Instructions to use 8ruceLi/VFXMaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8ruceLi/VFXMaster with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8ruceLi/VFXMaster", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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## VFXMaster: Unlocking Dynamic Visual Effect Generation via In-Context Learning
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> \* equal contribution † project leader ✉ corresponding author
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### Folder Structure
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## VFXMaster: Unlocking Dynamic Visual Effect Generation via In-Context Learning
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<a href="https://arxiv.org/pdf/2510.25772"><img src="https://img.shields.io/static/v1?label=Paper&message=2510.25772&color=red&logo=arxiv"></a>
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<a href="https://libaolu312.github.io/VFXMaster/"><img src="https://img.shields.io/static/v1?label=Project&message=Page&color=green&logo=github-pages"></a>
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### Folder Structure
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