Instructions to use Tongyi-MAI/Z-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tongyi-MAI/Z-Image-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux2 vae support?
#39
by nxsimon - opened
i am thinking if there is a way to bridge it to use FLUX 2 vae? it seems that the newer vae has better reconstruction quality.
The Flux1 AE is still good. Needs an adapter or a retrain for the Flux2 AE
The Flux1 AE is still good. Needs an adapter or a retrain for the Flux2 AE
your name qpqpqpqpqpqp is interesting
your name qpqpqpqpqpqp is interesting
I am an alt