Instructions to use pascalrascal777/LMFOOTMASKNEW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pascalrascal777/LMFOOTMASKNEW 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("pascalrascal777/LMFOOTMASKNEW") prompt = "LMFOOTMASKNEW" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- aa1933175936cc139b9dd0b570b7dfaa0d2850de3919de5f5b93bef8a4c03eb8
- Size of remote file:
- 172 MB
- SHA256:
- 5495b259f3184ccbb08ec0c190537f110d576241415f8a9688b8de9c5315b4c7
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