fix wan umt5 state dict converter

[akaitsuki-ii]

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[gemini-code-assist]

Summary of Changes

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This pull request addresses a critical fix for the WAN UMT5 state dictionary converter. The changes ensure that the model can accurately load and interpret weights from diffusers checkpoints by updating the parameter renaming logic and the mechanism for identifying the diffusers state dict format. This resolves potential issues with model initialization and ensures compatibility with external weight sources.

Highlights

• State Dictionary Key Renaming: The mapping of state dictionary keys within the _from_diffusers method has been updated to correctly convert weights from a diffusers format to the internal model format. This includes changes for the token embedding, final normalization layer, and all individual encoder block parameters (attention, feed-forward networks, and layer norms).
• Diffusers Format Detection Logic: The convert method's conditional check for identifying a diffusers formatted state dictionary has been modified. It now uses the key encoder.final_layer_norm.weight to detect the correct format, aligning with the updated key patterns.

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Code Review

This pull request addresses a bug in the WanTextEncoderStateDictConverter by correcting the state dictionary key mappings for diffusers UMT5 models. The previous implementation used incorrect keys, which this PR rectifies within the _from_diffusers method. Additionally, the detection logic in the convert method has been updated to correctly identify the diffusers model format. These changes are accurate and effectively resolve the issue, ensuring proper model weight loading from diffusers checkpoints.