Update PhotoMaker v2 demo

pipeline_t2i_adapter.py

@@ -1,5 +1,5 @@
 #####
-# Modified from https://github.com/huggingface/diffusers/blob/v0.29.1/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py
+# Modified from https://github.com/huggingface/diffusers/blob/v0.29.1/src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_xl_adapter.py
 # PhotoMaker v2 @ TencentARC and MCG-NKU 
 # Author: Zhen Li
 #####
@@ -249,6 +249,7 @@ class PhotoMakerStableDiffusionXLAdapterPipeline(StableDiffusionXLAdapterPipelin
         if keys != ["id_encoder", "lora_weights"]:
             raise ValueError("Required keys are (`id_encoder` and `lora_weights`) missing from the state dict.")
 
+        self.num_tokens = 2
         self.trigger_word = trigger_word
         # load finetuned CLIP image encoder and fuse module here if it has not been registered to the pipeline yet
         print(f"Loading PhotoMaker {pm_version} components [1] id_encoder from [{pretrained_model_name_or_path_or_dict}]...")