■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.
■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 NSFW 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
LoRA （1.01 GB ）:Fewer steps to LoRa and training settings
Training Data (22.82 KB):comfyui workflow
Do you like the glossy skin of SDXL?
This LoRA was trained at 1024px using 1,250 SDXL images featuring that exact look.
Honestly, Anima already has a strong "AI-generated" style similar to SDXL, but using this LoRA will give your generations an even stronger AI vibe.
There is no trigger word; just generate as you normally would.
The LoRA might be slightly overfitted, so lowering the weight is recommended. Alternatively, I have also provided a backup LoRA with fewer training steps, which might be worth trying out. You might find the perfect balance with that one.
I'm not sure if anyone will want to, but you are more than welcome to use my LoRA in your merges and publish the resulting models.
However, I would highly appreciate it if you could disclose the source models and LoRAs used in your merge.
This is to help prevent "merge pollution"—accidentally mixing in older versions of models—when the final, completed version of the Anima model is released in the future.
Let's work together to build a transparent model ecosystem!
The step count might seem low, but since the effective batch size is 32, it's actually being trained for a decent number of epochs.
Just as a side note, I personally hand-curated all the images for the AI dataset. I made sure to keep any structural flaws or artifacts to a bare minimum, so you won't find any low-quality generations mixed in.