Create app.py

app.py

@@ -0,0 +1,35 @@
+import torch
+import gradio as gr
+from diffusers import StableDiffusion3Pipeline
+
+def image_generation(prompt):
+    # is_cuda = False
+    pipeline = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers",
+                                                        torch_dtype=torch.float32,
+                                                        text_encoder_3=None,
+                                                        tokenizer_3=None)
+    # pipeline.enable_model_cpu_offload()
+    pipeline.to('cpu')
+
+    image = pipeline(
+        prompt=prompt,
+        negative_prompt="blurred, ugly, watermark, low resolution, blurry",
+        num_inference_steps=10,
+        height=192,
+        width=192,
+        guidance_scale=7.0
+    ).images[0]
+
+    return image
+
+# image_generation("A magicion cat doing spell")
+
+gr.close_all()
+
+interface = gr.Interface(fn=image_generation,
+                    inputs=[gr.Textbox(label="Enter your prompt", lines=2)],
+                    outputs=[gr.Image(type="pil", label="Generated Image")],
+                    title="@GenAILearniverse Project 8: Image creation using Stable Diffusion 3 Model",
+                    description="THIS APPLICATION WILL BE USED TO GENERATE AWESOME IMAGES USING SD3 MODEL.")
+
+interface.launch()