diff --git a/finetrainers/args.py b/finetrainers/args.py
index bcd0076..137eab6 100644
--- a/finetrainers/args.py
+++ b/finetrainers/args.py
@@ -236,6 +236,7 @@ def parse_arguments() -> Args:
 
 
 def validate_args(args: Args):
+    _validate_training_args(args)
     _validate_validation_args(args)
 
 
@@ -455,7 +456,8 @@ def _add_training_arguments(parser: argparse.ArgumentParser) -> None:
         "--training_type",
         type=str,
         default=None,
-        help="Type of training to perform. Choose between ['lora','sft']",
+        choices=["lora", "full-finetune"],
+        help="Type of training to perform. Choose between ['lora', 'full-finetune']",
     )
     parser.add_argument("--seed", type=int, default=None, help="A seed for reproducible training.")
     parser.add_argument(
@@ -874,6 +876,15 @@ def _map_to_args_type(args: Dict[str, Any]) -> Args:
     return result_args
 
 
+def _validate_training_args(args: Args):
+    if args.training_type == "lora":
+        assert args.rank is not None, "Rank is required for LoRA training"
+        assert args.lora_alpha is not None, "LoRA alpha is required for LoRA training"
+        assert (
+            args.target_modules is not None and len(args.target_modules) > 0
+        ), "Target modules are required for LoRA training"
+
+
 def _validate_validation_args(args: Args):
     assert args.validation_prompts is not None, "Validation prompts are required for validation"
     if args.validation_images is not None:
diff --git a/finetrainers/cogvideox/__init__.py b/finetrainers/cogvideox/__init__.py
index 8ca65b7..390479b 100644
--- a/finetrainers/cogvideox/__init__.py
+++ b/finetrainers/cogvideox/__init__.py
@@ -1 +1,2 @@
-from .cogvideox_lora import COGVIDEOX_T2V_FULL_FINETUNE_CONFIG, COGVIDEOX_T2V_LORA_CONFIG
+from .cogvideox_lora import COGVIDEOX_T2V_LORA_CONFIG
+from .full_finetune import COGVIDEOX_T2V_FULL_FINETUNE_CONFIG
diff --git a/finetrainers/cogvideox/cogvideox_lora.py b/finetrainers/cogvideox/cogvideox_lora.py
index cc213f8..36776d0 100644
--- a/finetrainers/cogvideox/cogvideox_lora.py
+++ b/finetrainers/cogvideox/cogvideox_lora.py
@@ -312,6 +312,7 @@ def _pad_frames(latents: torch.Tensor, patch_size_t: int):
     return latents
 
