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
Commit History
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (14e2f11a9e3399f182485ed2ac87ebbf738bdbfc) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>56c96d9
-
Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (1d7f20c96bc959dd4b086d63ab8e19347e310bb8) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>6fa5850
-
Upload to HuggingFace
6f593b1 -
initial commit
dcad3a3