ZYVIDEO 1.2

Text-to-video, 256×256, 16 or 32 frames @ 8 fps, plus chained long videos. Same architecture as ZYVIDEO 1.1 (built on ZYI-256 Flash). What changed, in a short fine-tune:

• Anatomy and quality: high-quality FLUX-Reason-6M images (people and animals first) trained together with the videos, and only the most aesthetic OpenVid clips, half of them with people or animals.
• Long videos: a second stage at 32 frames, and pipe.long(...) to chain several clips into one video.

Chained long video: longo_encadeado.mp4

Usage

import sys
from huggingface_hub import snapshot_download
d = snapshot_download("caikybaldo999/zyvideo-1.2")
sys.path.insert(0, d)
from zyvideo import ZyVideoPipeline, save_mp4
pipe = ZyVideoPipeline(d)
save_mp4(pipe("a woman walking on a sidewalk, full body", seed=0)[0], "out.mp4", fps=8)                  # 16 frames
save_mp4(pipe("a woman walking on a sidewalk, full body", frames=32, seed=0)[0], "out32.mp4", fps=8)
save_mp4(pipe.long("a man walking along a beach at sunset", segments=3, seed=0), "long.mp4", fps=8)        # ~10 s

Requires torch, diffusers, transformers, safetensors, huggingface_hub, imageio, imageio-ffmpeg. The stage-1 weights (before the long-video stage) are in etapa1/.

Limitations

256×256. Each latent token covers 32×32 pixels, so hands, small faces and text are still hard. Long chained videos can drift after a few segments. English prompts only.