Instructions to use jaahas/tomi-z-image-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jaahas/tomi-z-image-lora 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("jaahas/tomi-z-image-lora") prompt = "Tomi is a fruit salesman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9fba28edc863b53519140b9957c67276872f142066b6acff6b8d7dde96847f1f
- Size of remote file:
- 340 MB
- SHA256:
- 97f52eef54a82776a42766be9dff6754ed31b51a9f5e6f2776aa9006474dd5d0
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