Instructions to use MyneFactory/MF-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MyneFactory/MF-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MyneFactory/MF-Base", 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:
- 3050d61019ef347f3b30ea3700b44807240da97deec486dcf10211aed35c4386
- Size of remote file:
- 1.01 MB
- SHA256:
- fd6dc14c0a5998721cb88b414de6e0dcf16574cfadcbdfef2ca1c8df9732a97a
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