Instructions to use junjuice0/VOXO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use junjuice0/VOXO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("junjuice0/VOXO", 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
Update README.md
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README.md
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[JOIN US(日本語)](https://discord.gg/ai-art)
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# RECOMMENDED
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It is recommended to use TIs such as bad-images or bad-prompt for negative prompts. Also, quality prompts (e.g. masterpiece, high quality) are not required.
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[JOIN US(日本語)](https://discord.gg/ai-art)
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# VOXO-Vtuber (VOXO-v0-vtuber.safetensor)
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This model can generate vtubers for Hololive and Nijisanji.
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Some vtubers may or may not come out well.
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It is recommended to give the name a weight of about 1.2 (e.g. (ange katrina:1.2))
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# RECOMMENDED
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It is recommended to use TIs such as bad-images or bad-prompt for negative prompts. Also, quality prompts (e.g. masterpiece, high quality) are not required.
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