Instructions to use Muapi/mechanical-engine-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mechanical-engine-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/mechanical-engine-style") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 66352982a424b36a3e80b4817289023274d72f4232e828cf04d5d1a71ff3ca1e
- Size of remote file:
- 1.24 MB
- SHA256:
- cc2f4844f1211b932bf830b1d27edd8581f4864c8c8b1c29e017ff587404e3e1
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