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8ruceLi
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VFXMaster

Diffusers
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How to use from the
Use from the
Diffusers library
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]

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

VFXMaster: Unlocking Dynamic Visual Effect Generation via In-Context Learning

Folder Structure 

VFXMaster
└── training_weight
    ├── VFXMaster_Weight
    │   └── In-Context-Conditioning
    │   └── One-shot-Adaptation
    ├── CogVideoX-Fun-V1.1-5b-InP

license: apache-2.0

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Paper for 8ruceLi/VFXMaster