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
- Draw Things
- DiffusionBee

- Xet hash:
- 216d1623763f6f4ac11342cfae589c4488ee44654bd327aebee55be66d988df0
- Size of remote file:
- 1.62 MB
- SHA256:
- df94a83435662153b0acd407e5f009107e8249d6fcb1ccba9edbe323ff993e94
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