diff --git a/model_presets.toml b/model_presets.toml
index 98e3122..7130dcc 100644
--- a/model_presets.toml
+++ b/model_presets.toml
@@ -14,6 +14,14 @@ Detailed Prompting Guide:
 - Sampler: Works well with DPM++ 2M SDE.
 """
 "Resolution Set" = "sdxl"
-"CFG Scale" = 6.0
-"Sampling Steps" = 28
-"Sampling Method" = "DPM++ 2M SDE"
+"CFG Scale" = 4.0
+"Hires. fix" = true
+"Denoising strength" = 0.5
+"Upscale by" = 1.5
+"Upscaler" = "Lanczos"
+"Hires steps" = 16
+"Hires CFG Scale" = 4.0
+"Sampling Steps" = 32
+"Sampling Method" = "Euler a"
+"Schedule Type" = "Uniform"
+"Rescale CFG" = 0.3
diff --git a/tools/__init__.py b/tools/__init__.py
index 2531be8..f84c744 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -148,10 +148,7 @@ TOOL_REGISTRY = [
                 "prompt": {"type": "string", "description": "The prompt for the image. Required."},
                 "negative_prompt": {"type": "string", "description": "The negative prompt to exclude unwanted elements."},
                 "resolution_preset": {"type": "string", "description": "A named resolution preset (e.g., 'square', 'portrait'). Available options depend on the model."},
-                "steps": {"type": "integer", "description": "Number of sampling steps."},
                 "cfg_scale": {"type": "number", "description": "CFG scale for prompt adherence."},
-                "seed": {"type": "number", "description": "Random seed for reproducibility. Use -1 for random."},
-                "sampler": {"type": "string", "description": "The sampling method to use."},
             },
             "required": ["model_name", "prompt"],
         },
diff --git a/tools/generate_image.py b/tools/generate_image.py
index f7e670b..6ed7faf 100644
--- a/tools/generate_image.py
+++ b/tools/generate_image.py
@@ -92,10 +92,7 @@ async def handle(args: Dict[str, Any]) -> List[Dict[str, Any]]:
     overrides = {
         "prompt": "Prompt",
         "negative_prompt": "Negative Prompt",
-        "steps": "Sampling Steps",
         "cfg_scale": "CFG Scale",
-        "seed": "Seed",
-        "sampler": "Sampling Method"
     }
     
     for arg_key, label in overrides.items():
@@ -105,13 +102,16 @@ async def handle(args: Dict[str, Any]) -> List[Dict[str, Any]]:
     if "Prompt" in label_map:
         payload[label_map["Prompt"]] = prompt
 
+    if "Seed" in label_map:
+        payload[label_map["Seed"]] = -1
+
     for _ in range(7):
         payload.insert(39, None)
 
     # 6. EXECUTE GENERATION
     try:
         gen_payload = {"data": payload}
-        gen_resp = requests.post(f"{SD_URL}/api/txt2img", json=gen_payload, timeout=300)
+        gen_resp = requests.post(f"{config.SD_URL}/api/txt2img", json=gen_payload, timeout=300)
         gen_resp.raise_for_status()
         res_data = gen_resp.json()