out,

p_in,

f"{name}.bias": (p_out,),

}

norm = lambda name, p: {f"{name}.weight": (p,), f"{name}.bias": (p,)} # pylint: disable=unnecessary-lambda-assignment

dense = (

lambda name, p_in, p_out, bias=True: { # pylint: disable=unnecessary-lambda-assignment

f"{name}.weight": (p_out, p_in),

f"{name}.bias": (p_out,),

}

if bias

else {f"{name}.weight": (p_out, p_in)}

)

# Layer name is somehow changed!

dense2 = (

lambda name, p_in, p_out, bias=True: { # pylint: disable=unnecessary-lambda-assignment

f"{name}_weight": (p_out, p_in),

f"{name}_bias": (p_out,),

}

if bias

else {f"{name}_weight": (p_out, p_in)}

)

skip = lambda name, p_in, p_out: { # pylint: disable=unnecessary-lambda-assignment

f"{name}": (

p_out,

p_in,

None,

)

}

# Unet Res blocks

easyblock = lambda name, p_in, p_out: { # pylint: disable=unnecessary-lambda-assignment

**norm(f"{name}.in_layers.0", p_in),

**conv(f"{name}.in_layers.2", p_in, f"P_{name}_inner"),

**dense(

f"{name}.emb_layers.1", f"P_{name}_inner2", f"P_{name}_inner3", bias=True

**norm(f"{name}.out_layers.0", f"P_{name}_inner4"),

**conv(f"{name}.out_layers.3", f"P_{name}_inner4", p_out),

}

# Text Encoder blocks

easyblock2 = lambda name, p: {

**norm(f"{name}.norm1", p),

**conv(f"{name}.conv1", p, f"P_{name}_inner"),

**norm(f"{name}.norm2", f"P_{name}_inner"),

**conv(f"{name}.conv2", f"P_{name}_inner", p),

}

# This is for blocks that use a residual connection, but change the number of channels via a Conv.

shortcutblock = lambda name, p_in, p_out: {

**norm(f"{name}.norm1", p_in),

**conv(f"{name}.conv1", p_in, f"P_{name}_inner"),

**norm(f"{name}.norm2", f"P_{name}_inner"),

**conv(f"{name}.conv2", f"P_{name}_inner", p_out),

**conv(f"{name}.nin_shortcut", p_in, p_out),

**norm(f"{name}.nin_shortcut", p_out),

}

return permutation_spec_from_axes_to_perm(

{

# Skipped Layers

**skip("betas", None, None),

**skip("alphas_cumprod", None, None),

**skip("alphas_cumprod_prev", None, None),

**skip("sqrt_alphas_cumprod", None, None),

**skip("sqrt_one_minus_alphas_cumprod", None, None),

**skip("log_one_minus_alphas_cumprods", None, None),

**skip("sqrt_recip_alphas_cumprod", None, None),

**skip("sqrt_recipm1_alphas_cumprod", None, None),

**skip("posterior_variance", None, None),

**skip("posterior_log_variance_clipped", None, None),

**skip("posterior_mean_coef1", None, None),

**skip("posterior_mean_coef2", None, None),

**skip("log_one_minus_alphas_cumprod", None, None),

**skip("model_ema.decay", None, None),

**skip("model_ema.num_updates", None, None),

**skip("conditioner.embedders.0.transformer.text_model.embeddings.position_ids", None, None),

**skip("conditioner.embedders.1.model.logit_scale", None, None),

**skip("conditioner.embedders.1.model.positional_embedding", None, None),

**skip("conditioner.embedders.1.model.text_projection", None, None),

**conv("model.diffusion_model.input_blocks.0.0", "P_bg0", "P_bg1"),

**easyblock("model.diffusion_model.input_blocks.1.0", "P_bg2", "P_bg3"),

**easyblock("model.diffusion_model.input_blocks.2.0", "P_bg4", "P_bg5"),

**conv("model.diffusion_model.input_blocks.3.0.op", "P_bg6", "P_bg7"),

**easyblock("model.diffusion_model.input_blocks.4.0", "P_bg8", "P_bg9"),

**conv("model.diffusion_model.input_blocks.4.0.skip_connection", "P_bg10", "P_bg11"),

**norm("model.diffusion_model.input_blocks.4.1.norm", "P_bg12"),

**conv("model.diffusion_model.input_blocks.4.1.proj_in", "P_bg12", "P_bg13"),

**conv("model.diffusion_model.input_blocks.4.1.proj_out", "P_bg14", "P_bg15"),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k", "P_bg16", "P_bg17", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0", "P_bg16", "P_bg17", bias=True),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q", "P_bg16", "P_bg17", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v", "P_bg16", "P_bg17", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k", "P_bg18", "P_bg19", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0", "P_bg20", "P_bg21", bias=True),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q", "P_bg20", "P_bg21", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v", "P_bg18", "P_bg19", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj", "P_bg22", "P_bg23", bias=True),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2", "P_bg24", "P_bg25", bias=True),

**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1", "P_bg26"),

**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2", "P_bg26"),

**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3", "P_bg26"),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_k", "P_bg27", "P_bg28", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_out.0", "P_bg27", "P_bg28", bias=True),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_q", "P_bg27", "P_bg28", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_v", "P_bg27", "P_bg28", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_k", "P_bg29", "P_bg30", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_out.0", "P_bg31", "P_bg32", bias=True),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_q", "P_bg31", "P_bg32", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_v", "P_bg33", "P_bg34", bias=False),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.0.proj", "P_bg35", "P_bg36", bias=True),

**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.2", "P_bg37", "P_bg38", bias=True),

**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm1", "P_bg39"),

**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm2", "P_bg39"),

**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm3", "P_bg39"),

**easyblock("model.diffusion_model.input_blocks.5.0", "P_bg40", "P_bg41"),

**norm("model.diffusion_model.input_blocks.5.1.norm", "P_bg42"),

**conv("model.diffusion_model.input_blocks.5.1.proj_in", "P_bg43", "P_bg44"),

**conv("model.diffusion_model.input_blocks.5.1.proj_out", "P_bg45", "P_bg46"),

**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_k", "P_bg47", "P_bg48", bias=False),

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from modules.merging.merge_rebasin import PermutationSpec, permutation_spec_from_axes_to_perm

def sdxl_permutation_spec() -> PermutationSpec:
    conv = lambda name, p_in, p_out: {  # pylint: disable=unnecessary-lambda-assignment
        f"{name}.weight": (
            p_out,
            p_in,
        ),
        f"{name}.bias": (p_out,),
    }
    norm = lambda name, p: {f"{name}.weight": (p,), f"{name}.bias": (p,)}  # pylint: disable=unnecessary-lambda-assignment
    dense = (
        lambda name, p_in, p_out, bias=True: {  # pylint: disable=unnecessary-lambda-assignment
            f"{name}.weight": (p_out, p_in),
            f"{name}.bias": (p_out,),
        }
        if bias
        else {f"{name}.weight": (p_out, p_in)}
    )
    skip = lambda name, p_in, p_out: {  # pylint: disable=unnecessary-lambda-assignment
        f"{name}": (
            p_out,
            p_in,
            None,
            None,
        )
    }

