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", 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:
- ab2df53093555c87da10e99c04f8f836549b3a689ad7d3d4432a3a2aba88427d
- Size of remote file:
- 1 kB
- SHA256:
- c8129ca3b15fb49aee5fd4a6cec01f796c85894293782056ce65b78a9b08087f
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