changed to full precision

app.py

@@ -34,8 +34,12 @@ def run(prompt, outer, inner, random_seed, pipe):
 if __name__ == "__main__":
     scheduler = NestedScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear",
                                 prediction_type='sample', clip_sample=False, set_alpha_to_one=False)
-    pipe = NestedStableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", revision="fp16",
+    fp16 = False
+    if fp16:
+        pipe = NestedStableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", revision="fp16",
                                                              torch_dtype=torch.float16, scheduler=scheduler)
+    else:
+        pipe = NestedStableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", scheduler=scheduler)
     device = "cuda" if torch.cuda.is_available() else "cpu"
     pipe.to(device)
     interface = partial(run, pipe=pipe)