Instructions to use Jonjew/KatarinaWitt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/KatarinaWitt 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("Jonjew/KatarinaWitt") prompt = "k4t1" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Katarina Witt
.png)
- Prompt
- k4t1
Model description
FROM https://civitai.com/models/1444788/katarina-witt-olympian?modelVersionId=1633309
Please support the creator by donating buzz and liking at the page above!
Trigger k4t1
Trigger words
You should use k4t1 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 14
Model tree for Jonjew/KatarinaWitt
Base model
black-forest-labs/FLUX.1-dev