Upload multit2i.py

multit2i.py

@@ -124,7 +124,7 @@ def load_from_model(model_name: str, hf_token: str = None):
             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."
         )
     headers["X-Wait-For-Model"] = "true"
-    client = huggingface_hub.InferenceClient(model=model_name, headers=headers, token=hf_token, timeout=120)
+    client = huggingface_hub.InferenceClient(model=model_name, headers=headers, token=hf_token, timeout=300)
     inputs = gr.components.Textbox(label="Input")
     outputs = gr.components.Image(label="Output")
     fn = client.text_to_image