Instructions to use Zunyi-Business-LORAs/Orange-Cat-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zunyi-Business-LORAs/Orange-Cat-models 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("Zunyi-Business-LORAs/Orange-Cat-models") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
橘猫模型(Orange-Cat-models)

- Prompt
- -

- Prompt
- -
Model description
Fluxgym训练后的模型,基于5张橘猫图生成的Lora模型。
Trained by Fluxgym, based on flux1-dev-fp8.safetensors. Five orange cat images(512 * 512), without any prompts.
Trigger words
You should use Orange-Cat to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Zunyi-Business-LORAs/Orange-Cat-models
Base model
black-forest-labs/FLUX.1-dev