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from PIL import Image | |
import torch | |
from transformers import CLIPProcessor, CLIPModel | |
def generate_image_from_text(prompt): | |
model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32") | |
processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32") | |
inputs = processor(text=[prompt], images=None, return_tensors="pt", padding=True) | |
outputs = model(**inputs) | |
# Dummy image return (you can integrate real image generation later) | |
img = Image.new("RGB", (256, 256), color="blue") # Just a placeholder image | |
return img |