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
- Xet hash:
- 59deb253240d8d649326a3c5be63a0112667199db0c8ac9724262a2cb830f2e3
- Size of remote file:
- 18.2 GB
- SHA256:
- 0975d6b77b5f510b99547d6724a208e36527df654e8f6134f59ece3f9f30da58
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