Instructions to use MirageML/lowpoly-town with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/lowpoly-town with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MirageML/lowpoly-town", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a007ebf929204e5520c70aa4bdb7a644a936768b482c37c254c703c12be45d74
- Size of remote file:
- 492 MB
- SHA256:
- a74fd9bd8811bf2751d9a5fcbc37ea6db439df05f89f800d3e76178533cbe853
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