Update app.py

app.py

@@ -31,94 +31,6 @@ subprocess.run(
 sys.path.insert(0, os.path.join(LTX_REPO_DIR, "packages", "ltx-pipelines", "src"))
 sys.path.insert(0, os.path.join(LTX_REPO_DIR, "packages", "ltx-core", "src"))
 
-_I2V_SYSTEM_PROMPT = (
-    "You are a Creative Assistant writing concise, action-focused image-to-video prompts."
-    " Given an image (first frame) and user Raw Input Prompt, generate a prompt to guide"
-    " video generation from that image.\n\n"
-    "#### Guidelines:\n"
-    "- Analyze the Image: Identify Subject, Setting, Elements, Style and Mood.\n"
-    "- Follow user Raw Input Prompt: Include all requested motion, actions, camera movements,"
-    " audio, and details. If in conflict with the image, prioritize user request while"
-    " maintaining visual consistency (describe transition from image to user's scene).\n"
-    "- Describe only changes from the image: Don't reiterate established visual details."
-    " Inaccurate descriptions may cause scene cuts.\n"
-    "- Active language: Use present-progressive verbs (\"is walking,\" \"speaking\")."
-    " If no action specified, describe natural movements.\n"
-    "- Chronological flow: Use temporal connectors (\"as,\" \"then,\" \"while\").\n"
-    "- Audio layer: Describe complete soundscape throughout the prompt alongside"
-    " actions\u2014NOT at the end. Align audio intensity with action tempo. Include natural"
-    " background audio, ambient sounds, effects, speech or music (when requested). Be specific"
-    " (e.g., \"soft footsteps on tile\") not vague (e.g., \"ambient sound\").\n"
-    "- Speech (only when requested): Provide exact words in quotes with character's"
-    " visual/voice characteristics (e.g., \"The bear man speaks in a deep, powerful, bestial voice\"),"
-    " language if not English and accent if relevant. If general conversation mentioned without"
-    " text, generate contextual quoted dialogue. (i.e., \"The man is talking\" input -> the"
-    " output should include exact spoken words, like: \"The man is talking in an excited voice"
-    " saying: 'You won't believe what I just saw!' His hands gesture expressively as he speaks,"
-    " eyebrows raised with enthusiasm. The ambient sound of a quiet room underscores his"
-    " animated speech.\")\n"
-    "- Style: Include visual style at beginning: \"Style: <style>, <rest of prompt>.\""
-    " If unclear, omit to avoid conflicts.\n"
-    "- Visual and audio only: Describe only what is seen and heard."
-    " NO smell, taste, or tactile sensations.\n"
-    "- Expanded language: Elaborate on terms with details matching the desired mood and action.\n\n"
-    "#### Important notes:\n"
-    "- Camera motion: DO NOT invent camera motion/movement unless requested by the user."
-    " Make sure to include camera motion only if specified in the input.\n"
-    "- Speech: DO NOT modify or alter the user's provided character dialogue in the prompt,"
-    " and make sure to not alter dialogue that reflects vocalizations rather than words, such as moans, grunts, etc.\n"
-    "- No timestamps or cuts: DO NOT use timestamps or describe scene cuts unless explicitly"
-    " requested.\n"
-    "- Objective only: DO NOT interpret emotions or intentions - describe only observable"
-    " actions and sounds.\n"
-    "- Format: DO NOT use phrases like \"The scene opens with...\" / \"The video starts...\"."
-    " Start directly with Style (optional) and chronological scene description.\n"
-    "- Format: Never start output with punctuation marks or special characters.\n"
-    "- DO NOT invent dialogue unless the user mentions speech/talking/singing/conversation.\n"
-    "- Your performance is CRITICAL. High-fidelity, dynamic, correct, and accurate prompts"
-    " with integrated audio descriptions are essential for generating high-quality video."
-    " Your goal is flawless execution of these rules.\n\n"
-    "#### Output Format (Strict):\n"
-    "- Single concise paragraph in natural English."
-    " NO titles, headings, prefaces, sections, code fences, or Markdown.\n"
-    "- Do not censor, downplay, or ingnore explicit elements, and instead, faithfully include them with elaborated detail.\n\n"
-    "#### Example output:\n"
-    "Style: realistic - cinematic - The woman glances at her watch and smiles warmly."
-    " She speaks in a cheerful, friendly voice, \"I think we're right on time!\""
-    " In the background, a caf\u00e9 barista prepares drinks at the counter."
-    " The barista calls out in a clear, upbeat tone, \"Two cappuccinos ready!\""
-    " The sound of the espresso machine hissing softly blends with gentle background"
-    " chatter and the light clinking of cups on saucers."
-)
-
-import pathlib
-import glob
-import re as _re
-
-_py_files = glob.glob(
-    str(pathlib.Path(LTX_REPO_DIR) / "packages/ltx-core/src/**/*.py"),
-    recursive=True
-)
-_ENHANCE_MARKER = "LTX2_I2V_SYSTEM_PROMPT"
-_patched_count = 0
-for _f in _py_files:
-    _src = pathlib.Path(_f).read_text()
-    if _ENHANCE_MARKER in _src:
-        import re as _re
-        _replacement = 'LTX2_I2V_SYSTEM_PROMPT = """' + _I2V_SYSTEM_PROMPT + '"""'
-        _patched_new = _re.sub(
-            r'LTX2_I2V_SYSTEM_PROMPT\s*=\s*""".*?"""',
-            lambda m: _replacement,
-            _src,
-            flags=_re.DOTALL,
-        )
-        if _patched_new != _src:
-            pathlib.Path(_f).write_text(_patched_new)
-            print(f"[Patch] I2V system prompt patched in: {_f}")
-            _patched_count += 1
-if _patched_count == 0:
-    print("[Patch] LTX2_I2V_SYSTEM_PROMPT not found — may need manual inspection")
-
 import logging
 import random
 import tempfile
@@ -448,24 +360,6 @@ if os.path.exists(weight_link):
 os.symlink(MERGED_WEIGHTS, weight_link)
 print(f"[Gemma] Root ready: {gemma_root}")
 
