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:
- 1e9923485e5242dc0726f635df384fd72aae7768049e886920d1e6282fbc3044
- Size of remote file:
- 2.58 GB
- SHA256:
- 6884c14e19c7ca601dc5bd86aa4a4b7e2c203b5540083e085e5b0d037b127c67
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