Instructions to use stablediffusionapi/cityedgemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/cityedgemix 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/cityedgemix", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d224162a9b01fd47ce7907cb0b88f68cdc8d519c3636cd60a5ef20f40b618ce3
- Size of remote file:
- 246 MB
- SHA256:
- 7eb0e91856d6b3e414419de34ad448c127bf19e3f780a70671eec2f4ddc40a26
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.