Instructions to use AlexanderLab/lvbrcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/lvbrcl 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/lvbrcl") prompt = "LVBRCL" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 43102bab81285dc71eee220f2ca273f04a8988cad9a3a41b39ffcc0ab89d52ee
- Size of remote file:
- 172 MB
- SHA256:
- d0de5e9595a0819f338fc767257dc039a5b4157a189122fa59ec304ec6456c20
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