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character",{"id":128,"title":128,"cover":13,"is_collect":25,"show_in":4},"girl，",{"step":4,"clip_skip":4,"train_ui_mode":4,"epoch":4},{"id":115,"desc":131},"\u003Cp>\u003Cstrong>NOTE: ALL CHARACTERS IN THE IMAGES ARE ADULTS.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch2>How to Use This Model\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>USE THEM SIMULTANEOUSLY\u003C\u002Fstrong>. In this case, you need to download both \u003Ccode>flandre_scarlet_touhou.pt\u003C\u002Fcode> and \n\u003Ccode>flandre_scarlet_touhou.safetensors\u003C\u002Fcode>, then \u003Cstrong>use \u003Ccode>flandre_scarlet_touhou.pt\u003C\u002Fcode> as texture inversion embedding, and use\n\u003Ccode>flandre_scarlet_touhou.safetensors\u003C\u002Fcode> as LoRA at the same time\u003C\u002Fstrong>.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>それらを同時に使用してください\u003C\u002Fstrong>。この場合、\u003Ccode>flandre_scarlet_touhou.pt\u003C\u002Fcode>と\u003Ccode>flandre_scarlet_touhou.safetensors\u003C\u002Fcode>の両方をダウンロード\nする必要があります。\u003Ccode>flandre_scarlet_touhou.pt\u003C\u002Fcode>をテクスチャ反転埋め込みとして使用し、同時に\u003Ccode>flandre_scarlet_touhou.safetensors\u003C\u002Fcode>をLoRAとして使用してください。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>同时使用它们\u003C\u002Fstrong>。在这种情况下，您需要下载\u003Ccode>flandre_scarlet_touhou.pt\u003C\u002Fcode>和\u003Ccode>flandre_scarlet_touhou.safetensors\u003C\u002Fcode>这两个文件，然后将\u003Ccode>flandre_scarlet_touhou.pt\u003C\u002Fcode>用作纹理反转嵌入，\n同时使用\u003Ccode>flandre_scarlet_touhou.safetensors\u003C\u002Fcode>作为LoRA。\u003C\u002Fp>\n\u003Cp>(Translated with ChatGPT)\u003C\u002Fp>\n\u003Cp>The trigger word is \u003Ccode>flandre_scarlet_touhou\u003C\u002Fcode>, and the recommended tags are \u003Ccode>masterpiece, best quality, highres, solo, {flandre_scarlet_touhou:1.10}, blonde_hair, wings, red_eyes, crystal, hat, ribbon, mob_cap, one_side_up, bangs, bow, smile, vest, white_headwear, ascot, blush, red_vest, red_ribbon, red_bow, hat_ribbon, hair_between_eyes, yellow_ascot, short_hair\u003C\u002Fcode>.\u003C\u002Fp>\n\u003Ch2>How This Model Is Trained\u003C\u002Fh2>\n\u003Cp>This model is trained with \u003Ca href=\"https:\u002F\u002Fgithub.com\u002F7eu7d7\u002FHCP-Diffusion\" rel=\"ugc\">HCP-Diffusion\u003C\u002Fa>. \nAnd the auto-training framework is maintained by \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fdeepghs\" rel=\"ugc\">DeepGHS Team\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch2>Why Some Preview Images Not Look Like Flandre Scarlet Touhou\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>All the prompt texts\u003C\u002Fstrong> used on the preview images (which can be viewed by clicking on the images) \n\u003Cstrong>are automatically generated using clustering algorithms\u003C\u002Fstrong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\u003C\u002Fp>\n\u003Cp>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. \u003Cstrong>The only thing you may need to do is fine-tune \nthe tags you use\u003C\u002Fstrong>.\u003C\u002Fp>\n\u003Ch2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do\u003C\u002Fh2>\n\u003Cp>Our model has been published on \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002FCyberHarem\u002Fflandre_scarlet_touhou\" rel=\"ugc\">huggingface repository - CyberHarem\u002Fflandre_scarlet_touhou\u003C\u002Fa>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n\u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002FCyberHarem\u002Fflandre_scarlet_touhou\" rel=\"ugc\">huggingface dataset - CyberHarem\u002Fflandre_scarlet_touhou\u003C\u002Fa>, which may be helpful to you.\u003C\u002Fp>\n\u003Ch2>Why Not Just Using The Better-Selected Images\u003C\u002Fh2>\n\u003Cp>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis \u003Cstrong>100% automated without any human intervention\u003C\u002Fstrong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\u003C\u002Fp>",{"name":9,"desc":13,"create_at":101,"rec_generate_param":29,"model_id":115,"publish_at":101,"update_at":133,"base_model_name":100,"rating":4,"model_type":106,"train_info":29,"trigger_words":134,"model_ver_id":8},1715913002394,[104,105]]