Instructions to use teasan/Lemontea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use teasan/Lemontea with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("teasan/Lemontea", 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

- Xet hash:
- 7d4145ed0902bbaf7623c4d0ddc0adb22e7a655d7235414fe4836853ecaa73a7
- Size of remote file:
- 1.87 MB
- SHA256:
- dfe08434dbaca79eb788fa6c2be9f1e3464881c6db45e1ebc82f2bd223abb1f3
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