Instructions to use AlexanderLab/vcbrc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/vcbrc 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlexanderLab/vcbrc") prompt = "VCBRC" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dbcebced43201a5512a36dacb669019ce1b6e8ef25b700498db64be66f4843b6
- Size of remote file:
- 344 MB
- SHA256:
- d5833256c5b7301f4f7e8e1b7311aaedc554f7b11b407d45483ac40b676b09f4
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