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examples/inference/basic_usage_example.py

+from diffusers import AutoPipelineForText2Image
+import torch
+
+from src.linfusion import LinFusion
+from src.tools import seed_everything
+sd_repo = "runwayml/stable-diffusion-v1-5"
+
+pipeline = AutoPipelineForText2Image.from_pretrained(
+    sd_repo, torch_dtype=torch.float16, variant="fp16"
+).to(torch.device("cuda"))
+linfusion = LinFusion.construct_for(pipeline, pretrained_model_name_or_path="Yuanshi/LinFusion-1-5")
+seed_everything(123)
+image = pipeline(
+	"An astronaut floating in space. Beautiful view of the stars and the universe in the background."
+).images[0]
+image.save("astronaut_space-1-5.png")