■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.
■If you notice pixel patterns in your generated images, try the VAE below. It removes the pixelation typical of the qwen_vae and makes the images much sharper.
https://civarchive.com/models/2718533/hdr-vae-anima-qwen-image
■If the VAE looks a bit too saturated for your taste, try using this VAE merge node to blend it with the original qwen_vae to dial it in. A 0.5 merge should be just right.
https://civarchive.com/models/2487550/vae-merger-for-comfyui-anima
■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～
If you enjoy my work and feel like making a donation, I would be incredibly grateful. Even the smallest token of support goes a long way in helping me lighten the load.
Whether I receive donations or not, I will keep doing what I love and pursuing my interests just as I always have. However, simply knowing that this kind of support exists brings me immense joy and serves as a huge driving force for me.
Description
This is a style LoRA based on Madhouse's masterpiece anime movie, REDLINE.
It was trained on a carefully selected dataset of 800 images, and it faithfully reproduces the distinct, high-contrast look and the sharp, heavy black shadows characteristic of the film.
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. Included in these files is a version trained all the way up to 3500 steps, so I highly recommend experimenting with them to find the exact strength and look you prefer.
A Personal Note on the Anime
Much like Vampire Hunter D: Bloodlust, REDLINE can be considered one of the ultimate pinnacles of hand-drawn animation. If you haven't watched it yet, you absolutely must check it out!
FAQ
Comments (8)
i don't often add suggestions but oh well, is it possible for mega man x ?
Thanks for the suggestion!
I think it’s definitely a style worth exploring, but to be honest, I’ve never played *Mega Man Xmyself. Because of that, it might be quite difficult for me to capture the style perfectly on my own.
If you're willing to share some of your knowledge as a fan and help me out, I’d deeply appreciate it!
(Also, this turned out to be a really long message, so please feel free to ignore it if it feels like too much hassle! and , If the message feels a bit "AI-ish," don't worry about it—I just had it cleaned up a little because it was getting too long.)
■Creating this dataset feels like it could be a highly interesting project, so I think it's worth the effort and there’s a strong chance I’ll tackle it someday—though I can't guarantee when just yet, as dataset creation takes a lot of time. I actually wanted to try making a style LoRA for *Mega Man Battle Network (Rockman EXE)before, so this feels very close to that. Either way, extracting high-quality assets from games is always tough due to the limited resources.
In fact, Mega Man X might have even fewer available assets than Battle Network.
■The Main Challenges:
1. I don't know which media/sources to look into for building the dataset.
2. I'm not sure what the "ideal" *Mega Man Xstyle looks like to core fans.
If you don't mind, could you share some "reference images*of your ideal style, and let me know "which games, anime, or artbooks*would be the best sources for raw material?
*For example:Are there games with unlockable CG galleries or high-res illustrations? Are there specific anime adaptations, manga, or official media I should look into?
If we can pin those down, the chances of creating a high-quality LoRA that closely matches your ideal style will be much higher. Once I understand the true appeal of Mega Man X, it will align our expectations and directly improve the quality of the final model.
■What I’ve Found So Far:
Here is what I’ve looked into on my end. Please let me know if there are any other specific titles or search keywords that would help gather good images.
Also, if any of the following sources **do NOT match*your vision, please tell me so I can avoid using them!
Mega Man X Legacy Collection (Steam)
https://store.steampowered.com/app/743890/X/
I heard it features an in-game gallery with hundreds of illustrations, so it might be worth buying for the assets.
Cutscenes / Anime Footage (YouTube)
https://www.youtube.com/watch?v=MFXR1RCK-7w
Although the video quality is a bit low, the wide variety of shots makes it look very promising for a dataset.
Mega Man X DiVE
It seems like a good potential source for character renders and concept art. While mobile character sprites/art sometimes aren't ideal for training, it's better than nothing. However, since the online service has ended, I'll need to figure out how to extract or find those assets.
Mega Man X DiVE would be a good choice as it is one of the most up to date art style (i dont have that game i have the the first 4 x games on my xbox) finding the pics will be a pain as there is no art book(i dont think i will have to look when i have time) i could try but i offer no promises .
and i apologies if i came off as grumpy
@heatwoodzachary763
Thanks for sharing the images too!
You're right, Mega Man X DiVE seems to have a ton of variety, so using that as the baseline for the style sounds like a great plan. Even though I've never played the game, I've actually liked the main character—the girl with the light blue hair—for a while now because she's so cute!
Since the character renders don't have backgrounds, I think we'll need to use AI or photoshop to generate and add some appropriate backgrounds for them. But once we solve that, I feel like we can get really good results. I’ll start working on building the dataset with these assets as well.
It’s always so much fun figuring out how to recreate a style or concept that has very little info and is hard to come by. It’s given me a great boost of motivation. Thanks so much for the suggestion!
@heatwoodzachary763
Thanks for dropping the background images too! I'll definitely check them out for reference.