Instructions to use T5B/Z-Image-Turbo-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use T5B/Z-Image-Turbo-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("T5B/Z-Image-Turbo-FP8", 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
- Draw Things
- DiffusionBee
Guide to load this model
#3
by tuandao-zenai - opened
Hi, I am struggling to load this model, it is hard to find example code to load this model using diffursers, could you show me how to load and infer it in fp8 using diffusers?
Thanks!
I am too interested in this, could you please elaborate on the usage with standalone python or diffusers? Thank you very much.
Yeah same