Rename app(old).py to app.py

app(old).py → app.py

@@ -233,7 +233,7 @@ weights_dir = Path("weights")
 weights_dir.mkdir(exist_ok=True)
 checkpoint_path = hf_hub_download(
     repo_id="TenStrip/LTX2.3-10Eros",
-    filename="10Eros_v1_bf16.safetensors",
+    filename="10Eros_v1.2_bf16.safetensors",
     local_dir=str(weights_dir),
     local_dir_use_symlinks=False,
 )
@@ -248,27 +248,33 @@ LORA_REPO = "dagloop5/LoRA"
 print("=" * 80)
 print("Downloading LoRA adapters from dagloop5/LoRA...")
 print("=" * 80)
-distilled_lora_path = hf_hub_download(repo_id="TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments", filename="ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors")
+singularity_lora_path = hf_hub_download(repo_id="TenStrip/LTX2.3_JoyAI_Lora_Extracted", filename="JoyAI-Echo_r256.safetensors")
+teneros_lora_path = hf_hub_download(repo_id="TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments", filename="ltx-2.3-22b-distilled-lora-1.1_fro90_ceil52_condsafe.safetensors")
 pose_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2_3_NSFW_furry_concat_v2.safetensors")
-twod_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_2d_NSFW_motion_enhancer.safetensors") # 2d style animation
 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")
 dreamlay_lora_path = hf_hub_download(repo_id="lynaNSFW/DR34ML4Y_AIO_NSFW_LTX23", filename="DR34ML4Y_LTXXX_V2.safetensors") # m15510n4ry, bl0wj0b, d0ubl3_bj, d0gg1e, c0wg1rl
 mself_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Furry Hyper Masturbation - LTX-2 I2V v1.safetensors") # Hyperfap
-dramatic_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2.3 - Orgasm.safetensors") # "[He | She] is having am orgasm." (am or an?)
+dramatic_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2.3 - Orgasm.safetensors") # buddr
 fluid_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Cr3ampi3_animation_sulphur-2_i2v_v1.0.safetensors") # cr3ampi3 animation
 liquid_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="liquid_wet_dr1pp_ltx2_v1.0_scaled.safetensors") # wet dr1pp
 demopose_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="clapping-cheeks-audio-v001-alpha.safetensors")
-voice_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="hentai_voice_ltx23.safetensors")
+voice_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="hentai_voice_ltx23_v2.comfy.safetensors")
 realism_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="FurryenhancerLTX2.3V4.094fused.safetensors")
 transition_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2_takerpov_lora_v1.2.safetensors") # takerpov1, taker pov
 physics_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_Physics_V2_000002000.safetensors")
 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"Distilled LoRA: {distilled_lora_path}")
+mcfurry_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2_3_mc_Furry_realistic_lora_v1.safetensors")
+dm_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Doggy_mission_sulphur-2_v0.5.safetensors")
+praxis_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Penile_Praxis_V4.safetensors")
+threed_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="ltx2-3d-animations-12500-steps-k3nk.safetensors")
+concept_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="ltx23_nsfw_helper_multi_concept_lora_v2.safetensors")
+bulge_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="stomach_bulge_10eros_sulphur_v1.safetensors")
+
+print(f"Singularity LoRA: {singularity_lora_path}")
+print(f"10Eros LoRA: {teneros_lora_path}")
 print(f"Pose LoRA: {pose_lora_path}")
-print(f"twod LoRA: {twod_lora_path}")
 print(f"General LoRA: {general_lora_path}")
 print(f"Motion LoRA: {motion_lora_path}")
 print(f"Dreamlay LoRA: {dreamlay_lora_path}")
@@ -283,6 +289,12 @@ print(f"Transition LoRA: {transition_lora_path}")
 print(f"Physics LoRA: {physics_lora_path}")
 print(f"Reasoning LoRA: {reasoning_lora_path}")
 print(f"Twostep LoRA: {twostep_lora_path}")
+print(f"Mcfurry LoRA: {mcfurry_lora_path}")
+print(f"DM LoRA: {dm_lora_path}")
+print(f"Praxis LoRA: {praxis_lora_path}")
+print(f"ThreeD LoRA: {threed_lora_path}")
+print(f"Concept LoRA: {concept_lora_path}")
+print(f"Bulge LoRA: {bulge_lora_path}")
 
 print(f"Checkpoint: {checkpoint_path}")
 print(f"Spatial upsampler: {spatial_upsampler_path}")
@@ -299,10 +311,10 @@ pipeline = LTX23DistilledA2VPipeline(
 )
 # ----------------------------------------------------------------
 
