Instructions to use Hashintha/interior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hashintha/interior 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("Hashintha/interior") prompt = "interior" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 1b989a0f45278b31baa309b49429e736a2ac307d3ed7584f6cc9803c2b113e60
- Size of remote file:
- 172 MB
- SHA256:
- 13cf20bebedac79e06fd45e3aee7fc4548c64fdddd7769374ce4789e27f0cef2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.