HunyuanVideo API, 8bit version

HunyuanVideo is a state-of-the-art text-to-video generation model that creates high-quality videos from text descriptions. This model outperforms many closed-source alternatives in text alignment, motion quality, and visual quality.

This is API with 8bit version of this model. Runs on cheaper GPU and can be faster.

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 what you don't want in 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 (max 129)
• seed (integer, optional) - Random seed for reproducibility. Check logs if you did not set it and need to find out its value
• embedded_guidance_scale (float, default: 6.0) - Embedded guidance scale
• num_inference_steps (integer, default: 40) - Number of denoising steps
• flow_shift (float, default: 7.0) - Flow shift parameter for motion control

Limitations

• Maximum video length is 129 frames (5.3 seconds)
• You need to provide video_length values 4*n+1: 17, 21, 25, etc.

Feedback

If you have any issues running this API, create an issue on https://github.com/zurk/replicate-hunyuan-video-8bit/issues I try to fix them as soon as possible.

For more details, visit the HunyuanVideo GitHub repository and ComfyUI wrapper nodes for HunyuanVideo.