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Update app.py
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app.py
CHANGED
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@@ -332,25 +332,33 @@ LORA_REPO = "dagloop5/LoRA"
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print("=" * 80)
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print("Downloading LoRA adapters from dagloop5/LoRA...")
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print("=" * 80)
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pose_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2_3_NSFW_furry_concat_v2.safetensors")
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twod_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_2d_NSFW_motion_enhancer.safetensors") # 2d style animation
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general_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_reasoning_I2V_V3.safetensors")
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motion_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Sulphur_LTX 2.3_better _NSFW_motion.safetensors")
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dreamlay_lora_path = hf_hub_download(repo_id="lynaNSFW/DR34ML4Y_AIO_NSFW_LTX23", filename="DR34ML4Y_LTXXX_V2.safetensors") # m15510n4ry, bl0wj0b, d0ubl3_bj, d0gg1e, c0wg1rl
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mself_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Furry Hyper Masturbation - LTX-2 I2V v1.safetensors") # Hyperfap
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dramatic_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2.3 - Orgasm.safetensors") #
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fluid_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Cr3ampi3_animation_sulphur-2_i2v_v1.0.safetensors") # cr3ampi3 animation
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liquid_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="liquid_wet_dr1pp_ltx2_v1.0_scaled.safetensors") # wet dr1pp
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demopose_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="clapping-cheeks-audio-v001-alpha.safetensors")
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voice_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="
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realism_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="FurryenhancerLTX2.3V4.094fused.safetensors")
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transition_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2_takerpov_lora_v1.2.safetensors") # takerpov1, taker pov
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physics_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_Physics_V2_000002000.safetensors")
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reasoning_lora_path = hf_hub_download(repo_id="LiconStudio/Ltx2.3-VBVR-lora-I2V", filename="Ltx2.3-Licon-VBVR-I2V-390K-R32.safetensors")
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twostep_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_Multi_step_video_reasoning_V0.1.safetensors")
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print(f"Pose LoRA: {pose_lora_path}")
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print(f"twod LoRA: {twod_lora_path}")
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print(f"General LoRA: {general_lora_path}")
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print(f"Motion LoRA: {motion_lora_path}")
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print(f"Dreamlay LoRA: {dreamlay_lora_path}")
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@@ -365,6 +373,12 @@ print(f"Transition LoRA: {transition_lora_path}")
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print(f"Physics LoRA: {physics_lora_path}")
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print(f"Reasoning LoRA: {reasoning_lora_path}")
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print(f"Twostep LoRA: {twostep_lora_path}")
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print(f"Checkpoint: {checkpoint_path}")
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print(f"Spatial upsampler: {spatial_upsampler_path}")
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@@ -378,9 +392,10 @@ pipeline = LTX23DistilledA2VPipeline(
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quantization=QuantizationPolicy.fp8_cast(),
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)
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def _make_lora_key(
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rp = round(float(pose_strength), 2)
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ra = round(float(twod_strength), 2)
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rg = round(float(general_strength), 2)
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rm = round(float(motion_strength), 2)
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rd = round(float(dreamlay_strength), 2)
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@@ -395,14 +410,21 @@ def _make_lora_key(pose_strength: float, twod_strength: float, general_strength:
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ry = round(float(physics_strength), 2)
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ri = round(float(reasoning_strength), 2)
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rw = round(float(twostep_strength), 2)
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key = hashlib.sha256(key_str.encode("utf-8")).hexdigest()
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return key, key_str
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def prepare_lora_cache(
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pose_strength: float,
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twod_strength: float,
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general_strength: float,
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motion_strength: float,
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dreamlay_strength: float,
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@@ -417,6 +439,12 @@ def prepare_lora_cache(
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physics_strength: float,
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reasoning_strength: float,
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twostep_strength: float,
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progress=gr.Progress(track_tqdm=True),
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):
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"""
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@@ -429,7 +457,7 @@ def prepare_lora_cache(
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global PENDING_LORA_KEY, PENDING_LORA_STATE, PENDING_LORA_STATUS
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ledger = pipeline.model_ledger
