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:
- 5cb70294648a7f5a46905141c9bd3404dec1589d69b5866bcf8e347c81120594
- Size of remote file:
- 172 MB
- SHA256:
- 691739d18caec906ace8ba2ee5254932c4f87a252bcca69e4f368fb9b0b14b3c
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