Instructions to use Disty0/Z-Image-Turbo-SDNQ-uint4-svd-r32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/Z-Image-Turbo-SDNQ-uint4-svd-r32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/Z-Image-Turbo-SDNQ-uint4-svd-r32", 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
First time SD.Next user, what parameters should be used?
1
#13 opened 4 months ago
by
Eshemizu
HunyuanVideo-1.5 8 step support
1
#12 opened 6 months ago
by
ZKong