Instructions to use Ttio2/Z-Image-Turbo-pencil-sketch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ttio2/Z-Image-Turbo-pencil-sketch 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("Ttio2/Z-Image-Turbo-pencil-sketch") prompt = "A color pencil sketch of a gaming desktop" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ZImage-pencil-sketch

- Prompt
- A color pencil sketch of a gaming desktop

- Prompt
- A color pencil sketch of Apple Logo

- Prompt
- A color pencil sketch of a woman wearing yellow dress and red hat

- Prompt
- pencil sketch of a men playing basketball

- Prompt
- A color pencil sketch of red panda

- Prompt
- a pencil sketch of Lionel Messi

- Prompt
- a pencil sketch of the white house
Model description
This model is a LoRA trained on pencil sketch arts for Z-Image Turbo.
No trigger words are needed when using in ComfyUI.
Detailed guide on how to train it locally (can use a 12GB VRAM GPU such as RTX 3060)
For how to use it in ComfyUI, check out the Youtube video
Download model
Download them in the Files & versions tab.
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Model tree for Ttio2/Z-Image-Turbo-pencil-sketch
Base model
Tongyi-MAI/Z-Image-Turbo