Instructions to use jacobposel/ruby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jacobposel/ruby 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("jacobposel/ruby") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ff4e3d517349633806a865f7d5080d9d7414113598f12ed81b1c2a5550eb39cf
- Size of remote file:
- 172 MB
- SHA256:
- 4acc24f7ff3a861b1599a07a27e145cc0cd2f36634264070fc31b4a74df692b4
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