ComfyUI-WanAnimatePlus

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Multi-reference image injection and seamless video connection for ComfyUI's WanAnimate pipeline.

Overview

ComfyUI-WanAnimatePlus adds four major feature groups to the WanVideo workflow:

prefix_frames & transition_video

• prefix_frames: allows passing 1–5 additional reference images for multi-reference guided generation
• transition_video: allows passing the last 21 frames of the previous video segment for seamless video connection

When used together, canvas layout and frame offsets are automatically coordinated without conflicts.

Bernini

Supports Bernini models. Allows passing source video, reference video, or reference images as generation conditions. Supports v2v, rv2v, r2v, and t2v tasks.

Use cases:

• Multi-shot video sequence generation
• Video continuation / extension
• Motion transfer with multi-reference control
• Video editing with source video + reference images
• Reference-to-video generation

SCAIL-2 Embeds

Adds a wrapper-native WanAnimatePlus SCAIL_2 Embeds node for SCAIL-2 models. It prepares reference image, driving pose, colored pose mask, reference mask, optional prefix/transition hard-freeze latents, and prefix-aligned colored masks for the WanAnimatePlus sampler.

Demo

prefix_frames & transition_video usage

prefix_frames demo

transition_video demo

Features

prefix_frames (Multi-Reference Injection)

Allows 1–5 additional reference images. Internally expands the canvas pixel space and encodes reference images across the front frames, with automatic frame offset coordination for control signals (pose / face).

• Supports 1–5 reference images (truncated if exceeding 5)
• Auto-resizes reference images to target resolution
• Automatically aligns frame offsets for pose / face / bg / mask signals

transition_video (Seamless Video Connection)

Allows passing the last 21 frames of the previous video segment. Writes these pixel frames directly into the front of the generation canvas, with sampled+reversed padding for control signal offsets.

• Automatically coordinates with prefix when both are used

Bernini

Generates condition latents from source video, reference video, and/or reference images via VAE encoding. Supports v2v, rv2v, r2v, and t2v — task is auto-detected from connected inputs.

• Reference images kept at native aspect ratio
• Compatible with context windows

SCAIL-2

Provides SCAIL-2 ref / pose / mask conditioning through WanAnimatePlus SCAIL_2 Embeds.

• Encodes ref_image, pose_images, pose_image_mask, prefix_frames, prefix_mask, bg_image, and reference_image_mask
• Aligns SCAIL-2 inputs to 32-pixel multiples before VAE encoding
• Supports animation and replacement modes
• Supports single-frame prefix reference encoding and optional transition_video hard-freeze conditioning
• By default, prefix_frames are encoded as full-resolution reference latents and do not expand the output canvas; disable single_frame_prefix_encoding to use the legacy 37 front pixel-frame prefix layout
• In single-frame prefix mode, prefix_mask follows the same reference-mask path as reference_image_mask
• Supports context-window sampling; non-first windows can see prepended prefix/transition context without fusing those prepended predictions

Installation

Place this repository into ComfyUI's custom_nodes directory:

cd ComfyUI/custom_nodes
git clone https://github.com/wuwukaka/ComfyUI-WanAnimatePlus.git

Restart ComfyUI after installation.

Important

: To use prefix_frames, transition_video, Bernini, or SCAIL_2 Embeds, you must replace the full workflow chain with WanAnimatePlus nodes. Mixing WanAnimatePlus nodes with original WanVideoWrapper nodes in the same workflow will result in degraded output.

Quick Start

1. Start ComfyUI and confirm the WanAnimatePlus nodes appear under the WanAnimatePlus category
2. Replace the entire workflow chain with WanAnimatePlus counterparts: ModelLoader, VAELoader, ContextOptions, AnimateEmbeds, Sampler, Decode, and supporting nodes
3. Do not mix original WanVideoWrapper nodes in the same workflow
4. Connect prefix_frames and/or transition_video inputs as needed
5. Example workflows are available in the example_workflows/ directory

Nodes

WanAnimatePlus exposes a complete workflow chain to avoid cross-package object mixing with the original WanVideoWrapper nodes.

