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
Rename archer.png to samples/archer.png
Browse files- .gitattributes +1 -0
- archer.png → samples/archer.png +0 -0
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samples/dan-mumford-style.png filter=lfs diff=lfs merge=lfs -text
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archer.png filter=lfs diff=lfs merge=lfs -text
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dan-mumford-style.png filter=lfs diff=lfs merge=lfs -text
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samples/dan-mumford-style.png filter=lfs diff=lfs merge=lfs -text
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archer.png filter=lfs diff=lfs merge=lfs -text
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samples/archer.png filter=lfs diff=lfs merge=lfs -text
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archer.png → samples/archer.png
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