Instructions to use Moibe/localYamer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Moibe/localYamer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Moibe/localYamer", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 50dd64e3f28055bb81633f819139e61a180a6891ad58c28e8b9d09cd61e92c68
- Size of remote file:
- 335 MB
- SHA256:
- 50184189ffce8c790fd07563e4bc592775e0c644031dfed2e4615c8c6ff534ea
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