This sample multimodal/main.py appears to show Ollama I am trying to do the same with an image loaded from my machine. I am using the gemma2:27b model. The model is working with chat so that is not the issue. my Code import os.path import PIL.Image from dotenv import load_dotenv from ollama import generate load_dotenv() CHAT_MODEL_NAME = os.getenv("MODEL_NAME_LATEST") image_path = os.path.join("data", "image_one.jpg") test_image = PIL.Image.open(image_path) # test 1: for response in generate(CHAT_MODEL_NAME, 'What do you see', images=[test_image], stream=True): print(response['response'], end='', flush=True) # response: ollama._types.RequestError: image must be bytes, path-like object, or file-like object # test 2: bytes for response in generate(CHAT_MODEL_NAME, 'What do you see', images=[test_image.tobytes()], stream=True): print(response['response'], end='', flush=True) # response: Please provide me with the image! # test 3: Path for response in generate(CHAT_MODEL_NAME, 'What do you see', images=[image_path], stream=True): print(response['response'], end='', flush=True) # response: Please provide me with the image! How do i properly load an image to Gemma Cross posted on issue forum 289 Continue reading...