This is Negative Embedding for SD1.5, Not for SDXL. The concept was to improve quality, such as <a target="_blank" rel="ugc" href="https://civarchive.com/models/7808/easynegative">EasyNegative</a> and <a target="_blank" rel="ugc" href="https://civarchive.com/models/11772/verybadimagenegative">veryBadImageNegative</a>.An12 Version has two embedding file.<ol><li>an12 (34.0KB)</li><li>an12_light (16.0KB)</li></ol>an12_light is a lightweight version of an12 with only 5 tokens. an12 is the full version.An11 Version has two embedding file.<ol><li>an11 (42.9KB)</li><li>an11_light (7.57KB)</li></ol>an11_light is a lightweight version of an11 with only 5 tokens. an11 is the full version.(In An7,An8,An11 this embedding was created by training at <a target="_blank" rel="ugc" href="https://github.com/tekitou898009890/stable_diffusion_webui_embedding_estimate">https://github.com/tekitou898009890/stable_diffusion_webui_embedding_estimate</a>.)(An10,An9 was retrained an8 using the kohya-ss version of textualinversion, and two patterns of TI were merged using embedding merge: one that resulted in a more easynegative result and one that was closer to the model picture.)Please use it in the "\stable-diffusion-webui\embeddings" folder. Please use this embedding with trigger words of each version (ex.an5) in the NEGATIVE prompt form.*It can be used with other models, but the effectiveness is not certain.

Async's Negative

This Version has two embedding file.<ol><li>an11</li><li>an11_light</li></ol>an11_light is a lightweight version of an11 with only 5 tokens. an11 is the full version.This is Negative Embedding. The concept was to improve quality, such as <a target="_blank" rel="ugc" href="https://civitai.com/models/7808/easynegative">EasyNegative</a> and <a target="_blank" rel="ugc" href="https://civitai.com/models/11772/verybadimagenegative">veryBadImageNegative</a>.This TI was created by retraining an8 with the kohya-ss version of textualinversion.This TI was retrained using the kohya-ss version of an8 with textualinversion, and two patterns of TI were merged using embedding merge: one that resulted in a more easynegative result and one that was closer to the model picture.I trained and created this embedding at <a target="_blank" rel="ugc" href="https://github.com/tekitou898009890/stable_diffusion_webui_embedding_estimate">https://github.com/tekitou898009890/stable_diffusion_webui_embedding_estimate</a>Please use it in the "\stable-diffusion-webui\embeddings" folder. Please use this embedding with trigger words of each version (ex.an11) in the NEGATIVE prompt form.

Files with SHA256: 27b19593f211af9a268f6f2fd7eaad8be35cef0146fd66bac95d924c04d2c4b9