Instructions to use Rin247/Z-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/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("Rin247/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
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README.md
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| CFG / Guidance scale | 4.0 |
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| Resolution | 1024x1024 |
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| Notes | Standard |
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| CFG / Guidance scale | 4.0 |
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| Resolution | 1024x1024 |
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| Notes | Standard |
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## Example prompt
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See the source model card for example prompts and usage.
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