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key, _ = _make_lora_key(
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cache_path = LORA_CACHE_DIR / f"{key}.safetensors"
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progress(0.05, desc="Preparing LoRA state")
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@@ -445,8 +473,9 @@ def prepare_lora_cache(
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print(f"[LoRA] Cache load failed: {type(e).__name__}: {e}")
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entries = [
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(pose_lora_path, round(float(pose_strength), 2)),
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(twod_lora_path, round(float(twod_strength), 2)),
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(general_lora_path, round(float(general_strength), 2)),
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(motion_lora_path, round(float(motion_strength), 2)),
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(dreamlay_lora_path, round(float(dreamlay_strength), 2)),
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@@ -461,6 +490,12 @@ def prepare_lora_cache(
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(physics_lora_path, round(float(physics_strength), 2)),
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(reasoning_lora_path, round(float(reasoning_strength), 2)),
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(twostep_lora_path, round(float(twostep_strength), 2)),
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]
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loras_for_builder = [
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LoraPathStrengthAndSDOps(path, strength, LTXV_LORA_COMFY_RENAMING_MAP)
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@@ -651,8 +686,9 @@ def get_gpu_duration(
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audio_stg_scale: float = 0.0,
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audio_rescale_scale: float = 1.0,
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audio_v2a_scale: float = 3.0,
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pose_strength: float = 0.0,
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twod_strength: float = 0.0,
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general_strength: float = 0.0,
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motion_strength: float = 0.0,
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dreamlay_strength: float = 0.0,
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physics_strength: float = 0.0,
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reasoning_strength: float = 0.0,
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twostep_strength: float = 0.0,
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num_inference_steps: int = 8,
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progress=None,
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):
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audio_stg_scale: float = 0.0,
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audio_rescale_scale: float = 1.0,
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audio_v2a_scale: float = 3.0,
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pose_strength: float = 0.0,
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twod_strength: float = 0.0,
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general_strength: float = 0.0,
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motion_strength: float = 0.0,
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dreamlay_strength: float = 0.0,
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physics_strength: float = 0.0,
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reasoning_strength: float = 0.0,
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twostep_strength: float = 0.0,
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num_inference_steps: int = 8,
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progress=gr.Progress(track_tqdm=True),
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):
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with gr.Row():
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num_inference_steps = gr.Slider(
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label="
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minimum=2, maximum=
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info="Higher = more quality but slower
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)
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generate_btn = gr.Button("Generate Video", variant="primary", size="lg")
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info="Increase for longer videos, higher resolution, or LoRA usage"
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)
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gr.
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prepare_lora_btn = gr.Button("Prepare / Load LoRA Cache", variant="secondary")
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lora_status = gr.Textbox(
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prepare_lora_btn.click(
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fn=prepare_lora_cache,
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inputs=[
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mself_strength, dramatic_strength, fluid_strength, liquid_strength,
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demopose_strength, voice_strength, realism_strength, transition_strength, physics_strength, reasoning_strength, twostep_strength],
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outputs=[lora_status],
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)
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enhance_prompt, seed, randomize_seed, height, width,
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video_cfg_scale, video_stg_scale, video_rescale_scale, video_a2v_scale,
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audio_cfg_scale, audio_stg_scale, audio_rescale_scale, audio_v2a_scale,
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dreamlay_strength, mself_strength, dramatic_strength, fluid_strength,
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liquid_strength, demopose_strength, voice_strength, realism_strength,
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transition_strength, physics_strength, reasoning_strength, twostep_strength, num_inference_steps,
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],
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outputs=[output_video, seed],
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)
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print("=" * 80)
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print("Downloading LoRA adapters from dagloop5/LoRA...")
