Instructions to use dvyio/flux-lora-guess-who with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dvyio/flux-lora-guess-who 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("dvyio/flux-lora-guess-who") prompt = "Britney Spears, illustration in the style of GSSWH, white text underneath \"BRITNEY\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f9886f5ef31f7169c4870f4a36cea5592786ca5aa28f84d63ab15d53e3365e6a
- Size of remote file:
- 89.7 MB
- SHA256:
- 65906155e364e1988cb0ca0bebb5322d76cba3242b78333d909cad54159e4482
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.