-def _make_lora_key(distilled_strength: float, pose_strength: float, twod_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]:
-    rx = round(float(distilled_strength), 2)
+def _make_lora_key(singularity_strength: float, teneros_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, mcfurry_strength: float, dm_strength: float, praxis_strength: float, threed_strength: float, concept_strength: float, bulge_strength: float) -> tuple[str, str]:
+    rx = round(float(singularity_strength), 2)
+    ra = round(float(teneros_strength), 2)
     rp = round(float(pose_strength), 2)
-    ra = round(float(twod_strength), 2)
     rg = round(float(general_strength), 2)
     rm = round(float(motion_strength), 2)
     rd = round(float(dreamlay_strength), 2)
@@ -317,15 +329,21 @@ def _make_lora_key(distilled_strength: float, pose_strength: float, twod_strengt
     ry = round(float(physics_strength), 2)
     ri = round(float(reasoning_strength), 2)
     rw = round(float(twostep_strength), 2)
-    key_str = f"{distilled_lora_path}:{rx}|{pose_lora_path}:{rp}|{twod_lora_path}:{ra}|{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}"
+    mc = round(float(mcfurry_strength), 2)
+    dm = round(float(dm_strength), 2)
+    pr = round(float(praxis_strength), 2)
+    td = round(float(threed_strength), 2)
+    co = round(float(concept_strength), 2)
+    bu = round(float(bulge_strength), 2)
+    key_str = f"{singularity_lora_path}:{rx}|{teneros_lora_path}:{ra}|{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}|{mcfurry_lora_path}:{mc}|{dm_lora_path}:{dm}|{praxis_lora_path}:{pr}|{threed_lora_path}:{td}|{concept_lora_path}:{co}|{bulge_lora_path}:{bu}"
     key = hashlib.sha256(key_str.encode("utf-8")).hexdigest()
     return key, key_str
 
 
 def prepare_lora_cache(
-    distilled_strength: float,
+    singularity_strength: float,
+    teneros_strength: float,
     pose_strength: float,
-    twod_strength: float,
     general_strength: float,
     motion_strength: float,
     dreamlay_strength: float,
@@ -340,6 +358,12 @@ def prepare_lora_cache(
     physics_strength: float,
     reasoning_strength: float,
     twostep_strength: float,
+    mcfurry_strength: float,
+    dm_strength: float,
+    praxis_strength: float,
+    threed_strength: float,
+    concept_strength: float,
+    bulge_strength: float,
     progress=gr.Progress(track_tqdm=True),
 ):
     """
@@ -352,7 +376,7 @@ def prepare_lora_cache(
     global PENDING_LORA_KEY, PENDING_LORA_STATE, PENDING_LORA_STATUS
 
     ledger = pipeline.model_ledger
-    key, _ = _make_lora_key(distilled_strength, pose_strength, twod_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(singularity_strength, teneros_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, mcfurry_strength, dm_strength, praxis_strength, threed_strength, concept_strength, bulge_strength)
     cache_path = LORA_CACHE_DIR / f"{key}.safetensors"
 
     progress(0.05, desc="Preparing LoRA state")
@@ -368,9 +392,9 @@ def prepare_lora_cache(
             print(f"[LoRA] Cache load failed: {type(e).__name__}: {e}")
 
