Instructions to use codewithRiz/janu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codewithRiz/janu 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("codewithRiz/janu") prompt = "janujr a man in a black suit and tie standing" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Size of remote file:
- 361 kB
- SHA256:
- 097bbf0f0b88164c95ad89cbae0f1c9c84c80bfaf570363f2dd531a8b8a99a88
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