Instructions to use MirageML/lowpoly-world with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/lowpoly-world 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-world", 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
Download text_encoder/pytorch_model.bin from MirageML/lowpoly-world: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/MirageML/lowpoly-world/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://MirageML/lowpoly-world@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MirageML/lowpoly-world/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 2db549c7ab4cc755ece0b9e8e1df16dfdc4e5a8a7e6a46fa5ddc529cc742f705
- Size of remote file:
- 492 MB
- SHA256:
- a15ab151b70b5d457de03759a8c86a297444d1a79b7f25ee1df18105ccbacb4d
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