refactor(lora): remove the lora_apply_te setting

Text encoder networks now apply unconditionally in the native path.

- remove the option, the per-request parameter and the control threading
- collapse activate_filtered into plain activate at all call sites
- drop the toggle from the prompt embed cache key
- register the retired key so existing configs load without warnings

modules/prompt_parser_diffusers.py

@@ -130,11 +130,8 @@ class PromptEmbedder:
         # unpack EN data in case of TE LoRA
         en_data = p.network_data
         en_data = [idx.items for item in en_data.values() for idx in item]
-        apply_te = getattr(p, 'lora_apply_te', None)
-        if apply_te is None:
-            apply_te = shared.opts.lora_apply_te
         effective_batch = 1 if self.allsame else self.batchsize
-        key = str([self.prompts, self.negative_prompts, effective_batch, self.clip_skip, self.steps, en_data, apply_te])
+        key = str([self.prompts, self.negative_prompts, effective_batch, self.clip_skip, self.steps, en_data])
         item = cache.get(key)
         if not item:
             if not any(flatten(emb) for emb in [self.prompt_embeds,