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:
- b93253b43ad934752c42a6cb5f9c4ee11a75465c4406c505f157d535b0a5915c
- Size of remote file:
- 23.4 MB
- SHA256:
- 0e60101dc3fc19e07bef7fd3b739a8bfc9fc6e11d07b4b0f2fd2534986a40467
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