Instructions to use leonardPKU/DreamEngine-ObjectFusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonardPKU/DreamEngine-ObjectFusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("leonardPKU/DreamEngine-ObjectFusion", torch_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
- Xet hash:
- 798554a19a5664cd05186baffad3e544d08e15117355364099aa94d508ab45a6
- Size of remote file:
- 708 MB
- SHA256:
- d59baf02d9bad5d356cab85e718069408f274111d2e26365210ba1fad9028c64
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