Update app.py

app.py

@@ -290,10 +290,12 @@ print("=" * 80)
 pose_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2_3_NSFW_furry_concat_v2.safetensors")
 general_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="ltx23__demopose_d3m0p0s3.safetensors")
 motion_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="motion_helper.safetensors")
+reasoning_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_Reasoning_V1.safetensors")
 
 print(f"Pose LoRA: {pose_lora_path}")
 print(f"General LoRA: {general_lora_path}")
 print(f"Motion LoRA: {motion_lora_path}")
+print(f"Reasoning LoRA: {reasoning_lora_path}")
 # ----------------------------------------------------------------
 
 print(f"Checkpoint: {checkpoint_path}")
@@ -311,11 +313,12 @@ pipeline = LTX23DistilledA2VPipeline(
 )
 # ----------------------------------------------------------------
 
-def _make_lora_key(pose_strength: float, general_strength: float, motion_strength: float) -> tuple[str, str]:
+def _make_lora_key(pose_strength: float, general_strength: float, motion_strength: float, reasoning_strength: float) -> tuple[str, str]:
     rp = round(float(pose_strength), 2)
     rg = round(float(general_strength), 2)
     rm = round(float(motion_strength), 2)
-    key_str = f"{pose_lora_path}:{rp}|{general_lora_path}:{rg}|{motion_lora_path}:{rm}"
+    rr = round(float(reasoning_strength), 2)
+    key_str = f"{pose_lora_path}:{rp}|{general_lora_path}:{rg}|{motion_lora_path}:{rm}|{reasoning_lora_path}:{rr}"
     key = hashlib.sha256(key_str.encode("utf-8")).hexdigest()
     return key, key_str
 
@@ -324,6 +327,7 @@ def prepare_lora_cache(
     pose_strength: float,
     general_strength: float,
     motion_strength: float,
+    reasoning_strength: float,
     progress=gr.Progress(track_tqdm=True),
 ):
     """
@@ -336,7 +340,7 @@ def prepare_lora_cache(
     global PENDING_LORA_KEY, PENDING_LORA_STATE, PENDING_LORA_STATUS
 
     ledger = pipeline.model_ledger
-    key, _ = _make_lora_key(pose_strength, general_strength, motion_strength)
+    key, _ = _make_lora_key(pose_strength, general_strength, motion_strength, reasoning_strength)
     cache_path = LORA_CACHE_DIR / f"{key}.pt"
 
     progress(0.05, desc="Preparing LoRA state")
@@ -355,6 +359,7 @@ def prepare_lora_cache(
         (pose_lora_path, round(float(pose_strength), 2)),
         (general_lora_path, round(float(general_strength), 2)),
         (motion_lora_path, round(float(motion_strength), 2)),
+        (reasoning_lora_path, round(float(reasoning_strength), 2)),
     ]
     loras_for_builder = [
         LoraPathStrengthAndSDOps(path, strength, LTXV_LORA_COMFY_RENAMING_MAP)
@@ -557,6 +562,7 @@ def get_gpu_duration(
     pose_strength: float = 0.0,
     general_strength: float = 0.0,
     motion_strength: float = 0.0,
+    reasoning_strength: float = 0.0,
     progress=None,
 ):
     return int(gpu_duration)
@@ -578,6 +584,7 @@ def generate_video(
     pose_strength: float = 0.0,
     general_strength: float = 0.0,
     motion_strength: float = 0.0,
+    reasoning_strength: float = 0.0,
     progress=gr.Progress(track_tqdm=True),
 ):
     try:
@@ -687,15 +694,19 @@ with gr.Blocks(title="LTX-2.3 Heretic Distilled") as demo:
                 with gr.Column():
                     gr.Markdown("### LoRA adapter strengths (set to 0 to disable)")
                     pose_strength = gr.Slider(
-                        label="Pose Enhancer strength",
+                        label="Motion Enhancer strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
                     general_strength = gr.Slider(
-                        label="General Enhancer strength",
+                        label="Posing Enhancer strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
                     motion_strength = gr.Slider(
-                        label="Motion Helper strength",
+                        label="Motion Enhancer Helper strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
+                    reasoning_strength = gr.Slider(
+                        label="Reasoning Helper strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
                 prepare_lora_btn = gr.Button("Prepare / Load LoRA Cache", variant="secondary")
@@ -737,12 +748,13 @@ with gr.Blocks(title="LTX-2.3 Heretic Distilled") as demo:
                 0.0,  # pose_strength (example)
                 0.0,  # general_strength (example)
                 0.0,  # motion_strength (example)
+                0.0,
             ],
         ],
         inputs=[
             first_image, last_image, input_audio, prompt, duration, gpu_duration,
             enhance_prompt, seed, randomize_seed, height, width,
-            pose_strength, general_strength, motion_strength,
+            pose_strength, general_strength, motion_strength, reasoning_strength,
         ],
     )
 
@@ -766,7 +778,7 @@ with gr.Blocks(title="LTX-2.3 Heretic Distilled") as demo:
 
     prepare_lora_btn.click(
         fn=prepare_lora_cache,
-        inputs=[pose_strength, general_strength, motion_strength],
+        inputs=[pose_strength, general_strength, motion_strength, reasoning_strength],
         outputs=[lora_status],
     )
     
@@ -775,7 +787,7 @@ with gr.Blocks(title="LTX-2.3 Heretic Distilled") as demo:
         inputs=[
             first_image, last_image, input_audio, prompt, duration, gpu_duration, enhance_prompt,
             seed, randomize_seed, height, width,
-            pose_strength, general_strength, motion_strength,
+            pose_strength, general_strength, motion_strength, reasoning_strength
         ],
         outputs=[output_video, seed],
     )