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 example pictures/15.png from MyneFactory/MF-KonoSuba: direct link, hf CLI and curl.
- Browser
- Download file 1.07 MB
-
https://huggingface.co/MyneFactory/MF-KonoSuba/resolve/1a72437ac2b96cd575d0be7e5b97bca8491ef2df/example%20pictures/15.png
- Command line
-
hf download 'hf://MyneFactory/MF-KonoSuba@1a72437ac2b96cd575d0be7e5b97bca8491ef2df/example pictures/15.png'
-
curl -L -o 15.png https://huggingface.co/MyneFactory/MF-KonoSuba/resolve/1a72437ac2b96cd575d0be7e5b97bca8491ef2df/example%20pictures/15.png
1.07 MB

- Xet hash:
- faea7470ef928c8bd8b06e22fe21825db9b2243a32380a4894d8aeb455612aff
- Size of remote file:
- 1.07 MB
- SHA256:
- 6f534c544d4c63bd0f9928544304819fcbb0dcb3c73117a860286249990e0830
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