Instructions to use MirageML/lowpoly-office with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/lowpoly-office 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-office", 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:
- 0c854b4179691ddb8e096f7a1196e72adbc717c4c5a5f9869d4e84bbdaca3a18
- Size of remote file:
- 1.36 GB
- SHA256:
- 47763632e668151e91062efebb4378a5569010abdd02c036cecac10621b68f84
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