Instructions to use JoeProAI/Jobious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JoeProAI/Jobious 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("JoeProAI/Jobious") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5de57d39c5560c72f4389ba9b6dd88223efc674ec11f0fde62ed6ec96271167f
- Size of remote file:
- 49.6 MB
- SHA256:
- 4852686128f953d0277d0793e2f0335352f96a919c9c16a09787d77f55cbdf6f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.