Prompt

Prefer natural language prompt. Prompt structure: style, subject, action, background.

Omit all the quality tags. You don't need those tags. The average output quality of this model should be higher than so-called "masterpiece".

There are two trigger words:

"digital art", 2d art but not anime.
"digital anime illustration": 2d anime.

Recommended settings

"Euler" or "Euler a" sampler.
20~30 steps.
cfg scale 1~3. Note: cfg 1 = disable negative prompt = 2x faster. Cover images are using cfg 1. cfg > 1 gives you better prompt adherence.
"Adjust Contrast" node to boost contrast.

RDBT [Anima]

Finetuned circlestone-labs/Anima. Experimental, but works.

CFG distilled to further improve quality and stability.

Dataset:

Focuses on basic drawing skills. Contains common enhancement such as hands, clothes, lightings backgrounds, etc.

No glossy AI slops in dataset. Glossy Al images are polluting the world, but not on my watch.

Natural language captions from Gemini.

Usage:

This model is trained as LoRa, for better training and distribution efficiency. You need to load the LoRA with strength 1 on "it's base model" (the base model that trained the LoRA). If you don't know what this means, or which one is the correct "base model", you can download and use this base model, which has merged this LoRA: https://civitai.com/models/2356447.

Prefer natural language prompt. Prompt structure: style, subject, action, background.

Omit all the quality tags. You don't need those tags. The average output quality of this model should be higher than so-called "masterpiece".

Recommended settings:

"Euler a" sampler.
20~30 steps.
cfg scale 1~3. Note: cfg 1 = disable negative prompt = 2x faster. Cover images are using cfg 1.
"Adjust Contrast" node to boost contrast. (If cfg 1)

If you want to use other "finetuned base model":

Use "trained" base model: If a base model is trained by the creator, They definitely will tell you in the model page, like what's its base model, dataset, training settings, etc. Just make sure this "trained base model" share the same "base model" with this LoRA. "Trained" base model is very stable, because it's very close to its "base model".

Do not use "merged" base model. If you can't find any info about "training" in the model page. You can assume the base model is not trained by the creator, so it should be a "merge". You would never know what's inside a "merged" model. "Merged" base model usually is unstable, it might be very far away from its labeled "base model", if it merged too many LoRAs. Any problems that happened with "merged base model" are unrelated to this LoRA. They are problems of the base model itself.

Restrictions:

Sharing merges using this model is not allowed. This is a distilled model, it shouldn't been merged. If you think this LoRA is useful, please share the link or the LoRA file.

FAQ

RDBT - Anima - p2 v0.23fd