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pipeline = AutoPipelineForText2Image.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16).to("cuda") Then load the IP-Adapter weights and add it to the pipeline with the load_ip_adapter() method.   Copied pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter_sd15.bin") Once loaded, you can use the pipeline with an image and text prompt to guide the image generation process.   Copied 