Create app.py

app.py

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+import gradio as gr
+
+def greet(name):
+ return "Hello " + name + "!!"
+
+from diffusers import AutoPipelineForText2Image
+import torch
+def pipee():
+ pipeline = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cpu")
+
+
+ pipeline.load_lora_weights("ostris/super-cereal-sdxl-lora", weight_name="cereal_box_sdxl_v1.safetensors")
+ prompt = "bears, pizza bites"
+ image = pipeline(prompt).images[0]
+ return image
+
+
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()