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print("=" * 80)
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singularity_lora_path = hf_hub_download(repo_id="TenStrip/LTX2.3_JoyAI_Lora_Extracted", filename="JoyAI-Echo_r256.safetensors")
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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")
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pose_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2_3_NSFW_furry_concat_v2.safetensors")
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general_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_reasoning_I2V_V3.safetensors")
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motion_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Sulphur_LTX 2.3_better _NSFW_motion.safetensors")
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dreamlay_lora_path = hf_hub_download(repo_id="lynaNSFW/DR34ML4Y_AIO_NSFW_LTX23", filename="DR34ML4Y_LTXXX_V2.safetensors") # m15510n4ry, bl0wj0b, d0ubl3_bj, d0gg1e, c0wg1rl
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mself_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Furry Hyper Masturbation - LTX-2 I2V v1.safetensors") # Hyperfap
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dramatic_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2.3 - Orgasm.safetensors") # buddr
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fluid_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Cr3ampi3_animation_sulphur-2_i2v_v1.0.safetensors") # cr3ampi3 animation
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liquid_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="liquid_wet_dr1pp_ltx2_v1.0_scaled.safetensors") # wet dr1pp
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demopose_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="clapping-cheeks-audio-v001-alpha.safetensors")
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voice_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="hentai_voice_ltx23_v2.comfy.safetensors")
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realism_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="FurryenhancerLTX2.3V4.094fused.safetensors")
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transition_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2_takerpov_lora_v1.2.safetensors") # takerpov1, taker pov
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physics_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_Physics_V2_000002000.safetensors")
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reasoning_lora_path = hf_hub_download(repo_id="LiconStudio/Ltx2.3-VBVR-lora-I2V", filename="Ltx2.3-Licon-VBVR-I2V-390K-R32.safetensors")
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twostep_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX2.3_Multi_step_video_reasoning_V0.1.safetensors")
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mcfurry_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="LTX-2_3_mc_Furry_realistic_lora_v1.safetensors")
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dm_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Doggy_mission_sulphur-2_v0.5.safetensors")
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praxis_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="Penile_Praxis_V4.safetensors")
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threed_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="ltx2-3d-animations-12500-steps-k3nk.safetensors")
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concept_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="ltx23_nsfw_helper_multi_concept_lora_v2.safetensors")
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bulge_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="stomach_bulge_10eros_sulphur_v1.safetensors")
