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app.py

@@ -27,8 +27,6 @@ from huggingface_hub import login
 token = os.getenv("HF_TOKEN")
 login(token=token)
 
-# Model and Pipeline Setup
-
 model_path = 'stabilityai/stable-diffusion-3.5-large'
 ip_adapter_path = './ip-adapter.bin'
 image_encoder_path = "google/siglip-so400m-patch14-384"
@@ -48,21 +46,6 @@ pipe.init_ipadapter(
 )
 
 
-# Load transformer and pipeline
-transformer = SD3Transformer2DModel.from_pretrained(
-    model_path, subfolder="transformer", torch_dtype=torch.bfloat16
-)
-pipe = StableDiffusion3Pipeline.from_pretrained(
-    model_path, transformer=transformer, torch_dtype=torch.bfloat16
-).to("cuda")
-
-# Initialize IP Adapter
-pipe.init_ipadapter(
-    ip_adapter_path=ip_adapter_path,
-    image_encoder_path=image_encoder_path,
-    nb_token=64,
-)
-
 @spaces.GPU
 def gui_generation(prompt, ref_img, guidance_scale, ipadapter_scale):
 
@@ -76,9 +59,7 @@ def gui_generation(prompt, ref_img, guidance_scale, ipadapter_scale):
         guidance_scale=guidance_scale,
         generator=torch.Generator("cuda").manual_seed(42),
         clip_image=ref_img.convert('RGB'),
-        ipadapter_scale=ipadapter_scale,
-    ).images[0]
-
+        ipadapter_scale=ipadapter_scale).images[0]
     return image
 
 # Create Gradio interface