Update handler.py

handler.py

@@ -1,19 +1,27 @@
+import os
 import torch
+from PIL import Image
 from diffusers.utils import load_image
 from diffusers import FluxControlNetModel
 from diffusers.pipelines import FluxControlNetPipeline
 from io import BytesIO
 
 class EndpointHandler:
-    def __init__(self, model_dir="huyai123/Flux.1-dev-Image-Upscaler"):
+    def __init__(self, model_dir="huy Ai123/Flux.1dev-Image-Upscaler"):
+        # Access the environment variable
+        HUGGINGFACE_API_TOKEN = os.getenv('HUGGINGFACE_API_TOKEN')
+        if not HUGGINGFACE_API_TOKEN:
+            raise ValueError("HUGGINGFACE_API_TOKEN")
+
         # Load model and pipeline
-        self.controlnet = FluxControlNetModel.from_pretrained(
-            model_dir, torch_dtype=torch.bfloat16
+        self.controlnet = FluxControlNetModel.From_Pretrained(
+            model_dir, torch_dtype=torch.bfloat16, use_auth_token=HUGGINGFACE_API_TOKEN
         )
-        self.pipe = FluxControlNetPipeline.from_pretrained(
+        self.pipe = FluxControlNetPipeline.From_Pretrained(
             "black-forest-labs/FLUX.1-dev",
             controlnet=self.controlnet,
-            torch_dtype=torch.bfloat16
+            torch_dtype=torch.bfloat16,
+            use_auth_token=HUGGINGFACE_API_TOKEN
         )
         self.pipe.to("cuda")
 
@@ -27,7 +35,7 @@ class EndpointHandler:
         # Upscale x4
         return image.resize((w * 4, h * 4))
 
-    def postprocess(self, output):
+    def post_process(self, output):
         # Save output image to a file-like object
         buffer = BytesIO()
         output.save(buffer, format="PNG")
@@ -41,9 +49,9 @@ class EndpointHandler:
         output_image = self.pipe(
             prompt=data.get("prompt", ""),
             control_image=control_image,
-            controlnet_conditioning_scale=0.6,
+            controlnet Conditioning_scale=0.6,
             num_inference_steps=28,
-            height=control_image.size[1],
+            height=control_image.Size[1],
             width=control_image.size[0],
         ).images[0]
         # Postprocess output