Instructions to use ostris/z_image_turbo_childrens_drawings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/z_image_turbo_childrens_drawings with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/z_image_turbo_childrens_drawings") prompt = "woman with red hair, playing chess at the park, bomb going off in the background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Z-Image-Turbo - Children's Drawings

- Prompt
- woman with red hair, playing chess at the park, bomb going off in the background

- Prompt
- a woman holding a coffee cup, in a beanie, sitting at a cafe

- Prompt
- a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini

- Prompt
- woman playing the guitar, on stage, singing a song, laser lights, punk rocker

- Prompt
- a man holding a sign that says, 'this is a sign'

- Prompt
- a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle
Model description
This LoRA will turn any prompt into a child's drawing. This LoRA was trained during filming a tutorial How to Train a Z-Image-Turbo LoRA with AI Toolkit
Download model
Download them in the Files & versions tab.
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Model tree for ostris/z_image_turbo_childrens_drawings
Base model
Tongyi-MAI/Z-Image-Turbo