Instructions to use mlchen/Layout2Scene with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mlchen/Layout2Scene with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mlchen/Layout2Scene", 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:
- 57e9db6a2792d842bd1dd95a0112ef01c85a9c1edc026c98b1929f8823666e97
- Size of remote file:
- 1.46 GB
- SHA256:
- 7b189baf177a109fc9f9dc97d0f4190842d934f98b0275431b5965453a458ae8
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