diff --git a/README.md b/README.md index 7dc4c8f..657e30b 100644 --- a/README.md +++ b/README.md @@ -6,19 +6,17 @@ A native comfyui port of Kijai's WanVideo-Wrapper TimeToMove https://github.com/user-attachments/assets/0b201e7a-d3c6-417f-8293-e20e8d2872fb ### Updates: -- Solved color issue. -- Fixed other bugs. +- Moved `CFGFloatListScheduler` to [ComfyUI-MoreEfficientSamplers](https://github.com/GiusTex/ComfyUI-MoreEfficientSamplers). ### Nodes -The custom node contains 4 new nodes: +The custom node contains 3 new nodes: - `Encode WanVideo`: taken from wanvideo-wrapper, it encodes the reference video. - `TTM Latent Add`: taken from wanvideo-wrapper, it embeds in the latent the reference to the driving video. - `Timove To Move Guider`: this node adds the ttm latent to the latent noise before passing it to the sampling function. This node removes the necessity of a dedicated sampler. -- `CFG Float List Scheduler`: taken from wanvideo-wrapper, it creates a list of cfg values, and submits them step by step, making possible using different cfg values at different steps. ### Other custom nodes used: -- The advanced sampler used in the [second workflow](https://github.com/GiusTex/ComfyUI-Wan-TimeToMove/blob/TTM-v2/wanvideo_2_2_I2V_A14B_TimeToMove_workflow2.json) can be found [here](https://github.com/GiusTex/ComfyUI-MoreEfficientSamplers). You can still use the native comfyui `sampler custom advanced` using [this](https://github.com/GiusTex/ComfyUI-Wan-TimeToMove/blob/TTM-v2/wanvideo_2_2_I2V_A14B_TimeToMove_workflow1.json) workflow. - The scheduler used is [this](https://github.com/BigStationW/flowmatch_scheduler-comfyui), useful for models using lightx loras. You can still use other samplers/schedulers. +- If you don't have kijai wan-videowrapper and need a cfg scheduler, you can find `CFGFloatListScheduler` here [ComfyUI-MoreEfficientSamplers](https://github.com/GiusTex/ComfyUI-MoreEfficientSamplers). ### Download To install ComfyUI-Wan-TimeToMove, follow these steps: diff --git a/__init__.py b/__init__.py index e970d6c..92d8c7d 100644 --- a/__init__.py +++ b/__init__.py @@ -1,20 +1,17 @@ from .nodes import (EncodeWanVideo, TTMLatentAdd, - TimeToMoveGuider, - CFGFloatListScheduler) + TimeToMoveGuider) NODE_CLASS_MAPPINGS = { "EncodeWanVideo": EncodeWanVideo, "TTMLatentAdd": TTMLatentAdd, "TimeToMoveGuider": TimeToMoveGuider, - "CFGFloatListScheduler": CFGFloatListScheduler, } NODE_DISPLAY_NAME_MAPPINGS = { "EncodeWanVideo": "Encode WanVideo", "TTMLatentAdd": "TTM Latent Add", "TimeToMoveGuider": "TimeToMove Guider", - "CFGFloatListScheduler": "CFGFloatListScheduler", } __all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS'] diff --git a/nodes.py b/nodes.py index 05ea70f..66d3efe 100644 --- a/nodes.py +++ b/nodes.py @@ -130,58 +130,3 @@ class TimeToMoveGuider: guider.set_ttm_options(ttm_options) return (guider,) - - -# Taken from kijai WanVideo-Wrapper -class CFGFloatListScheduler: - @classmethod - def INPUT_TYPES(s): - return {"required": { - "steps": ("INT", {"default": 30, "min": 2, "max": 1000, "step": 1, "tooltip": "Number of steps to schedule cfg for"} ), - "cfg_scale_start": ("FLOAT", {"default": 5.0, "min": 0.0, "max": 30.0, "step": 0.01, "round": 0.01, "tooltip": "CFG scale to use for the steps"}), - "cfg_scale_end": ("FLOAT", {"default": 5.0, "min": 0.0, "max": 30.0, "step": 0.01, "round": 0.01, "tooltip": "CFG scale to use for the steps"}), - "interpolation": (["linear", "ease_in", "ease_out"], {"default": "linear", "tooltip": "Interpolation method to use for the cfg scale"}), - "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01, "round": 0.01,"tooltip": "Start percent of the steps to apply cfg"}), - "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "round": 0.01,"tooltip": "End percent of the steps to apply cfg"}), - }, - "hidden": { - "unique_id": "UNIQUE_ID", - }, - } - - RETURN_TYPES = ("FLOAT", ) - RETURN_NAMES = ("float_list",) - FUNCTION = "process" - CATEGORY = "Wan22 TimeToMove" - DESCRIPTION = "Helper node to generate a list of floats that can be used to schedule cfg scale for the steps, outside the set range cfg is set to 1.0. Taken from Kijai WanVideo-Wrapper" - - def process(self, steps, cfg_scale_start, cfg_scale_end, interpolation, start_percent, end_percent, unique_id): - - # Create a list of floats for the cfg schedule - cfg_list = [1.0] * steps - start_idx = min(int(steps * start_percent), steps - 1) - end_idx = min(int(steps * end_percent), steps - 1) - - for i in range(start_idx, end_idx + 1): - if i >= steps: - break - - if end_idx == start_idx: - t = 0 - else: - t = (i - start_idx) / (end_idx - start_idx) - - if interpolation == "linear": - factor = t - elif interpolation == "ease_in": - factor = t * t - elif interpolation == "ease_out": - factor = t * (2 - t) - - cfg_list[i] = round(cfg_scale_start + factor * (cfg_scale_end - cfg_scale_start), 2) - - # If start_percent > 0, always include the first step - if start_percent > 0: - cfg_list[0] = 1.0 - - return (cfg_list,) diff --git a/wanvideo_2_2_I2V_A14B_TimeToMove_workflow2.json b/wanvideo_2_2_I2V_A14B_TimeToMove_workflow2.json deleted file mode 100644 index 17261f5..0000000 --- a/wanvideo_2_2_I2V_A14B_TimeToMove_workflow2.json +++ /dev/null @@ -1,2653 +0,0 @@ -{ - "id": "c6e410bc-5e2c-460b-ae81-c91b6094fbb1", - "revision": 0, - "last_node_id": 385, - "last_link_id": 977, - "nodes": [ - { - "id": 120, - "type": "CLIPTextEncode", - "pos": [ - 930, - 100 - ], - "size": [ - 422.84503173828125, - 164.31304931640625 - ], - "flags": {}, - "order": 26, - "mode": 0, - "inputs": [ - { - "name": "clip", - "type": "CLIP", - "link": 899 - } - ], - "outputs": [ - { - "name": "CONDITIONING", - "type": "CONDITIONING", - "slot_index": 0, - "links": [ - 779 - ] - } - ], - "title": "CLIP Text Encode (Positive Prompt)", - "properties": { - "cnr_id": "comfy-core", - "ver": "0.3.46", - "Node name for S&R": "CLIPTextEncode", - "ue_properties": { - "version": "7.0.1", - "widget_ue_connectable": {}, - "input_ue_unconnectable": {} - } - }, - "widgets_values": [ - "A lively monkey energetically bounces on a neatly made bed, its limbs splayed in mid-air. 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