[FP8] enable hunyuan-image-3 diffusion model with fp8 online quant (#1935)

Signed-off-by: Chendi Xue <chendi.xue@intel.com>

examples/offline_inference/text_to_image/text_to_image.py

@@ -36,7 +36,17 @@ def parse_args() -> argparse.Namespace:
         "--model",
         default="Qwen/Qwen-Image",
         help="Diffusion model name or local path. Supported models: "
-        "Qwen/Qwen-Image, Tongyi-MAI/Z-Image-Turbo, Qwen/Qwen-Image-2512, stepfun-ai/NextStep-1.1",
+        "Qwen/Qwen-Image, Tongyi-MAI/Z-Image-Turbo, Qwen/Qwen-Image-2512, stepfun-ai/NextStep-1.1, "
+        "black-forest-labs/FLUX.1-dev, black-forest-labs/FLUX.2-klein-9B, "
+        "black-forest-labs/FLUX.2-dev, tencent/HunyuanImage-3.0-Instruct, "
+        "meituan-longcat/LongCat-Image, OvisAI/Ovis-Image, "
+        "stabilityai/stable-diffusion-3.5-medium, Tongyi-MAI/Z-Image-Turbo and etc.",
+    )
+    parser.add_argument(
+        "--stage-configs-path",
+        type=str,
+        default=None,
+        help="Path to a YAML file containing stage configurations for Omni.",
     )
     parser.add_argument("--prompt", default="a cup of coffee on the table", help="Text prompt for image generation.")
     parser.add_argument(
@@ -311,6 +321,8 @@ def main():
         **lora_args,
         **quant_kwargs,
     }
+    if args.stage_configs_path:
+        omni_kwargs["stage_configs_path"] = args.stage_configs_path
     if use_nextstep:
         # NextStep-1.1 requires explicit pipeline class
         omni_kwargs["model_class_name"] = "NextStep11Pipeline"
@@ -338,6 +350,8 @@ def main():
     print(f"  Image size: {args.width}x{args.height}")
     if args.lora_path:
         print(f"  LoRA: scale={args.lora_scale}")
+    if args.stage_configs_path:
+        print(f"  stage-configs-path: {args.stage_configs_path}")
     print(f"{'=' * 60}\n")
 
     # Build LoRA request when --lora-path is set