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| `NietaAniLumina_Alpha_full_round7_ep4_s68303.pth` | 截止至5月22日最新一个完整的epoch，分辨率为1280*1280。 | The latest complete epoch as of May 22nd, with a resolution of 1280*1280. |
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| `NietaAniLumina_Alpha_full_round5_ep5_s182000.pth` | 截止至5月8日，此为分辨率提升前的最后一个检查点(ckpt)，分辨率为1024*1024。 | As of May 8th, this was the last checkpoint (ckpt) before the resolution increase, with a resolution of 1024*1024. |
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### 模型介绍：
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欢迎体验 **
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这是一款由 [Nieta.art](https://nieta.art/) 团队基于优秀的开源模型 [Lumina-Image-2.0 by Alpha-VLLM](https://github.com/Alpha-VLLM/Lumina-Image-2.0) 进一步训练的二次元文本生成图像（T2I）模型。在训练过程中，我们利用了大量丰富、多样化的二次元图像数据集，并为其配备了高质量的自然语言处理（NLP）标签，力求模型能够更好地理解和诠释二次元相关的文本描述。
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### Model Introduction:
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Welcome to **
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This is an anime-style text-to-image (T2I) model further trained by the [Nieta.art](https://nieta.art/) team, based on the excellent open-source model [Lumina-Image-2.0 by Alpha-VLLM](https://github.com/Alpha-VLLM/Lumina-Image-2.0). During the training process, we utilized an extensive, rich, and diverse dataset of anime images, paired with high-quality Natural Language Processing (NLP) tags, striving for the model to better understand and interpret anime-related text descriptions.
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| `NietaAniLumina_Alpha_full_round7_ep4_s68303.pth` | 截止至5月22日最新一个完整的epoch，分辨率为1280*1280。 | The latest complete epoch as of May 22nd, with a resolution of 1280*1280. |
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| `NietaAniLumina_Alpha_full_round5_ep5_s182000.pth` | 截止至5月8日，此为分辨率提升前的最后一个检查点(ckpt)，分辨率为1024*1024。 | As of May 8th, this was the last checkpoint (ckpt) before the resolution increase, with a resolution of 1024*1024. |
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### 模型介绍：neta-art/NietaAniLumina_Alpha
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欢迎体验 **neta-art/NietaAniLumina_Alpha**！
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这是一款由 [Nieta.art](https://nieta.art/) 团队基于优秀的开源模型 [Lumina-Image-2.0 by Alpha-VLLM](https://github.com/Alpha-VLLM/Lumina-Image-2.0) 进一步训练的二次元文本生成图像（T2I）模型。在训练过程中，我们利用了大量丰富、多样化的二次元图像数据集，并为其配备了高质量的自然语言处理（NLP）标签，力求模型能够更好地理解和诠释二次元相关的文本描述。
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### Model Introduction: neta-art/NietaAniLumina_Alpha
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Welcome to **neta-art/NietaAniLumina_Alpha**!
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This is an anime-style text-to-image (T2I) model further trained by the [Nieta.art](https://nieta.art/) team, based on the excellent open-source model [Lumina-Image-2.0 by Alpha-VLLM](https://github.com/Alpha-VLLM/Lumina-Image-2.0). During the training process, we utilized an extensive, rich, and diverse dataset of anime images, paired with high-quality Natural Language Processing (NLP) tags, striving for the model to better understand and interpret anime-related text descriptions.
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