added params and model attribute to fal service

src/dailyai/services/fal_ai_services.py

@@ -3,6 +3,8 @@ import asyncio
 import io
 import os
 from PIL import Image
+from pydantic import BaseModel
+from typing import Optional, Union, Dict
 
 from dailyai.services.ai_services import ImageGenService
 
@@ -16,30 +18,44 @@ except ModuleNotFoundError as e:
 
 
 class FalImageGenService(ImageGenService):
+    class InputParams(BaseModel):
+        seed: Optional[int] = None
+        num_inference_steps: int = 4
+        num_images: int = 1
+        image_size: Union[str, Dict[str, int]] = "square_hd"
+        expand_prompt: bool = False
+        enable_safety_checker: bool = True
+        format: str = "png"
+
     def __init__(
         self,
         *,
-        image_size,
         aiohttp_session: aiohttp.ClientSession,
+        params: InputParams,
+        model="fal-ai/fast-sdxl",
         key_id=None,
         key_secret=None
     ):
-        super().__init__(image_size)
+        super().__init__()
+        self._model = model
+        self._params = params
         self._aiohttp_session = aiohttp_session
         if key_id:
             os.environ["FAL_KEY_ID"] = key_id
         if key_secret:
             os.environ["FAL_KEY_SECRET"] = key_secret
 
-    async def run_image_gen(self, sentence) -> tuple[str, bytes, tuple[int, int]]:
+    async def run_image_gen(self, prompt) -> tuple[str, bytes]:
-        def get_image_url(sentence, size):
+        def get_image_url(prompt):
-            handler = fal.apps.submit(
+            handler = fal.apps.submit(  # type: ignore
-                "110602490-fast-sdxl",
+                self._model,
-                # "fal-ai/fast-sdxl",
+                arguments={
-                arguments={"prompt": sentence},
+                    "prompt": prompt,
+                    **self._params.dict(),
+                },
             )
             for event in handler.iter_events():
-                if isinstance(event, fal.apps.InProgress):
+                if isinstance(event, fal.apps.InProgress):  # type: ignore
                     pass
 
             result = handler.get()
@@ -50,9 +66,10 @@ class FalImageGenService(ImageGenService):
 
             return image_url
 
-        image_url = await asyncio.to_thread(get_image_url, sentence, self.image_size)
+        image_url = await asyncio.to_thread(get_image_url, prompt)
+
         # Load the image from the url
         async with self._aiohttp_session.get(image_url) as response:
             image_stream = io.BytesIO(await response.content.read())
             image = Image.open(image_stream)
-            return (image_url, image.tobytes(), image.size)
+            return (image_url, image.tobytes())