 
+# TODO(aryan): refactor into model specs for better re-use
 COGVIDEOX_T2V_LORA_CONFIG = {
     "pipeline_cls": CogVideoXPipeline,
     "load_condition_models": load_condition_models,
@@ -326,18 +327,3 @@ COGVIDEOX_T2V_LORA_CONFIG = {
     "forward_pass": forward_pass,
     "validation": validation,
 }
-
-COGVIDEOX_T2V_FULL_FINETUNE_CONFIG = {
-    "pipeline_cls": CogVideoXPipeline,
-    "load_condition_models": load_condition_models,
-    "load_latent_models": load_latent_models,
-    "load_diffusion_models": load_diffusion_models,
-    "initialize_pipeline": initialize_pipeline,
-    "prepare_conditions": prepare_conditions,
-    "prepare_latents": prepare_latents,
-    "post_latent_preparation": post_latent_preparation,
-    "collate_fn": collate_fn_t2v,
-    "calculate_noisy_latents": calculate_noisy_latents,
-    "forward_pass": forward_pass,
-    "validation": validation,
-}
diff --git a/finetrainers/cogvideox/full_finetune.py b/finetrainers/cogvideox/full_finetune.py
new file mode 100644
index 0000000..f755981
--- /dev/null
+++ b/finetrainers/cogvideox/full_finetune.py
@@ -0,0 +1,32 @@
+from diffusers import CogVideoXPipeline
+
+from .cogvideox_lora import (
+    calculate_noisy_latents,
+    collate_fn_t2v,
+    forward_pass,
+    initialize_pipeline,
+    load_condition_models,
+    load_diffusion_models,
+    load_latent_models,
+    post_latent_preparation,
+    prepare_conditions,
+    prepare_latents,
+    validation,
+)
+
+
+# TODO(aryan): refactor into model specs for better re-use
+COGVIDEOX_T2V_FULL_FINETUNE_CONFIG = {
+    "pipeline_cls": CogVideoXPipeline,
+    "load_condition_models": load_condition_models,
+    "load_latent_models": load_latent_models,
+    "load_diffusion_models": load_diffusion_models,
+    "initialize_pipeline": initialize_pipeline,
+    "prepare_conditions": prepare_conditions,
+    "prepare_latents": prepare_latents,
+    "post_latent_preparation": post_latent_preparation,
+    "collate_fn": collate_fn_t2v,
+    "calculate_noisy_latents": calculate_noisy_latents,
+    "forward_pass": forward_pass,
+    "validation": validation,
+}
diff --git a/finetrainers/hunyuan_video/__init__.py b/finetrainers/hunyuan_video/__init__.py
index 1800b2e..e1fdafa 100644
--- a/finetrainers/hunyuan_video/__init__.py
+++ b/finetrainers/hunyuan_video/__init__.py
@@ -1 +1,2 @@
-from .hunyuan_video_lora import HUNYUAN_VIDEO_T2V_FULL_FINETUNE_CONFIG, HUNYUAN_VIDEO_T2V_LORA_CONFIG
+from .full_finetune import HUNYUAN_VIDEO_T2V_FULL_FINETUNE_CONFIG
+from .hunyuan_video_lora import HUNYUAN_VIDEO_T2V_LORA_CONFIG
diff --git a/finetrainers/hunyuan_video/full_finetune.py b/finetrainers/hunyuan_video/full_finetune.py
new file mode 100644
index 0000000..36dd5cb
--- /dev/null
+++ b/finetrainers/hunyuan_video/full_finetune.py
@@ -0,0 +1,30 @@
+from diffusers import HunyuanVideoPipeline
+
+from .hunyuan_video_lora import (
+    collate_fn_t2v,
+    forward_pass,
+    initialize_pipeline,
+    load_condition_models,
+    load_diffusion_models,
+    load_latent_models,
+    post_latent_preparation,
+    prepare_conditions,
+    prepare_latents,
+    validation,
+)
+
+
+# TODO(aryan): refactor into model specs for better re-use
+HUNYUAN_VIDEO_T2V_FULL_FINETUNE_CONFIG = {
+    "pipeline_cls": HunyuanVideoPipeline,
+    "load_condition_models": load_condition_models,
+    "load_latent_models": load_latent_models,
+    "load_diffusion_models": load_diffusion_models,
+    "initialize_pipeline": initialize_pipeline,
+    "prepare_conditions": prepare_conditions,
+    "prepare_latents": prepare_latents,
+    "post_latent_preparation": post_latent_preparation,
+    "collate_fn": collate_fn_t2v,
+    "forward_pass": forward_pass,
+    "validation": validation,
+}
diff --git a/finetrainers/hunyuan_video/hunyuan_video_lora.py b/finetrainers/hunyuan_video/hunyuan_video_lora.py
index 7d4fb5e..071451c 100644
--- a/finetrainers/hunyuan_video/hunyuan_video_lora.py
+++ b/finetrainers/hunyuan_video/hunyuan_video_lora.py
@@ -346,6 +346,7 @@ def _get_clip_prompt_embeds(
     return {"pooled_prompt_embeds": prompt_embeds}
 
