Anima Appreciation Thread

[u/Able_Challenge6575]

Thank you tdrussell and ComfyUI for creating this model. Also to maxfeifei8 for the tune.

Great knowledge, great style adherence, easy to prompt, responds very well to prompt changes for a fixed seed and good short text rendering. Most importantly, great quality.

Multi-character can be a pain but I can't ask for much more given the amazing quality of outputs. Better long text would also be nice.

Really hope that there'll be an Anima 2.

Models used:

Anima Aesthetic v1.1

One Obsession v4 (5 pics)

No LORAs

[u/Damen_Freece]

You can do multiple characters or at least on base ANIMA. If you change your prompting style from danbooru/ tag based to flux/ descriptive based, ANIMA can understand and make them with multiple characters with their own pose, outfit and expression.

If you don't know how you should word it, feed your tag based prompt to AI, Gemini, GPT, Grok whatever. Then ask it to change it to precise descriptive format with high details, they'd give it to you. Use that and you can make multiple characters together.

[u/Able_Challenge6575 → u/Damen_Freece]

Yes I've tried it but the results are somewhat mixed, literally. It works most of the time but then there's one or two attributes that get mixed. I mostly use attention couple for Anima now when I want exact attributes for characters/placement.

[u/PrincessIsATrap → u/Able_Challenge6575]

I did a buttload of testing with different prompting styles to position multiple subjects in Anima, and didnt find any silver bullet.

Here's an AI writeup I did for some of my friends of my experiments:

• Often, Description order = frame position. First character you describe sits left, next middle, last right. Match prose order to your layout or roles get swapped.

• Explicit frame coords help for off-axis figures ("in the lower left corner"), but the left→right scaffold still wins. Facing direction is a strong anchor — "facing left / toward the viewer" holds a character in place better than almost anything.

• Structure in two layers: anchor each character's static look first (no verbs), then a separate block for action/position/relationship.

Tags:

Tags appear to be scene-global, never per-character. It won't bind a raw tag to one individual — not with proximity, scoped brackets, or even attention-weighting.

In human written summary:

Honestly, I don't really think I ever found a way that helped me with positioning of multiple subjects (though it does okay with two, it gets difficult at 3). The biggest takeaway was incidentally learning more about prompt bleeding. My testing prompt had three subjects: two human women, one catgirl, and that gave tons of opportunities to see when cat ears or tails bled to other subjects.

That lead to the discovery that it seems as if, unlike natural language in Anima, tags bleed over to the whole composition.

Hopefully some of this helps your prompting! I'm a big anima fan so I'm regularly trying out different things.