Create app.py

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+
+def generate_poster(prompt):
+    model_path = "sd-poster-model"
+    pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16)
+    pipe.unet.load_attn_procs(model_path)
+    pipe.to("cuda")
+
+    image = pipe(prompt, num_inference_steps=100, guidance_scale=50).images[0]
+    return image
+
+interface = gr.Interface(fn=generate_poster, inputs="text", outputs="image", title="Poster Generator")
+interface.launch(inline = False)