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print(f"Singularity LoRA: {singularity_lora_path}")
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print(f"10Eros LoRA: {teneros_lora_path}")
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print(f"Pose LoRA: {pose_lora_path}")
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print(f"General LoRA: {general_lora_path}")
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print(f"Motion LoRA: {motion_lora_path}")
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print(f"Dreamlay LoRA: {dreamlay_lora_path}")
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print(f"Physics LoRA: {physics_lora_path}")
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print(f"Reasoning LoRA: {reasoning_lora_path}")
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print(f"Twostep LoRA: {twostep_lora_path}")
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print(f"Mcfurry LoRA: {mcfurry_lora_path}")
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print(f"DM LoRA: {dm_lora_path}")
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print(f"Praxis LoRA: {praxis_lora_path}")
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print(f"ThreeD LoRA: {threed_lora_path}")
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print(f"Concept LoRA: {concept_lora_path}")
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print(f"Bulge LoRA: {bulge_lora_path}")
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print(f"Checkpoint: {checkpoint_path}")
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print(f"Spatial upsampler: {spatial_upsampler_path}")
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quantization=QuantizationPolicy.fp8_cast(),
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)
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| 395 |
+
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]:
|
| 396 |
+
rx = round(float(singularity_strength), 2)
|
| 397 |
+
ra = round(float(teneros_strength), 2)
|
| 398 |
rp = round(float(pose_strength), 2)
|
|
|
|
| 399 |
rg = round(float(general_strength), 2)
|
| 400 |
rm = round(float(motion_strength), 2)
|
| 401 |
rd = round(float(dreamlay_strength), 2)
|
|
|
|
| 410 |
ry = round(float(physics_strength), 2)
|
| 411 |
ri = round(float(reasoning_strength), 2)
|
| 412 |
rw = round(float(twostep_strength), 2)
|
| 413 |
+
mc = round(float(mcfurry_strength), 2)
|
| 414 |
+
dm = round(float(dm_strength), 2)
|
| 415 |
+
pr = round(float(praxis_strength), 2)
|
| 416 |
+
td = round(float(threed_strength), 2)
|
| 417 |
+
co = round(float(concept_strength), 2)
|
| 418 |
+
bu = round(float(bulge_strength), 2)
|
| 419 |
+
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}"
|
| 420 |
key = hashlib.sha256(key_str.encode("utf-8")).hexdigest()
|
| 421 |
return key, key_str
|
| 422 |
|
| 423 |
|
| 424 |
def prepare_lora_cache(
|
| 425 |
+
singularity_strength: float,
|
| 426 |
+
teneros_strength: float,
|
| 427 |
pose_strength: float,
|
|
|
|
| 428 |
general_strength: float,
|
| 429 |
motion_strength: float,
|
| 430 |
dreamlay_strength: float,
|
|
|
|
| 439 |
physics_strength: float,
|
| 440 |
reasoning_strength: float,
|
| 441 |
twostep_strength: float,
|
| 442 |
+
mcfurry_strength: float,
|
| 443 |
+
dm_strength: float,
|
| 444 |
+
praxis_strength: float,
|
| 445 |
+
threed_strength: float,
|
| 446 |
+
concept_strength: float,
|
| 447 |
+
bulge_strength: float,
|
| 448 |
progress=gr.Progress(track_tqdm=True),
|
| 449 |
):
|
| 450 |
"""
|
|
|
|
| 457 |
global PENDING_LORA_KEY, PENDING_LORA_STATE, PENDING_LORA_STATUS
|
| 458 |
|
| 459 |
ledger = pipeline.model_ledger
|
| 460 |
+
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)
|
| 461 |
cache_path = LORA_CACHE_DIR / f"{key}.safetensors"
|
| 462 |
|
| 463 |
progress(0.05, desc="Preparing LoRA state")
|
|
|
|
| 473 |
print(f"[LoRA] Cache load failed: {type(e).__name__}: {e}")
