tin2tin

import os
import torch
import gc
from diffusers import WanImageToVideoPipeline, WanTransformer3DModel
from diffusers.utils import export_to_video, load_image
from transformers import BitsAndBytesConfig
from PIL import Image

# --- FIX FOR COMPILE CRASHES ON WINDOWS/BNB ---
# This prevents the "UserDefinedObjectVariable" error by falling back 

tin2tin

import os
import torch
import gc
from diffusers import WanPipeline, WanTransformer3DModel, FlowMatchEulerDiscreteScheduler
from diffusers.utils import export_to_video
from transformers import BitsAndBytesConfig

# ==========================================
# 1. USER SETTINGS
# ==========================================

tin2tin

import os
import torch
import gc
from diffusers import WanPipeline, WanTransformer3DModel
from diffusers.utils import export_to_video
from transformers import BitsAndBytesConfig

# ==========================================
# 1. SETTINGS
# ==========================================

tin2tin

import os
import torch
import gc
from diffusers import WanImageToVideoPipeline, WanTransformer3DModel
from diffusers.utils import export_to_video, load_image
from transformers import BitsAndBytesConfig
from PIL import Image

PROMPT = "A cinematic shot of a white cat surfing on a wave, wearing sunglasses, sunny beach background, high quality, 4k"
NEGATIVE_PROMPT = "low quality, bad hands, distorted, blur, motion artifacts"

tin2tin

bl_info = {
    "name": "AI Audio Generation Queue",
    "author": "Your Name (and contributors to the original code)",
    "version": (1, 0, 24), # No functional change for this issue, version kept
    "blender": (3, 4, 0),
    "location": "Video Sequence Editor > Sidebar (N-Panel) > AI Tools",
    "description": "Adds audio generation jobs to a queue, processes them asynchronously, and adds results to the VSE.",
    "warning": "Alpha version. Requires manual installation of AI model dependencies. Check console for errors.",
    "doc_url": "https://your-documentation-link-here.com",
    "category": "Sequencer",

tin2tin

# ruff: noqa: F401, F821
# Above allows ruff to ignore F401: unused import (some imports are conditional)
# F821: undefined name (bpy is defined when run in Blender)

bl_info = {
    "name": "F5/E2 TTS Synthesis", # Restore original name
    "author": "Based on SWivid/F5-TTS Gradio Demo (Modified)",
    "version": (1, 0, 12), # Increment version for fixes
    "blender": (4, 1, 0), # Adjust Blender version if needed (current script aims for >=4.1)
    "location": "Sequence Editor > Sidebar > F5/E2 TTS",

tin2tin

bl_info = {
    "name": "VSE LUT to Curve Modifier",
    "blender": (3, 0, 0),
    "category": "Sequencer",
    "description": "Import .cube LUT and apply RGB curves with optional desaturation via Hue Correction",
    "author": "tintwotin",
    "version": (1, 10),
    "location": "Sequencer > Add > Effects > LUT (Cube File)",
}

tin2tin

import bpy
from bpy.props import StringProperty


class TEST_PT_layout_panel(bpy.types.Panel):
    bl_label = "VSE Strip Picker"
    bl_category = "Test Panel"
    bl_space_type = 'PROPERTIES'
    bl_region_type = 'WINDOW'
    bl_context = "scene"

tin2tin

import csv
import requests

def debug_print(*args):
    print(*args)

def fetch_video_result(file_id, api_key, output_file_name):
    debug_print("File ID:", file_id)
    debug_print("Out file name:", output_file_name)
    debug_print("---------------Video generated successfully, downloading now---------------")

tin2tin

import bpy
import subprocess
import threading
import re


# Function to parse progress from subprocess output
def parse_progress(line):
    """
    Parses progress information from a line of output.