Instructions to use TaiMingLu/diffusion-architecture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TaiMingLu/diffusion-architecture 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TaiMingLu/diffusion-architecture") prompt = "A photo of Johns Hopkins University Modern Building" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 30adadf44af939817534593f87e7117b06417e8a15634cb8f21da7cd0559dad8
- Size of remote file:
- 1.5 MB
- SHA256:
- f7caee03b6045f05d320bc7fa32de53a6f39e903df4174c203c0b7a1b3c1b1e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.