Instructions to use chrismasch/whtsnk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chrismasch/whtsnk 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("chrismasch/whtsnk") prompt = "A photo of a pair of whtsnk with a low-top design in the style of whtsnk. The whtsnk feature a clean, minimalist look with perforations on the toe box for breathability and white laces. The sole is white, with a textured pattern for traction." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!