Instructions to use thatboymentor/9bbb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thatboymentor/9bbb 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("thatboymentor/9bbb") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/hf_20260214_130321_3cb2af95-5f06-4d3b-808f-0f0ae65c3902.png | |
| text: '-' | |
| base_model: Tongyi-MAI/Z-Image-Turbo | |
| instance_prompt: shlyapa | |
| license: openrail | |
| # 9bbbbbbbb | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `shlyapa` to trigger the image generation. | |
| ## Download model | |
| [Download](/m33nt0r/9bbb/tree/main) them in the Files & versions tab. | |