Instructions to use Thekingbalxd/Z-Image-SDNQ-float4e2m1fn-svd-r32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thekingbalxd/Z-Image-SDNQ-float4e2m1fn-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("Thekingbalxd/Z-Image-SDNQ-float4e2m1fn-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 Settings
- Draw Things
- DiffusionBee
README.md exists but content is empty.
- Downloads last month
- 2
Model tree for Thekingbalxd/Z-Image-SDNQ-float4e2m1fn-svd-r32
Base model
Tongyi-MAI/Z-Image