Create app.py

app.py

@@ -0,0 +1,38 @@
+import gradio as gr
+
+def generate_image(prompt, negative_prompt, seed, width, height, prior_inference_steps, prior_guidance_scale, decoder_inference_steps, decoder_guidance_scale, num_images):
+    client = gr.Client("multimodalart/stable-cascade")
+    result = client.predict(
+        prompt,
+        negative_prompt,
+        seed,
+        width,
+        height,
+        prior_inference_steps,
+        prior_guidance_scale,
+        decoder_inference_steps,
+        decoder_guidance_scale,
+        num_images,
+        api_name="/run"
+    )
+    return result
+
+demo = gr.Interface(
+    fn=generate_image,
+    inputs=[
+        gr.Textbox(label="Prompt"),
+        gr.Textbox(label="Negative prompt"),
+        gr.Slider(label="Seed", minimum=0, maximum=2147483647, step=1),
+        gr.Slider(label="Width", minimum=1024, maximum=1536, step=1),
+        gr.Slider(label="Height", minimum=1024, maximum=1536, step=1),
+        gr.Slider(label="Prior Inference Steps", minimum=10, maximum=30, step=1),
+        gr.Slider(label="Prior Guidance Scale", minimum=0, maximum=20, step=1),
+        gr.Slider(label="Decoder Inference Steps", minimum=4, maximum=12, step=1),
+        gr.Slider(label="Decoder Guidance Scale", minimum=0, maximum=0, step=1),
+        gr.Slider(label="Number of Images", minimum=1, maximum=2, step=1),
+    ],
+    outputs=["image"],
+    theme = "soft"
+)
+
+demo.launch()