Instructions to use stablediffusionapi/yuarchitecturalrenderingmodelsd15v10-v10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/yuarchitecturalrenderingmodelsd15v10-v10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/yuarchitecturalrenderingmodelsd15v10-v10", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 43a01ef7d1882aeba689d8d788f987420becc0613c9ccfb6ed28b0a295c72273
- Size of remote file:
- 167 MB
- SHA256:
- 4c20229b203db1d0d52b448322d9c6ab47fd15123ffdd94115cbb2517648beea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.