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
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Download README.md from Adam3/Michael-Kranz: direct link, hf CLI and curl.
- Browser
- Download file 361 Bytes
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https://huggingface.co/Adam3/Michael-Kranz/resolve/main/README.md
- Command line
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hf download hf://Adam3/Michael-Kranz/README.md
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curl -L -o README.md https://huggingface.co/Adam3/Michael-Kranz/resolve/main/README.md
361 Bytes
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/1001125444.jpg | |
| base_model: stabilityai/stable-diffusion-3-medium | |
| instance_prompt: null | |
| # Michael kranz | |
| <Gallery /> | |
| ## Download model | |
| [Download](/Adam3/Michael-Kranz/tree/main) them in the Files & versions tab. | |