Instructions to use liming518/zitpetite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/zitpetite 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("liming518/zitpetite") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload README.md
Browse files
README.md
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- output:
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url: images/0000_00002_.png
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text: '-'
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base_model: Tongyi-MAI/Z-Image-Turbo
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instance_prompt: null
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---
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# ZIT Mystic XXX v6
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<Gallery />
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## Download model
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[Download](/rachel-luxangel-ai/zit-mystic-xxx-v6/tree/main) them in the Files & versions tab.
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