> ## Documentation Index > Fetch the complete documentation index at: https://docs.comfy.org/llms.txt > Use this file to discover all available pages before exploring further. # WanAnimate2ToVideo - ComfyUI Built-in Node Documentation > Complete documentation for the WanAnimate2ToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage. WanAnimate2ToVideo animates a character from a reference image by transferring the facial expressions, body motion, and hand gestures from a separate pose video. It builds the conditioning data and a starting latent that a video generation sampler uses to create the animation. ## Inputs | Parameter | Description | Data Type | Required | Range | | -------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------- | -------- | ------------------------------- | | `positive` | The positive conditioning for the video generation. | CONDITIONING | Yes | N/A | | `negative` | The negative conditioning for the video generation. | CONDITIONING | Yes | N/A | | `vae` | The VAE used to encode the reference image and video frames into latent space. | VAE | Yes | N/A | | `width` | Output video width in pixels. (default: 832) | INT | Yes | 16 to MAX\_RESOLUTION (step 16) | | `height` | Output video height in pixels. (default: 480) | INT | Yes | 16 to MAX\_RESOLUTION (step 16) | | `length` | Number of frames to generate. (default: 81) | INT | Yes | 1 to MAX\_RESOLUTION (step 4) | | `batch_size` | Number of videos to generate simultaneously. (default: 1) | INT | Yes | 1 to 4096 | | `reference_image` | The character to animate. If omitted, a black image is used. | IMAGE | No | N/A | | `pose_video` | The video whose motion is transferred to the reference character. If it has fewer frames than `length`, the last frame is repeated to fill the missing frames. | IMAGE | No | N/A | | `clip_vision_output` | CLIP vision of the reference image. | CLIP\_VISION\_OUTPUT | No | N/A | | `positive_pose` | Prompt for the pose-video branch, describing the motion rather than the character. Defaults to `positive`. Used for both the cond and uncond passes. | CONDITIONING | No | N/A | | `clip_vision_output_pose` | CLIP vision of the pose video's first frame. Defaults to `clip_vision_output`. | CLIP\_VISION\_OUTPUT | No | N/A | | `continue_motion` | Previous motion sequence to continue from for temporal consistency. Only the last frame of this sequence is used as the starting motion frame. | IMAGE | No | N/A | | `video_frame_offset` | Frames to seek into the pose video. Connect to the `video_frame_offset` output of the previous node when extending. (default: 0) | INT | Yes | 0 to MAX\_RESOLUTION | | `pose_strength` | Scales the pose video's influence on the motion. 1.0 is the trained behavior; below weakens adherence, above amplifies. 0.0 mutes it but does not fully remove it. (default: 1.0) | FLOAT | Yes | 0.00 to 10.00 (step 0.01) | | `pose_start_percent` | Sampling percent at which the pose influence starts. Outside the window the pose branch is skipped entirely, which also speeds those steps up. (default: 0.0) | FLOAT | Yes | 0.00 to 1.00 (step 0.01) | | `pose_end_percent` | Sampling percent at which the pose influence ends. Motion is mostly established early, so e.g. 0.7 can loosen fine detail while keeping the choreography. (default: 1.0) | FLOAT | Yes | 0.00 to 1.00 (step 0.01) | | `reference_image_strength` | Scales how strongly generated frames attend to the reference image's latent frame. Below 1.0 loosens identity/appearance adherence (e.g. to let the prompt restyle), above tightens it against drift. (default: 1.0) | FLOAT | Yes | 0.00 to 10.00 (step 0.01) | **Validation notes:** * `pose_start_percent` must not be greater than `pose_end_percent`; otherwise the node raises a ValueError. * If `pose_video` is provided, its frame count must be greater than `video_frame_offset`; otherwise the node raises a ValueError. ## Outputs | Output Name | Description | Data Type | | -------------------- | -------------------------------------------------------------------------------------------------------------------- | ------------ | | `positive` | Positive conditioning for sampling, with the reference image, mask, and optional pose data attached. | CONDITIONING | | `negative` | Negative conditioning for sampling, with the same reference image, mask, and optional pose data attached. | CONDITIONING | | `latent` | Zero-filled starting latent for the video sampler; the first `trim_latent` frames should be removed before decoding. | LATENT | | `trim_latent` | Number of latent frames that should be trimmed before decoding. | INT | | `trim_image` | Number of overlapping image frames when extending a video. | INT | | `video_frame_offset` | Frames to seek into the pose video; equals the adjusted input offset plus the number of frames generated. | INT | > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimate2ToVideo/en.md) *** **Source fingerprint (SHA-256):** `7e1f497983ab63a68e5ef5439b3ef4e9295f79f78530c9dc5de16a8238475f05`