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README.md
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---
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library_name: diffusers
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---
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# MuLan Language Adapter
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What is it ?
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> We present MuLan, a versatile framework to equip any diffusion model with multilingual generation abilities natively by up to 110+ languages around the world. With properly trained text encoder from noisy data, we demonstrate that MuLan could be trained on English only data and support other languages zero-shot. Additionally, we introduce Language Adapter. A language adapter with less than 20M parameters, trained against a frozen denoiser and a text encoder, can be readily combined with any homologous community models/tools, such as LoRA, LCM, ControlNet, and IP-Adapter, without any finetuning.
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https://github.com/mulanai/MuLan
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Examples:
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```diff
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# pip install mulankit
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from diffusers import StableDiffusionPipeline
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+ import mulankit
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pipe = StableDiffusionPipeline.from_pretrained('Lykon/dreamshaper-8')
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+ pipe = mulankit.transform(pipe, 'mulanai/mulan-lang-adapter::sd15_aesthetic.pth')
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image = pipe('一只蓝色的🐶 in the 바다').images[0]
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```
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