Instructions to use FutureAILab/Z-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FutureAILab/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("FutureAILab/Z-Image", torch_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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## 🖼️ Showcase
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📸 **Hinata Hyuga LoRA Example Image**
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. For the official repository, please visit this [link](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo).
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## 🖼️ Showcase
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📸 **Hinata Hyuga LoRA Example Image**
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## 🧠 Repository Description
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This repository stores the author's research outputs related to Z-Image (e.g., LoRAs). For the official repository, please visit this [link](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo).
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