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+ "description": "<p>Christmas is just around the corner 🎄 Today we (<strong>NewBieAi-Lab</strong>) are excited to release <strong>NewBie image Exp0.1</strong>!<br />Also, I’d love to recommend a song I really enjoy: <strong>“52 Hearts.”</strong> It fits the season perfectly.<br />Wishing you all a wonderful Christmas and a relaxing holiday—have fun and enjoy! ✨</p>",
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+ "name": "NewBie image",
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+ "description": "<h1 id=\"newbie-image-exp0.1\"><strong>NewBie image Exp0.1</strong></h1><p><img src=\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/20bec9e6-a22e-421e-a570-8f8e2f1f8a50/width=525/20bec9e6-a22e-421e-a570-8f8e2f1f8a50.jpeg\" /></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/NewBieAI-Lab/NewBie-image-Exp0.1\">GitHub (Code)</a></p></li></ul><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/NewBieAI-Lab/NewbieLoraTrainer\">GitHub (LoRA Trainer)</a></p></li></ul><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/E-Anlia/ComfyUI-NewBie\">GitHub (ComfyUI)</a></p></li></ul><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1\">Hugging Face</a></p></li></ul><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/NewBieAi-lab/NewBie-image-Exp0.1\">ModelScope</a></p></li></ul><h3 id=\"exp0.1-base\"><strong><em>🧱 </em>Exp0.1 Base</strong></h3><ul><li><p><strong>NewBie image Exp0.1</strong> is a <strong>3.5B</strong> parameter DiT model developed through research on the Lumina architecture.</p><p>Building on these insights, it adopts Next-DiT as the foundation to design a new NewBie architecture tailored for text-to-image generation.</p><p>The <em>NewBie image Exp0.1</em> model is trained within this newly constructed system, representing the first experimental release of the NewBie text-to-image generation framework.</p></li></ul><p><strong><em>Text Encoders</em></strong></p><ul><li><p>We use Gemma3-4B-it as the primary text encoder, conditioning on its penultimate-layer token hidden states. We also extract pooled text features from Jina CLIP v2, project them, and fuse them into the time/AdaLN conditioning pathway. Together, Gemma3-4B-it and Jina CLIP v2 provide strong prompt understanding and improved instruction adherence.</p></li></ul><p><strong><em>VAE</em></strong></p><ul><li><p>Use the FLUX.1-dev 16channel VAE to encode images into latents, delivering richer, smoother color rendering and finer texture detail helping safeguard the stunning visual quality of NewBie image Exp0.1.</p></li></ul><p><strong><em>Prompt</em></strong></p><ul><li><p>XML structured prompt</p></li><li><p>Natural language prompt</p></li><li><p>Tag prompt</p></li></ul><h3 id=\"task-type\"><strong>🖼️ Task type</strong></h3><p><strong>NewBie image Exp0.1</strong> is pretrain on a large corpus of high-quality anime data, enabling the model to generate remarkably detailed and visually striking anime style images.</p><p><img src=\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f0faf6da-f5f3-4969-93ba-e70170aac56d/width=525/f0faf6da-f5f3-4969-93ba-e70170aac56d.jpeg\" />We reformatted the dataset text into an <strong>XML structured format</strong> for our experiments. Empirically, this improved attention binding and attribute/element disentanglement, and also led to faster convergence.</p><p>Besides that, It also supports natural language and tags inputs.</p><h3 id=\"model-zoo\"><strong>🧰 Model Zoo</strong></h3><p><strong>NewBie image Exp0.1: </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1\"><strong>Hugging face</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/NewBieAi-lab/NewBie-image-Exp0.1\"><strong>modelscope</strong></a></p><p><strong>Gemma3-4B-it: </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/google/gemma-3-4b-it\"><strong>Hugging face</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/google/gemma-3-4b-it\"><strong>modelscope</strong></a></p><p><strong>Jina CLIP v2: </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/jinaai/jina-clip-v2\"><strong>Hugging face</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/jinaai/jina-clip-v2\"><strong>modelscope</strong></a></p><p><strong>FLUX.1-dev VAE: </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/vae/diffusion_pytorch_model.safetensors\"><strong>Hugging