Hassaku aims to be a anime model with a bright and distinct anime style.
My Discord for everything related to anime models and art.
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Supporters:
Thanks to my supporters tamashiicolle, pttcot, SETI and Kodokuna
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Using the model:
The model was trained primarily on images with minimal disruptive elements, such as floating text, logos, speech bubbles, or signatures. If any of these elements appear in an image, please include "signature" in your negative prompt.
Danbooru Metadata and franchise tags are not used in training, so please avoid using them in prompts. Metadata such as "highres" and franchise tags like "re:zero kara hajimeru isekai seikatsu" are not used in training.
A CFG scale between 3 and 7 is recommended. For best results, use CFG 6 with the Euler a sampler.
Refer to the example images, to understand, how the model should be used.
The model is designed to be simple and straightforward to prompt. Use the following tag order:
Number of characters
Character Tags
All remaining tags
Example: 1girl, rem \(re:zero\), standing, masterpiece, upper body
Here are some resolution options for SDXL:
1536 x 640
1344 x 768
1216 x 832
1152 x 896
1024 x 1024
896 x 1152
832 x 1216 (most recommended)
768 x 1344
640 x 1536
Lora use:
NoobAIs Loras working for the most part better in compare to Illustrious loras
Versions 2 and 3 is less compatible to most loras trained on Illustrious or Noob, because it got further trained away of both. Style A is still the most compatible for it.
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Version and License info:
Below V1 merges ANIMAGINE XL 3.0
Version V1 use Illustrious-XL & WAI-NSFW-illustrious-SDXL with additional training
V2 is trained on its own and don't include any extra merge. Base was V1, it is trained to include newer or missing characters. It was also used for further training tests
V3 is a merge of Illustrious-XL and V2.2, to fix some issues and was also trained to include newer or missing characters
All Models using the Fair AI Public License 1.0-SD license.
Description
- Trained on up-to-date data, data cut last month. However, characters such as Ye Shunguang (ZZZ) still require many support tags and it will only depict her head right.
- Slightly improved prompt adherence.
- Brighter faces, less in shadows.
- More stable overall output, though somewhat more restrictive.
- Fewer unintended multiple-view compositions.
- Characters previously trained new in version 3.2 are now better trained in.
Worse:
- More sensitive to poorly structured prompts or a low number of prompt tags.
- Eye colors may occasionally differ from what is specified in the prompt (can be avoided by lowering cfg to 6).
- Style can be more inconsistent on some concepts, especially for characters.
Notes:
- Style can be inconsistent, especially for characters. Because the style merge is only strong enough to avoid breaking artist and character tags and that additional loras don't break the model to much.
- Use "Euler a" as the sampler, this is the sampler the model was primarily tested on.
- If only one character is desired, use “1girl” and add “solo” if necessary.
- To avoid nsfw art, put "nude" into the negative
The model was additional trained longer on a more unbiased dataset.
Now trained on bf16, prodigy with simplified ademamix, Factored + stochastic rounding, OrthoGrad to prevent overfitting and active Kourkotas Beta.