Instructions to use vantagewithai/Z-Image-Turbo-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vantagewithai/Z-Image-Turbo-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vantagewithai/Z-Image-Turbo-GGUF", 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
- Xet hash:
- 37150ff35c142329dba99b3a0f88f3bed3fdeb03c2135c51fcc899d506dad564
- Size of remote file:
- 7.22 GB
- SHA256:
- c5a3e6f620bced400d0e0e7036deea91d3a907577c6f9a5cecf32c93d3593de0
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