Instructions to use mhohenwald/markushohenwald with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mhohenwald/markushohenwald with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mhohenwald/markushohenwald") prompt = "portrait of MARKUSHOHENWALD" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
markushohenwald

- Prompt
- portrait of MARKUSHOHENWALD
Model description
it's me
Trigger words
You should use MARKUSHOHENWALD to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mhohenwald/markushohenwald
Base model
black-forest-labs/FLUX.1-dev