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
- Draw Things
- DiffusionBee
- Xet hash:
- 45d4e71618979e53001d17eaf99ec110039e1e8531b4980c79279b046b5e6edb
- Size of remote file:
- 10.3 GB
- SHA256:
- 3ccb42a73a1c2aadb97105d66fde7edaf5f6b57368d64b7a02e61ef220b7672b
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