Update pipeline_flux_fill.py

src/diffusers/pipelines/flux/pipeline_flux_fill.py

@@ -220,6 +220,7 @@ def __init__(
             tokenizer_2=tokenizer_2,
             transformer=transformer,
             scheduler=scheduler,
+            ip_adapter=ip_adapter,
         )
         self.vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1) if getattr(self, "vae", None) else 8
         # Flux latents are turned into 2x2 patches and packed. This means the latent width and height has to be divisible
@@ -240,6 +241,14 @@ def __init__(
         )
         self.default_sample_size = 128
 
+    def load_ip_adapter(self, ip_adapter_path):
+        try:
+            self.ip_adapter = torch.load(ip_adapter_path)
+            print(f"[FluxFillPipeline] IP Adapter loaded from: {ip_adapter_path}")
+        except Exception as e:
+            print(f"[FluxFillPipeline] Failed to load IP Adapter: {str(e}")
+            raise
+
     # Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._get_t5_prompt_embeds
     def _get_t5_prompt_embeds(
         self,