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
Upload BEYOND REALITY SUPER Z IMAGE 3.0 淡妆浓抹 BF16.safetensors
Browse files个人微调版 Z image turbo 淡妆浓抹 3.0发布
Z TURBO REBUILD , 更好的色彩光影表现,更细腻的纹理细节呈现。
比 Z image turbo 更多的艺术风格支持,比 Z image base 更快的生成速度。
CFG:1,10~15步,
euler+simple 采样器调度器
善用SeedVarianceEnhancer等节点,增加画面的多样性表达
欢迎各位试用
https://www.modelscope.cn/models/Nurburgring/BEYOND_REALITY_Z_IMAGE/summary?version=20260201003445
https://civitai.com/models/1090420?modelVersionId=2648189
BEYOND REALITY SUPER Z IMAGE 3.0 淡妆浓抹 BF16.safetensors
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size 12309881296
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