|
| 474 |
|
| 475 |
entries = [
|
| 476 |
+
(singularity_lora_path, round(float(singularity_strength), 2)),
|
| 477 |
+
(teneros_lora_path, round(float(teneros_strength), 2)),
|
| 478 |
(pose_lora_path, round(float(pose_strength), 2)),
|
|
|
|
| 479 |
(general_lora_path, round(float(general_strength), 2)),
|
| 480 |
(motion_lora_path, round(float(motion_strength), 2)),
|
| 481 |
(dreamlay_lora_path, round(float(dreamlay_strength), 2)),
|
|
|
|
| 490 |
(physics_lora_path, round(float(physics_strength), 2)),
|
| 491 |
(reasoning_lora_path, round(float(reasoning_strength), 2)),
|
| 492 |
(twostep_lora_path, round(float(twostep_strength), 2)),
|
| 493 |
+
(mcfurry_lora_path, round(float(mcfurry_strength), 2)),
|
| 494 |
+
(dm_lora_path, round(float(dm_strength), 2)),
|
| 495 |
+
(praxis_lora_path, round(float(praxis_strength), 2)),
|
| 496 |
+
(threed_lora_path, round(float(threed_strength), 2)),
|
| 497 |
+
(concept_lora_path, round(float(concept_strength), 2)),
|
| 498 |
+
(bulge_lora_path, round(float(bulge_strength), 2)),
|
| 499 |
]
|
| 500 |
loras_for_builder = [
|
| 501 |
LoraPathStrengthAndSDOps(path, strength, LTXV_LORA_COMFY_RENAMING_MAP)
|
|
|
|
| 686 |
audio_stg_scale: float = 0.0,
|
| 687 |
audio_rescale_scale: float = 1.0,
|
| 688 |
audio_v2a_scale: float = 3.0,
|
| 689 |
+
singularity_strength: float = 0.0,
|
| 690 |
+
teneros_strength: float = 0.0,
|
| 691 |
pose_strength: float = 0.0,
|
|
|
|
| 692 |
general_strength: float = 0.0,
|
| 693 |
motion_strength: float = 0.0,
|
| 694 |
dreamlay_strength: float = 0.0,
|
|
|
|
| 703 |
physics_strength: float = 0.0,
|
| 704 |
reasoning_strength: float = 0.0,
|
| 705 |
twostep_strength: float = 0.0,
|
| 706 |
+
mcfurry_strength: float = 0.0,
|
| 707 |
+
dm_strength: float = 0.0,
|
| 708 |
+
praxis_strength: float = 0.0,
|
| 709 |
+
threed_strength: float = 0.0,
|
| 710 |
+
concept_strength: float = 0.0,
|
| 711 |
+
bulge_strength: float = 0.0,
|
| 712 |
num_inference_steps: int = 8,
|
| 713 |
progress=None,
|
| 714 |
):
|
|
|
|
| 737 |
audio_stg_scale: float = 0.0,
|
| 738 |
audio_rescale_scale: float = 1.0,
|
| 739 |
audio_v2a_scale: float = 3.0,
|
| 740 |
+
singularity_strength: float = 0.0,
|
| 741 |
+
teneros_strength: float = 0.0,
|
| 742 |
pose_strength: float = 0.0,
|
|
|
|
| 743 |
general_strength: float = 0.0,
|
| 744 |
motion_strength: float = 0.0,
|
| 745 |
dreamlay_strength: float = 0.0,
|
|
|
|
| 754 |
physics_strength: float = 0.0,
|
| 755 |
reasoning_strength: float = 0.0,
|
| 756 |
twostep_strength: float = 0.0,
|
| 757 |
+
mcfurry_strength: float = 0.0,
|
| 758 |
+
dm_strength: float = 0.0,
|
| 759 |
+
praxis_strength: float = 0.0,
|
| 760 |
+
threed_strength: float = 0.0,
|
| 761 |
+
concept_strength: float = 0.0,
|
| 762 |
+
bulge_strength: float = 0.0,
|
| 763 |
num_inference_steps: int = 8,
|
| 764 |
progress=gr.Progress(track_tqdm=True),
|
| 765 |
):
|
|
|
|
| 912 |
|
| 913 |
with gr.Row():
|
| 914 |
num_inference_steps = gr.Slider(
|
| 915 |
+
label="Inference Steps",
|
| 916 |
+
minimum=2, maximum=32, value=8, step=1,
|
| 917 |
+
info="Higher = more quality but slower"
|
| 918 |
)
|
| 919 |
|
| 920 |
generate_btn = gr.Button("Generate Video", variant="primary", size="lg")
|
|
|
|
| 968 |
info="Increase for longer videos, higher resolution, or LoRA usage"
|
| 969 |
)
|
| 970 |
|
| 971 |
+
singularity_strength = gr.Slider(
|
| 972 |
+
label="Singularity Lora strength",
|
| 973 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 974 |
+
)
|
| 975 |
+
teneros_strength = gr.Slider(
|
| 976 |
+
label="10Eros Lora strength",
|
| 977 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 978 |
+
)
|
| 979 |
+
pose_strength = gr.Slider(
|
| 980 |
+
label="Anthro Enhancer strength",
|
| 981 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 982 |
+
)
|
| 983 |
+
general_strength = gr.Slider(
|
| 984 |
+