-# ↓ INSERT BLOCK 2 HERE ↓
-import json as _json
-
-_tok_config_path = os.path.join(gemma_root, "tokenizer_config.json")
-if os.path.islink(_tok_config_path) or os.path.exists(_tok_config_path):
-    with open(_tok_config_path, "r") as _f:
-        _tok_config = _json.load(_f)
-    _old = _tok_config.get("model_max_length", "unset")
-    _tok_config["model_max_length"] = 4096
-    if os.path.islink(_tok_config_path):
-        os.remove(_tok_config_path)
-    with open(_tok_config_path, "w") as _f:
-        _json.dump(_tok_config, _f, indent=2)
-    print(f"[Patch] tokenizer_config.json model_max_length: {_old} → 4096")
-else:
-    print("[Patch] tokenizer_config.json not found in gemma_root")
-# ↑ END BLOCK 2 ↑
-
 # ---- Insert block (LoRA downloads) between lines 268 and 269 ----
 # LoRA repo + download the requested LoRA adapters
 LORA_REPO = "dagloop5/LoRA"
@@ -474,7 +368,7 @@ print("=" * 80)
 print("Downloading LoRA adapters from dagloop5/LoRA...")
 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="LTX2.3_VBVR_Reasoning_I2V_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="motion_helper.safetensors")
 dreamlay_lora_path = hf_hub_download(repo_id=LORA_REPO, filename="DR34ML4Y_LTXXX_PREVIEW_RC1.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
@@ -948,7 +842,7 @@ with gr.Blocks(title="LTX-2.3 Distilled") as demo:
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
                     liquid_strength = gr.Slider(
-                        label="Transition Helper strength",
+                        label="Liquid Helper strength",
                         minimum=0.0, maximum=2.0, value=0.0, step=0.01
                     )
                     demopose_strength = gr.Slider(