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", 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
- Draw Things
- DiffusionBee
- Xet hash:
- e6e420c52b96423eaa691194305220bb5e03410d09de1674d88c10be70ae166d
- Size of remote file:
- 167 MB
- SHA256:
- 4a72f8f9dc773f6bda497252f564fa876a097c0fa1c708d31e97b2d25a049281
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