[BUG] Resize Keeps Changing on its own when Starting a Batch Queue, Please fix this.

[PirateLife1001]

Images do not help,...
What does the Vapoursynth Script look like? (is it vs_colorfix called?)
Does it work in the Vapoursynth Preview?
In case it's called and does not work in the Vapoursynth Preview, did you try adjusting the parameters?

I actually don't see it in the script it is not being called,, i am using same parameters as the other example, On a fresh Hybrid Launch i can find it in the script what could be causing this, Script below if you have an idea. Thanks. (Side note irrelevant, but doing vsmlrt with stepped resize 2 and CAS as sharpening in the same section results in half green video sections on encode but not in preview, already found alternative to for this, LSFMod Works)

# Imports import vapoursynth as vs # getting Vapoursynth core import site import ctypes import sys import os core = vs.core # Import scripts folder scriptPath = 'I:/AI_Upscale/Tools/Hybrid/64bit/vsscripts' sys.path.insert(0, os.path.abspath(scriptPath)) # Loading Support Files Dllref = ctypes.windll.LoadLibrary("I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/Support/libfftw3f-3.dll") os.environ["CUDA_MODULE_LOADING"] = "LAZY" # loading plugins core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/SharpenFilter/CAS/CAS.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/Support/libvs_placebo.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/DenoiseFilter/DGDenoise/DGDenoise.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vs-mlrt/vstrt.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/DenoiseFilter/FluxSmooth/libfluxsmooth.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/DerainbowFilter/SmoothUV/libsmoothuv.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/GrainFilter/RemoveGrain/RemoveGrainVS.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/GrainFilter/AddGrain/AddGrain.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/DenoiseFilter/DFTTest/DFTTest.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/DenoiseFilter/NEO_FFT3DFilter/neo-fft3d.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/Support/EEDI3m.dll")# vsQTGMC core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/ResizeFilter/nnedi3/vsznedi3.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/Support/libmvtools.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/Support/scenechange.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/Support/fmtconv.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/MiscFilter/MiscFilters/MiscFilters.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/DeinterlaceFilter/Bwdif/Bwdif.dll") core.std.LoadPlugin(path="I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/SourceFilter/LSmashSource/LSMASHSource.dll") # Import scripts from importlib.machinery import SourceFileLoader vsmlrt = SourceFileLoader('vsmlrt', 'I:/AI_Upscale/Tools/Hybrid/64bit/vs-mlrt/vsmlrt.py').load_module() import RainbowSmooth import lostfunc import havsfunc import validate # Source: 'I:\AI_Upscale\.Upscale Projects\03. DVD To Deinterlace\16x9 NTCS\TV Series 01.mkv' # Current color space: YUV420P8, bit depth: 8, resolution: 720x480, frame rate: 29.97fps, scanorder: top field first, yuv luminance scale: limited, matrix: 470bg, format: mpeg-2 # Loading I:\AI_Upscale\.Upscale Projects\03. DVD To Deinterlace\16x9 NTCS\TV Series 01.mkv using LWLibavSource clip = core.lsmas.LWLibavSource(source="I:/AI_Upscale/.Upscale Projects/03. DVD To Deinterlace/16x9 NTCS/TV Series 01.mkv", format="YUV420P8", stream_index=0, cache=0, prefer_hw=0) frame = clip.get_frame(0) # setting color matrix to 470bg. clip = core.std.SetFrameProps(clip, _Matrix=vs.MATRIX_BT470_BG) # setting color transfer (vs.TRANSFER_BT601), if it is not set. if validate.transferIsInvalid(clip):   clip = core.std.SetFrameProps(clip=clip, _Transfer=vs.TRANSFER_BT601) # setting color primaries info (to vs.PRIMARIES_BT470_BG), if it is not set. if validate.primariesIsInvalid(clip):   clip = core.std.SetFrameProps(clip=clip, _Primaries=vs.PRIMARIES_BT470_BG) # setting color range to TV (limited) range. clip = core.std.SetFrameProps(clip=clip, _ColorRange=vs.RANGE_LIMITED) # making sure frame rate is set to 29.97fps clip = core.std.AssumeFPS(clip=clip, fpsnum=30000, fpsden=1001) # making sure the detected scan type is set (detected: top field first) clip = core.std.SetFrameProps(clip=clip, _FieldBased=vs.FIELD_TOP) # tff # Deinterlacing using QTGMC clip = havsfunc.QTGMC(Input=clip, Preset="Slower", TFF=True) # new fps: 29.97 # Making sure content is