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
Error on the node "Load CLIP"
#29
by yan1977 - opened
Also, If you have less than 16GB VRAM make sure you select the value as "CPU" under device for Load clip if you have decent RAM in your system.
An error pops up
Not sure but i think upgrading ComfyUI-GGUF to latest version in Manager fixed this
same error. all updated
same error. all updated
Update ComfyUI!
cd ComfyUI
git pull