Core nodes:

• WanAnimatePlus ModelLoader
• WanAnimatePlus VAELoader
• WanAnimatePlus TextEncodeCached
• WanAnimatePlus ClipVisionEncode
• WanAnimatePlus ContextOptions
• WanAnimatePlus AnimateEmbeds
• WanAnimatePlus Sampler / WanAnimatePlus Samplerv2
• WanAnimatePlus Scheduler / WanAnimatePlus Schedulerv2
• WanAnimatePlus Decode / WanAnimatePlus Encode
• WanAnimatePlus LoraSelect / WanAnimatePlus LoraSelectMulti / WanAnimatePlus SetLoRAs
• WanAnimatePlus BlockSwap / WanAnimatePlus SetBlockSwap
• WanAnimatePlus TorchCompileSettings
• WanAnimatePlus SamplerExtraArgs
• WanAnimatePlus Uni3C ControlnetLoader / WanAnimatePlus Uni3C Embeds
• WanAnimatePlus Bernini
• WanAnimatePlus SCAIL_2 Embeds

WanAnimatePlus AnimateEmbeds

Core node, replaces the original WanVideoAnimateEmbeds.

New inputs:

Input	Description
prefix_frames	1–5 additional reference images for multi-reference guided generation
transition_video	Last 21 frames of the previous video segment for seamless video connection

Other inputs are identical to the original WanVideoAnimateEmbeds: vae, width, height, num_frames, ref_images, pose_images, face_images, bg_images, mask, start_ref_image, clip_embeds, etc.

WanAnimatePlus Bernini

Generates condition latents from source video, reference video, and/or reference images for Bernini models.

Inputs:

Input	Description
vae	VAE model for encoding
width / height / num_frames	Output dimensions
source_video	Source video to edit/restyle (v2v/rv2v). Resized to width/height
reference_video	Moving content to composite (video insertion), native aspect
reference_images	Reference image(s) as in-context tokens (r2v/rv2v). Native aspect
ref_max_size	Max long-edge size for reference media (default 848)
force_offload	Offload VAE after encoding to save VRAM
tiled_vae	Use tiled VAE encoding for memory savings

The task (v2v, rv2v, r2v, t2v) is automatically inferred from which inputs are connected.

WanAnimatePlus SCAIL_2 Embeds

Creates SCAIL-2 conditioning for WanAnimatePlus sampling. Use this node with SCAIL-2 checkpoints that include the pose and mask streams.

Inputs:

Input	Description
vae	VAE model for encoding
width / height / num_frames	Target dimensions; width and height are aligned to multiples of 32
ref_image	Reference image for SCAIL-2 conditioning
bg_image	Optional single background image for animation mode; prepended as the first prefix_frames item with an internal white mask and ignored in replacement mode
pose_images	Driving pose video/images, encoded at half resolution
pose_image_mask	Colored per-identity pose mask sequence
prefix_mask	Optional colored mask images matching prefix_frames; expanded as 1+4+4... and written into the prefix mask frames before mask latent encoding
reference_image_mask	Colored reference mask image
replacement_mode	Enables SCAIL-2 replacement-mode RoPE and reference-mask compositing
preserve_main_ref_background	Animation mode only; keeps the main reference image background when enabled, or uses reference_image_mask as a black-background alpha crop when disabled. Ignored in replacement mode
single_frame_prefix_encoding	Encodes prefix_frames as individual full-resolution reference latents instead of expanding the canvas; enabled by default
prefix_frames	Optional prefix images. In default single-frame mode these become reference-stream latents; with single-frame mode disabled they hard-freeze the front canvas
transition_video	Optional transition frames to hard-freeze at the front of the latent sequence
clip_embeds	Optional CLIP vision features from WanAnimatePlus ClipVisionEncode
force_offload / tiled_vae	Memory controls for VAE encoding

For short generations, context windows are optional. For long generations or low VRAM, context windows are recommended. In context-window mode, single-frame prefix references remain visible through the SCAIL-2 reference stream. Legacy canvas prefixes and transition latents are prepended for model context and removed before overlap fusion.

