Instructions to use MirageML/lowpoly-game-building with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/lowpoly-game-building 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-game-building", 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
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (5b2373b185371cf6cd9dcc3d894e5d15bf0690fe) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>27cb54b
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Add `scale_factor` to vae config. (#3)
- Add `scale_factor` to vae config. (19df831b9ca9051f87d3fab1c2605f108004bf59) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>ad087d7
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (ac039ea838c6f6b6522f814c80527ec2de92f0c2) Co-authored-by: Brendan Trueb <mindsailor@users.noreply.huggingface.co>4921be2
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Upload to HuggingFace
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initial commit
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