Instructions to use ostris/Z-Image-De-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/Z-Image-De-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("ostris/Z-Image-De-Turbo", 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
The problem of training the Z-Image-De-Turbo model has been solved
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#7 opened 5 months ago
by
Liyan01
how to use model in Space
#6 opened 5 months ago
by
prokofyev8
Need improvement
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7
#5 opened 6 months ago
by
WAS
Much better than Lora
1
#4 opened 6 months ago
by
Disya
still finetuned zimage base can't beat nano banana pro
9
#3 opened 6 months ago
by
llamameta
Is the comfy format .safetensors trainable in AI Tookit ?
5
#2 opened 6 months ago
by
Zelgo
I cant wait!
4
#1 opened 6 months ago
by
Kutches