Instructions to use Jonjew/LindaKaye with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/LindaKaye 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/LindaKaye") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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/LindaKaye")
prompt = "-"
image = pipe(prompt).images[0]Linda Kaye Petticoat Junction by nobodyishome

- Prompt
- -
Model description
FROM https://civitai.com/models/1513549/linda-kaye
Please support the creator by donating BUZZ to the creator and LIKING at the page above
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
black-forest-labs/FLUX.1-dev