Instructions to use Anzhc/Z-Image_Anime_VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Anzhc/Z-Image_Anime_VAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Anzhc/Z-Image_Anime_VAE", 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
Z-Image_Anime_VAE是如何训练的呢?
#2
by kingpyfiou - opened
我只找到类似lora,或者SD,FLUX ,vae训练的教程和工具。 Z-Image使用什么工具或者脚本训练?
Idk, im not quite sure what you mean eihe,r probably meaning lost in translation.
If you mean lora training for z-image, probably all major trainers have it, but i personally don't train it so idk.
Anzhc changed discussion status to closed
vae训练