Instructions to use NewtNewt/MESA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NewtNewt/MESA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NewtNewt/MESA", 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:
- d47b32faf101dd1a558c585ecdf6d69db39a3018305e5ce30347c633014f7fb4
- Size of remote file:
- 166 MB
- SHA256:
- 48818b358cdbc775fbd68f859c9215db3dbb11cd91833ff64abe309649d4f60f
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