Text-to-Image
Diffusers
OpenVINO
ZImagePipeline
int4
optimum
optimum-intel
nncf
z-image
transformer
cpu
Instructions to use HelloSun/Z-Image-Turbo-OpenVINO-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloSun/Z-Image-Turbo-OpenVINO-INT4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HelloSun/Z-Image-Turbo-OpenVINO-INT4", 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
Download text_encoder/openvino_model.xml from HelloSun/Z-Image-Turbo-OpenVINO-INT4: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/HelloSun/Z-Image-Turbo-OpenVINO-INT4/resolve/main/text_encoder/openvino_model.xml
- Command line
-
hf download hf://HelloSun/Z-Image-Turbo-OpenVINO-INT4/text_encoder/openvino_model.xml
-
curl -L -o openvino_model.xml https://huggingface.co/HelloSun/Z-Image-Turbo-OpenVINO-INT4/resolve/main/text_encoder/openvino_model.xml
3.59 MB
File too large to display, you can check the raw version instead.