Instructions to use pascalrascal777/LMFOOTMASK2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pascalrascal777/LMFOOTMASK2 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/LMFOOTMASK2") prompt = "LMFOOTMASK2" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8616b31f89bea00f7295470519b68d1a744e6ca3867d635528c752d5097c6975
- Size of remote file:
- 172 MB
- SHA256:
- 11b891d9624ab60cc8695c92afa0a5447cb9d09e50ddc2d7ab7b44a862820513
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