o ie @s.ddlmZddlZGdddZdeiZdS))model_managementNc@s>eZdZdZeddZdZdZdZdZ de d e fd d Z d S) LTXVLatentUpsamplerz4 Upsamples a video latent by a factor of 2. cCsdddddiS)NrequiredLATENT)LATENT_UPSCALE_MODEL)VAE)samples upscale_modelvae)sr r =/mnt/c/Users/fbmor/ComfyUI/comfy_extras/nodes_lt_upsampler.py INPUT_TYPES s zLTXVLatentUpsampler.INPUT_TYPESrupsample_latentz latent/videoTr returnc Cst}t|}t|j}|d}|j}|t|jd7}t ||z| ||j ||d} |j j |}||} W|n|w|j j | } | j |td} |} | | d<| dd| fS)a Upsample the input latent using the provided model. Args: samples (dict): Input latent samples upscale_model (LatentUpsampler): Loaded upscale model vae: VAE model for normalization auto_tiling (bool): Whether to automatically tile the input for processing Returns: tuple: Tuple containing the upsampled latent r gp@)dtypedevice noise_maskN)rget_torch_device module_sizenext parametersrmathprodshape free_memorytofirst_stage_modelper_channel_statistics un_normalizecpu normalizeintermediate_devicecopypop) selfr r r rmemory_required model_dtypelatents input_dtypeupsampled_latents return_dictr r rrs,     z#LTXVLatentUpsampler.upsample_latentN) __name__ __module__ __qualname____doc__ classmethodr RETURN_TYPESFUNCTIONCATEGORY EXPERIMENTALdicttuplerr r r rrs  r)comfyrrrNODE_CLASS_MAPPINGSr r r rs F