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HunyuanVideo API (8-bit Version)

HunyuanVideo is a cutting-edge text-to-video generation model capable of creating high-quality videos from text descriptions. It surpasses many closed-source alternatives in text alignment, motion quality, and overall visual fidelity.

This API provides access to the 8-bit version of the model, which is optimized for performance on less expensive GPUs and offers faster inference compared to the full HunyuanVideo model.

Examples

import replicate

output = replicate.run(
    "zurk/hunyuan-video-8bit:main",
    input={
        "prompt": "A cat walks on the grass, realistic style.",
        "negative_prompt": "Ugly",
        "width": 960,
        "height": 544,
        "video_length": 65,
        "embedded_guidance_scale": 6.0,
        "num_inference_steps": 40,
        "seed": 43,
    }
)

Parameters

prompt (string, required): Text description of the video you want to generate.
negative_prompt (string, optional): Text describing elements you want to exclude from the video.
width (integer, default: 960): Video width in pixels.
height (integer, default: 544): Video height in pixels.
video_length (integer, default: 65): Number of frames (maximum 129).
seed (integer, optional): Random seed for reproducibility. If not specified, you can find its value in the logs.
embedded_guidance_scale (float, default: 6.0): Scale for embedded guidance during generation.
num_inference_steps (integer, default: 40): Number of denoising steps.
flow_shift (float, default: 7.0): Parameter for motion control (flow shift).

Limitations

The maximum video length is 129 frames (approximately 5.3 seconds).
The video_length parameter must follow the formula 4*n+1 (e.g., 17, 21, 25, etc.).

Feedback

If you encounter any issues while using this API, please report them by creating an issue at GitHub Issues. I will address them as soon as possible.

For further details, visit the HunyuanVideo GitHub repository or explore the ComfyUI wrapper nodes for HunyuanVideo.