Instructions to use janiluuk/cat-2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janiluuk/cat-2026 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("janiluuk/cat-2026") prompt = "a cat head with open eyes in center of image front of flowers on black background, cat head silhouette style in front of flowers, folk digital vector graphics, rich contrasting color palette, high contrast, matte black background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
cat-2026
A Flux LoRA trained on a local computer with Fluxgym
Trigger words
You should use a cat head with open eyes in center of image front of flowers on black background, cat head silhouette style in front of flowers, folk digital vector graphics, rich contrasting color palette, high contrast, matte black background to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for janiluuk/cat-2026
Base model
black-forest-labs/FLUX.1-schnell