# Unet Res blocks
    easyblock = lambda name, p_in, p_out: {  # pylint: disable=unnecessary-lambda-assignment
        **norm(f"{name}.in_layers.0", p_in),
        **conv(f"{name}.in_layers.2", p_in, f"P_{name}_inner"),
        **dense(
            f"{name}.emb_layers.1", f"P_{name}_inner2", f"P_{name}_inner3", bias=True
        ),
        **norm(f"{name}.out_layers.0", f"P_{name}_inner4"),
        **conv(f"{name}.out_layers.3", f"P_{name}_inner4", p_out),
    }

return permutation_spec_from_axes_to_perm(
        {
            # Skipped Layers
            **skip("betas", None, None),
            **skip("alphas_cumprod", None, None),
            **skip("alphas_cumprod_prev", None, None),
            **skip("sqrt_alphas_cumprod", None, None),
            **skip("sqrt_one_minus_alphas_cumprod", None, None),
            **skip("log_one_minus_alphas_cumprods", None, None),
            **skip("sqrt_recip_alphas_cumprod", None, None),
            **skip("sqrt_recipm1_alphas_cumprod", None, None),
            **skip("posterior_variance", None, None),
            **skip("posterior_log_variance_clipped", None, None),
            **skip("posterior_mean_coef1", None, None),
            **skip("posterior_mean_coef2", None, None),
            **skip("log_one_minus_alphas_cumprod", None, None),
            **skip("model_ema.decay", None, None),
            **skip("model_ema.num_updates", None, None),
            **skip("conditioner.embedders.0.transformer.text_model.embeddings.position_ids", None, None),
            **skip("conditioner.embedders.1.model.logit_scale", None, None),
            **skip("conditioner.embedders.1.model.positional_embedding", None, None),
            **skip("conditioner.embedders.1.model.text_projection", None, None),
            **conv("model.diffusion_model.input_blocks.0.0", "P_bg0", "P_bg1"),
            **easyblock("model.diffusion_model.input_blocks.1.0", "P_bg2", "P_bg3"),
            **easyblock("model.diffusion_model.input_blocks.2.0", "P_bg4", "P_bg5"),
            **conv("model.diffusion_model.input_blocks.3.0.op", "P_bg6", "P_bg7"),
            **easyblock("model.diffusion_model.input_blocks.4.0", "P_bg8", "P_bg9"),
            **conv("model.diffusion_model.input_blocks.4.0.skip_connection", "P_bg10", "P_bg11"),
            **norm("model.diffusion_model.input_blocks.4.1.norm", "P_bg12"),
            **conv("model.diffusion_model.input_blocks.4.1.proj_in", "P_bg12", "P_bg13"),
            **conv("model.diffusion_model.input_blocks.4.1.proj_out", "P_bg14", "P_bg15"),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k", "P_bg16", "P_bg17", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0", "P_bg16", "P_bg17", bias=True),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q", "P_bg16", "P_bg17", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v", "P_bg16", "P_bg17", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k", "P_bg18", "P_bg19", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0", "P_bg20", "P_bg21", bias=True),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q", "P_bg20", "P_bg21", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v", "P_bg18", "P_bg19", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj", "P_bg22", "P_bg23", bias=True),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2", "P_bg24", "P_bg25", bias=True),
            **norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1", "P_bg26"),
            **norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2", "P_bg26"),
            **norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3", "P_bg26"),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_k", "P_bg27", "P_bg28", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_out.0", "P_bg27", "P_bg28", bias=True),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_q", "P_bg27", "P_bg28", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn1.to_v", "P_bg27", "P_bg28", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_k", "P_bg29", "P_bg30", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_out.0", "P_bg31", "P_bg32", bias=True),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_q", "P_bg31", "P_bg32", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.attn2.to_v", "P_bg33", "P_bg34", bias=False),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.0.proj", "P_bg35", "P_bg36", bias=True),
            **dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.ff.net.2", "P_bg37", "P_bg38", bias=True),
            **norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm1", "P_bg39"),
            **norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm2", "P_bg39"),
            **norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.1.norm3", "P_bg39"),
            **easyblock("model.diffusion_model.input_blocks.5.0", "P_bg40", "P_bg41"),
            **norm("model.diffusion_model.input_blocks.5.1.norm", "P_bg42"),
            **conv("model.diffusion_model.input_blocks.5.1.proj_in", "P_bg43", "P_bg44"),
            **conv("model.diffusion_model.input_blocks.5.1.proj_out", "P_bg45", "P_bg46"),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_k", "P_bg47", "P_bg48", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0", "P_bg47", "P_bg48", bias=True),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_q", "P_bg47", "P_bg48", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_v", "P_bg47", "P_bg48", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k", "P_bg49", "P_bg50", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0", "P_bg51", "P_bg52", bias=True),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_q", "P_bg53", "P_bg54", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v", "P_bg55", "P_bg56", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj", "P_bg57", "P_bg58", bias=True),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2", "P_bg59", "P_bg60", bias=True),
            **norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1", "P_bg61"),
            **norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2", "P_bg61"),
            **norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3", "P_bg61"),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_k", "P_bg62", "P_bg63", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_out.0", "P_bg62", "P_bg63", bias=True),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_q", "P_bg62", "P_bg63", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn1.to_v", "P_bg62", "P_bg63", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_k", "P_bg64", "P_bg65", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_out.0", "P_bg66", "P_bg67", bias=True),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_q", "P_bg68", "P_bg69", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.attn2.to_v", "P_bg70", "P_bg71", bias=False),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.0.proj", "P_bg72", "P_bg73", bias=True),
            **dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.ff.net.2", "P_bg74", "P_bg75", bias=True),
            **norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm1", "P_bg76"),
            **norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm2", "P_bg76"),
            **norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.1.norm3", "P_bg76"),
            **conv("model.diffusion_model.input_blocks.6.0.op", "P_bg77", "P_bg78"),
            **easyblock("model.diffusion_model.input_blocks.7.0", "P_bg78", "P_bg79"),
            **conv("model.diffusion_model.input_blocks.7.0.skip_connection", "P_bg80", "P_bg81"),
            **norm("model.diffusion_model.input_blocks.7.1.norm", "P_bg82"),
            **conv("model.diffusion_model.input_blocks.7.1.proj_in", "P_bg82", "P_bg83"),
            **conv("model.diffusion_model.input_blocks.7.1.proj_out", "P_bg84", "P_bg85"),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_k", "P_bg86", "P_bg87", bias=False),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0", "P_bg86", "P_bg87", bias=True),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_q", "P_bg86", "P_bg87", bias=False),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_v", "P_bg86", "P_bg87", bias=False),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k", "P_bg88", "P_bg89", bias=False),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0", "P_bg90", "P_bg91", bias=True),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_q", "P_bg92", "P_bg93", bias=False),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v", "P_bg94", "P_bg95", bias=False),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj", "P_bg96", "P_bg97", bias=True),
            **dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.2", "P_bg98", "P_bg99", bias=True),
            **norm("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm1", "P_bg100"),
            **norm("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2", "P_bg100"),
            **norm("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3", "P_bg100"),
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            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0", "P_bg1088", "P_bg1089", bias=True),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_q", "P_bg1090", "P_bg1091", bias=False),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v", "P_bg1092", "P_bg1093", bias=False),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj", "P_bg1094", "P_bg1095", bias=True),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2", "P_bg1096", "P_bg1097", bias=True),
            **norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm1", "P_bg1098"),
            **norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm2", "P_bg1098"),
            **norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3", "P_bg1098"),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn1.to_k", "P_bg1099", "P_bg1100", bias=False),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn1.to_out.0", "P_bg1099", "P_bg1100", bias=True),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn1.to_q", "P_bg1099", "P_bg1100", bias=False),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn1.to_v", "P_bg1099", "P_bg1100", bias=False),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_k", "P_bg1101", "P_bg1102", bias=False),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_out.0", "P_bg1103", "P_bg1104", bias=True),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_q", "P_bg1105", "P_bg1106", bias=False),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_v", "P_bg1107", "P_bg1108", bias=False),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.ff.net.0.proj", "P_bg1109", "P_bg1110", bias=True),
