Instructions to use Matb09/lawn-mower with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matb09/lawn-mower 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("Matb09/lawn-mower") prompt = "Photo of a lawn mower" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1f7d56f33f6b4ab9444db6a2121ec6183a6fd28c56e128eff1ed4bfbd9baf1a9
- Size of remote file:
- 173 MB
- SHA256:
- 1696d3f82531930feff4bedae8b5116e901f070020e7fcfce3a12b3ecb7104aa
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