For SCAIL-2, the default single_frame_prefix_encoding mode does not expand or trim the output for prefix_frames. If transition_video is connected, the front canvas expands by 21 pixel frames and those 21 frames are trimmed after decoding. With single_frame_prefix_encoding disabled, prefix_frames use the legacy 37 front pixel-frame canvas layout, with transition frames placed at frames 17-36 when transition_video is also connected.

When bg_image is connected in animation mode, it consumes the first prefix slot and is handled as the first prefix image. The node internally adds a white mask for that background image only; user-provided prefix_frames and prefix_mask are then limited to four images each. In replacement mode, bg_image is ignored.

Project Structure

ComfyUI-WanAnimatePlus/
├─ wanvideo/                 # WanVideo core model code
├─ nodes.py                  # Core WanAnimatePlus embeds / encode / decode nodes
├─ nodes_sampler.py          # Core WanAnimatePlus sampler / scheduler nodes
├─ nodes_model_loading.py    # Core WanAnimatePlus model / VAE / LoRA / block swap nodes
├─ context_windows/          # Context-window scheduling
├─ cache_methods/            # Cache acceleration
├─ utils.py                  # Shared utilities
├─ docs/
│  └─ images/                # Documentation images
├─ example_workflows/        # Example workflows
├─ __init__.py               # Node registration entry point
├─ pyproject.toml
├─ requirements.txt
└─ LICENSE

FAQ

1. Nodes not showing after installation

• Verify the repo path is ComfyUI/custom_nodes/ComfyUI-WanAnimatePlus
• Ensure the original ComfyUI-WanVideoWrapper is also installed
• Restart ComfyUI and search for WanAnimatePlus in the node list

2. Conflicts with original nodes?

No. All node names use the WanAnimatePlus prefix, completely avoiding conflicts with the original WanVideo prefixed nodes. Both can be installed simultaneously.

3. How many images for prefix_frames?

3 is recommended. Up to 5 are accepted (excess is truncated). The node works with fewer than 3 as well, but the coverage range will be smaller.

4. How many frames for transition_video?

Input is automatically cropped to 21 frames (padded with the first frame if insufficient).

Acknowledgments

Modified from kijai/ComfyUI-WanVideoWrapper. Deep respect to the original author for their tremendous contributions to the WanVideo ecosystem.

Contact

• Bilibili: @wuwukasi
• Email: wuwukawayi@gmail.com

Sponsorship

If you find this project helpful, consider supporting me! Your support is what keeps this project going and motivates me to continue improving it.

Every contribution, no matter how small, means a lot and helps me dedicate more time to development and new features. Thank you!

License

This project is an independently maintained fork / derivative project based on kijai/ComfyUI-WanVideoWrapper and is released under the Apache License, Version 2.0. Thanks again to kijai and the original contributors for their work.

Modified portions and newly added code are Copyright (c) 2026 wuwukasi/wuwukaka. See NOTICE for attribution and detailed modification notice requirements. Downstream projects that use or modify the WanAnimatePlus additions should preserve the copyright/modification notices and include a detailed notice in their README, NOTICE file, or equivalent attribution document. That notice should identify the wuwukasi/wuwukaka-derived modules, files, or feature areas and describe any downstream modifications made to those portions.

The wuwukasi/wuwukaka additions include WanAnimatePlus-specific node registration/renaming and integration code, prefix/transition video conditioning, Bernini in-context conditioning, SCAIL-2 embeds support including prefix-mask handling and sampler freeze/prepend integration, EverAnimate embeds support, sampler/context-window changes, cache/inference safeguards, and related custom-op handling.