Instructions to use DeverStyle/Z-Image-loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeverStyle/Z-Image-loras 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("DeverStyle/Z-Image-loras") prompt = "Arcane style samples" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 55539f04070ba734da9775df00b63027f70df843eaf3b7add1e37e4362847299
- Size of remote file:
- 4.54 MB
- SHA256:
- bd14dfbb23794f1d1a4809155ee324c808e874878cb8395e59b23b8948cccd3c
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