 
+# TODO(aryan): refactor into model specs for better re-use
 HUNYUAN_VIDEO_T2V_LORA_CONFIG = {
     "pipeline_cls": HunyuanVideoPipeline,
     "load_condition_models": load_condition_models,
@@ -359,17 +360,3 @@ HUNYUAN_VIDEO_T2V_LORA_CONFIG = {
     "forward_pass": forward_pass,
     "validation": validation,
 }
-
-HUNYUAN_VIDEO_T2V_FULL_FINETUNE_CONFIG = {
-    "pipeline_cls": HunyuanVideoPipeline,
-    "load_condition_models": load_condition_models,
-    "load_latent_models": load_latent_models,
-    "load_diffusion_models": load_diffusion_models,
-    "initialize_pipeline": initialize_pipeline,
-    "prepare_conditions": prepare_conditions,
-    "prepare_latents": prepare_latents,
-    "post_latent_preparation": post_latent_preparation,
-    "collate_fn": collate_fn_t2v,
-    "forward_pass": forward_pass,
-    "validation": validation,
-}
diff --git a/finetrainers/ltx_video/__init__.py b/finetrainers/ltx_video/__init__.py
index 0b33512..6d5d0f9 100644
--- a/finetrainers/ltx_video/__init__.py
+++ b/finetrainers/ltx_video/__init__.py
@@ -1 +1,2 @@
-from .ltx_video_lora import LTX_VIDEO_T2V_FULL_FINETUNE_CONFIG, LTX_VIDEO_T2V_LORA_CONFIG
+from .full_finetune import LTX_VIDEO_T2V_FULL_FINETUNE_CONFIG
+from .ltx_video_lora import LTX_VIDEO_T2V_LORA_CONFIG
diff --git a/finetrainers/ltx_video/full_finetune.py b/finetrainers/ltx_video/full_finetune.py
new file mode 100644
index 0000000..9aa30ef
--- /dev/null
+++ b/finetrainers/ltx_video/full_finetune.py
@@ -0,0 +1,30 @@
+from diffusers import LTXPipeline
+
+from .ltx_video_lora import (
+    collate_fn_t2v,
+    forward_pass,
+    initialize_pipeline,
+    load_condition_models,
+    load_diffusion_models,
+    load_latent_models,
+    post_latent_preparation,
+    prepare_conditions,
+    prepare_latents,
+    validation,
+)
+
+
+# TODO(aryan): refactor into model specs for better re-use
+LTX_VIDEO_T2V_FULL_FINETUNE_CONFIG = {
+    "pipeline_cls": LTXPipeline,
+    "load_condition_models": load_condition_models,
+    "load_latent_models": load_latent_models,
+    "load_diffusion_models": load_diffusion_models,
+    "initialize_pipeline": initialize_pipeline,
+    "prepare_conditions": prepare_conditions,
+    "prepare_latents": prepare_latents,
+    "post_latent_preparation": post_latent_preparation,
+    "collate_fn": collate_fn_t2v,
+    "forward_pass": forward_pass,
+    "validation": validation,
+}
diff --git a/finetrainers/ltx_video/ltx_video_lora.py b/finetrainers/ltx_video/ltx_video_lora.py
index 64bb625..a6e8222 100644
--- a/finetrainers/ltx_video/ltx_video_lora.py
+++ b/finetrainers/ltx_video/ltx_video_lora.py
@@ -322,17 +322,3 @@ LTX_VIDEO_T2V_LORA_CONFIG = {
     "forward_pass": forward_pass,
     "validation": validation,
 }
-
-LTX_VIDEO_T2V_FULL_FINETUNE_CONFIG = {
-    "pipeline_cls": LTXPipeline,
-    "load_condition_models": load_condition_models,
-    "load_latent_models": load_latent_models,
-    "load_diffusion_models": load_diffusion_models,
-    "initialize_pipeline": initialize_pipeline,
-    "prepare_conditions": prepare_conditions,
-    "prepare_latents": prepare_latents,
-    "post_latent_preparation": post_latent_preparation,
-    "collate_fn": collate_fn_t2v,
-    "forward_pass": forward_pass,
-    "validation": validation,
-}