Update app.py

app.py

@@ -69,16 +69,6 @@ controlnet_model = 'briaai/BRIA-4B-Adapt-ControlNet-Union'
 
 controlnet = BriaControlNetModel.from_pretrained(controlnet_model, torch_dtype=torch.bfloat16)
 pipe = BriaControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16, trust_remote_code=True)
-
-tokenizer = T5TokenizerFast.from_pretrained(
-    base_model, subfolder="tokenizer"
-)
-text_encoder = T5EncoderModel.from_pretrained(
-    base_model, subfolder="text_encoder", torch_dtype=torch.float16
-)
-
-pipe.text_encoder = text_encoder
-pipe.tokenizer = tokenizer    
 pipe.to("cuda")
 
 mode_mapping = {
@@ -230,15 +220,15 @@ with gr.Blocks(css=css) as demo:
                         minimum=0,
                         maximum=MAX_SEED,
                         step=1,
-                        value=42,
+                        value=555,
                     )
                     randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
                     
                     with gr.Accordion("Advanced settings", open=False):
                         with gr.Column():
                             with gr.Row():
-                                inference_steps = gr.Slider(label="Inference steps", minimum=1, maximum=50, step=1, value=24)
-                                guidance_scale = gr.Slider(label="Guidance scale", minimum=1.0, maximum=10.0, step=0.1, value=3.5)
+                                inference_steps = gr.Slider(label="Inference steps", minimum=1, maximum=50, step=1, value=50)
+                                guidance_scale = gr.Slider(label="Guidance scale", minimum=1.0, maximum=10.0, step=0.1, value=5.0)
                     
                     submit_btn = gr.Button("Submit")