test gradio

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import torch
 # from diffusers import StableDiffusion3ControlNetPipeline, SD3ControlNetModel, UniPCMultistepScheduler
-from diffusers import AutoPipelineForText2Image
+from diffusers import StableDiffusionXLPipeline
 from huggingface_hub import login
 import os
 import spaces
@@ -27,7 +27,7 @@ login(token=token)
 # controlnet = SD3ControlNetModel.from_pretrained("alimama-creative/SD3-Controlnet-Softedge", torch_dtype=torch.float16)
 
 # pipe = StableDiffusion3ControlNetPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", controlnet=controlnet)
-pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers")
+pipe = StableDiffusionXLPipeline.from_pretrained("stabilityai/sdxl-turbo")
 pipe.load_ip_adapter("TencentARC/T2I-Adapter", subfolder="models", weight_name="coadapter-style-sd15v1.pth")
 pipe.to("cuda", torch.float16)