import comfy.model_management import gc import torch from comfy.patcher_extension import CallbacksMP from comfy.model_patcher import ModelPatcher from comfy.model_base import WAN21 from tqdm import tqdm #Based on https://github.com/kijai/ComfyUI-WanVideoWrapper class WanVideoBlockSwap: @classmethod def INPUT_TYPES(s): return { "required": { "model": ("MODEL",), "blocks_to_swap": ("INT", {"default": 20, "min": 0, "max": 40, "step": 1, "tooltip": "Number of transformer blocks to swap, the 14B model has 40, while the 1.3B model has 30 blocks"}), "offload_img_emb": ("BOOLEAN", {"default": False, "tooltip": "Offload img_emb to offload_device"}), "offload_txt_emb": ("BOOLEAN", {"default": False, "tooltip": "Offload txt_emb to offload_device"}), "use_non_blocking": ("BOOLEAN", {"default": False, "tooltip": "Use non-blocking memory transfer for offloading, reserves more RAM but is faster"}), }, } RETURN_TYPES = ("MODEL",) CATEGORY = "ComfyUI-wanBlockswap" FUNCTION = "set_callback" def set_callback(self, model: ModelPatcher, blocks_to_swap, offload_txt_emb, offload_img_emb, use_non_blocking): def swap_blocks(model: ModelPatcher, device_to, lowvram_model_memory, force_patch_weights, full_load): base_model = model.model main_device=torch.device('cuda') if isinstance(base_model, WAN21): unet = base_model.diffusion_model for b, block in tqdm(enumerate(unet.blocks), total=len(unet.blocks), desc="Initializing block swap"): if b > blocks_to_swap: block.to(main_device) else: block.to(model.offload_device) if offload_txt_emb: unet.text_embedding.to(model.offload_device, non_blocking=use_non_blocking) if offload_img_emb: unet.img_emb.to(model.offload_device, non_blocking=use_non_blocking) comfy.model_management.soft_empty_cache() gc.collect() model = model.clone() model.add_callback(CallbacksMP.ON_LOAD,swap_blocks) return (model, ) NODE_CLASS_MAPPINGS = { "wanBlockSwap": WanVideoBlockSwap } NODE_DISPLAY_NAME_MAPPINGS = { "wanBlockSwap": "WanVideoBlockSwap" }