preceived as frame based clip = core.std.SetFrameProps(clip=clip, _FieldBased=vs.FIELD_PROGRESSIVE) # progressive clip = clip[::2] # selecting previously even frames clip = lostfunc.DeSpot(o=clip) # rainbow removal using RainbowSmooth clip = RainbowSmooth.RainbowSmooth(clip=clip) # removing grain using STPresso clip = havsfunc.STPresso(clp=clip) from vsmlrt import Backend # changing range from limited to full range for vsSCUNetmlrt clip = core.resize.Bicubic(clip, range_in_s="limited", range_s="full") # setting color range to PC (full) range. clip = core.std.SetFrameProps(clip=clip, _ColorRange=vs.RANGE_FULL) # adjusting color space from YUV420P8 to RGBH for vsSCUNetmlrt clip = core.resize.Bicubic(clip=clip, format=vs.RGBH, matrix_in_s="470bg", range_s="full") # denosing using SCUNet (mlrt) clip = vsmlrt.SCUNet(clip, model=4, overlap=16, backend=Backend.TRT(fp16=True,device_id=0,verbose=True,use_cuda_graph=False, num_streams=1,builder_optimization_level=3,engine_folder="I:/AI_Upscale/.Upscale Projects/Engines")) # changing range from full to limited range for vsSCUNetmlrt clip = core.resize.Bicubic(clip, range_in_s="full", range_s="limited") # adjusting color space from RGBH to YUV444P16 for vsDGDenoise clip = core.resize.Bicubic(clip=clip, format=vs.YUV444P16, matrix_s="470bg", range_s="limited") # denoising using DGDenoise clip = core.dgdenoise.DGDenoise(clip=clip, strength=0.13, blend=0.00, cblend=0.00, searchw=5) with open("I:/AI_Upscale/Tools/Hybrid/64bit/vsfilters/GLSL/parameterized/CAS.glsl") as glslf:   glsl = glslf.read() glsl = glsl.replace('#define SHARPENING 0.0', '#define SHARPENING 0') glsl = glsl.replace('#define CAS_BETTER_DIAGONALS 1', '#define CAS_BETTER_DIAGONALS 1') glsl = glsl.replace('#define CAS_GO_SLOWER 0', '#define CAS_GO_SLOWER 0') glsl = glsl.replace('#define SOURCE_TRC 0', '#define SOURCE_TRC 0') glsl = glsl.replace('#define TARGET_TRC 0', '#define TARGET_TRC 0') clip = core.placebo.Shader(clip=clip, shader_s=glsl, width=clip.width, height=clip.height) # Using FastLineDarkenMOD for line darkening clip = havsfunc.FastLineDarkenMOD(c=clip) # changing range from limited to full range for vsVSMLRT clip = core.resize.Bicubic(clip, range_in_s="limited", range_s="full") # setting color range to PC (full) range. clip = core.std.SetFrameProps(clip=clip, _ColorRange=vs.RANGE_FULL) # adjusting color space from YUV444P16 to RGBH for vsVSMLRT clip = core.resize.Bicubic(clip=clip, format=vs.RGBH, matrix_in_s="470bg", range_s="full") # Step 1: current: 720x480, target: 788x480 # resizing using VSMLRT clip = vsmlrt.inference([clip],network_path="I:/AI_Upscale/Tools/Hybrid/64bit/onnx_models/2x_Pooh_V4_Candidate_2_422k.onnx", backend=Backend.TRT(fp16=True,device_id=0,num_streams=1,verbose=True,use_cuda_graph=False,workspace=1073741824,builder_optimization_level=3,engine_folder="I:/AI_Upscale/.Upscale Projects/Engines")) # resizing 1440x960 to 788x480 # adjusting resizing clip = core.resize.Bicubic(clip=clip, format=vs.RGBS, range_s="full") clip = core.fmtc.resample(clip=clip, w=788, h=480, kernel="spline64", interlaced=False, interlacedd=False) # sharpening stepped resize using LSFMod # adjusting color space from RGBS to YUV444P16 for vsLSFMod clip = core.resize.Bicubic(clip=clip, format=vs.YUV444P16, matrix_s="470bg", range_s="full", dither_type="error_diffusion") clip = havsfunc.LSFmod(input=clip) # adjusting color space from YUV444P16 to RGBH for vsVSMLRT clip = core.resize.Bicubic(clip=clip, format=vs.RGBH, matrix_in_s="470bg", range_s="full") # Step 2: current: 788x480, target: 852x480 # resizing using VSMLRT clip = vsmlrt.inference([clip],network_path="I:/AI_Upscale/Tools/Hybrid/64bit/onnx_models/2x_Pooh_V4_Candidate_2_422k.onnx", backend=Backend.TRT(fp16=True,device_id=0,num_streams=1,verbose=True,use_cuda_graph=False,workspace=1073741824,builder_optimization_level=3,engine_folder="I:/AI_Upscale/.Upscale Projects/Engines")) # resizing 1576x960 to 852x480 # adjusting resizing clip = core.resize.Bicubic(clip=clip, format=vs.RGBS, range_s="full") clip = core.fmtc.resample(clip=clip, w=852, h=480, kernel="spline64", interlaced=False, interlacedd=False) # changing range from full to limited range for vsVSMLRT clip = core.resize.Bicubic(clip, range_in_s="full", range_s="limited") # adjusting output color from: RGBS to YUV420P10 for x265Model clip = core.resize.Bicubic(clip=clip, format=vs.YUV420P10, matrix_s="470bg", range_s="limited", dither_type="error_diffusion") # set output frame rate to 29.97fps (progressive) clip = core.std.AssumeFPS(clip=clip, fpsnum=30000, fpsden=1001) # output clip.set_output()