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

[Selur]

This makes no sense. the operations do not result in 6832x3840.

Hybrid takes the scaling from the name! "Xx_...."
If the name does not start with '<Number>x_', Hybrd assumes 4x, so this is correct.

clip = core.std.AddBorders(clip=clip, left=2, right=2, top=0, bottom=0) # add borders to archive mod 8 (vsVSMLRT) - 856x480

Source gets padded to 856x480

clip = vsmlrt.inference([clip],network_path="I:/AI_Upscale/Tools/Hybrid/64bit/onnx_models/2x_Ani4Kv2_G6i2_Compact_107500_FP16.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")) # 1712x960

Hybrid assumes, that the source gets upscaled by 2x. (856x480*2 = 1712x960)

clip = vsmlrt.inference([clip],network_path="I:/AI_Upscale/Tools/Hybrid/64bit/onnx_models/cugan_pro-denoise3x-up2x_op18_fp16_clamp_colorfix.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")) # 6848x3840

Hybrid assumes, that the source gets upscaled by 4x. (1712x960*4 = 6848x3840)

clip = core.std.Crop(clip=clip, left=8, right=8, top=0, bottom=0) # removing borders (vsVSMLRT) - 6832x3840

This is wrong. Hybrid needs to multiply the scaling factors, when 'no adjust' is used.
=> uploaded a new dev which hopefully should fix this

https://streamable.com/ryf2ru, if you are not willing to write a step-by-step, I don't think I will spend time on looking into this.

Cu Selur