Instructions to use Jonjew/CatherineBachDaisyDuke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/CatherineBachDaisyDuke 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/CatherineBachDaisyDuke") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Catherine Bach (Daisy Duke)

- Prompt
- -
Model description
FROM https://civitai.com/models/1038232/catherine-bach-daisy-duke-flux?modelVersionId=1164596
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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 Jonjew/CatherineBachDaisyDuke
Base model
black-forest-labs/FLUX.1-dev