Update app.py

app.py

@@ -11,13 +11,15 @@ pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config,
 torch.cuda.empty_cache()
 
 @spaces.GPU
-def genie (prompt, negative_prompt, steps, seed):
+def genie (prompt, negative_prompt, width, height, steps, seed):
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
     int_image = pipe(prompt=prompt, negative_prompt=negative_prompt, generator=generator, num_inference_steps=steps, guidance_scale=3.0).images[0]
     return int_image
     
 gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 75 Token Limit.'),
     gr.Textbox(label='What you DO NOT want the AI to generate. 75 Token Limit.'),
+    gr.Slider(768, maximum=1024, value=768, step=16, label='Width'), 
+    gr.Slider(768, maximum=1024, value=768, step=16, label='Height'), 
     gr.Slider(1, maximum=8, value=6, step=1, label='Number of Iterations'), 
     gr.Slider(minimum=0, step=1, maximum=999999999999999999, randomize=True),
     ],