            **dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.ff.net.2", "P_bg1111", "P_bg1112", bias=True),
            **norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.norm1", "P_bg1113"),
            **norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.norm2", "P_bg1113"),
            **norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.1.norm3", "P_bg1113"),
            **easyblock("model.diffusion_model.output_blocks.5.0", "P_bg1114", "P_bg1115"),
            **conv("model.diffusion_model.output_blocks.5.0.skip_connection", "P_bg1116", "P_bg1117"),
            **norm("model.diffusion_model.output_blocks.5.1.norm", "P_bg1118"),
            **conv("model.diffusion_model.output_blocks.5.1.proj_in", "P_bg1118", "P_bg1119"),
            **conv("model.diffusion_model.output_blocks.5.1.proj_out", "P_bg1120", "P_bg1121"),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k", "P_bg1122", "P_bg1123", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0", "P_bg1122", "P_bg1123", bias=True),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q", "P_bg1122", "P_bg1123", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v", "P_bg1122", "P_bg1123", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k", "P_bg1124", "P_bg1125", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0", "P_bg1126", "P_bg1127", bias=True),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_q", "P_bg1128", "P_bg1129", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v", "P_bg1130", "P_bg1131", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj", "P_bg1132", "P_bg1133", bias=True),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2", "P_bg1134", "P_bg1135", bias=True),
            **norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm1", "P_bg1136"),
            **norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm2", "P_bg1136"),
            **norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm3", "P_bg1136"),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn1.to_k", "P_bg1137", "P_bg1138", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn1.to_out.0", "P_bg1137", "P_bg1138", bias=True),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn1.to_q", "P_bg1137", "P_bg1138", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn1.to_v", "P_bg1137", "P_bg1138", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_k", "P_bg1139", "P_bg1140", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_out.0", "P_bg1141", "P_bg1142", bias=True),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_q", "P_bg1143", "P_bg1144", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_v", "P_bg1145", "P_bg1146", bias=False),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.ff.net.0.proj", "P_bg1147", "P_bg1148", bias=True),
            **dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.ff.net.2", "P_bg1149", "P_bg1150", bias=True),
            **norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.norm1", "P_bg1151"),
            **norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.norm2", "P_bg1151"),
            **norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.1.norm3", "P_bg1151"),
            **conv("model.diffusion_model.output_blocks.5.2.conv", "P_bg1152", "P_bg1153"),
            **easyblock("model.diffusion_model.output_blocks.6.0", "P_bg1154", "P_bg1155"),
            **conv("model.diffusion_model.output_blocks.6.0.skip_connection", "P_bg1156", "P_bg1157"),
            **easyblock("model.diffusion_model.output_blocks.7.0", "P_bg1158", "P_bg1159"),
            **conv("model.diffusion_model.output_blocks.7.0.skip_connection", "P_bg1160", "P_bg1161"),
            **easyblock("model.diffusion_model.output_blocks.8.0", "P_bg1162", "P_bg1163"),
            **conv("model.diffusion_model.output_blocks.8.0.skip_connection", "P_bg1164", "P_bg1165"),
            **dense("model.diffusion_model.time_embed.0", "P_bg1166", "P_bg1167", bias=True),
            **dense("model.diffusion_model.time_embed.2", "P_bg1168", "P_bg1169", bias=True),
            # Text Encoder 1
            **dense("conditioner.embedders.0.transformer.text_model.embeddings.position_embedding", "P_bg1170", "P_bg1171", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.embeddings.token_embedding", "P_bg1172", "P_bg1173", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.mlp.fc1", "P_bg1176", "P_bg1177", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.mlp.fc2", "P_bg1178", "P_bg1179", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.k_proj", "P_bg1180", "P_bg1181", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.out_proj", "P_bg1180", "P_bg1181", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.q_proj", "P_bg1180", "P_bg1181", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.v_proj", "P_bg1180", "P_bg1181", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.mlp.fc1", "P_bg1184", "P_bg1185", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.mlp.fc2", "P_bg1186", "P_bg1187", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.k_proj", "P_bg1188", "P_bg1189", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.out_proj", "P_bg1188", "P_bg1189", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.q_proj", "P_bg1188", "P_bg1189", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.v_proj", "P_bg1188", "P_bg1189", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.mlp.fc1", "P_bg1192", "P_bg1193", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.mlp.fc2", "P_bg1194", "P_bg1195", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.k_proj", "P_bg1196", "P_bg1197", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.out_proj", "P_bg1196", "P_bg1197", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.q_proj", "P_bg1196", "P_bg1197", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.v_proj", "P_bg1196", "P_bg1197", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc1", "P_bg1200", "P_bg1201", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc2", "P_bg1202", "P_bg1203", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.k_proj", "P_bg1204", "P_bg1205", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.out_proj", "P_bg1204", "P_bg1205", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.q_proj", "P_bg1204", "P_bg1205", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.v_proj", "P_bg1204", "P_bg1205", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc1", "P_bg1208", "P_bg1209", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc2", "P_bg1210", "P_bg1211", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.k_proj", "P_bg1212", "P_bg1213", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.out_proj", "P_bg1212", "P_bg1213", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.q_proj", "P_bg1212", "P_bg1213", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.v_proj", "P_bg1212", "P_bg1213", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.mlp.fc1", "P_bg1216", "P_bg1217", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.mlp.fc2", "P_bg1218", "P_bg1219", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.k_proj", "P_bg1220", "P_bg1221", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.out_proj", "P_bg1220", "P_bg1221", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.q_proj", "P_bg1220", "P_bg1221", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.v_proj", "P_bg1220", "P_bg1221", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.mlp.fc1", "P_bg1224", "P_bg1225", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.mlp.fc2", "P_bg1226", "P_bg1227", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.self_attn.k_proj", "P_bg1228", "P_bg1229", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.self_attn.out_proj", "P_bg1228", "P_bg1229", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.self_attn.q_proj", "P_bg1228", "P_bg1229", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.self_attn.v_proj", "P_bg1228", "P_bg1229", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.mlp.fc1", "P_bg1232", "P_bg1233", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.mlp.fc2", "P_bg1234", "P_bg1235", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.self_attn.k_proj", "P_bg1236", "P_bg1237", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.self_attn.out_proj", "P_bg1236", "P_bg1237", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.self_attn.q_proj", "P_bg1236", "P_bg1237", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.self_attn.v_proj", "P_bg1236", "P_bg1237", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.mlp.fc1", "P_bg1240", "P_bg1241", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.mlp.fc2", "P_bg1242", "P_bg1243", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.self_attn.k_proj", "P_bg1244", "P_bg1245", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.self_attn.out_proj", "P_bg1244", "P_bg1245", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.self_attn.q_proj", "P_bg1244", "P_bg1245", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.self_attn.v_proj", "P_bg1244", "P_bg1245", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.mlp.fc1", "P_bg1248", "P_bg1249", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.mlp.fc2", "P_bg1250", "P_bg1251", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.self_attn.k_proj", "P_bg1252", "P_bg1253", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.self_attn.out_proj", "P_bg1252", "P_bg1253", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.self_attn.q_proj", "P_bg1252", "P_bg1253", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.self_attn.v_proj", "P_bg1252", "P_bg1253", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.mlp.fc1", "P_bg1256", "P_bg1257", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.mlp.fc2", "P_bg1258", "P_bg1259", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.self_attn.k_proj", "P_bg1260", "P_bg1261", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.self_attn.out_proj", "P_bg1260", "P_bg1261", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.self_attn.q_proj", "P_bg1260", "P_bg1261", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.self_attn.v_proj", "P_bg1260", "P_bg1261", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.mlp.fc1", "P_bg1264", "P_bg1265", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.mlp.fc2", "P_bg1266", "P_bg1267", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.self_attn.k_proj", "P_bg1268", "P_bg1269", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.self_attn.out_proj", "P_bg1268", "P_bg1269", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.self_attn.q_proj", "P_bg1268", "P_bg1269", bias=False),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.self_attn.v_proj", "P_bg1268", "P_bg1269", bias=False),
