Instructions to use MyneFactory/MF-KonoSuba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MyneFactory/MF-KonoSuba 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-KonoSuba", 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 unet/diffusion_pytorch_model.bin from MyneFactory/MF-KonoSuba: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/MyneFactory/MF-KonoSuba/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://MyneFactory/MF-KonoSuba/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/MyneFactory/MF-KonoSuba/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 87cea8194053fdf340d5d5d813b23d8a45eb9f4cceddfd1bddde4d550e00b424
- Size of remote file:
- 3.44 GB
- SHA256:
- c2c820f9b296154e60d6581c0bbd62cf95845f0ab2004e36e9ef3faf39a55ae3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.