face</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/black-forest-labs/FLUX.1-dev/tree/master/vae\"><strong>modelscope</strong></a></p><h3 id=\"training-procedure\"><strong>💪 Training procedure</strong></h3><p><img src=\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7c61edfd-5558-4129-b780-f2669e67ce53/width=525/7c61edfd-5558-4129-b780-f2669e67ce53.jpeg\" /></p><h3 id=\"participate\"><strong>🔬 Participate</strong></h3><p><strong><em>Core</em></strong></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/E-Anlia\"><strong>Anlia</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/CreeperMZ\"><strong>CreeperMZ</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/LAXMAYDAY\"><strong>L_A_X</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/maikaaomi\"><strong>maikaaomi</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/xuefei123456\"><strong>waw1w1</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/LakiCat\"><strong>LakiCat</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/windsingai\"><strong>chenkin</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/aplx\"><strong>aplxaplx</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/GuChen\"><strong>NULL</strong></a></p></li></ul><p><strong><em>Members</em></strong></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/niangao233\"><strong>niangao233</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/ginkgowm\"><strong>ginkgowm</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/leafmoone\"><strong>leafmoone</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/NaviVoid\"><strong>NaviVoid</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Emita\"><strong>Emita</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/TLFZ\"><strong>TLFZ</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/3HOOO\"><strong>3HOOO</strong></a></p></li></ul><p></p><h3 id=\"acknowledgments\"><strong>✨ Acknowledgments</strong></h3><ul><li><p>Thanks to the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Alpha-VLLM\">Alpha-VLLM Org</a> for open sourcing the advanced <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/collections/Alpha-VLLM/lumina-family\">Lumina family</a>. which has been invaluable for our research.</p></li></ul><ul><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/google\">Google</a> for open sourcing the powerful <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/google/gemma-3-4b-it\">Gemma3</a> LLM family</p></li><li><p>Thanks to the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/jinaai\">Jina AI Org</a> for open sourcing the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/jinaai/jina-clip-v2\">Jina</a> family, enabling further research.</p></li><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/black-forest-labs\">Black Forest Labs</a> for open sourcing the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/vae\">FLUX VAE</a> family. powerful 16channel VAE is one of the key components behind improved image quality.</p></li></ul><ul><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/neta-art\">Neta.art</a> for fine-tuning and open sourcing the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Alpha-VLLM/Lumina-Image-2.0\">Lumina-image-2.0</a> base model. <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/neta-art/Neta-Lumina\">Neta-Lumina</a> gives us the opportunity to study the performance of Next-DiT on Anime Types.</p></li><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/deepghs\">DeepGHS</a>/<a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/narugo1992\">narugo1992</a>/<a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/SumomoLee\">SumomoLee</a> for providing high-quality Anime Datasets.</p></li><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/nyanko7\">Nyanko</a> for the early help and support.</p></li><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/woctordho\">woctordho</a> for helping improve NewBie’s compatibility with community tools.