="pil",
...     num_inference_steps=50,
... ).images

>>> images[0].save("./gligen-inpainting-text-image-box.jpg")

>>> # Generate an image described by the prompt and
>>> # insert objects described by text and image at the region defined by bounding boxes
>>> pipe = StableDiffusionGLIGENTextImagePipeline.from_pretrained(
...     "anhnct/Gligen_Text_Image", torch_dtype=torch.float16
... )
>>> pipe = pipe.to("cuda")

>>> prompt = "a flower sitti