Instructions to use VHKE/bacifi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/bacifi 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("VHKE/bacifi") prompt = "bacifi" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 1c21e3aabef61f323e13aeb51b3122314e5d7916c1b96327c775ebcc17c38826
- Size of remote file:
- 4.6 MB
- SHA256:
- 147a187bb37d2108454e2aab0c9af5f0c6217c9d0600af7860dc68b375c991b4
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