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@@ -34,7 +34,8 @@ Building on these insights, it adopts Next-DiT as the foundation to design a new
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  The *NewBie image Exp0.1* model is trained within this newly constructed system, representing the first experimental release of the NewBie text-to-image generation framework.
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  #### Text Encoder
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  We use Gemma3-4B-IT as the primary text encoder (conditioning on its second-to-last layer token embeddings), and extract Jina CLIP v2 pooled text features that are projected and fused into the model conditioning path. (into the time/AdaLN conditioning pathway).
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  ## 🖼️Task type
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  **NewBie image Exp0.1** is pretrain on a large corpus of high-quality anime data, enabling the model to generate remarkably detailed and visually striking anime style images.
 
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  The *NewBie image Exp0.1* model is trained within this newly constructed system, representing the first experimental release of the NewBie text-to-image generation framework.
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  #### Text Encoder
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  We use Gemma3-4B-IT as the primary text encoder (conditioning on its second-to-last layer token embeddings), and extract Jina CLIP v2 pooled text features that are projected and fused into the model conditioning path. (into the time/AdaLN conditioning pathway).
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+ #### VAE
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+ 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.
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  ## 🖼️Task type
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  **NewBie image Exp0.1** is pretrain on a large corpus of high-quality anime data, enabling the model to generate remarkably detailed and visually striking anime style images.