Instructions to use cactusfriend/purelongfurby-z with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cactusfriend/purelongfurby-z with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cactusfriend/purelongfurby-z") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
pure long furby

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Model description
Another attempt at long furby, this time leaving any meta/foofurby images out of the dataset.
Trigger words
You should use longfurby to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for cactusfriend/purelongfurby-z
Base model
Tongyi-MAI/Z-Image-Turbo