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Zen Video I2v

Image-to-video generation model for animating static images at 720p.

Overview

Built on Zen MoDE (Mixture of Distilled Experts) architecture with 13B parameters.

Developed by Hanzo AI and the Zoo Labs Foundation.

Quick Start

from diffusers import AutoPipelineForImage2Video
from PIL import Image
import torch

model_id = "zenlm/zen-video-i2v"
pipe = AutoPipelineForImage2Video.from_pretrained(model_id, torch_dtype=torch.bfloat16)
pipe = pipe.to("cuda")

image = Image.open("input.jpg")
video_frames = pipe(image, prompt="A gentle wind blows through the scene").frames[0]

API Access

from openai import OpenAI

client = OpenAI(base_url="https://api.hanzo.ai/v1", api_key="your-api-key")
response = client.images.generate(
    model="zen-video-i2v",
    prompt="A drone flying over a tropical coastline at golden hour",
    size="1280x720",
)
print(response.data[0].url)

Model Details

Attribute	Value
Parameters	13B
Architecture	Zen MoDE
License	Apache 2.0

License

Apache 2.0

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