            # Text Encoder 2
            **dense("conditioner.embedders.1.model.token_embedding", "P_bg1272", "P_bg1273", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.0.attn.in_proj_weight", "P_bg1274", "P_bg1275", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.0.attn.out_proj", "P_bg1274", "P_bg1275", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.0.mlp.c_fc", "P_bg1278", "P_bg1279", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.0.mlp.c_proj", "P_bg1280", "P_bg1281", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.1.attn.in_proj_weight", "P_bg1280", "P_bg1281", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.1.attn.out_proj", "P_bg1280", "P_bg1281", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.1.mlp.c_fc", "P_bg1284", "P_bg1285", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.1.mlp.c_proj", "P_bg1286", "P_bg1287", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.10.attn.in_proj_weight", "P_bg1286", "P_bg1287", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.10.attn.out_proj", "P_bg1286", "P_bg1287", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.10.mlp.c_fc", "P_bg1290", "P_bg1291", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.10.mlp.c_proj", "P_bg1292", "P_bg1293", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.11.attn.in_proj_weight", "P_bg1292", "P_bg1293", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.11.attn.out_proj", "P_bg1292", "P_bg1293", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.11.mlp.c_fc", "P_bg1296", "P_bg1297", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.11.mlp.c_proj", "P_bg1298", "P_bg1299", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.12.attn.in_proj_weight", "P_bg1298", "P_bg1299", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.12.attn.out_proj", "P_bg1298", "P_bg1299", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.12.mlp.c_fc", "P_bg1302", "P_bg1303", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.12.mlp.c_proj", "P_bg1304", "P_bg1305", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.13.attn.in_proj_weight", "P_bg1304", "P_bg1305", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.13.attn.out_proj", "P_bg1304", "P_bg1305", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.13.mlp.c_fc", "P_bg1308", "P_bg1309", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.13.mlp.c_proj", "P_bg1310", "P_bg1311", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.14.attn.in_proj_weight", "P_bg1310", "P_bg1311", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.14.attn.out_proj", "P_bg1310", "P_bg1311", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.14.mlp.c_fc", "P_bg1314", "P_bg1315", bias=False),
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            **dense("conditioner.embedders.1.model.transformer.resblocks.20.attn.out_proj", "P_bg1352", "P_bg1353", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.20.mlp.c_fc", "P_bg1356", "P_bg1357", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.20.mlp.c_proj", "P_bg1358", "P_bg1359", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.21.attn.in_proj_weight", "P_bg1358", "P_bg1359", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.21.attn.out_proj", "P_bg1358", "P_bg1359", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.21.mlp.c_fc", "P_bg1362", "P_bg1363", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.21.mlp.c_proj", "P_bg1364", "P_bg1365", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.22.attn.in_proj_weight", "P_bg1364", "P_bg1365", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.22.attn.out_proj", "P_bg1364", "P_bg1365", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.22.mlp.c_fc", "P_bg1368", "P_bg1369", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.22.mlp.c_proj", "P_bg1370", "P_bg1371", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.23.attn.in_proj_weight", "P_bg1370", "P_bg1371", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.23.attn.out_proj", "P_bg1370", "P_bg1371", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.23.mlp.c_fc", "P_bg1374", "P_bg1375", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.23.mlp.c_proj", "P_bg1376", "P_bg1377", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.24.attn.in_proj_weight", "P_bg1376", "P_bg1377", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.24.attn.out_proj", "P_bg1376", "P_bg1377", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.24.mlp.c_fc", "P_bg1380", "P_bg1381", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.24.mlp.c_proj", "P_bg1382", "P_bg1383", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.25.attn.in_proj_weight", "P_bg1382", "P_bg1383", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.25.attn.out_proj", "P_bg1382", "P_bg1383", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.25.mlp.c_fc", "P_bg1386", "P_bg1387", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.25.mlp.c_proj", "P_bg1388", "P_bg1389", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.26.attn.in_proj_weight", "P_bg1388", "P_bg1389", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.26.attn.out_proj", "P_bg1388", "P_bg1389", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.26.mlp.c_fc", "P_bg1392", "P_bg1393", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.26.mlp.c_proj", "P_bg1394", "P_bg1395", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.27.attn.in_proj_weight", "P_bg1394", "P_bg1395", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.27.attn.out_proj", "P_bg1394", "P_bg1395", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.27.mlp.c_fc", "P_bg1398", "P_bg1399", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.27.mlp.c_proj", "P_bg1400", "P_bg1401", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.28.attn.in_proj_weight", "P_bg1400", "P_bg1401", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.28.attn.out_proj", "P_bg1400", "P_bg1401", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.28.mlp.c_fc", "P_bg1404", "P_bg1405", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.28.mlp.c_proj", "P_bg1406", "P_bg1407", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.29.attn.in_proj_weight", "P_bg1406", "P_bg1407", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.29.attn.out_proj", "P_bg1406", "P_bg1407", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.29.mlp.c_fc", "P_bg1410", "P_bg1411", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.29.mlp.c_proj", "P_bg1412", "P_bg1413", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.3.attn.in_proj_weight", "P_bg1412", "P_bg1413", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.3.attn.out_proj", "P_bg1412", "P_bg1413", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.3.mlp.c_fc", "P_bg1416", "P_bg1417", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.3.mlp.c_proj", "P_bg1418", "P_bg1419", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.30.attn.in_proj_weight", "P_bg1418", "P_bg1419", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.30.attn.out_proj", "P_bg1418", "P_bg1419", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.30.mlp.c_fc", "P_bg1422", "P_bg1423", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.30.mlp.c_proj", "P_bg1424", "P_bg1425", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.31.attn.in_proj_weight", "P_bg1424", "P_bg1425", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.31.attn.out_proj", "P_bg1424", "P_bg1425", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.31.mlp.c_fc", "P_bg1428", "P_bg1429", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.31.mlp.c_proj", "P_bg1430", "P_bg1431", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.4.attn.in_proj_weight", "P_bg1430", "P_bg1431", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.4.attn.out_proj", "P_bg1430", "P_bg1431", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.4.mlp.c_fc", "P_bg1434", "P_bg1435", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.4.mlp.c_proj", "P_bg1436", "P_bg1437", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.5.attn.in_proj_weight", "P_bg1436", "P_bg1437", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.5.attn.out_proj", "P_bg1436", "P_bg1437", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.5.mlp.c_fc", "P_bg1440", "P_bg1441", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.5.mlp.c_proj", "P_bg1442", "P_bg1443", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.6.attn.in_proj_weight", "P_bg1442", "P_bg1443", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.6.attn.out_proj", "P_bg1442", "P_bg1443", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.6.mlp.c_fc", "P_bg1446", "P_bg1447", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.6.mlp.c_proj", "P_bg1448", "P_bg1449", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.7.attn.in_proj_weight", "P_bg1448", "P_bg1449", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.7.attn.out_proj", "P_bg1448", "P_bg1449", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.7.mlp.c_fc", "P_bg1452", "P_bg1453", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.7.mlp.c_proj", "P_bg1454", "P_bg1455", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.8.attn.in_proj_weight", "P_bg1454", "P_bg1455", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.8.attn.out_proj", "P_bg1454", "P_bg1455", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.8.mlp.c_fc", "P_bg1458", "P_bg1459", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.8.mlp.c_proj", "P_bg1460", "P_bg1461", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.9.attn.in_proj_weight", "P_bg1460", "P_bg1461", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.9.attn.out_proj", "P_bg1460", "P_bg1461", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.9.mlp.c_fc", "P_bg1464", "P_bg1465", bias=False),
            **dense("conditioner.embedders.1.model.transformer.resblocks.9.mlp.c_proj", "P_bg1466", "P_bg1467", bias=False),

