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:
- d8792239dd8d1dd20e25049de6c94c9f6b0f321426e80bdca05d69bfe0e7281c
- Size of remote file:
- 1.51 MB
- SHA256:
- ae3adab239916aba54b5014518c62e07ea94c210b4e98d24f956add5caaa9e09
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.