import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("zenlm/zen-video", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Zen Video
Zen LM by Hanzo AI — High-quality text-to-video generation at 720p resolution.
Specs
| Property | Value |
|---|---|
| Parameters | 13B |
| Architecture | Zen MoDE (Mixture of Distilled Experts) |
| Task | Text-to-Video |
| Resolution | 720p |
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',
prompt='A drone flying over a tropical coastline at golden hour',
size='1280x720',
)
print(response.data[0].url)
License
Community License
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