     entries = [
-        (distilled_lora_path, round(float(distilled_strength), 2)),
+        (singularity_lora_path, round(float(singularity_strength), 2)),
+        (teneros_lora_path, round(float(teneros_strength), 2)),
         (pose_lora_path, round(float(pose_strength), 2)),
-        (twod_lora_path, round(float(twod_strength), 2)),
         (general_lora_path, round(float(general_strength), 2)),
         (motion_lora_path, round(float(motion_strength), 2)),
         (dreamlay_lora_path, round(float(dreamlay_strength), 2)),
@@ -385,6 +409,12 @@ def prepare_lora_cache(
         (physics_lora_path, round(float(physics_strength), 2)),
         (reasoning_lora_path, round(float(reasoning_strength), 2)),
         (twostep_lora_path, round(float(twostep_strength), 2)),
+        (mcfurry_lora_path, round(float(mcfurry_strength), 2)),
+        (dm_lora_path, round(float(dm_strength), 2)),
+        (praxis_lora_path, round(float(praxis_strength), 2)),
+        (threed_lora_path, round(float(threed_strength), 2)),
+        (concept_lora_path, round(float(concept_strength), 2)),
+        (bulge_lora_path, round(float(bulge_strength), 2)),
     ]
     loras_for_builder = [
         LoraPathStrengthAndSDOps(path, strength, LTXV_LORA_COMFY_RENAMING_MAP)
@@ -568,9 +598,9 @@ def get_gpu_duration(
     randomize_seed: bool = True,
     height: int = 1024,
     width: int = 1536,
-    distilled_strength: float = 0.0,
+    singularity_strength: float = 0.0,
+    teneros_strength: float = 0.0,
     pose_strength: float = 0.0,
-    twod_strength: float = 0.0,
     general_strength: float = 0.0,
     motion_strength: float = 0.0,
     dreamlay_strength: float = 0.0,
@@ -585,6 +615,12 @@ def get_gpu_duration(
     physics_strength: float = 0.0,
     reasoning_strength: float = 0.0,
     twostep_strength: float = 0.0,
+    mcfurry_strength: float = 0.0,
+    dm_strength: float = 0.0,
+    praxis_strength: float = 0.0,
+    threed_strength: float = 0.0,
+    concept_strength: float = 0.0,
+    bulge_strength: float = 0.0,
     progress=None,
 ):
     return int(gpu_duration)
@@ -602,9 +638,9 @@ def generate_video(
     randomize_seed: bool = True,
     height: int = 1024,
     width: int = 1536,
-    distilled_strength: float = 0.0,
+    singularity_strength: float = 0.0,
+    teneros_strength: float = 0.0,
     pose_strength: float = 0.0,
-    twod_strength: float = 0.0,
     general_strength: float = 0.0,
     motion_strength: float = 0.0,
     dreamlay_strength: float = 0.0,
@@ -619,6 +655,12 @@ def generate_video(
     physics_strength: float = 0.0,
     reasoning_strength: float = 0.0,
     twostep_strength: float = 0.0,
+    mcfurry_strength: float = 0.0,
+    dm_strength: float = 0.0,
+    praxis_strength: float = 0.0,
+    threed_strength: float = 0.0,
+    concept_strength: float = 0.0,
+    bulge_strength: float = 0.0,
     progress=gr.Progress(track_tqdm=True),
 ):
     try:
@@ -725,16 +767,16 @@ 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)")
-                    distilled_strength = gr.Slider(
-                        label="Distilled LoRA strength",
+                    singularity_strength = gr.Slider(
+                        label="JoyAI Lora strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
-                    pose_strength = gr.Slider(
-                        label="Anthro Enhancer strength",
+                    teneros_strength = gr.Slider(
+                        label="10Eros Distilled Lora strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
-                    twod_strength = gr.Slider(
-                        label="2D animation style strength",
+                    pose_strength = gr.Slider(
+                        label="Anthro Enhancer strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
                     general_strength = gr.Slider(
@@ -790,7 +832,31 @@ with gr.Blocks(title="LTX-2.3 Distilled") as demo:
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
                     twostep_strength = gr.Slider(
-                        label="Multistep Reasoning strength",
+                        label="Two Step Reasoning strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
+                    mcfurry_strength = gr.Slider(
+                        label="t2v anthro realism strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
+                    dm_strength = gr.Slider(
+                        label="DM3D strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
+                    praxis_strength = gr.Slider(
+                        label="Praxis strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
+                    threed_strength = gr.Slider(
+                        label="3D animation strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
+                    concept_strength = gr.Slider(
+                        label="Conceptual strength",
+                        minimum=0.0, maximum=2.0, value=0.0, step=0.01
+                    )
+                    bulge_strength = gr.Slider(
+                        label="Bulge strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
                 prepare_lora_btn = gr.Button("Prepare / Load LoRA Cache", variant="secondary")
@@ -830,7 +896,7 @@ with gr.Blocks(title="LTX-2.3 Distilled") as demo:
 
     prepare_lora_btn.click(
         fn=prepare_lora_cache,
-        inputs=[distilled_strength, pose_strength, twod_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=[singularity_strength, teneros_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, mcfurry_strength, dm_strength, praxis_strength, threed_strength, concept_strength, bulge_strength],
         outputs=[lora_status],
     )
     
@@ -839,7 +905,7 @@ with gr.Blocks(title="LTX-2.3 Distilled") as demo:
         inputs=[
             first_image, last_image, prompt, duration, gpu_duration, enhance_prompt,
             seed, randomize_seed, height, width,
-            distilled_strength, pose_strength, twod_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,
+            singularity_strength, teneros_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, mcfurry_strength, dm_strength, praxis_strength, threed_strength, concept_strength, bulge_strength,
         ],
         outputs=[output_video, seed],
     )