</p></li></ul><h3 id=\"contribute\"><strong>📖 Contribute</strong></h3><ul><li><p><em>Neko, 衡鲍, XiaoLxl, xChenNing, Hapless, Lius</em></p></li><li><p><em>WindySea, 秋麒麟热茶, 古柯, Rnglg2, Ly, GHOSTLXH</em></p></li><li><p><em>Sarara, Seina, KKT机器人, NoirAlmondL, 天满, 暂时</em></p></li><li><p><em>Wenaka喵, ZhiHu, BounDless, DetaDT, 紫影のソナーニル</em></p></li><li><p><em>花火流光, R3DeK, 圣人A, 王王玉, 乾坤君Sennke, 砚青</em></p></li><li><p><em>Heathcliff01, 无音, MonitaChan, WhyPing, TangRenLan</em></p></li><li><p><em>HomemDesgraca, EPIC, ARKBIRD, Talan, 448, Hugs288</em></p></li></ul><h3 id=\"community-guide\"><strong>🧭 Community Guide</strong></h3><p><strong><em>Getting Started Guide</em></strong></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://ai.feishu.cn/wiki/NZl9wm7V1iuNzmkRKCUcb1USnsh\">English</a></p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://ai.feishu.cn/wiki/P3sgwUUjWih8ZWkpr0WcwXSMnTb\">中文</a></p></li></ul><p><strong><em>LoRa Trainer</em></strong></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.notion.so/Newbie-AI-lora-training-tutorial-English-2c2e4ae984ab8177b312e318827657e6?source=copy_link\">English</a></p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.notion.so/Newbie-AI-lora-2b84f7496d81803db524f5fc4a9c94b9?source=copy_link\">中文</a></p></li></ul><h3 id=\"communication\"><strong>💬 Communication</strong></h3><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://discord.gg/bDJjy7rBGm\">Discord</a></p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://pd.qq.com/s/a79to55q6\">解构原典</a></p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://qm.qq.com/q/qnHFwN9fSE\">ChatGroup</a></p></li></ul><h3 id=\"license\"><strong>📜 License</strong></h3><ul><li><p><strong>Model Weights:</strong> Newbie Non-Commercial Community License (Newbie-NC-1.0).</p><p>Applies to: model weights/parameters/configs and derivatives (fine-tunes, LoRA, merges, quantized variants, etc.)</p><p>For Non Commercial use only, and must be shared under the same license.</p><p>See <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1/blob/main/LICENSE.md\">NewBie-image-Exp0.1 LICENSE.md</a></p></li></ul><p></p><ul><li><p><strong>Code:</strong> Apache License 2.0.</p><p>Applies to: training/inference scripts and related source code in this project.</p><p>See <a target=\"_blank\" rel=\"ugc\" href=\"https://www.apache.org/licenses/LICENSE-2.0\">Apache-2.0</a></p></li></ul><h3 id=\"disclaimer\"><strong>⚠️ Disclaimer</strong></h3><p><strong>This model may produce unexpected or harmful outputs. Users are solely responsible for any risks and potential consequences arising from its use.</strong></p><p></p><p></p>",
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+ "newbiepipeline",
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+ "base model",
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+ "anime",
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+ "illustration",
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+ "newbie",
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+ "safetensors",
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+ "modelDescription": "<h1 id=\"newbie-image-exp0.1\"><strong>NewBie image Exp0.1</strong></h1><p><img src=\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/20bec9e6-a22e-421e-a570-8f8e2f1f8a50/width=525/20bec9e6-a22e-421e-a570-8f8e2f1f8a50.jpeg\" /></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/NewBieAI-Lab/NewBie-image-Exp0.1\">GitHub (Code)</a></p></li></ul><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/NewBieAI-Lab/NewbieLoraTrainer\">GitHub (LoRA Trainer)</a></p></li></ul><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/E-Anlia/ComfyUI-NewBie\">GitHub (ComfyUI)</a></p></li></ul><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1\">Hugging Face</a></p></li></ul><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/NewBieAi-lab/NewBie-image-Exp0.1\">ModelScope</a></p></li></ul><h3 id=\"exp0.1-base\"><strong><em>🧱 </em>Exp0.1 Base</strong></h3><ul><li><p><strong>NewBie image Exp0.1</strong> is a <strong>3.5B</strong> parameter DiT model developed through research on the Lumina architecture.</p><p>Building on these insights, it adopts Next-DiT as the foundation to design a new NewBie architecture tailored for text-to-image generation.</p><p>The <em>NewBie image Exp0.1</em> model is trained within this newly constructed system, representing the first experimental release of the NewBie text-to-image generation framework.</p></li></ul><p><strong><em>Text Encoders</em></strong></p><ul><li><p>We use Gemma3-4B-it as the primary text encoder, conditioning on its penultimate-layer token hidden states. We also extract pooled text features from Jina CLIP v2, project them, and fuse them into the time/AdaLN conditioning pathway. Together, Gemma3-4B-it and Jina CLIP v2 provide strong prompt understanding and improved instruction adherence.