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
Update README.md
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README.md
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- output:
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url: samples/inside_job.png
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text: Inside Job style samples
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- output:
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url: samples/blue_eye_samurai.png
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text: Blue Eye Samurai style samples
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- output:
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url: samples/inside_job.png
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text: Inside Job style samples
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- output:
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url: samples/devil_may_cry.png
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text: Devil May Cry style samples
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- output:
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url: samples/blue_eye_samurai.png
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text: Blue Eye Samurai style samples
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