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:
- f899d8ded9e44b812d67826649634089abe51a21da099ae82f1e4525efd43b96
- Size of remote file:
- 4.27 GB
- SHA256:
- cfaf4c662a542abdf662f7555e1210fc042cebcca50e3e97e44a60658e60731b
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