Add steps and guidance_scale to image generation request

- Add 'steps' parameter to ImageGenerationRequest (overrides quality-based default)
- Add 'guidance_scale' parameter to ImageGenerationRequest (overrides CLI --image-cfg-scale)
- Use request values in diffusers pipeline call

coderai

@@ -395,6 +395,8 @@ class ImageGenerationRequest(BaseModel):
     prompt: str
     n: int = 1
     size: Optional[str] = "1024x1024"
+    steps: Optional[int] = None  # Number of inference steps (overrides quality-based default)
+    guidance_scale: Optional[float] = None  # CFG scale (overrides quality-based default)
     quality: Optional[str] = "standard"
     style: Optional[str] = None
     response_format: Optional[str] = "url"
@@ -3780,6 +3782,12 @@ async def create_image_generation(request: ImageGenerationRequest, http_request:
         # Quality: "standard" or "hd"
         quality = request.quality or "standard"
         
+        # Use request parameters if provided, otherwise fall back to quality-based defaults
+        num_steps = request.steps if request.steps else (30 if quality == "standard" else 50)
+        cfg_scale = request.guidance_scale if request.guidance_scale else (
+            getattr(global_args, 'image_cfg_scale', 7.5) if quality == "standard" else 9.0
+        )
+        
         # Generate
         result = pipeline(
             prompt=request.prompt,
@@ -3788,8 +3796,8 @@ async def create_image_generation(request: ImageGenerationRequest, http_request:
             height=height,
             width=width,
             generator=generator,
-            guidance_scale=getattr(global_args, 'image_cfg_scale', 7.5) if quality == "standard" else 9.0,
-            num_inference_steps=30 if quality == "standard" else 50,
+            guidance_scale=cfg_scale,
+            num_inference_steps=num_steps,
         )
         
         # Extract images