Instructions to use joungbinlee/3DScenePrompt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joungbinlee/3DScenePrompt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("joungbinlee/3DScenePrompt", 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:
- a8fa1489a7af5f325c0517bfbd99b8c5a5f544cb0a0eae62f80c686ff5ba1f6e
- Size of remote file:
- 862 MB
- SHA256:
- a410e48d988c8224cef392b68db0654485cfd41f345f4a3a81d3e6b765bb995e
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