test gradio

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 import torch
-from diffusers import StableDiffusion3ControlNetPipeline, ControlNetModel, UniPCMultistepScheduler
+from diffusers import StableDiffusion3ControlNetPipeline, SD3ControlNetModel, UniPCMultistepScheduler
 from huggingface_hub import login
 import os
 import spaces
@@ -10,10 +10,10 @@ login(token=token)
 
 # Model IDs for Stable Diffusion 1.5 and ControlNet
 model_id = "stabilityai/stable-diffusion-3.5-large-turbo"
-controlnet_id = "lllyasviel/control_v11p_sd15_inpaint"
+controlnet_id = "InstantX/SD3-Controlnet-Tile"
 
 # Load the ControlNet model and Stable Diffusion pipeline
-controlnet = ControlNetModel.from_pretrained(controlnet_id, torch_dtype=torch.float16)
+controlnet = SD3ControlNetModel.from_pretrained(controlnet_id, torch_dtype=torch.float16)
 pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
     model_id, controlnet=controlnet, torch_dtype=torch.float16
 )