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", torch_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
How to use this version in comfyui?
#2
by sunnyboxs - opened
How to use this version in comfyui?
@sunnyboxs for windows, you can also try
https://github.com/erosDiffusion/ComfyUI-ZImageDit
but it requires some manual pacakges installation for your embedded comfy ui
https://github.com/EnragedAntelope/comfyui-sdnq/issues/14
Can Anyone help i tried with comfyui mentioned above @NidAll
Only SD.Next and Diffusers / Transformers is supported by SDNQ.
Disty0 changed discussion status to closed