Instructions to use Nurburgring/BEYOND_REALITY_Z_IMAGE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nurburgring/BEYOND_REALITY_Z_IMAGE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nurburgring/BEYOND_REALITY_Z_IMAGE", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -38,6 +38,9 @@ euler+simple 采样器调度器
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善用SeedVarianceEnhancer等节点,增加画面的多样性表达
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优化了一些艺术风格的支持与二次元动漫的表现。
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Nunchaku量化版 by tonera(感谢):
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https://modelscope.cn/models/tonera/Beyond_Reality_Zimage_v2_svdq/summary
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善用SeedVarianceEnhancer等节点,增加画面的多样性表达
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优化了一些艺术风格的支持与二次元动漫的表现。
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更新lora训练适配器,注意,是本淡妆浓抹 3.0 模型的的lora训练专用,重点是diffusion,diffusion是新的训练才是新的,适配器是adapter,Rebuild版底模支持在此适配器上训练,可在aitoolkit中替换并微调自己专属lora。注意,不同于官方底模,是专用于本模型底模的训练适配器,感谢@Laushine制作,请改扩展名为ZIP后解压使用。
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https://www.modelscope.cn/models/Nurburgring/BEYOND_REALITY_Z_IMAGE/summary?version=20260206135410
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Nunchaku量化版 by tonera(感谢):
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https://modelscope.cn/models/tonera/Beyond_Reality_Zimage_v2_svdq/summary
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