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:
- 38f6a3700c724273e86f8f303b8db9e4709f921876c62e5fe877f32fd520f978
- Size of remote file:
- 4.47 MB
- SHA256:
- 32c89eb3300b4a44c694893d015c67cfb8d07199423d511fcd996caf7d1fc9e8
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