Instructions to use robiai/framex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use robiai/framex with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("robiai/framex") prompt = "unfavalen" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
FrameX Model Card
Model Details
Framex is a text-to-video model that features improved performance in video quality, motion fluidity, complex prompt understanding, and resource-efficiency.
- Developed by: Robi Team
- Distilled from: HunyuanVideo
- Github Repository: https://github.com/getrobi/framex
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