label="Reasoning Enhancer strength",
|
| 985 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 986 |
+
)
|
| 987 |
+
motion_strength = gr.Slider(
|
| 988 |
+
label="Anthro Posing Helper strength",
|
| 989 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 990 |
+
)
|
| 991 |
+
dreamlay_strength = gr.Slider(
|
| 992 |
+
label="Dreamlay strength",
|
| 993 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 994 |
+
)
|
| 995 |
+
mself_strength = gr.Slider(
|
| 996 |
+
label="Mself strength",
|
| 997 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 998 |
+
)
|
| 999 |
+
dramatic_strength = gr.Slider(
|
| 1000 |
+
label="Dramatic strength",
|
| 1001 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1002 |
+
)
|
| 1003 |
+
fluid_strength = gr.Slider(
|
| 1004 |
+
label="Fluid Helper strength",
|
| 1005 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1006 |
+
)
|
| 1007 |
+
liquid_strength = gr.Slider(
|
| 1008 |
+
label="Liquid Helper strength",
|
| 1009 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1010 |
+
)
|
| 1011 |
+
demopose_strength = gr.Slider(
|
| 1012 |
+
label="Audio Helper strength",
|
| 1013 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1014 |
+
)
|
| 1015 |
+
voice_strength = gr.Slider(
|
| 1016 |
+
label="Voice Helper strength",
|
| 1017 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1018 |
+
)
|
| 1019 |
+
realism_strength = gr.Slider(
|
| 1020 |
+
label="Anthro Realism strength",
|
| 1021 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1022 |
+
)
|
| 1023 |
+
transition_strength = gr.Slider(
|
| 1024 |
+
label="POV strength",
|
| 1025 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1026 |
+
)
|
| 1027 |
+
physics_strength = gr.Slider(
|
| 1028 |
+
label="Physics strength",
|
| 1029 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1030 |
+
)
|
| 1031 |
+
reasoning_strength = gr.Slider(
|
| 1032 |
+
label="Official Reasoning strength",
|
| 1033 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1034 |
+
)
|
| 1035 |
+
twostep_strength = gr.Slider(
|
| 1036 |
+
label="Two Step Reasoning strength",
|
| 1037 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1038 |
+
)
|
| 1039 |
+
mcfurry_strength = gr.Slider(
|
| 1040 |
+
label="t2v anthro realism strength",
|
| 1041 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1042 |
+
)
|
| 1043 |
+
dm_strength = gr.Slider(
|
| 1044 |
+
label="DM3D strength",
|
| 1045 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1046 |
+
)
|
| 1047 |
+
praxis_strength = gr.Slider(
|
| 1048 |
+
label="Praxis strength",
|
| 1049 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1050 |
+
)
|
| 1051 |
+
threed_strength = gr.Slider(
|
| 1052 |
+
label="3D animation strength",
|
| 1053 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1054 |
+
)
|
| 1055 |
+
concept_strength = gr.Slider(
|
| 1056 |
+
label="Conceptual strength",
|
| 1057 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1058 |
+
)
|
| 1059 |
+
bulge_strength = gr.Slider(
|
| 1060 |
+
label="Bulge strength",
|
| 1061 |
+
minimum=0.0, maximum=2.0, value=0.0, step=0.01
|
| 1062 |
+
)
|
| 1063 |
|
| 1064 |
prepare_lora_btn = gr.Button("Prepare / Load LoRA Cache", variant="secondary")
|
| 1065 |
lora_status = gr.Textbox(
|
|
|
|
| 1075 |
|
| 1076 |
prepare_lora_btn.click(
|
| 1077 |
fn=prepare_lora_cache,
|
| 1078 |
+
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],
|
|
|
|
|
|
|
| 1079 |
outputs=[lora_status],
|
| 1080 |
)
|
| 1081 |
|
|
|
|
| 1086 |
enhance_prompt, seed, randomize_seed, height, width,
|
| 1087 |
video_cfg_scale, video_stg_scale, video_rescale_scale, video_a2v_scale,
|
| 1088 |
audio_cfg_scale, audio_stg_scale, audio_rescale_scale, audio_v2a_scale,
|
| 1089 |
+
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, num_inference_steps,
|
|
|
|
|
|
|
|
|
|
| 1090 |
],
|
| 1091 |
outputs=[output_video, seed],
|
| 1092 |
)
|