:tada: init

app.py

@@ -36,6 +36,8 @@ def inference(
         per_step_time: int = 1,
         n_total_steps: int = 1000,
 ):
+    yield image_pil, ""
+
     scheduler = SCHEDULERS[scheduler_name].from_pretrained(MODEL_IDS[model_name], subfolder='scheduler')
     scheduler.set_timesteps(num_inference_steps=n_total_steps)
     timesteps = torch.flip(scheduler.timesteps, dims=[0])