Update app.py

app.py

@@ -273,8 +273,8 @@ PENDING_LORA_STATUS: str = "No LoRA state prepared yet."
 weights_dir = Path("weights")
 weights_dir.mkdir(exist_ok=True)
 checkpoint_path = hf_hub_download(
-    repo_id="SulphurAI/Sulphur-2-base",
-    filename="sulphur_distil_bf16.safetensors",
+    repo_id="Lightricks/LTX-2.3",
+    filename="ltx-2.3-22b-distilled-1.1.safetensors",
     local_dir=str(weights_dir),
     local_dir_use_symlinks=False,
 )
@@ -290,6 +290,8 @@ LORA_REPO = "dagloop5/LoRA"
 print("=" * 80)
 print("Downloading LoRA adapters from dagloop5/LoRA...")
 print("=" * 80)
+teneros_lora_path = hf_hub_download(repo_id="maximsobolev275/LTX-10Eros-LoRA-r768", filename="LTX_10Eros_LoRA_r768.safetensors")
+sulphur_lora_path =hf_hub_download(repo_id="SulphurAI/Sulphur-2-base", filename="sulphur_lora_rank_768.safetensors")
 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="LTX2.3_reasoning_I2V_V3.safetensors")
 motion_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Sulphur_LTX 2.3_better _NSFW_motion.safetensors")
@@ -306,6 +308,8 @@ physics_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_Physics_
 reasoning_lora_path = hf_hub_download(repo_id="LiconStudio/Ltx2.3-VBVR-lora-I2V", filename="Ltx2.3-Licon-VBVR-I2V-390K-R32.safetensors")
 twostep_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_Multi_step_video_reasoning_V0.1.safetensors")
 
+print(f"10Eros LoRA: {teneros_lora_path}")
+print(f"Sulphur LoRA: {sulphur_lora_path}")
 print(f"Pose LoRA: {pose_lora_path}")
 print(f"General LoRA: {general_lora_path}")
 print(f"Motion LoRA: {motion_lora_path}")
@@ -334,11 +338,13 @@ pipeline = LTX23DistilledA2VPipeline(
     spatial_upsampler_path=spatial_upsampler_path,
     gemma_root=gemma_root,
     loras=[],
-    quantization=None,  # keep FP8 quantization unchanged
+    quantization=QuantizationPolicy.fp8_cast(),  # keep FP8 quantization unchanged
 )
 # ----------------------------------------------------------------
 
-def _make_lora_key(pose_strength: float, general_strength: float, motion_strength: float, dreamlay_strength: float, mself_strength: float, dramatic_strength: float, fluid_strength: float, liquid_strength: float, demopose_strength: float, voice_strength: float, realism_strength: float, transition_strength: float, physics_strength: float, reasoning_strength: float, twostep_strength: float) -> tuple[str, str]:
+def _make_lora_key(teneros_strength: float, sulphur_strength: float, pose_strength: float, general_strength: float, motion_strength: float, dreamlay_strength: float, mself_strength: float, dramatic_strength: float, fluid_strength: float, liquid_strength: float, demopose_strength: float, voice_strength: float, realism_strength: float, transition_strength: float, physics_strength: float, reasoning_strength: float, twostep_strength: float) -> tuple[str, str]:
+    ra = round(float(teneros_strength), 2)
+    rb = round(float(sulphur_strength), 2)
     rp = round(float(pose_strength), 2)
     rg = round(float(general_strength), 2)
     rm = round(float(motion_strength), 2)
@@ -354,12 +360,14 @@ def _make_lora_key(pose_strength: float, general_strength: float, motion_strengt
     ry = round(float(physics_strength), 2)
     ri = round(float(reasoning_strength), 2)
     rw = round(float(twostep_strength), 2)
-    key_str = f"{pose_lora_path}:{rp}|{general_lora_path}:{rg}|{motion_lora_path}:{rm}|{dreamlay_lora_path}:{rd}|{mself_lora_path}:{rs}|{dramatic_lora_path}:{rr}|{fluid_lora_path}:{rf}|{liquid_lora_path}:{rl}|{demopose_lora_path}:{ro}|{voice_lora_path}:{rv}|{realism_lora_path}:{re}|{transition_lora_path}:{rt}|{physics_lora_path}:{ry}|{reasoning_lora_path}:{ri}|{twostep_lora_path}:{rw}"
+    key_str = f"{teneros_lora_path}:{ra}|{sulphur_lora_path}:{rb}|{pose_lora_path}:{rp}|{general_lora_path}:{rg}|{motion_lora_path}:{rm}|{dreamlay_lora_path}:{rd}|{mself_lora_path}:{rs}|{dramatic_lora_path}:{rr}|{fluid_lora_path}:{rf}|{liquid_lora_path}:{rl}|{demopose_lora_path}:{ro}|{voice_lora_path}:{rv}|{realism_lora_path}:{re}|{transition_lora_path}:{rt}|{physics_lora_path}:{ry}|{reasoning_lora_path}:{ri}|{twostep_lora_path}:{rw}"
     key = hashlib.sha256(key_str.encode("utf-8")).hexdigest()
     return key, key_str
 
