Instructions to use Alex2422/amayalora2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alex2422/amayalora2 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alex2422/amayalora2") prompt = "12" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/amaya_011.png
text: '12'
parameters:
negative_prompt: '12'
base_model: Tongyi-MAI/Z-Image
instance_prompt: amaya
license: apache-2.0
amayalora2

- Prompt
- 12
- Negative Prompt
- 12
Model description
122
Trigger words
You should use amaya to trigger the image generation.
Download model
Download them in the Files & versions tab.