Other
Diffusers
PyTorch
WaveFunctionDiffusionPipeline
stable-diffusion
text-to-image
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use wdcqc/starcraft-platform-terrain-32x32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wdcqc/starcraft-platform-terrain-32x32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wdcqc/starcraft-platform-terrain-32x32", dtype=torch.bfloat16, device_map="cuda") prompt = "isometric scspace terrain" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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