FoodDesert
/

Boring_Embeddings

@@ -51,16 +51,15 @@ the model avoids making mistakes that would make the generation more boring.
 ## Versions
 ### boring_e621
 - **Description**: The first proof of concept of this idea.  It is less refined than the other versions, but its less-intense effect might still be desirable.
 - **Training Data Description**: A random selection of about 200 several-month-old images from e621.net having 0 favorites, fewer than 10(ish) up or down votes, and not having the tag "comic".
 - **Model Trained On**: [YE18](https://huggingface.co/Doubleyobro/yiffy-e18).
 - **Use Case**: Legacy.  Maybe still useful on Stable Diffusion 1.4 or 1.5-based models if you want a less intense effect.
 - **Trigger Word**: by boring_e621
 ### boring_e621_v4
 - **Description**: Extends the basic Boring embedding idea with several improvements including:
   - Tweaks to how data was selected for inclusion.
   - Initialized with text "by <average vector representation of 100 low-scoring e621 artist names>" (which means that you should not have to use the word "by" to trigger it anymore)
@@ -68,24 +67,25 @@ the model avoids making mistakes that would make the generation more boring.
 - **Model Trained On**: [YE18](https://huggingface.co/Doubleyobro/yiffy-e18).
 - **Use Case**: The most general purpose embedding.  Probably the best Boring embedding for most SD 1.4 or 1.5 based models.
 - **Trigger Word**: boring_e621_v4
 ### boring_e621_fluffyrock_v4
 - **Description**: A version of boring_e621_v4 trained on a different popular model that understands e621 tags.
 - **Training Data Description**: Identical training set to boring_e621_v4.
 - **Model Trained On**: [Some early non v-pred version of Fluffyrock](https://huggingface.co/lodestones/furryrock-model-safetensors).
 - **Use Case**: Best for models having Fluffyrock in their ancestry, but might not work well on versions with "v-pred" in the name.
 - **Trigger Word**: boring_e621_fluffyrock_v4
 ### boring_pony_v1
 - **Description**: A proof of concept using a dataset collected from derpibooru.org and trained on a model that understands derpibooru tags.
 - **Training Data Description**: About 200 several-month-old images from derpibooru.org having 0 favorites, a score of <= 0, and fewer than 5 total up or down votes.
 - **Model Trained On**: [Pony Diffusion V4](https://huggingface.co/AstraliteHeart/pony-diffusion-v4)
 - **Use Case**: None yet.  It performs better on Pony Diffusion V4 than this model's in-built score-based negative-embedding-like tag (derpibooru_p_low), but less well than boring_e621_v4.
 - **Trigger Word**: boring_pony_v1
 # Bias, Risks, and Limitations
@@ -94,6 +94,7 @@ the model avoids making mistakes that would make the generation more boring.
 * Unlike other negative embeddings, the Boring embeddings are not intended to fix problems like extra limbs or deformed hands.  They can be used alongside other negative embeddings to fix deformities.
 <br>
 # Evaluation
 To qualitatively illustrate how well the Boring embeddings have learned to improve image quality, we apply them to a small set of simple sample prompts using the base Stable Diffusion 1.5 model.

 ## Versions
 ### boring_e621
 - **Description**: The first proof of concept of this idea.  It is less refined than the other versions, but its less-intense effect might still be desirable.
 - **Training Data Description**: A random selection of about 200 several-month-old images from e621.net having 0 favorites, fewer than 10(ish) up or down votes, and not having the tag "comic".
 - **Model Trained On**: [YE18](https://huggingface.co/Doubleyobro/yiffy-e18).
 - **Use Case**: Legacy.  Maybe still useful on Stable Diffusion 1.4 or 1.5-based models if you want a less intense effect.
 - **Trigger Word**: by boring_e621
+<br>
 ### boring_e621_v4
 - **Description**: Extends the basic Boring embedding idea with several improvements including:
   - Tweaks to how data was selected for inclusion.
   - Initialized with text "by <average vector representation of 100 low-scoring e621 artist names>" (which means that you should not have to use the word "by" to trigger it anymore)
 - **Model Trained On**: [YE18](https://huggingface.co/Doubleyobro/yiffy-e18).
 - **Use Case**: The most general purpose embedding.  Probably the best Boring embedding for most SD 1.4 or 1.5 based models.
 - **Trigger Word**: boring_e621_v4
+<br>
 ### boring_e621_fluffyrock_v4
 - **Description**: A version of boring_e621_v4 trained on a different popular model that understands e621 tags.
 - **Training Data Description**: Identical training set to boring_e621_v4.
 - **Model Trained On**: [Some early non v-pred version of Fluffyrock](https://huggingface.co/lodestones/furryrock-model-safetensors).
 - **Use Case**: Best for models having Fluffyrock in their ancestry, but might not work well on versions with "v-pred" in the name.
 - **Trigger Word**: boring_e621_fluffyrock_v4
+<br>
 ### boring_pony_v1
 - **Description**: A proof of concept using a dataset collected from derpibooru.org and trained on a model that understands derpibooru tags.
 - **Training Data Description**: About 200 several-month-old images from derpibooru.org having 0 favorites, a score of <= 0, and fewer than 5 total up or down votes.
 - **Model Trained On**: [Pony Diffusion V4](https://huggingface.co/AstraliteHeart/pony-diffusion-v4)
 - **Use Case**: None yet.  It performs better on Pony Diffusion V4 than this model's in-built score-based negative-embedding-like tag (derpibooru_p_low), but less well than boring_e621_v4.
 - **Trigger Word**: boring_pony_v1
+<br>
 # Bias, Risks, and Limitations
 * Unlike other negative embeddings, the Boring embeddings are not intended to fix problems like extra limbs or deformed hands.  They can be used alongside other negative embeddings to fix deformities.
 <br>
 # Evaluation
 To qualitatively illustrate how well the Boring embeddings have learned to improve image quality, we apply them to a small set of simple sample prompts using the base Stable Diffusion 1.5 model.