Instructions to use GamerC0der/WorldDiffusionLandscape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GamerC0der/WorldDiffusionLandscape with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GamerC0der/WorldDiffusionLandscape", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- ab3f43f7b39965588380026b373cfd35c0d12460523628efeaa9c56e8551c626
- Size of remote file:
- 2.38 GB
- SHA256:
- 9ab07498214063bda8706a559237e898d3b847dea0102e799ca4197072b363a4
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