}
    )

Texte modifié

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# Ref: https://github.com/vladmandic/automatic/blob/dev/modules/merging/merge_PermSpec_SDXL.py
# Tldr: Awful. So many layers are incorrect and missing!

from PermSpec_Base import PermutationSpec, permutation_spec_from_axes_to_perm

def sdxl_permutation_spec() -> PermutationSpec:
    conv = lambda name, p_in, p_out: {  # pylint: disable=unnecessary-lambda-assignment
        f"{name}.weight": (
            p_out,
            p_in,
        ),
        f"{name}.bias": (p_out,),
    }
    norm = lambda name, p: {f"{name}.weight": (p,), f"{name}.bias": (p,)}  # pylint: disable=unnecessary-lambda-assignment
    dense = (
        lambda name, p_in, p_out, bias=True: {  # pylint: disable=unnecessary-lambda-assignment
            f"{name}.weight": (p_out, p_in),
            f"{name}.bias": (p_out,),
        }
        if bias
        else {f"{name}.weight": (p_out, p_in)}
    )
    # Layer name is somehow changed!
    dense2 = (
        lambda name, p_in, p_out, bias=True: {  # pylint: disable=unnecessary-lambda-assignment
            f"{name}_weight": (p_out, p_in),
            f"{name}_bias": (p_out,),
        }
        if bias
        else {f"{name}_weight": (p_out, p_in)}
    )
    skip = lambda name, p_in, p_out: {  # pylint: disable=unnecessary-lambda-assignment
        f"{name}": (
            p_out,
            p_in,
            None,
            None,
        )
    }

# Text Encoder blocks
    easyblock2 = lambda name, p: {
        **norm(f"{name}.norm1", p),
        **conv(f"{name}.conv1", p, f"P_{name}_inner"),
        **norm(f"{name}.norm2", f"P_{name}_inner"),
        **conv(f"{name}.conv2", f"P_{name}_inner", p),
    }

# This is for blocks that use a residual connection, but change the number of channels via a Conv.
    shortcutblock = lambda name, p_in, p_out: {
        **norm(f"{name}.norm1", p_in),
        **conv(f"{name}.conv1", p_in, f"P_{name}_inner"),
        **norm(f"{name}.norm2", f"P_{name}_inner"),
        **conv(f"{name}.conv2", f"P_{name}_inner", p_out),
        **conv(f"{name}.nin_shortcut", p_in, p_out),
        **norm(f"{name}.nin_shortcut", p_out),
    }

#VAE              
            #encoder down
            **conv("first_stage_model.encoder.conv_in", "P_bg2327", "P_bg2328"),  
            **easyblock2("first_stage_model.encoder.down.0.block.0", "P_bg2328"),
            **easyblock2("first_stage_model.encoder.down.0.block.1", "P_bg2328"),
            **conv("first_stage_model.encoder.down.0.downsample.conv", "P_bg2328", "P_bg2329"),
            
            **shortcutblock("first_stage_model.encoder.down.1.block.0", "P_bg2330","P_bg2331"),
            **easyblock2("first_stage_model.encoder.down.1.block.1", "P_bg2331"),
            **conv("first_stage_model.encoder.down.1.downsample.conv", "P_bg2331", "P_bg2332"),
            
            **shortcutblock("first_stage_model.encoder.down.2.block.0", "P_bg2332", "P_bg2333"),
            **easyblock2("first_stage_model.encoder.down.2.block.1", "P_bg2333"),
            **conv("first_stage_model.encoder.down.2.downsample.conv", "P_bg2333", "P_bg2334"),

**easyblock2("first_stage_model.encoder.down.3.block.0", "P_bg2334"),
            **easyblock2("first_stage_model.encoder.down.3.block.1", "P_bg2334"),

#encoder mid-block
            **easyblock2("first_stage_model.encoder.mid.block_1", "P_bg2334"),

**norm("first_stage_model.encoder.mid.attn_1.norm", "P_bg2334"),
            **conv("first_stage_model.encoder.mid.attn_1.q", "P_bg2334", "P_bg2335"),
            **conv("first_stage_model.encoder.mid.attn_1.k", "P_bg2334", "P_bg2335"),
            **conv("first_stage_model.encoder.mid.attn_1.v", "P_bg2334", "P_bg2335"),
            **conv("first_stage_model.encoder.mid.attn_1.proj_out", "P_bg2335", "P_bg2336"),

**easyblock2("first_stage_model.encoder.mid.block_2", "P_bg2336"),

**norm("first_stage_model.encoder.norm_out", "P_bg2337"),
            **conv("first_stage_model.encoder.conv_out", "P_bg2338", "P_bg2339"),

