Implement a HF handler.

handler.py

@@ -0,0 +1,28 @@
+from utils import pipes, tiling, wallpaper, images
+
+desired_output_width = 1024
+inference_steps = 25
+img2img_strength = 0.5
+
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        self.sdxl_pipe = pipes.create_stable_diffusion_xl_pipeline()
+        self.sdxl_img2img_pipe = pipes.create_stable_diffusion_xl_img2img_pipe()
+
+    def __call__(self, data):
+        prompt = data.pop("inputs", data)
+
+        original_image_size = tiling.compute_input_tile_width_for_desired_output(desired_output_width)
+
+        original_image = self.sdxl_pipe(prompt=prompt, num_inference_steps=inference_steps, width=original_image_size,
+                                        height=original_image_size).images[0]
+        inner_rotated_tile = images.extract_inner_rotated_tile_from_image(original_image)
+
+        tileable_image = \
+            self.sdxl_img2img_pipe(prompt, image=inner_rotated_tile.convert("RGB"), num_inference_steps=inference_steps,
+                                   strength=img2img_strength).images[
+                0]
+        half_drop = wallpaper.convert_tile_to_half_drop(tileable_image)
+
+        return half_drop