anima_lora_lab - CivArchive (CivitAI Archive)

anima_lora_lab - retoroanime_cool_base-1.0

■This is an experimental ground for Anima LoRAs.

The LoRAs I create serve more of a role in stylistic tuning rather than reinforcing single concepts.There is no inherent superiority among the LoRAs; they simply serve different purposes. You can find the description for each LoRA in its respective tab.

■I would like to share the possibilities of anima with everyone.

My wish is for many people to discover basemodels with potential and to see their possibilities unfold even further. I would be happy if I can help make that happen.

■The anima architecture has been heavily modified and retrained from scratch—almost like a radical overhaul—but the base architecture is Cosmos-Predict2-2B. To put it simply, you could compare it to a lightweight version of Flux 1.

I think it’s a great architecture capable of generating high-quality images despite its small size.

I have a very good impression of Anima when it comes to color vibrancy, lighting, and prompt adherence.

Its knowledge regarding concepts, characters, and styles is at least on par with SDXL. The overall feel of using it is also quite similar to SDXL.

Furthermore, it is lightweight and easy to train. I believe large-scale training is also a viable option.

Since we are provided with a base model that already contains a vast amount of knowledge, we rarely need to teach the model completely unknown concepts from scratch.

Basically, our work mostly comes down to adjusting styles or reinforcing minor concepts and characters. You can achieve great results without having to do any heavy lifting.

The developer has also ensured transparency by sharing the training settings, which means you are less likely to stumble over black-box issues.

Because of this, the burden of training is low, making it an option well worth nurturing together as a community.

■The LoRA has a stronger influence when used with shorter prompts.

Since longer prompts often carry their own inherent style, the LoRA will primarily take on a supporting role to refine and unify the overall image.

■https://github.com/gazingstars123/Anima-Standalone-Trainer

This is a great tool that allows for easy training, even on Windows. It has everything you need for LoRA training.

Even if you run into any issues, you should be able to get your LoRA training up and running by troubleshooting with ChatGPT or Gemini.

If you find the tool useful, you might want to consider making a donation to him. It allows the developer to focus more on development and deliver even better tools, which ultimately benefits you in the long run.

■If you have any questions, please feel free to ask!

日本語での質問も大丈夫ですのでご気軽にお声がけください～

Description

This is a style LoRA focused on the aesthetics of cool, retro anime.

It was trained on a dataset of 16,000 carefully selected images from what can be considered masterpieces of traditional cel animation. You can find the list of the included works below.

■Recommended Settings:

A lower LoRA weight, around 0.5 to 0.8, is generally recommended and easier to work with. This allows you to achieve more stable generations while still enjoying the excellent color palette and overall atmosphere.

■Style Characteristics:

The overall style leans heavily into the defining elements of cel animation. It features stunning analog-style background art, a calm yet rich color sense that feels truly artistic, and classic cel animation effects like bloom and lens flares. Instead of overly vibrant, digital-looking colors, it tends toward deep, earthy tones that give a more profound and nostalgic impression.

■Versatility:

Because the dataset includes a wide range of genres—such as Sci-Fi, traditional Japanese style, and fantasy—this LoRA is highly flexible and can adapt to almost any genre of image you want to generate.

■Face Styles & Adjustments:

Character face styles are not strictly fixed, so you may notice the vibe shifting between the various works included in the dataset. Generally, however, they lean slightly towards a realistic touch, often giving the impression of young women with eyes that aren't overly large. Since the dataset contains just as many male images as female ones, male characters will follow the same stylistic tendencies when generated.

If you prefer to avoid overly realistic faces, or if you don't want the face style fluctuating with every generation, simply lowering the LoRA weight to allow the base model to have a stronger influence will usually strike the perfect balance.

■About the Files & Backups

To stabilize the style, this main LoRA is a merge of several different training steps.

I am also sharing the unmerged backup LoRAs that were used as ingredients for this merge.

■List of Works:

Cowboy_Bebop_movie&TV

ghost_in_the_shell

Rurouni_Kenshin_OVA

Memories

patlabor_movie_1.2.3

Vampire_Hunter_D

the_vision_of_escaflowne_movie

X (CLAMP 1996) movie

GUNDAM_The 08th MS Team_OVA

GUNDAM_0083: Stardust Memory_OVA

GUNDAM_W Endless Waltz_movie

■A Personal Note on the Anime

I truly believe the titles in this list represent the absolute pinnacle of traditional cel animation. The artwork in every single one is on par with fine art, and seeing it brought to life with such stunning animation is a truly rich visual experience. They are all fantastic masterpieces absolutely worth your time, so I highly recommend checking them out if you ever get the chance.