</p></li></ul><p><strong><em>VAE</em></strong></p><ul><li><p>Use the FLUX.1-dev 16channel VAE to encode images into latents, delivering richer, smoother color rendering and finer texture detail helping safeguard the stunning visual quality of NewBie image Exp0.1.</p></li></ul><p><strong><em>Prompt</em></strong></p><ul><li><p>XML structured prompt</p></li><li><p>Natural language prompt</p></li><li><p>Tag prompt</p></li></ul><h3 id=\"task-type\"><strong>🖼️ Task type</strong></h3><p><strong>NewBie image Exp0.1</strong> is pretrain on a large corpus of high-quality anime data, enabling the model to generate remarkably detailed and visually striking anime style images.</p><p><img src=\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f0faf6da-f5f3-4969-93ba-e70170aac56d/width=525/f0faf6da-f5f3-4969-93ba-e70170aac56d.jpeg\" />We reformatted the dataset text into an <strong>XML structured format</strong> for our experiments. Empirically, this improved attention binding and attribute/element disentanglement, and also led to faster convergence.</p><p>Besides that, It also supports natural language and tags inputs.</p><h3 id=\"model-zoo\"><strong>🧰 Model Zoo</strong></h3><p><strong>NewBie image Exp0.1: </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1\"><strong>Hugging face</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/NewBieAi-lab/NewBie-image-Exp0.1\"><strong>modelscope</strong></a></p><p><strong>Gemma3-4B-it: </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/google/gemma-3-4b-it\"><strong>Hugging face</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/google/gemma-3-4b-it\"><strong>modelscope</strong></a></p><p><strong>Jina CLIP v2: </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/jinaai/jina-clip-v2\"><strong>Hugging face</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/jinaai/jina-clip-v2\"><strong>modelscope</strong></a></p><p><strong>FLUX.1-dev VAE: </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/vae/diffusion_pytorch_model.safetensors\"><strong>Hugging face</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://www.modelscope.cn/models/black-forest-labs/FLUX.1-dev/tree/master/vae\"><strong>modelscope</strong></a></p><h3 id=\"training-procedure\"><strong>💪 Training procedure</strong></h3><p><img src=\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7c61edfd-5558-4129-b780-f2669e67ce53/width=525/7c61edfd-5558-4129-b780-f2669e67ce53.jpeg\" /></p><h3 id=\"participate\"><strong>🔬 Participate</strong></h3><p><strong><em>Core</em></strong></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/E-Anlia\"><strong>Anlia</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/CreeperMZ\"><strong>CreeperMZ</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/LAXMAYDAY\"><strong>L_A_X</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/maikaaomi\"><strong>maikaaomi</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/xuefei123456\"><strong>waw1w1</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/LakiCat\"><strong>LakiCat</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/windsingai\"><strong>chenkin</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/aplx\"><strong>aplxaplx</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/GuChen\"><strong>NULL</strong></a></p></li></ul><p><strong><em>Members</em></strong></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/niangao233\"><strong>niangao233</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/ginkgowm\"><strong>ginkgowm</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/leafmoone\"><strong>leafmoone</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/NaviVoid\"><strong>NaviVoid</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Emita\"><strong>Emita</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/TLFZ\"><strong>TLFZ</strong></a><strong> | </strong><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/3HOOO\"><strong>3HOOO</strong></a></p></li></ul><p></p><h3 id=\"acknowledgments\"><strong>✨ Acknowledgments</strong></h3><ul><li><p>Thanks to the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Alpha-VLLM\">Alpha-VLLM Org</a> for open sourcing the advanced <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/collections/Alpha-VLLM/lumina-family\">Lumina family</a>. which has been invaluable for our research.