 
 def prepare_lora_cache(
+    teneros_strength: float,
+    sulphur_strength: float,
     pose_strength: float,
     general_strength: float,
     motion_strength: float,
@@ -387,7 +395,7 @@ 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, dreamlay_strength, mself_strength, dramatic_strength, fluid_strength, liquid_strength, demopose_strength, voice_strength, realism_strength, transition_strength, physics_strength, reasoning_strength, twostep_strength)
+    key, _ = _make_lora_key(teneros_strength, sulphur_strength, pose_strength, general_strength, motion_strength, dreamlay_strength, mself_strength, dramatic_strength, fluid_strength, liquid_strength, demopose_strength, voice_strength, realism_strength, transition_strength, physics_strength, reasoning_strength, twostep_strength)
     cache_path = LORA_CACHE_DIR / f"{key}.safetensors"
 
     progress(0.05, desc="Preparing LoRA state")
@@ -403,6 +411,8 @@ def prepare_lora_cache(
             print(f"[LoRA] Cache load failed: {type(e).__name__}: {e}")
 
     entries = [
+        (teneros_lora_path, round(float(teneros_strength), 2)),
+        (sulphur_lora_path, round(float(sulphur_strength), 2)),
         (pose_lora_path, round(float(pose_strength), 2)),
         (general_lora_path, round(float(general_strength), 2)),
         (motion_lora_path, round(float(motion_strength), 2)),
@@ -602,6 +612,8 @@ def get_gpu_duration(
     randomize_seed: bool = False,
     height: int = 0.0,
     width: int = 0.0,
+    teneros_strength: float = 0.0,
+    sulphur_strength: float = 0.0,
     pose_strength: float = 0.0,
     general_strength: float = 0.0,
     motion_strength: float = 0.0,
@@ -635,6 +647,8 @@ def generate_video(
     randomize_seed: bool = True,
     height: int = 0.0,
     width: int = 0.0,
+    teneros_strength: float = 0.0,
+    sulphur_strength: float = 0.0,
     pose_strength: float = 0.0,
     general_strength: float = 0.0,
     motion_strength: float = 0.0,
@@ -758,6 +772,14 @@ with gr.Blocks(title="LTX-2.3 Distilled") as demo:
                     high_res = gr.Checkbox(label="High Resolution", value=True)
                 with gr.Column():
                     gr.Markdown("### LoRA adapter strengths (set to 0 to disable; slow and WIP)")
+                    teneros_strength = gr.Slider(
+                        label="10Eros Lora strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
+                    sulphur_strength = gr.Slider(
+                        label="Sulphur Lora strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
                     pose_strength = gr.Slider(
                         label="Anthro Enhancer strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
@@ -835,49 +857,6 @@ with gr.Blocks(title="LTX-2.3 Distilled") as demo:
                 step=1.0,
             )
 
-    gr.Examples(
-        examples=[
-            [
-                None,
-                "pinkknit.jpg",
-                None,
-                "The camera falls downward through darkness as if dropped into a tunnel. "
-                "As it slows, five friends wearing pink knitted hats and sunglasses lean "
-                "over and look down toward the camera with curious expressions. The lens "
-                "has a strong fisheye effect, creating a circular frame around them. They "
-                "crowd together closely, forming a symmetrical cluster while staring "
-                "directly into the lens.",
-                3.0,
-                80.0,
-                False,
-                42,
-                True,
-                1024,
-                1024,
-                0.0,  # pose_strength (example)
-                0.0,  # general_strength (example)
-                0.0,  # motion_strength (example)
-                0.0,
-                0.0,
-                0.0,
-                0.0,
-                0.0,
-                0.0,
-                0.0,
-                0.0,
-                0.0,
-                0.0,
-                0.0,
-                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, dreamlay_strength, mself_strength, dramatic_strength, fluid_strength, liquid_strength, demopose_strength, voice_strength, realism_strength, transition_strength, physics_strength, reasoning_strength, twostep_strength,
-        ],
-    )
-
     first_image.change(
         fn=on_image_upload,
         inputs=[first_image, last_image, high_res],
@@ -898,7 +877,7 @@ with gr.Blocks(title="LTX-2.3 Distilled") as demo:
 
     prepare_lora_btn.click(
         fn=prepare_lora_cache,
-        inputs=[pose_strength, general_strength, motion_strength, dreamlay_strength, mself_strength, dramatic_strength, fluid_strength, liquid_strength, demopose_strength, voice_strength, realism_strength, transition_strength, physics_strength, reasoning_strength, twostep_strength],
+        inputs=[teneros_strength, sulphur_strength, pose_strength, general_strength, motion_strength, dreamlay_strength, mself_strength, dramatic_strength, fluid_strength, liquid_strength, demopose_strength, voice_strength, realism_strength, transition_strength, physics_strength, reasoning_strength, twostep_strength],
         outputs=[lora_status],
     )
     
@@ -907,7 +886,7 @@ with gr.Blocks(title="LTX-2.3 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, dreamlay_strength, mself_strength, dramatic_strength, fluid_strength, liquid_strength, demopose_strength, voice_strength, realism_strength, transition_strength, physics_strength, reasoning_strength, twostep_strength,
+            teneros_strength, sulphur_strength, pose_strength, general_strength, motion_strength, dreamlay_strength, mself_strength, dramatic_strength, fluid_strength, liquid_strength, demopose_strength, voice_strength, realism_strength, transition_strength, physics_strength, reasoning_strength, twostep_strength,
         ],
         outputs=[output_video, seed],
     )