Instructions to use AngelUrq/lonchera-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AngelUrq/lonchera-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AngelUrq/lonchera-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "lonchera" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 7be6a474d8b23e97e885fd41a8254b3fc425ac9fc9bb5e2f231b31055acafca7
- Size of remote file:
- 1.36 GB
- SHA256:
- 6210d9087cca3122f16faa5c2d97600d83816be3c2b2f324425633ee171bfc40
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