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
Upload README.md with huggingface_hub
Browse files
README.md
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| Negative prompt | supported (optional) |
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| Notes | Undistilled foundation; good for LoRA/ControlNet |
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## Example prompt
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> Two young women standing close together against a plain grey textured wall, casual fashion photography, soft natural lighting, neutral tones.
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## Example prompts
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Fashion photography:
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Scenery:
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| Negative prompt | supported (optional) |
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| Notes | Undistilled foundation; good for LoRA/ControlNet |
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## Example prompts
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Fashion photography (magazine cover style):
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Fashion photography, magazine cover style: a model in haute couture, dramatic rim lighting, bold typography overlay, Vogue editorial, high contrast, cinematic, 8K, sharp focus.
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Scenery:
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Scenery: a serene mountain lake at sunrise, mist over the water, snow-capped peaks in the distance, golden light, photorealistic, wide angle.
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```
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