**conv("first_stage_model.decoder.conv_in", "P_bg2340", "P_bg2341"),
            
            #decoder mid-block
            **easyblock2("first_stage_model.decoder.mid.block_1", "P_bg2342"),
            **norm("first_stage_model.decoder.mid.attn_1.norm", "P_bg2342"),
            **conv("first_stage_model.decoder.mid.attn_1.q", "P_bg2342", "P_bg2343"),
            **conv("first_stage_model.decoder.mid.attn_1.k", "P_bg2342", "P_bg2343"),
            **conv("first_stage_model.decoder.mid.attn_1.v", "P_bg2342", "P_bg2343"),
            **conv("first_stage_model.decoder.mid.attn_1.proj_out", "P_bg2343", "P_bg2344"),

**easyblock2("first_stage_model.decoder.mid.block_2", "P_bg2345"),
            
            #decoder up
            **shortcutblock("first_stage_model.decoder.up.0.block.0", "P_bg2346","P_bg2347"),
            **easyblock2("first_stage_model.decoder.up.0.block.1", "P_bg2348"),
            **easyblock2("first_stage_model.decoder.up.0.block.2", "P_bg2349"),

**shortcutblock("first_stage_model.decoder.up.1.block.0", "P_bg2350","P_bg2351"),    
            **easyblock2("first_stage_model.decoder.up.1.block.1", "P_bg2352"),
            **easyblock2("first_stage_model.decoder.up.1.block.2", "P_bg2353"),
            **conv("first_stage_model.decoder.up.1.upsample.conv", "P_bg2353", "P_bg2354"),

**easyblock2("first_stage_model.decoder.up.2.block.0", "P_bg2355"),
            **easyblock2("first_stage_model.decoder.up.2.block.1", "P_bg2355"),
            **easyblock2("first_stage_model.decoder.up.2.block.2", "P_bg2355"),
            **conv("first_stage_model.decoder.up.2.upsample.conv", "P_bg2355", "P_bg2356"),

**easyblock2("first_stage_model.decoder.up.3.block.0", "P_bg2356"),
            **easyblock2("first_stage_model.decoder.up.3.block.1", "P_bg2356"),
            **easyblock2("first_stage_model.decoder.up.3.block.2", "P_bg2356"),
            **conv("first_stage_model.decoder.up.3.upsample.conv", "P_bg2356", "P_bg2357"),

**norm("first_stage_model.decoder.norm_out", "P_bg2358"),
            **conv("first_stage_model.decoder.conv_out", "P_bg2359", "P_bg2360"),
            **conv("first_stage_model.quant_conv", "P_bg2361", "P_bg2362"),
            **conv("first_stage_model.post_quant_conv", "P_bg2363", "P_bg2364"),

# Text Encoder 1
            # 1:1 to SD1.5
            **skip("conditioner.embedders.0.transformer.text_model.embeddings.position_ids", None, None),
            **dense("conditioner.embedders.0.transformer.text_model.embeddings.token_embedding", None, None),
            **dense("conditioner.embedders.0.transformer.text_model.embeddings.position_embedding", "P_bg1170", "P_bg1171", bias=False),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.k_proj", "P_bg1180", "P_bg1181", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.out_proj", "P_bg1180", "P_bg1181", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.q_proj", "P_bg1180", "P_bg1181", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.v_proj", "P_bg1180", "P_bg1181", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.0.layer_norm1", "P_bg1181"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.mlp.fc1", "P_bg1181", "P_bg1177", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.0.mlp.fc2", "P_bg1177", "P_bg1179", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.0.layer_norm2", "P_bg1179"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.k_proj", "P_bg1179", "P_bg1189", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.out_proj", "P_bg1179", "P_bg1189", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.q_proj", "P_bg1179", "P_bg1189", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.v_proj", "P_bg1179", "P_bg1189", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.1.layer_norm1", "P_bg1189"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.mlp.fc1", "P_bg1189", "P_bg1185", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.1.mlp.fc2", "P_bg1185", "P_bg1187", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.1.layer_norm2", "P_bg1187"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.k_proj", "P_bg1187", "P_bg1213", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.out_proj", "P_bg1187", "P_bg1213", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.q_proj", "P_bg1187", "P_bg1213", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.v_proj", "P_bg1187", "P_bg1213", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.2.layer_norm1", "P_bg1213"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc1", "P_bg1213", "P_bg1209", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc2", "P_bg1209", "P_bg1211", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.2.layer_norm2", "P_bg1211"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.k_proj", "P_bg1211", "P_bg1221", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.out_proj", "P_bg1211", "P_bg1221", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.q_proj", "P_bg1211", "P_bg1221", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.self_attn.v_proj", "P_bg1211", "P_bg1221", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.3.layer_norm1", "P_bg1211"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.mlp.fc1", "P_bg1221", "P_bg1217", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.3.mlp.fc2", "P_bg1217", "P_bg1219", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.3.layer_norm2", "P_bg1219"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.self_attn.k_proj", "P_bg1219", "P_bg1229", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.self_attn.out_proj", "P_bg1219", "P_bg1229", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.self_attn.q_proj", "P_bg1219", "P_bg1229", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.self_attn.v_proj", "P_bg1219", "P_bg1229", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.4.layer_norm1", "P_bg1229"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.mlp.fc1", "P_bg1229", "P_bg1225", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.4.mlp.fc2", "P_bg1225", "P_bg1227", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.4.layer_norm2", "P_bg1227"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.self_attn.k_proj", "P_bg1227", "P_bg1237", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.self_attn.out_proj", "P_bg1227", "P_bg1237", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.self_attn.q_proj", "P_bg1227", "P_bg1237", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.self_attn.v_proj", "P_bg1227", "P_bg1237", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.5.layer_norm1", "P_bg1237"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.mlp.fc1", "P_bg1237", "P_bg1233", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.5.mlp.fc2", "P_bg1233", "P_bg1235", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.5.layer_norm2", "P_bg1235"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.self_attn.k_proj", "P_bg1235", "P_bg1245", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.self_attn.out_proj", "P_bg1235", "P_bg1245", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.self_attn.q_proj", "P_bg1235", "P_bg1245", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.self_attn.v_proj", "P_bg1235", "P_bg1245", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.6.layer_norm1", "P_bg1245"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.mlp.fc1", "P_bg1245", "P_bg1241", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.6.mlp.fc2", "P_bg1241", "P_bg1243", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.6.layer_norm2", "P_bg1243"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.self_attn.k_proj", "P_bg1243", "P_bg1253", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.self_attn.out_proj", "P_bg1243", "P_bg1253", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.self_attn.q_proj", "P_bg1243", "P_bg1253", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.self_attn.v_proj", "P_bg1243", "P_bg1253", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.7.layer_norm1", "P_bg1253"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.mlp.fc1", "P_bg1253", "P_bg1249", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.7.mlp.fc2", "P_bg1249", "P_bg1251", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.7.layer_norm2", "P_bg1251"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.self_attn.k_proj", "P_bg1251", "P_bg1261", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.self_attn.out_proj", "P_bg1251", "P_bg1261", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.self_attn.q_proj", "P_bg1251", "P_bg1261", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.self_attn.v_proj", "P_bg1251", "P_bg1261", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.8.layer_norm1", "P_bg1261"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.mlp.fc1", "P_bg1261", "P_bg1257", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.8.mlp.fc2", "P_bg1257", "P_bg1259", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.8.layer_norm2", "P_bg1259"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.self_attn.k_proj", "P_bg1259", "P_bg1269", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.self_attn.out_proj", "P_bg1259", "P_bg1269", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.self_attn.q_proj", "P_bg1259", "P_bg1269", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.self_attn.v_proj", "P_bg1259", "P_bg1269", bias=True),  
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.9.layer_norm1", "P_bg1269"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.mlp.fc1", "P_bg1269", "P_bg1265", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.9.mlp.fc2", "P_bg1265", "P_bg1267", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.9.layer_norm2", "P_bg1267"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.k_proj", "P_bg1267", "P_bg1197", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.out_proj", "P_bg1267", "P_bg1197", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.q_proj", "P_bg1267", "P_bg1197", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.v_proj", "P_bg1267", "P_bg1197", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.10.layer_norm1", "P_bg1197"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.mlp.fc1", "P_bg1197", "P_bg1193", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.10.mlp.fc2", "P_bg1193", "P_bg1195", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.10.layer_norm2", "P_bg1195"),

**dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.k_proj", "P_bg1195", "P_bg1205", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.out_proj", "P_bg1195", "P_bg1205", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.q_proj", "P_bg1195", "P_bg1205", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.v_proj", "P_bg1195", "P_bg1205", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.11.layer_norm1", "P_bg1205"),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc1", "P_bg1205", "P_bg1201", bias=True),
            **dense("conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc2", "P_bg1201", "P_bg1203", bias=True),
            **norm("conditioner.embedders.0.transformer.text_model.encoder.layers.11.layer_norm2", "P_bg1203"),

**norm("conditioner.embedders.0.transformer.text_model.final_layer_norm", "P_bg1203"),

# Text Encoder 2
            # Should observe the original openCLIP Repo: https://github.com/openai/CLIP/blob/main/clip/model.py#L171
            # Size / sequence has its pattern! Somehow not compatable with ViT-L!

**dense("conditioner.embedders.1.model.token_embedding", None, None),
            **norm("conditioner.embedders.1.model.ln_final", "P_bg1430"),
            **skip("conditioner.embedders.1.model.logit_scale", None, None),
            **skip("conditioner.embedders.1.model.positional_embedding", None, None),
            **skip("conditioner.embedders.1.model.text_projection", None, None),

**dense2("conditioner.embedders.1.model.transformer.resblocks.0.attn.in_proj", "P_bg1276", "P_bg1277", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.0.attn.out_proj", "P_bg1274", "P_bg1275", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.0.ln_1", "P_bg1275"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.0.mlp.c_fc", "P_bg1275", "P_bg1279", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.0.mlp.c_proj", "P_bg1279", "P_bg1280", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.0.ln_2", "P_bg1280"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.1.attn.in_proj", "P_bg1282", "P_bg1283", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.1.attn.out_proj", "P_bg1280", "P_bg1281", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.1.ln_1", "P_bg1281"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.1.mlp.c_fc", "P_bg1281", "P_bg1285", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.1.mlp.c_proj", "P_bg1285", "P_bg1287", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.1.ln_2", "P_bg1287"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.2.attn.in_proj", "P_bg1289", "P_bg1290", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.2.attn.out_proj", "P_bg1287", "P_bg1347", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.2.ln_1", "P_bg1347"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.2.mlp.c_fc", "P_bg1348", "P_bg1351", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.2.mlp.c_proj", "P_bg1351", "P_bg1353", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.2.ln_2", "P_bg1353"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.3.attn.in_proj", "P_bg1355", "P_bg1356", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.3.attn.out_proj", "P_bg1353", "P_bg1413", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.3.ln_1", "P_bg1413"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.3.mlp.c_fc", "P_bg1413", "P_bg1417", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.3.mlp.c_proj", "P_bg1417", "P_bg1419", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.3.ln_2", "P_bg1419"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.4.attn.in_proj", "P_bg1421", "P_bg1422", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.4.attn.out_proj", "P_bg1419", "P_bg1431", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.4.ln_1", "P_bg1431"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.4.mlp.c_fc", "P_bg1431", "P_bg1435", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.4.mlp.c_proj", "P_bg1435", "P_bg1436", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.4.ln_2", "P_bg1436"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.5.attn.in_proj", "P_bg1438", "P_bg1439", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.5.attn.out_proj", "P_bg1436", "P_bg1437", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.5.ln_1", "P_bg1437"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.5.mlp.c_fc", "P_bg1437", "P_bg1441", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.5.mlp.c_proj", "P_bg1441", "P_bg1442", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.5.ln_2", "P_bg1442"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.6.attn.in_proj", "P_bg1444", "P_bg1445", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.6.attn.out_proj", "P_bg1442", "P_bg1443", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.6.ln_1", "P_bg1443"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.6.mlp.c_fc", "P_bg1443", "P_bg1447", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.6.mlp.c_proj", "P_bg1447", "P_bg1448", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.6.ln_2", "P_bg1448"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.7.attn.in_proj", "P_bg1450", "P_bg1451", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.7.attn.out_proj", "P_bg1448", "P_bg1449", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.7.ln_1", "P_bg1449"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.7.mlp.c_fc", "P_bg1449", "P_bg1453", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.7.mlp.c_proj", "P_bg1453", "P_bg1454", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.7.ln_2", "P_bg1454"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.8.attn.in_proj", "P_bg1456", "P_bg1457", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.8.attn.out_proj", "P_bg1454", "P_bg1455", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.8.ln_1", "P_bg1455"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.8.mlp.c_fc", "P_bg1455", "P_bg1459", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.8.mlp.c_proj", "P_bg1459", "P_bg1460", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.8.ln_2", "P_bg1460"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.9.attn.in_proj", "P_bg1462", "P_bg1463", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.9.attn.out_proj", "P_bg1460", "P_bg1461", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.9.ln_1", "P_bg1461"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.9.mlp.c_fc", "P_bg1461", "P_bg1465", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.9.mlp.c_proj", "P_bg1465", "P_bg1286", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.9.ln_2", "P_bg1286"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.10.attn.in_proj", "P_bg1288", "P_bg1466", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.10.attn.out_proj", "P_bg1286", "P_bg1287", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.10.ln_1", "P_bg1287"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.10.mlp.c_fc", "P_bg1287", "P_bg1291", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.10.mlp.c_proj", "P_bg1291", "P_bg1292", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.10.ln_2", "P_bg1292"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.11.attn.in_proj", "P_bg1294", "P_bg1295", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.11.attn.out_proj", "P_bg1292", "P_bg1293", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.11.ln_1", "P_bg1293"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.11.mlp.c_fc", "P_bg1293", "P_bg1297", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.11.mlp.c_proj", "P_bg1297", "P_bg1298", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.11.ln_2", "P_bg1298"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.12.attn.in_proj", "P_bg1300", "P_bg1301", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.12.attn.out_proj", "P_bg1298", "P_bg1299", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.12.ln_1", "P_bg1299"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.12.mlp.c_fc", "P_bg1299", "P_bg1303", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.12.mlp.c_proj", "P_bg1303", "P_bg1304", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.12.ln_2", "P_bg1304"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.13.attn.in_proj", "P_bg1306", "P_bg1307", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.13.attn.out_proj", "P_bg1304", "P_bg1305", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.13.ln_1", "P_bg1305"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.13.mlp.c_fc", "P_bg1305", "P_bg1309", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.13.mlp.c_proj", "P_bg1309", "P_bg1310", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.13.ln_2", "P_bg1310"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.14.attn.in_proj", "P_bg1312", "P_bg1313", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.14.attn.out_proj", "P_bg1310", "P_bg1311", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.14.ln_1", "P_bg1311"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.14.mlp.c_fc", "P_bg1311", "P_bg1315", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.14.mlp.c_proj", "P_bg1315", "P_bg1316", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