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
Intial Commit
Browse files- .gitattributes +6 -0
- z_image_turbo-Q5_0.gguf +3 -0
- z_image_turbo-Q5_1.gguf +3 -0
- z_image_turbo-Q5_K_M.gguf +3 -0
- z_image_turbo-Q5_K_S.gguf +3 -0
- z_image_turbo-Q6_K.gguf +3 -0
- z_image_turbo-Q8_0.gguf +3 -0
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