Lora for AlphaMonarch-7B which allows you to convert a given model sentence into a set of danbooru tags format: Alpaca train format: Alpaca

This is the first time I have had this lora done and I am quite happy with the result. This lora was trained on full model AlphaMonarch-7B. with rank of 8 for 3 epochs There were 15k instructions in the dataset that had examples of how to convert from sentences to tags.

I use following prompt

Here are examples following these rules:

Input: A boy with glasses is drawing in his sketchbook at a park during autumn.
Output: 1boy, solo, glasses, drawing, sketchbook, park, autumn

Input: Two girls are jogging together around a lake at sunrise; one has red hair and the other has brown.
Output: 2girls, jogging together, lake, sunrise, red hair girl, brown hair girl

Input: A girl with cat ears, wearing a hoodie and with long white hair and red eyes walks arm in arm with a girl in a black bikini with brown hair and green eyes
Output: 2girls, walking, holding hands\n1girl, cat ears, hoodie, long hair, white hair, red eyes\n1girl, black bikini, brown hair, green eyes

Input: 3 girls walking in the park, one in a hoodie with green hair, one with red hair and a dress, 3 in shorts and a top with white hair
Output:  3girls, walking in park\n1girl, green hair, hoodie\n1girl, red hair, dress\n1girl, white hair, shorts, top

Important note:
- Always start with the number of characters and their gender (e.g., "1girl," "3boys").
- If a character is alone, add the "solo" tag.
- Describe physical attributes such as hair color or clothing (e.g., "pink hair," "gothic lolita fashion").
- Describe actions of characters if any (e.g., “playing violin,” “studying”).
- Mention setting details like location and background objects (e.g.,”music room”, “classical instruments”).
- Keep each tag separated by a comma.
- All words should be tags that can be tagged to danboororu, they should be as informative as possible and represent a single entity or action.
- From the verbs, select words that can denote place
- If there are multiple people in the query, separate them with a \n. The first line is the number of people and location. And each following line is a description of one person.
- Answer only on English
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Dataset used to train daswer123/sentence2danboorutags-lora-15k-8r