.14.ln_2", "P_bg1316"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.15.attn.in_proj", "P_bg1318", "P_bg1319", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.15.attn.out_proj", "P_bg1316", "P_bg1317", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.15.ln_1", "P_bg1317"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.15.mlp.c_fc", "P_bg1317", "P_bg1321", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.15.mlp.c_proj", "P_bg1321", "P_bg1322", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.15.ln_2", "P_bg1322"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.16.attn.in_proj", "P_bg1324", "P_bg1325", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.16.attn.out_proj", "P_bg1322", "P_bg1323", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.16.ln_1", "P_bg1323"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.16.mlp.c_fc", "P_bg1323", "P_bg1327", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.16.mlp.c_proj", "P_bg1327", "P_bg1328", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.16.ln_2", "P_bg1328"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.17.attn.in_proj", "P_bg1330", "P_bg1331", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.17.attn.out_proj", "P_bg1328", "P_bg1329", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.17.ln_1", "P_bg1329"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.17.mlp.c_fc", "P_bg1329", "P_bg1333", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.17.mlp.c_proj", "P_bg1333", "P_bg1334", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.17.ln_2", "P_bg1334"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.18.attn.in_proj", "P_bg1336", "P_bg1337", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.18.attn.out_proj", "P_bg1334", "P_bg1335", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.18.ln_1", "P_bg1335"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.18.mlp.c_fc", "P_bg1335", "P_bg1339", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.18.mlp.c_proj", "P_bg1339", "P_bg1340", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.18.ln_2", "P_bg1340"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.19.attn.in_proj", "P_bg1342", "P_bg1343", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.19.attn.out_proj", "P_bg1340", "P_bg1341", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.19.ln_1", "P_bg1341"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.19.mlp.c_fc", "P_bg1341", "P_bg1345", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.19.mlp.c_proj", "P_bg1345", "P_bg1352", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.19.ln_2", "P_bg1352"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.20.attn.in_proj", "P_bg1354", "P_bg1346", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.20.attn.out_proj", "P_bg1352", "P_bg1353", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.20.ln_1", "P_bg1353"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.20.mlp.c_fc", "P_bg1353", "P_bg1357", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.20.mlp.c_proj", "P_bg1357", "P_bg1358", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.20.ln_2", "P_bg1358"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.21.attn.in_proj", "P_bg1360", "P_bg1361", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.21.attn.out_proj", "P_bg1358", "P_bg1359", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.21.ln_1", "P_bg1359"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.21.mlp.c_fc", "P_bg1359", "P_bg1363", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.21.mlp.c_proj", "P_bg1363", "P_bg1364", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.21.ln_2", "P_bg1364"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.22.attn.in_proj", "P_bg1366", "P_bg1367", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.22.attn.out_proj", "P_bg1364", "P_bg1365", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.22.ln_1", "P_bg1365"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.22.mlp.c_fc", "P_bg1365", "P_bg1369", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.22.mlp.c_proj", "P_bg1369", "P_bg1370", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.22.ln_2", "P_bg1370"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.23.attn.in_proj", "P_bg1372", "P_bg1373", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.23.attn.out_proj", "P_bg1370", "P_bg1371", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.23.ln_1", "P_bg1371"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.23.mlp.c_fc", "P_bg1371", "P_bg1375", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.23.mlp.c_proj", "P_bg1375", "P_bg1376", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.23.ln_2", "P_bg1376"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.24.attn.in_proj", "P_bg1378", "P_bg1379", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.24.attn.out_proj", "P_bg1376", "P_bg1377", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.24.ln_1", "P_bg1377"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.24.mlp.c_fc", "P_bg1377", "P_bg1381", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.24.mlp.c_proj", "P_bg1381", "P_bg1382", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.24.ln_2", "P_bg1382"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.25.attn.in_proj", "P_bg1384", "P_bg1385", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.25.attn.out_proj", "P_bg1382", "P_bg1383", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.25.ln_1", "P_bg1383"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.25.mlp.c_fc", "P_bg1383", "P_bg1387", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.25.mlp.c_proj", "P_bg1387", "P_bg1388", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.25.ln_2", "P_bg1388"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.26.attn.in_proj", "P_bg1390", "P_bg1391", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.26.attn.out_proj", "P_bg1388", "P_bg1389", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.26.ln_1", "P_bg1389"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.26.mlp.c_fc", "P_bg1389", "P_bg1393", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.26.mlp.c_proj", "P_bg1393", "P_bg1394", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.26.ln_2", "P_bg1394"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.27.attn.in_proj", "P_bg1396", "P_bg1397", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.27.attn.out_proj", "P_bg1394", "P_bg1395", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.27.ln_1", "P_bg1395"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.27.mlp.c_fc", "P_bg1395", "P_bg1399", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.27.mlp.c_proj", "P_bg1399", "P_bg1400", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.27.ln_2", "P_bg1400"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.28.attn.in_proj", "P_bg1402", "P_bg1403", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.28.attn.out_proj", "P_bg1400", "P_bg1401", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.28.ln_1", "P_bg1401"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.28.mlp.c_fc", "P_bg1401", "P_bg1405", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.28.mlp.c_proj", "P_bg1405", "P_bg1406", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.28.ln_2", "P_bg1406"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.29.attn.in_proj", "P_bg1408", "P_bg1409", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.29.attn.out_proj", "P_bg1406", "P_bg1407", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.29.ln_1", "P_bg1407"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.29.mlp.c_fc", "P_bg1407", "P_bg1411", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.29.mlp.c_proj", "P_bg1411", "P_bg1418", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.29.ln_2", "P_bg1418"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.30.attn.in_proj", "P_bg1420", "P_bg1414", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.30.attn.out_proj", "P_bg1418", "P_bg1419", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.30.ln_1", "P_bg1419"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.30.mlp.c_fc", "P_bg1419", "P_bg1423", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.30.mlp.c_proj", "P_bg1423", "P_bg1424", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.30.ln_2", "P_bg1424"),

**dense2("conditioner.embedders.1.model.transformer.resblocks.31.attn.in_proj", "P_bg1426", "P_bg1427", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.31.attn.out_proj", "P_bg1424", "P_bg1425", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.31.ln_1", "P_bg1425"),
            **dense("conditioner.embedders.1.model.transformer.resblocks.31.mlp.c_fc", "P_bg1425", "P_bg1429", bias=True),
            **dense("conditioner.embedders.1.model.transformer.resblocks.31.mlp.c_proj", "P_bg1429", "P_bg1430", bias=True),
            **norm("conditioner.embedders.1.model.transformer.resblocks.31.ln_2", "P_bg1430"), 
        }
    )

Comparer le texte

Affichage

Traitement

sdxl_permutation_spec @keyframes loading-circle-spin { 100% { transform: rotate(360deg); } }

sdxl_permutation_spec