Instructions to use TheCodingBug/Z-Image-Turbo-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheCodingBug/Z-Image-Turbo-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheCodingBug/Z-Image-Turbo-int8", 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
File size: 173 Bytes
8622ebe | 1 2 3 4 5 6 7 8 | {
"source_model": "Tongyi-MAI/Z-Image-Turbo",
"subfolder": "vae",
"architecture": "AutoencoderKL",
"quantization": "int8",
"quantizer": "SDNQ",
"group_size": 0
} |