Instructions to use pbantolas/pbantolas-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pbantolas/pbantolas-lora 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("pbantolas/pbantolas-lora") prompt = "pbantolas" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 00fb18e9e7daab2785168773a3d31af70ad4d8a0e2212802666c2ebb6e7e7d69
- Size of remote file:
- 173 MB
- SHA256:
- c613d91b1b6ed408deadf80f6c59860ccf9adf21740c6a53e2b795e14cf8ff8d
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