Create README.md

README.md

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+---
+datasets:
+- KBlueLeaf/danbooru2023-sqlite
+language:
+- en
+library_name: diffusers
+---
+
+# Kohaku XL Gamma
+
+A SDXL anime base model aims to create unique artworks.
+<div style="display:flex; flex-direction: row; width: 100%;">
+  <div><img style="display:block;" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/afc1dc39-3a1c-4db9-9942-0b2c150124ce/original=true/00946.jpeg"/></div>
+  <div><img style="display:block;" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/20751b43-3d91-4802-b5cb-ce3857d1027a/original=true/00937.jpeg"/></div>
+  <div><img style="display:block;" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fade32c7-7cb8-4a69-84f3-d3da0f4b319d/original=true/00943.jpeg"/></div>
+</div>
+
+---
+
+## Introduction
+
+This model can be seen as a derivative of Animagine XL 3.0 project.
+Basically I'm collaborating with Linaqruf for making better Anime base model (and it is obvious that we have different goal/target)
+We share our models and technique to improve our models' quality.
+And that is also how this model been created.
+
+
+### Base7
+
+Kohaku-XL base7 is resumed from beta7 and use same dataset that beta series have used. But this time I use my own metadata system to create captions. (Can be taken as advanced version of what linaqruf used, will open source it soon)
+
+The metadata database can be downloaded here:
+KBlueLeaf/danbooru2023-sqlite · Datasets at Hugging Face
+
+Trainin details:
+LR: 8e-6/2e-6
+Scheduler: constant with warmup
+Batch size: 128 (batch size 4 * grad acc 16 * gpu count 2) 
+
+
+### Gamma rev1
+
+Kohaku-XL Gamma rev1 is a merged model which combine the learned diff from anxl3 and kohaku xl base 7. With this forumla:
+
+gamma rev1 = beta7 + 0.8 * (anxl3 - anxl2) + 0.5 * (base7 - beta7)
+
+---
+
+## Usage
+
+This model use my own system for quality tags or something like that. 
+So although this model combine the diff weight from anxl3, I will still recommend user to use mine (or both) tagging system.
+
+The format of prompt is as same as anxl3. (You can check the sample images I post)
+
+Rating tags:
+* General: safe
+* Sensitive: sensitive
+* Questionable: nsfw
+* Explicit: explicit, nsfw
+
+Quality tags (Better to worse):
+* Masterpiece
+* best quality
+* great quality
+* good quality
+* normal quality
+* low quality
+* worst quality
+
+
+Year tags (New to Old):
+* newest
+* recent
+* mid
+* early
+* old
+
+---
+## Future plan
+
+Since my dataset have some resize/webp artifacts that will harm the models. I will recreate my dataset based on my new system (and opensource it once I done it).
+
+The next plan is to train model on larger (3M~6M) dataset with better configuration (which will require A100s and I plan to spend about 2000~10000 USD on it, if you like my works, consider to sponsor me via buy-me-a-coffee or some BTC-sutff)