Instructions to use AlexanderLab/lpnt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/lpnt 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("AlexanderLab/lpnt") prompt = "LPNT" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0ab833490afc7938431aa20b64ef69ad427dc2bfa0b84b586b5e9cf30f03edd4
- Size of remote file:
- 344 MB
- SHA256:
- 3e465dcf4257bff965d2beac2178f89e6877b90b1e48129b5c35ecc25824cd8e
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