(Generation on CivitAI only works with the Lora version: https://civarchive.com/models/2737606/animadrones-v1-lora )
The Only Full Murder Drones Finetune (V2.3 Update)
(On CivitAI)
V2.3 is rained on more than 6000 images, this Full Finetune achieves unparalleled generalization across everything that makes Disassembly Drones and Worker Drones destinct.
I scraped literally every booru and image site and extracted and filtered every single one of the 300 000 frames of the ENTIRE show. I even finetuned a specialized CLIP model fo the captions!
Overall the distribution of the characters is wildly unbalanced, meaning: Very good at Uzi, V, J, Cyntessa, N, Doll and Lizzy; less good at Cyn and pretty bad at everything else. But with a specific enough prompt you can certainly bring every character from the Murder Drones universe on the canvas.
I'm ngl this is a NSFW model first and foremost, so be warned!
Please leave a like and a comment if you enjoy my models!
v2.3
A ground up retrain of the model on much more data, for longer and with multi caption.
MUCH better character consistency and prompt following
The model can generate MORE characters at once. Without mixups!
If mixups ocure, specify the hairstyle of the characters and that should give perfect accuracy.
MORE freedom with artstyle
Since the practically the entire show has been trained into this model you can switch two major artstyles!
Illustration
3d
Best performance with a two stage workflow. You can get mine by downloading one of the example images.
v2.3: ComfyUI + "res_2s" + sgm_uniform + CFG 4 + 30 steps
Dataset Distribution
Number of images ≠ Quality of character (at least not always)
UZIDOORMAN - 1960x
SD-N - 1897x
SD-V - 1590x
SD-J - 1140x
CYN - 546x
TESSA - 536x
DOLL - 271x
CYNTESSA - 242x
THAD - 172x
LIZZY - 164x
ALICE - 94x
NORI - 84x
KHAN - 75x
YEVA - 69x
SENTINEL - 64x
REBECCA - 22x
TESSA-ELIOT - 20x
DOLLS-DAD - 12x
v1.9
Better character consistency and prompt following
The model can generate many characters at once. Without mixups!
If mixups ocure, specify the hairstyle of the characters and that should give perfect accuracy.
A little less freedom with the artstyle
Best performance with a two stage workflow. You can get mine by downloading one of the example images.
v1.9: ComfyUI + "er_sde" or "res_2s" + sgm_uniform + CFG 4 + 30 steps
v1
Pretty good prompt following: Except it likes to mix up the topping and bottoming characters.
Sometimes this can be fixed by just changing the order of them in the prompt
Clothes arerelatively accurate, but you can change them to whatever you like
Best performance with a two stage workflow. You can get mine by downloading one of the example images.
It can do 3D, 2D and pretty much every other artstile Anima it self can do
v1: ComfyUI + "er_sde" + sgm_uniform + CFG 4 + 30 steps
Prompting (for V2.3):
Works best if you structure your prompt very well, so that every character tag can be cleanly associated with certain actions. Take my showcase images as examples!
If a character isn't generated correctly, type more describing traits: SD-V -> SD-V with short white hair, robot
BUT be aware that longer captions will ultimately degrade the models output! I noticed that this is the case with Anima in general.
Anima sometimes gives the drones human skin. Fix that by typing: robot
(Tbh "robot" should almost always be included)
The Model sometimes forgets the tail. Luckily you can remind it by typing: tail
This time tag-based prompts are king, but natural language works too in some extend.
Qwen3 is very flexible
Sometimes the negative prompt can mess things up. Keep it minimal!
Always specify the amount of drones in an image!
Like: 2 robots, robot, 1girl, 2girls, 1boy,, etc
Description
More data, More training, More filtering
Better at every character
Trained on the entire show (300k frames) filtered down to ~2k images.
6k dataset images, ~12k captions (multi caption approach for character identity reinforcement and editability)
Can be on model with good prompting
Short prompts work better than long prompts












