Update app.py

app.py

@@ -54,12 +54,16 @@ import numpy as np
 # ).to("cuda")
 
 # 1) Load the SD3.5-Large T2I pipeline (will pull in its own VAE, UNet, text encoders, etc.)
+import os
+
+HF_TOKEN = os.environ["HF_TOKEN"]  # or os.getenv("HF_TOKEN")
+
 t2i = StableDiffusion3Pipeline.from_pretrained(
     "stabilityai/stable-diffusion-3.5-large",
-    torch_dtype=torch.bfloat16,    # recommended for SD3.5  [oai_citation:0‡github.com](https://github.com/huggingface/diffusers/releases?utm_source=chatgpt.com)
+    torch_dtype=torch.bfloat16,
+    use_auth_token=HF_TOKEN   # ← here
 ).to("cuda")
 
-# 2) Wrap it into the standard inpainting pipeline
 pipe = StableDiffusionInpaintPipeline(
     vae=t2i.vae,
     text_encoder=t2i.text_encoder,
@@ -68,10 +72,10 @@ pipe = StableDiffusionInpaintPipeline(
     scheduler=t2i.scheduler,
     safety_checker=t2i.safety_checker,
     feature_extractor=t2i.feature_extractor,
+    use_auth_token=HF_TOKEN   # ← and here
 ).to("cuda")
 
 
-
 # pipe.scheduler = TCDScheduler.from_config(pipe.scheduler.config)
 pipe.scheduler = TCDScheduler.from_config(pipe.scheduler.config)