Instructions to use Atomaton/stacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Atomaton/stacy 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("Atomaton/stacy") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 431 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/1x1_3.png
text: '-'
base_model:
- Tongyi-MAI/Z-Image
- Tongyi-MAI/Z-Image-Turbo
instance_prompt: stacy_slut
license: unknown
---
# Stacy
<Gallery />
## Trigger words
You should use `stacy_slut` to trigger the image generation.
## Download model
[Download](/Atomaton/stacy/tree/main) them in the Files & versions tab. |