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
Update README.md
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README.md
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- output:
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url: images/1x1_3.png
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text: '-'
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base_model:
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instance_prompt: stacy_slut
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license: unknown
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---
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## Download model
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[Download](/Atomaton/stacy/tree/main) them in the Files & versions tab.
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- output:
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url: images/1x1_3.png
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text: '-'
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base_model:
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- Tongyi-MAI/Z-Image
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- Tongyi-MAI/Z-Image-Turbo
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instance_prompt: stacy_slut
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license: unknown
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---
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## Download model
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[Download](/Atomaton/stacy/tree/main) them in the Files & versions tab.
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