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  - safetensors
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- # Lumina-Next-2B-HQ-Tuning
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- The `Lumina-Next-2B-HQ-TuningI` model uses Next-DiT with a 2B parameters model as well as using [Gemma-2B](https://huggingface.co/google/gemma-2b) as a text encoder. Compared with `Lumina-T2I`, it has faster inference speed, richer generation style, and more multilingual support, etc.
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  Our generative model has `Next-DiT` as the backbone, the text encoder is the `Gemma` 2B model, and the VAE uses a version of `sdxl` fine-tuned by stabilityai.
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+ # Lumina-Next-2B-HQ-SFT
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+ The `Lumina-Next-2B-HQ-SFT` model uses Next-DiT with a 2B parameters model as well as using [Gemma-2B](https://huggingface.co/google/gemma-2b) as a text encoder. Compared with `Lumina-T2I`, it has faster inference speed, richer generation style, and more multilingual support, etc.
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  Our generative model has `Next-DiT` as the backbone, the text encoder is the `Gemma` 2B model, and the VAE uses a version of `sdxl` fine-tuned by stabilityai.
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