Instructions to use ColaChameleon/blackcat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ColaChameleon/blackcat 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("ColaChameleon/blackcat") prompt = "BlackCat, a woman with white hair and a black mask, wears a black body suit with white fur and cleavage. she is unzipping en body suit. In the background, spiderman is holding his face <lora:BlackCat:0.9>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
blackcat

- Prompt
- BlackCat, a woman with white hair and a black mask, wears a black body suit with white fur and cleavage. she is unzipping en body suit. In the background, spiderman is holding his face <lora:BlackCat:0.9>
Trigger words
You should use BlackCat to trigger the image generation.
You should use a woman with white hair and a black mask and black bodysuit with white fur to trigger the image generation.
You should use white gloves and white boots. 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 ColaChameleon/blackcat
Base model
black-forest-labs/FLUX.1-dev