diff --git a/src/router/prediction.py b/src/router/prediction.py
index 281afa5..9e37bc9 100644
--- a/src/router/prediction.py
+++ b/src/router/prediction.py
@@ -126,6 +126,6 @@ async def get_tx_hash(task_id: str):
         )
     return ImageGenerationTxHashResponse(
         status=data["status"],
-        tx_hash=data["tx_hash"],
+        result=data["tx_hash"],
         updated_at=data["updated_at"],
     )
diff --git a/src/schemas.py b/src/schemas.py
index a53da5a..0fe02e2 100644
--- a/src/schemas.py
+++ b/src/schemas.py
@@ -22,13 +22,13 @@ class ImageGenerationParams(BaseModel):
         description="prompt value that you do not want to see in the resulting image",
     )
     steps: int = Field(
-        default=50, ge=1, le=100, description="more steps can increase quality but will take longer to generate"
+        default=30, ge=10, le=150, description="more steps can increase quality but will take longer to generate"
     )
     seed: int = Field(default=1, ge=0, le=4294967295)
-    width: int = Field(default=512, ge=512, le=1024)
-    height: int = Field(default=512, ge=512, le=1024)
+    width: int = Field(default=768, ge=512, le=1024)
+    height: int = Field(default=768, ge=512, le=1024)
     images: int = Field(2, ge=1, le=4, description="How many images you wish to generate")
-    guidance_scale: float = Field(7.5, ge=0, le=50, description="how much the prompt will influence the results")
+    guidance_scale: float = Field(7, ge=0, le=20, description="how much the prompt will influence the results")
     model_id: ModelEnum = Field(ModelEnum.STABLE_DIFFUSION_V2_1_768, description="diffusion model id")
     scheduler_type: SchedulerType = Field(SchedulerType.DDIM, description="Scheduler Type")
 
@@ -74,5 +74,5 @@ class ImageGenerationResponse(BaseModel):
 
 class ImageGenerationTxHashResponse(BaseModel):
     status: ResponseStatusEnum = ResponseStatusEnum.PENDING
-    tx_hash: Dict[ResponseStatusEnum, str]
+    result: Dict[ResponseStatusEnum, str]
     updated_at: int = 0