Instructions to use stablediffusionapi/lofi-v5-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/lofi-v5-final 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/lofi-v5-final", 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:
- 4e19e107f64b84e8db66bccdae626c04dc09f0373bc711bf0bf1a097470585d4
- Size of remote file:
- 246 MB
- SHA256:
- dbf0d30bc61cbc70ad2a6e34b7889a61c016dc5385090fe43e2fb18330eb5044
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.