Instructions to use hashu786/CineArc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hashu786/CineArc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tencent/HunyuanVideo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hashu786/CineArc") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
CineArc

- Prompt
- -
Model description
An experimental RND lora trained on 1 video to get the camera arc motion.
For best results use: 720x480 33 frames prompt includes: "camera arcs"
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for hashu786/CineArc
Base model
tencent/HunyuanVideo