Instructions to use AIARTCHAN/7pa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIARTCHAN/7pa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIARTCHAN/7pa", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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# Download
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- [original 4.27GB](https://civitai.com/api/download/models/15869)
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7th anime v3 + 파스텔 + 어비스오렌지2(sfw)
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# Download
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- [original 4.27GB](https://civitai.com/api/download/models/15869)
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- [fp16 2.13GB](https://huggingface.co/AIARTCHAN/7pa/blob/main/7pa-fp16.safetensors)
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7th anime v3 + 파스텔 + 어비스오렌지2(sfw)
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