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

- Prompt
- catherinedeneuve
Model description
FROM https://civitai.com/models/1502212/catherine-deneuve
Please support the creator by donating BUZZ to the creator and LIKING at the page above
Trigger catherinedeneuve
Trigger words
You should use catherinedeneuve 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 Jonjew/CatherineDeneuve
Base model
black-forest-labs/FLUX.1-dev