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
Download vae/diffusion_pytorch_model.bin from MyneFactory/MF-Base: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/MyneFactory/MF-Base/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://MyneFactory/MF-Base/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/MyneFactory/MF-Base/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 3678a7c8e187be301b71539dd2ad82da55646e5f66062a9c2fc6b3df398db191
- Size of remote file:
- 335 MB
- SHA256:
- 6e20f5df1c5196f0caa2f777d2ed840f5517f5775f98c38bd6595c31aaea40c3
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