Instructions to use Adam3/Michael-Kranz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Adam3/Michael-Kranz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Adam3/Michael-Kranz") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Michael Kranz (8).zip from Adam3/Michael-Kranz: direct link, hf CLI and curl.
- Browser
- Download file 107 MB
-
https://huggingface.co/Adam3/Michael-Kranz/resolve/main/Michael%20Kranz%20(8).zip
- Command line
-
hf download 'hf://Adam3/Michael-Kranz/Michael Kranz (8).zip'
-
curl -L -o 'Michael Kranz (8).zip' 'https://huggingface.co/Adam3/Michael-Kranz/resolve/main/Michael%20Kranz%20(8).zip'
107 MB
- Xet hash:
- b60a5a7821c6ec8a2c07b67a26891b465208d997e3ef812507012981c7662519
- Size of remote file:
- 107 MB
- SHA256:
- e75ac4b409581698c9981b520883cf86c153865e801afed46e82fdc813c1ac83
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