Update multit2i.py

multit2i.py

@@ -157,7 +157,7 @@ def load_from_model(model_name: str, hf_token: str | Literal[False] | None = Non
         raise ModelNotFoundError(
             f"Could not find model: {model_name}. If it is a private or gated model, please provide your Hugging Face access token (https://huggingface.co/settings/tokens) as the argument for the `hf_token` parameter."
         )
-    p = response.json().get("pipeline_tag")
+    #p = response.json().get("pipeline_tag")
     #if p != "text-to-image": raise ModelNotFoundError(f"This model isn't for text-to-image or unsupported: {model_name}.")
     headers["X-Wait-For-Model"] = "true"
     client = huggingface_hub.InferenceClient(model=model_name, headers=headers,