diff --git a/docs/my-website/docs/providers/fal_ai.md b/docs/my-website/docs/providers/fal_ai.md
index d42182b57a..e50ef919da 100644
--- a/docs/my-website/docs/providers/fal_ai.md
+++ b/docs/my-website/docs/providers/fal_ai.md
@@ -31,6 +31,7 @@ Get your API key from [fal.ai](https://fal.ai/).
 
 | Model Name | Description | Documentation |
 |------------|-------------|---------------|
+| `fal_ai/flux/schnell` | Flux Schnell - Low-latency generation with `image_size` support | [Docs ↗](https://fal.ai/models/fal-ai/flux/schnell) |
 | `fal_ai/fal-ai/flux-pro/v1.1-ultra` | FLUX Pro v1.1 Ultra - High-quality image generation | [Docs ↗](https://fal.ai/models/fal-ai/flux-pro/v1.1-ultra) |
 | `fal_ai/fal-ai/imagen4/preview` | Google's Imagen 4 - Highest quality model | [Docs ↗](https://fal.ai/models/fal-ai/imagen4/preview) |
 | `fal_ai/fal-ai/recraft/v3/text-to-image` | Recraft v3 - Multiple style options | [Docs ↗](https://fal.ai/models/fal-ai/recraft/v3/text-to-image) |
diff --git a/litellm/llms/fal_ai/__init__.py b/litellm/llms/fal_ai/__init__.py
index 492197951e..1f4cbe0e9c 100644
--- a/litellm/llms/fal_ai/__init__.py
+++ b/litellm/llms/fal_ai/__init__.py
@@ -3,6 +3,7 @@ from .image_generation import (
     FalAIBaseConfig,
     FalAIBriaConfig,
     FalAIFluxProV11UltraConfig,
+    FalAIFluxSchnellConfig,
     FalAIImageGenerationConfig,
     FalAIImagen4Config,
     FalAIRecraftV3Config,
@@ -18,6 +19,7 @@ __all__ = [
     "FalAIRecraftV3Config",
     "FalAIBriaConfig",
     "FalAIFluxProV11UltraConfig",
+    "FalAIFluxSchnellConfig",
     "FalAIStableDiffusionConfig",
     "get_fal_ai_image_generation_config",
 ]
diff --git a/litellm/llms/fal_ai/image_generation/__init__.py b/litellm/llms/fal_ai/image_generation/__init__.py
index 74d3b434b8..b4ae6734c6 100644
--- a/litellm/llms/fal_ai/image_generation/__init__.py
+++ b/litellm/llms/fal_ai/image_generation/__init__.py
@@ -4,6 +4,7 @@ from litellm.llms.base_llm.image_generation.transformation import (
 
 from .bria_transformation import FalAIBriaConfig
 from .flux_pro_v11_ultra_transformation import FalAIFluxProV11UltraConfig
+from .flux_schnell_transformation import FalAIFluxSchnellConfig
 from .imagen4_transformation import FalAIImagen4Config
 from .recraft_v3_transformation import FalAIRecraftV3Config
 from .stable_diffusion_transformation import FalAIStableDiffusionConfig
@@ -16,6 +17,7 @@ __all__ = [
     "FalAIRecraftV3Config",
     "FalAIBriaConfig",
     "FalAIFluxProV11UltraConfig",
+    "FalAIFluxSchnellConfig",
     "FalAIStableDiffusionConfig",
 ]
 
@@ -41,6 +43,8 @@ def get_fal_ai_image_generation_config(model: str) -> BaseImageGenerationConfig:
         return FalAIBriaConfig()
     elif "flux-pro" in model_lower and "ultra" in model_lower:
         return FalAIFluxProV11UltraConfig()
+    elif "flux/schnell" in model_lower or "flux-schnell" in model_lower or "schnell" in model_lower:
+        return FalAIFluxSchnellConfig()
     elif "stable-diffusion" in model_lower:
         return FalAIStableDiffusionConfig()
     
