Instructions to use burhansyam/catheez with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use burhansyam/catheez 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("burhansyam/catheez") prompt = "one lady" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Catherine Alicia

- Prompt
- one lady
Trigger words
You should use lady to trigger the image generation.
You should use girl to trigger the image generation.
You should use catheez to trigger the image generation.
You should use woman 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 burhansyam/catheez
Base model
black-forest-labs/FLUX.1-dev