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| import requests | |
| import io | |
| import base64 | |
| from PIL import Image | |
| # ... (rest of your SDXL-Turbo setup) ... | |
| def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps): | |
| # 1. Generate the raw image | |
| result = pipe( | |
| prompt=prompt, | |
| negative_prompt=negative_prompt, | |
| guidance_scale=guidance_scale, | |
| num_inference_steps=num_inference_steps, | |
| width=width, | |
| height=height, | |
| ) | |
| raw_image = result.images[0] | |
| # 2. Save image to a "buffer" (in memory, not on disk) | |
| img_byte_arr = io.BytesIO() | |
| raw_image.save(img_byte_arr, format='PNG') | |
| img_byte_arr = img_byte_arr.getvalue() | |
| # 3. Upload to ImgBB (Free API) | |
| # Get a free key from https://api.imgbb.com/ | |
| IMGBB_API_KEY = "YOUR_IMGBB_API_KEY_HERE" | |
| response = requests.post( | |
| "https://api.imgbb.com/1/upload", | |
| data={ | |
| "key": IMGBB_API_KEY, | |
| "image": base64.b64encode(img_byte_arr), | |
| } | |
| ) | |
| # 4. Return the URL instead of the raw image | |
| upload_data = response.json() | |
| return upload_data["data"]["url"] | |