Instructions to use AlexanderLab/bgg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/bgg 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/bgg") prompt = "BGG" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 16569f664b313eb3c5229e23e94802ac6fa7596c02200663be415f3d29154820
- Size of remote file:
- 344 MB
- SHA256:
- dc7edddc69c60740bce7228ecdc8d898813220b34b23fff142964b64a1cd0d8a
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