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
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README.md
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license: apache-2.0
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base_model:
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- Tongyi-MAI/Z-Image-Turbo
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license: apache-2.0
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base_model:
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- Tongyi-MAI/Z-Image-Turbo
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tags:
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- z-image
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- lora
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- style
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---
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### List of models
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#### Arcane style Z-Image-Turbo (ZiT) lora
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No trigger word needed.
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