This node is designed for generating conditioning data for video generation tasks, specifically tailored for use with SVD_img2vid models. It takes various inputs including initial images, video parameters, and a VAE model to produce conditioning data that can be used to guide the generation of video frames.

## Inputs

| Parameter | Description | Comfy dtype |
| --- | --- | --- |
| `clip_vision` | Represents the CLIP vision model used for encoding visual features from the initial image, playing a crucial role in understanding the content and context of the image for video generation. | `CLIP_VISION` |
| `init_image` | The initial image from which the video will be generated, serving as the starting point for the video generation process. | `IMAGE` |
| `vae` | A Variational Autoencoder (VAE) model used for encoding the initial image into a latent space, facilitating the generation of coherent and continuous video frames. | `VAE` |
| `width` | The desired width of the video frames to be generated, allowing for customization of the video's resolution. | `INT` |
| `height` | The desired height of the video frames, enabling control over the video's aspect ratio and resolution. | `INT` |
| `video_frames` | Specifies the number of frames to be generated for the video, determining the video's length. | `INT` |
| `motion_bucket_id` | An identifier for categorizing the type of motion to be applied in the video generation, aiding in the creation of dynamic and engaging videos. | `INT` |
| `fps` | The frames per second (fps) rate for the video, influencing the smoothness and realism of the generated video. | `INT` |
| `augmentation_level` | A parameter controlling the level of augmentation applied to the initial image, affecting the diversity and variability of the generated video frames. | `FLOAT` |

## Outputs

| Parameter | Description | Comfy dtype |
| --- | --- | --- |
| `positive` | The positive conditioning data, consisting of encoded features and parameters for guiding the video generation process in a desired direction. | `CONDITIONING` |
| `negative` | The negative conditioning data, providing a contrast to the positive conditioning, which can be used to avoid certain patterns or features in the generated video. | `CONDITIONING` |
| `latent` | Latent representations generated for each frame of the video, serving as a foundational component for the video generation process. | `LATENT` |

> 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/SvdImg2vidConditioning/en.md)