| import os | |
| from dotenv import load_dotenv | |
| import requests | |
| load_dotenv() | |
| token = os.environ.get("HF_API_TOKEN") or os.environ.get("HF_TOKEN") | |
| headers = {"Authorization": f"Bearer {token}"} | |
| models_to_test = [ | |
| "stabilityai/stable-diffusion-xl-base-1.0", | |
| "stabilityai/stable-diffusion-2-1", | |
| "black-forest-labs/FLUX.1-schnell", | |
| "runwayml/stable-diffusion-v1-5" | |
| ] | |
| for model in models_to_test: | |
| url = f"https://api-inference.huggingface.co/models/{model}" | |
| print(f"\n--- Testing {model} ---") | |
| try: | |
| response = requests.post(url, headers=headers, json={"inputs": "A simple red apple"}, timeout=30) | |
| print(f"Status: {response.status_code}") | |
| print(f"Content-Type: {response.headers.get('Content-Type')}") | |
| if response.status_code != 200: | |
| print(f"Error: {response.text}") | |
| elif "application/json" in response.headers.get('Content-Type', ''): | |
| print(f"JSON Payload: {response.text}") | |
| else: | |
| print(f"Success: Image received ({len(response.content)} bytes)") | |
| except Exception as e: | |
| print(f"Exception: {e}") | |