Update app.py

app.py

@@ -14,9 +14,9 @@ ckpt = "sdxl_lightning_4step_unet.safetensors"
 # Load model (Executed only once for efficiency)
 @st.cache_resource
 def load_sdxl_pipeline():
-    unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("cpu", torch.float16)
+    unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("cpu", torch.float32)
     unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device="cpu"))
-    pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet, torch_dtype=torch.float16, variant="fp16").to("cpu")
+    pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet, torch_dtype=torch.float32, variant="fp32").to("cpu")
     pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
     return pipe