diff --git a/litellm/llms/fal_ai/image_generation/flux_schnell_transformation.py b/litellm/llms/fal_ai/image_generation/flux_schnell_transformation.py
new file mode 100644
index 0000000000..ed6ed37fb4
--- /dev/null
+++ b/litellm/llms/fal_ai/image_generation/flux_schnell_transformation.py
@@ -0,0 +1,88 @@
+from typing import Any
+
+from .flux_pro_v11_ultra_transformation import FalAIFluxProV11UltraConfig
+
+
+class FalAIFluxSchnellConfig(FalAIFluxProV11UltraConfig):
+    """
+    Configuration for Fal AI Flux Schnell model.
+
+    Flux Schnell shares the same response format as Flux Pro models but expects
+    the OpenAI `size` parameter to be translated into Fal AI's `image_size`
+    enum/object.
+
+    Model endpoint: fal-ai/flux/schnell
+    Documentation: https://fal.ai/models/fal-ai/flux/schnell
+    """
+
+    IMAGE_GENERATION_ENDPOINT: str = "fal-ai/flux/schnell"
+
+    _OPENAI_SIZE_TO_IMAGE_SIZE = {
+        "1024x1024": "square_hd",
+        "512x512": "square",
+        "1792x1024": "landscape_16_9",
+        "1024x1792": "portrait_16_9",
+        "1024x768": "landscape_4_3",
+        "768x1024": "portrait_4_3",
+    }
+
+    def map_openai_params(
+        self,
+        non_default_params: dict,
+        optional_params: dict,
+        model: str,
+        drop_params: bool,
+    ) -> dict:
+        supported_params = self.get_supported_openai_params(model)
+
+        param_mapping = {
+            "n": "num_images",
+            "response_format": "output_format",
+            "size": "image_size",
+        }
+
+        for k in non_default_params.keys():
+            if k not in optional_params.keys():
+                if k in supported_params:
+                    mapped_key = param_mapping.get(k, k)
+                    mapped_value = non_default_params[k]
+
+                    if k == "response_format":
+                        if mapped_value in ["b64_json", "url"]:
+                            mapped_value = "jpeg"
+                    elif k == "size":
+                        mapped_value = self._map_image_size(mapped_value)
+
+                    optional_params[mapped_key] = mapped_value
+                elif drop_params:
+                    continue
+                else:
+                    raise ValueError(
+                        f"Parameter {k} is not supported for model {model}. "
+                        f"Supported parameters are {supported_params}. "
+                        "Set drop_params=True to drop unsupported parameters."
+                    )
+
+        return optional_params
+
+    def _map_image_size(self, size: Any) -> Any:
+        if isinstance(size, dict):
+            return size
+
+        if not isinstance(size, str):
+            return size
+
+        if size in self._OPENAI_SIZE_TO_IMAGE_SIZE:
+            return self._OPENAI_SIZE_TO_IMAGE_SIZE[size]
+
+        if "x" in size:
+            try:
+                width_str, height_str = size.split("x")
+                width = int(width_str)
+                height = int(height_str)
+                return {"width": width, "height": height}
+            except (ValueError, AttributeError, ZeroDivisionError):
+                pass
+
+        return "landscape_4_3"
+
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 41e36994e0..c16980211e 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -8523,6 +8523,14 @@
             "/v1/images/generations"
         ]
     },
+    "fal_ai/fal-ai/flux/schnell": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.003,
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ]
+    },
     "fal_ai/fal-ai/imagen4/preview": {
         "litellm_provider": "fal_ai",
         "mode": "image_generation",
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 41e36994e0..c16980211e 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -8523,6 +8523,14 @@
             "/v1/images/generations"
         ]
     },
+    "fal_ai/fal-ai/flux/schnell": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.003,
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ]
+    },
     "fal_ai/fal-ai/imagen4/preview": {
         "litellm_provider": "fal_ai",
         "mode": "image_generation",
diff --git a/tests/image_gen_tests/test_fal_ai_image_generation.py b/tests/image_gen_tests/test_fal_ai_image_generation.py
index 949606a58a..7b5415e1d7 100644
--- a/tests/image_gen_tests/test_fal_ai_image_generation.py
+++ b/tests/image_gen_tests/test_fal_ai_image_generation.py
@@ -14,6 +14,7 @@ from litellm import aimage_generation
     "model",
     [
         "fal_ai/fal-ai/flux-pro/v1.1-ultra",
+        "fal_ai/fal-ai/flux/schnell",
         "fal_ai/fal-ai/recraft/v3/text-to-image",
         "fal_ai/bria/text-to-image/3.2",
         "fal_ai/fal-ai/stable-diffusion-v35-medium"