</p></li></ul><ul><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/google\">Google</a> for open sourcing the powerful <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/google/gemma-3-4b-it\">Gemma3</a> LLM family</p></li><li><p>Thanks to the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/jinaai\">Jina AI Org</a> for open sourcing the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/jinaai/jina-clip-v2\">Jina</a> family, enabling further research.</p></li><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/black-forest-labs\">Black Forest Labs</a> for open sourcing the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/vae\">FLUX VAE</a> family. powerful 16channel VAE is one of the key components behind improved image quality.</p></li></ul><ul><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/neta-art\">Neta.art</a> for fine-tuning and open sourcing the <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Alpha-VLLM/Lumina-Image-2.0\">Lumina-image-2.0</a> base model. <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/neta-art/Neta-Lumina\">Neta-Lumina</a> gives us the opportunity to study the performance of Next-DiT on Anime Types.</p></li><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/deepghs\">DeepGHS</a>/<a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/narugo1992\">narugo1992</a>/<a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/SumomoLee\">SumomoLee</a> for providing high-quality Anime Datasets.</p></li><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/nyanko7\">Nyanko</a> for the early help and support.</p></li><li><p>Thanks to <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/woctordho\">woctordho</a> for helping improve NewBie’s compatibility with community tools.</p></li></ul><h3 id=\"contribute\"><strong>📖 Contribute</strong></h3><ul><li><p><em>Neko, 衡鲍, XiaoLxl, xChenNing, Hapless, Lius</em></p></li><li><p><em>WindySea, 秋麒麟热茶, 古柯, Rnglg2, Ly, GHOSTLXH</em></p></li><li><p><em>Sarara, Seina, KKT机器人, NoirAlmondL, 天满, 暂时</em></p></li><li><p><em>Wenaka喵, ZhiHu, BounDless, DetaDT, 紫影のソナーニル</em></p></li><li><p><em>花火流光, R3DeK, 圣人A, 王王玉, 乾坤君Sennke, 砚青</em></p></li><li><p><em>Heathcliff01, 无音, MonitaChan, WhyPing, TangRenLan</em></p></li><li><p><em>HomemDesgraca, EPIC, ARKBIRD, Talan, 448, Hugs288</em></p></li></ul><h3 id=\"community-guide\"><strong>🧭 Community Guide</strong></h3><p><strong><em>Getting Started Guide</em></strong></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://ai.feishu.cn/wiki/NZl9wm7V1iuNzmkRKCUcb1USnsh\">English</a></p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://ai.feishu.cn/wiki/P3sgwUUjWih8ZWkpr0WcwXSMnTb\">中文</a></p></li></ul><p><strong><em>LoRa Trainer</em></strong></p><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.notion.so/Newbie-AI-lora-training-tutorial-English-2c2e4ae984ab8177b312e318827657e6?source=copy_link\">English</a></p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.notion.so/Newbie-AI-lora-2b84f7496d81803db524f5fc4a9c94b9?source=copy_link\">中文</a></p></li></ul><h3 id=\"communication\"><strong>💬 Communication</strong></h3><ul><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://discord.gg/bDJjy7rBGm\">Discord</a></p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://pd.qq.com/s/a79to55q6\">解构原典</a></p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://qm.qq.com/q/qnHFwN9fSE\">ChatGroup</a></p></li></ul><h3 id=\"license\"><strong>📜 License</strong></h3><ul><li><p><strong>Model Weights:</strong> Newbie Non-Commercial Community License (Newbie-NC-1.0).</p><p>Applies to: model weights/parameters/configs and derivatives (fine-tunes, LoRA, merges, quantized variants, etc.)</p><p>For Non Commercial use only, and must be shared under the same license.</p><p>See <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1/blob/main/LICENSE.md\">NewBie-image-Exp0.1 LICENSE.md</a></p></li></ul><p></p><ul><li><p><strong>Code:</strong> Apache License 2.0.</p><p>Applies to: training/inference scripts and related source code in this project.</p><p>See <a target=\"_blank\" rel=\"ugc\" href=\"https://www.apache.org/licenses/LICENSE-2.0\">Apache-2.0</a></p></li></ul><h3 id=\"disclaimer\"><strong>⚠️ Disclaimer</strong></h3><p><strong>This model may produce unexpected or harmful outputs. Users are solely responsible for any risks and potential consequences arising from its use.</strong></p><p></p><p></p>",
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