Instructions to use bhomik7/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bhomik7/output_dir with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bhomik7/output_dir") prompt = "An elegant UI for an eccomerce website" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4a41f7bd9e7bb864edbcd7712fe15e90edfa059fc3c5c43df95f955f43bfe6d1
- Size of remote file:
- 9.71 MB
- SHA256:
- 7488fa7b68a1dd3dd4087c78786bda124e190b9262d98216cf98154a778413db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.