Instructions to use Barathrum17/mateo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Barathrum17/mateo2 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("Barathrum17/mateo2") prompt = "zccz" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("Barathrum17/mateo2")
prompt = "zccz"
image = pipe(prompt).images[0]safs

- Prompt
- zccz
- Negative Prompt
- zczc
Trigger words
You should use m4t3o to trigger the image generation.
Download model
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Model tree for Barathrum17/mateo2
Base model
Tongyi-MAI/Z-Image-Turbo