Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the model (will take time and ~6GB+ RAM)
+pipe = StableDiffusionPipeline.from_pretrained(
+    "runwayml/stable-diffusion-v1-5",
+    torch_dtype=torch.float32,
+    low_cpu_mem_usage=True,
+    use_auth_token=True  # Optional if you already logged in with huggingface-cli
+).to("cpu")
+
+# Inference function
+def generate_image(prompt):
+    image = pipe(prompt, num_inference_steps=15).images[0]
+    return image
+
+# Gradio app
+gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(placeholder="A dragon playing guitar under a disco ball"),
+    outputs="image",
+    title="CJ's Image Generator",
+    description="Enter a prompt and summon an image like an AI sorcerer with CPU lag."
+).launch(share=True)