diff --git a/bitmind/__init__.py b/bitmind/__init__.py
index f65f125c..f2841d24 100644
--- a/bitmind/__init__.py
+++ b/bitmind/__init__.py
@@ -18,7 +18,7 @@
 # DEALINGS IN THE SOFTWARE.
 
 
-__version__ = "2.2.4"
+__version__ = "2.2.6"
 version_split = __version__.split(".")
 __spec_version__ = (
     (1000 * int(version_split[0]))
diff --git a/bitmind/synthetic_data_generation/synthetic_data_generator.py b/bitmind/synthetic_data_generation/synthetic_data_generator.py
index b910aa47..19b60607 100644
--- a/bitmind/synthetic_data_generation/synthetic_data_generator.py
+++ b/bitmind/synthetic_data_generation/synthetic_data_generator.py
@@ -418,6 +418,15 @@ def load_model(self, model_name: Optional[str] = None, modality: Optional[str] =
                 **pipeline_args,
                 add_watermarker=False
             )
+            
+            # Load LoRA weights if specified
+            if 'lora_model_id' in model_config:
+                bt.logging.info(f"Loading LoRA weights from {model_config['lora_model_id']}")
+                lora_loading_args = model_config.get('lora_loading_args', {})
+                self.model.load_lora_weights(
+                    model_config['lora_model_id'], 
+                    **lora_loading_args
+                )
 
             # Load scheduler if specified
             if 'scheduler' in model_config:
diff --git a/bitmind/validator/config.py b/bitmind/validator/config.py
index f7ba906e..9d7e3333 100644
--- a/bitmind/validator/config.py
+++ b/bitmind/validator/config.py
@@ -115,10 +115,13 @@ class Modality(StrEnum):
         {"path": "bitmind/caltech-256"},
         {"path": "bitmind/caltech-101"},
         {"path": "bitmind/dtd"}
-
     ],
     "semisynthetic": [
         {"path": "bitmind/face-swap"}
+    ],
+    "synthetic": [
+        {"path": "bitmind/JourneyDB"},
+        {"path": "bitmind/GenImage_MidJourney"}
     ]
 }
 
@@ -178,6 +181,19 @@ class Modality(StrEnum):
         },
         "enable_model_cpu_offload": False
     },
+    "runwayml/stable-diffusion-v1-5-midjourney-v6": {
+        "pipeline_cls": StableDiffusionPipeline,
+        "from_pretrained_args": {
+            "model_id": "runwayml/stable-diffusion-v1-5",
+            "use_safetensors": True,
+            "torch_dtype": torch.float16,
+        },
+        "lora_model_id": "Kvikontent/midjourney-v6",
+        "lora_loading_args": {
+            "use_peft_backend": True
+        },
+        "enable_model_cpu_offload": False
+    },
     "prompthero/openjourney-v4" : {
         "pipeline_cls": StableDiffusionPipeline,
         "from_pretrained_args": {
@@ -442,4 +458,4 @@ def select_random_model(task: Optional[str] = None) -> str:
     elif task == 'i2i':
         return np.random.choice(I2I_MODEL_NAMES)
     else:
-        raise NotImplementedError(f"Unsupported task: {task}")
+        raise NotImplementedError(f"Unsupported task: {task}")
\ No newline at end of file
diff --git a/bitmind/validator/scripts/run_cache_updater.py b/bitmind/validator/scripts/run_cache_updater.py
index 1d4d1be3..1747b3a6 100644
--- a/bitmind/validator/scripts/run_cache_updater.py
+++ b/bitmind/validator/scripts/run_cache_updater.py
@@ -17,6 +17,7 @@
     VIDEO_ZIP_CACHE_UPDATE_INTERVAL,
     REAL_VIDEO_CACHE_DIR,
     REAL_IMAGE_CACHE_DIR,
+    SYNTH_IMAGE_CACHE_DIR,
     SEMISYNTH_VIDEO_CACHE_DIR,
     SEMISYNTH_IMAGE_CACHE_DIR,
     MAX_COMPRESSED_GB,
@@ -52,21 +53,21 @@ async def main(args):
             max_compressed_size_gb=MAX_COMPRESSED_GB
         )
         semisynth_image_cache.start_updater()
-    
-    if args.modality in ['all', 'video']:
-        bt.logging.info("Starting semisynthetic video cache updater")
-        semisynth_video_cache = VideoCache(
-            cache_dir=SEMISYNTH_VIDEO_CACHE_DIR,
-            datasets=VIDEO_DATASETS['semisynthetic'],
-            video_update_interval=args.video_interval,
-            zip_update_interval=args.video_zip_interval,
-            num_zips_per_dataset=2,
-            num_videos_per_zip=100,
+
+        bt.logging.info("Starting synthetic image cache updater")
+        synth_image_cache = ImageCache(
+            cache_dir=SYNTH_IMAGE_CACHE_DIR,
+            datasets=IMAGE_DATASETS['synthetic'],
+            parquet_update_interval=args.image_parquet_interval,
+            image_update_interval=args.image_interval,
+            num_parquets_per_dataset=5,
+            num_images_per_source=100,
             max_extracted_size_gb=MAX_EXTRACTED_GB,
             max_compressed_size_gb=MAX_COMPRESSED_GB
         )
-        semisynth_video_cache.start_updater()
-
+        synth_image_cache.start_updater()
+    
+    if args.modality in ['all', 'video']:
         bt.logging.info("Starting real video cache updater")
         real_video_cache = VideoCache(
             cache_dir=REAL_VIDEO_CACHE_DIR,
@@ -79,6 +80,19 @@ async def main(args):
             max_compressed_size_gb=100,
         )
         real_video_cache.start_updater()
+        
+        bt.logging.info("Starting semisynthetic video cache updater")
+        semisynth_video_cache = VideoCache(
+            cache_dir=SEMISYNTH_VIDEO_CACHE_DIR,
+            datasets=VIDEO_DATASETS['semisynthetic'],
+            video_update_interval=args.video_interval,
+            zip_update_interval=args.video_zip_interval,
+            num_zips_per_dataset=2,
+            num_videos_per_zip=100,
+            max_extracted_size_gb=MAX_EXTRACTED_GB,
+            max_compressed_size_gb=MAX_COMPRESSED_GB
+        )
+        semisynth_video_cache.start_updater()
 
     while True:
         bt.logging.info(f"Running cache updaters for: {args.modality}")
diff --git a/requirements.txt b/requirements.txt
index 50aaf9ab..eb68fdf4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -17,6 +17,7 @@ timm==1.0.12
 einops==0.8.0
 ultralytics==8.3.44
 janus @ git+https://github.com/deepseek-ai/Janus.git
+peft==0.15.0
 
 # Image/Video processing
 datasets==3.1.0